СПОСОБ ОБНАРУЖЕНИЯ НЕЗРЕЛЫХ РАЗРЯДОВ ПРИ ЭПИЛЕПСИИ У ЛАБОРАТОРНЫХ КРЫС С ПОМОЩЬЮ АНАЛИЗА ВСПЛЕСКООБРАЗНОЙ ЭЛЕКТРИЧЕСКОЙ АКТИВНОСТИ МОЗГА

Изобретение относится к медицине и цифровой обработке сигналов и может быть использовано в биомедицинских исследованиях, основанных на животных моделях эпилептических процессов, в том числе исследованиях, связанных с ранней диагностикой эпилепсии и воздействием фармакологических препаратов на эпилептические процессы. Способ обнаружения незрелых разрядов при эпилепсии у лабораторных крыс включает вживление электродов в череп крысы и регистрацию электроэнцефалограммы (ЭЭГ) с вживленных электродов. Основной электрод вживляют в левую часть кости черепа над фронтальной областью коры мозга крысы, а референтный электрод – в кость черепа, расположенную над мозжечком. Зарегистрированный ЭЭГ-сигнал разделяют на фрагменты по времени. Определяют вейвлет-спектрограммы фрагментов ЭЭГ-сигнала с выделением локальных максимумов, характеризующих всплески вейвлет-спектрограмм. Определяют параметры всплесков. Определяют количество всплесков в секунду, параметры которых соответствуют диапазонам, заранее определенным ...

Способ оценки эффективности лечения когнитивных нарушений у больных с артериальной гипертензией

Изобретение относится к медицине, а именно к кардиологии, терапии, неврологии, и может быть использовано для оценки эффективности терапии когнитивных нарушений у больных артериальной гипертензией (АГ). До назначения медикаментозной терапии проводят электроэнцефалографическое исследование (ЭЭГ). Определяют среднечастотный показатель и относительное значение мощности основного альфа-ритма в затылочных отведениях и суммарную биоэлектрическую активность. Также определяют показатель медленной ритмики (ПМР) в передних лобных отведениях. Если величина ПМР больше 40%, то к антигипертензивной терапии дополнительно проводят лечение препаратами с преимущественно вазоактивным и/или нейропротективным действием. После курса медикаментозной терапии повторяют ЭЭГ. Повторно определяют среднечастотный показатель и относительное значение мощности основного альфа-ритма в затылочных отведениях и суммарную биоэлектрическую активность. Если данные показатели остаются неизменными или снижаются по сравнению с теми ...

Способ определения реабилитационного потенциала двигательной системы после черепно-мозговой травмы

Изобретение относится к медицине, а именно к неврологии, реабилитации. Осуществляют регистрацию ЭЭГ в состоянии спокойного бодрствования с закрытыми глазами. Проводят топографическое картирование параметров когерентности для основных физиологических диапазонов ритмов. Индивидуальные показатели когерентности сравнивают с показателями нормы. Если в отведениях Cz-C4-C3, Pz-Cz, Pz-P3-P4, С4-Т4, С3-Т3 в диапазоне альфа-ритма значения когерентности равны или больше нормативных значений, фиксируют благоприятный прогноз и высокий реабилитационный потенциал. Если в отведениях Cz-C4-C3, Pz-Cz, Pz-P3-P4, С4-Т4, С3-Т3 в диапазоне альфа-ритма значения когерентности ниже нормативных значений более чем на 20%, то по истечении 14 дней реабилитационных мероприятий осуществляют повторную регистрацию ЭЭГ. Если по результатам повторного анализа ЭЭГ фиксируют повышение показателей когерентности на 20%, определяют средний реабилитационный потенциал. Если по результатам повторного анализа ЭЭГ фиксируют сохранение ...

A neural-inspired audio signal processor

An audio-signal processor (100) for filtering a signal of interest from an audio signal (111) comprising a mixture of signal-of-interest and noise. The processor (100) comprises a frontend unit (120), comprising a filter-bank (121) of bandpass filters, a sound level estimator (123), and a memory (122) with one or more input-output, I/O, functions stored on said memory (122). The frontend unit (120) is configured to receive: an unfiltered input audio signal (111), and human-derived neural-inspired feedback signals, NIFS. The frontend unit (120) extracts sound level estimates from an output of one or more bandpass filters using the sound level estimator (123), modify the input-output, I/O, functions in response to the received sound level estimates and the NIFS, and determine an enhanced I/O functions, and store the enhanced I/O functions on the memory (122). The enhanced I/O functions are used to determine modified filterbank parameters in response to the received NIFS and sound level estimates ...

Depressionserkennungssystem basierend auf einer unter Verwendung von Trainingssätzen getroffenen Kanalauswahl von Mehrkanal-Elektroenzephalographie.

Die Erfindung betrifft ein Depressionserkennungssystem basierend auf einer unter Verwendung von Trainingssatzen getroffenen Kanalauswahl von Mehrkanal-Elektroenzephalographie (EEG). Das System beseitigt effektiv durch Mehrkanal-EEG-Signale verursachte Informationsredundanz, reduziert die Berechnungskomplexität, und verbessert die Genauigkeit der Depressionserkennung. Das System umfasst ein Mehrkanal-EEG-Signalerhaltungsmodul, ein EEG-Signalvorverarbeitungsmodul, ein Merkmalsextraktionsmodul, ein Kanalauswahlmodul und ein Depressionserkennungsmodul. Das Mehrkanal-EEG-Signalerhaltungsmodul ist konfiguriert, Mehrkanal-EEG-Signale zu erhalten, die in einem Ruhezustand erfasst werden; das EEG-Signalvorverarbeitungsmodul ist konfiguriert, die erhaltenen Mehrkanal-EEG-Signale vorzuverarbeiten; das Merkmalsextraktionsmodul ist konfiguriert, effektive Merkmale zu extrahieren, die für eine optimale Kanalauswahl verwendet werden; das Kanalauswahlmodul ist konfiguriert, mit modifizierter Kernel-Zielausrichtung ...

Depressionserkennungssystem basierend auf einer unter Verwendung von Trainingssätzen getroffenen Kanalauswahl von Mehrkanal-Elektroenzephalographie.

Die Erfindung betrifft ein Depressionserkennungssystem basierend auf einer unter Verwendung von Trainingssatzen getroffenen Kanalauswahl von Mehrkanal-Elektroenzephalographie (EEG) Das System beseitigt effektiv durch Mehrkanal-EEG-Signale verursachte Informationsredundanz, reduziert die Berechnungskomplexität, und verbessert die Genauigkeit der Depressionserkennung Das System umfasst ein Mehrkanal-EEG-Signalerhaltungsmodul, ein EEG-Signalvorverarbeitungsmodul, ein Merkmalsextraktionsmodul, ein Kanalauswahlmodul und ein Depressionserkennungsmodul Das Mehrkanal-EEG-Signalerhaltungsmodul ist konfiguriert, Mehrkanal-EEG-Signale zu erhalten, die in einem Ruhezustand erfasst werden, das EEG-Signalvorverarbeitungsmodul ist konfiguriert, die erhaltenen Mehrkanal-EEG-Signale vorzuverarbeiten, das Merkmalsextraktionsmodul ist konfiguriert, effektive Merkmale zu extrahieren, die für eine optimale Kanalauswahl verwendet werden, das Kanalauswahlmodul ist konfiguriert, mit modifizierter Kernel-Zielausrichtung ...

BRAIN STIMULATION AND SENSING

Devices, systems, and techniques are disclosed for managing electrical stimulation therapy and/or sensing of physiological signals such as brain signals. For example, a system may assist a clinician in identifying one or more electrode combinations for sensing a brain signal. In another example, a user interface may display brain signal information and values of a stimulation parameter at least partially defining electrical stimulation delivered to a patient when the brain signal information was sensed. 1. A method comprising:obtaining, by processing circuitry, brain signal information for at least one electrode combination of a plurality of electrode combinations of one or more electrical leads;determining, by the processing circuitry and based on the brain signal information, a respective frequency for the at least one electrode combination;outputting, for display, a plurality of selectable lead icons, wherein each selectable lead icon of the plurality of selectable lead icons represents a different electrode combination of the plurality of electrode combinations;outputting, for display, the respective frequency determined for the at least one electrode combination in association with the respective selectable lead icon associated with the at least one electrode combination;receiving user input selecting one selectable lead icon of the plurality of selectable lead icons; andresponsive to receiving the user input, selecting, by the processing circuitry and for subsequent brain signal sensing, a sense electrode combination associated with the one selectable lead icon selected by the user input.2. The method of claim 1 , further comprising:outputting, for display, a selectable signal test icon;receiving user input selecting the selectable signal test icon; andresponsive to receiving the user input selecting the selectable signal test icon, controlling a medical device to obtain brain signal information for at least one electrode combination of the plurality of ...

APPARATUS AND COMPUTER-IMPLEMENTED METHOD FOR PROVIDING INFORMATION ABOUT A USER'S BRAIN RESOURCES, NON-TRANSITORY MACHINE-READABLE MEDIUM AND PROGRAM

An apparatus for providing information about a user's brain resources is provided. The apparatus includes at least sensor interface circuitry and processing circuitry coupled to the sensor interface circuitry. In a calibration mode, the sensor interface circuitry is configured to receive first sensor data from an electroencephalography sensor. The first sensor data are indicative of an electroencephalogram of the user. Further, the sensor interface circuitry is configured to receive second sensor data from a physiological sensor in the calibration mode. The second sensor data are indicative of a physiological property of the user. In the calibration mode, the processing circuitry is configured to train a brain-physiological model for the user based on the first sensor data and the second sensor data.

Control device comprising detection unit configured to perform detection of brain wave and control method therefor

The present technology relates to a control device and a control method capable of providing a more convenient electroencephalogram input user interface. Provided is a control device including a detection unit configured to perform detection of a brain wave included in a measured biometric signal of a user and detection of a user action based on information other than the brain wave included in the biometric signal, and a processing unit configured to perform a predetermined process based on the brain wave in a case where the user action is a predetermined action. For example, the present technology can be applied to a measurement device capable of measuring a brain wave signal.

ПРОГРАММНО-АППАРАТНЫЙ КОМПЛЕКС ДЛЯ УЛУЧШЕНИЯ КОГНИТИВНЫХ ФУНКЦИЙ ПОЛЬЗОВАТЕЛЯ

Изобретение относится к медицинской технике. Программно-аппаратный комплекс для улучшения когнитивных функций пользователя содержит вычислительное устройство, нейрокомпьютерный и программный интерфейсы и сервер. Вычислительное устройство представляет собой шлем виртуальной реальности с возможностью отображения информации и содержит клиентское приложение. Нейрокомпьютерный интерфейс содержит нейроусилитель. Программный интерфейс выполнен с возможностью подключения к нейроусилителю и активации команд на получение сопротивлений электродов и/или для снятия и записи данных электроэнцефалограммы головного мозга (ЭЭГ). Сервер включает модуль связи с нейрокомпьютерным интерфейсом, ядро программного интерфейса, модуль классификации сигналов ЭЭГ и модуль отправки данных клиентскому приложению. Для классификации сигналов ЭЭГ используется метод линейного дискриминантного анализа. Программный интерфейс содержит систему буферизации сигналов и модули управления клиентскими приложениями с синхронизацией ...

СПОСОБ ОБЪЕКТИВИЗАЦИИ ПОКАЗАНИЙ ДЛЯ НАЗНАЧЕНИЯ ЛАМОТРИДЖИНА ПРИ ЛЕЧЕНИИ ДЕПРЕССИИ

Изобретение относится к медицине, а именно к психиатрии, и может быть использовано при лечении депрессий. Дополнительно к клинической диагностике депрессии проводят электроэнцефалографическое исследование. В случае выявления в лобной, височной или теменной коре острых или заостренных волн, превышающих амплитудный уровень основного ритма, применяют ламотриджин в дозе 100-200 мг в сутки. Способ позволяет определить объективные показания к применению ламотриджина для лечения депрессий. 6 ил., 6 пр.

Способ повышения саморегуляции и адаптационных резервов у лиц юношеского возраста

FIELD: medicine.SUBSTANCE: invention relates to medicine and can be used to increase the effectiveness of self-regulation in young people. The method is implemented on the basis of biofeedback. The biofeedback course consists of 10-15 sessions of biofeedback with a total duration of 30 minutes each with sessions 3 times a week. Before and immediately after each biofeedback session, omegametry is performed, on the basis of which the patient is assigned to one of four groups according to the level of brain activation. A special set of exercises, techniques and tasks conducted during the biofeedback course aimed at improving self-regulation has been developed for each of the groups. At the same time, for the patient, the control parameter is a continuous measurement of his heart rate with the presentation of the value of this parameter on the monitor screen in real time simultaneously with the target value to be achieved as a result of the course.EFFECT: method provides an increase in the efficiency of self-regulation by determining and normalizing the functional state of the nervous system.1 cl, 1 tbl, 3 ex РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) (13) 2 760 385 C1 (51) МПК A61B 5/02 (2006.01) A61B 5/372 (2021.01) A61B 5/375 (2021.01) A61M 21/00 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ (12) ОПИСАНИЕ ИЗОБРЕТЕНИЯ К ПАТЕНТУ (52) СПК A61B 5/02 (2021.05); A61B 5/372 (2021.05); A61B 5/375 (2021.05); A61M 21/00 (2021.05) (21)(22) Заявка: 2020138551, 23.11.2020 (24) Дата начала отсчета срока действия патента: 24.11.2021 Приоритет(ы): (22) Дата подачи заявки: 23.11.2020 (45) Опубликовано: 24.11.2021 Бюл. № 33 2 7 6 0 3 8 5 R U (56) Список документов, цитированных в отчете о поиске: RU 2124370 C1, 10.01.1999. RU 2192910 C1, 20.11.2002. KZ 19209 А, 15.04.2008. US 8012097 B1, 06.09.2011. ЛИСОВА Н.А. Саморегуляция лиц юношеского возраста с разным типом темперамента и уровнями активации лобной коры головного мозга. Вестник психофизиологии N 1 2019, стр. 62-68. SHTARK ...

Способ прогнозирования функционального восстановления после ишемического инсульта

Изобретение относится к медицине, а именно к неврологии, реабилитационной медицине, и может быть использовано для прогнозирования вероятности восстановления функциональной активности после ишемического инсульта. Оценивают возраст (лет), давность инсульта (месяцев). Определяют степень двигательных нарушений в паретичной руке и ноге по шкале Фугл-Мейера (балл), степень нарушения функции равновесия по шкале Фугл-Мейера (балл), исходный уровень жизнедеятельности по шкале реабилитационной маршрутизации (балл). Проводят ЭЭГ с определением индексов симметрии для отведений FP1-FP2, F3-F4, С3-С4, Р3-Р4, O1-O2, F7-F8, Т3-Т4, Т5-Т6. Рассчитывают вероятность прогноза Р по заявленным формулам. При Р 0,5 и более пациента относят к группе с положительным прогнозом функционального восстановления. При Р менее пациента относят к группе с отрицательным прогнозом. Способ обеспечивает повышение точности прогнозирования потенциальной способности выполнения жизненно важных задач в условиях реальной жизненной ...

Способ электростимуляции коры головного мозга при невротических расстройствах, связанных со стрессом у человека

Изобретение относится к функциональной диагностике, восстановительной медицине, физиотерапии и может быть использовано при лечении пациентов с невротическими расстройствами, связанными со стрессом. В состоянии бодрствования пациенту проводят электроэнцефалографию (ЭЭГ) с регистрацией частот ритмов головного мозга. Выявляют патологические ритмы. При отсутствии на ЭЭГ патологических ритмов, выявляют отклонения значения частоты по меньшей мере одного ритма от нормы. Осуществляют электростимуляцию коры головного мозга путем наложения в височной области пациента двух электродов с последующим пропусканием через электроды переменного электрического тока с той частотой, значение которой является отклонением от нормы. Длительность одного сеанса электростимуляции составляет не более 20 минут. Курс лечения 5-10 сеансов. Способ обеспечивает улучшение качества жизни и нивелирование симптомов различных невротических расстройств, связанных со стрессом у человека за счет индивидуального подхода к проведению ...

УСТРОЙСТВО ДЛЯ ОЦЕНКИ ПАРАМЕТРОВ РИТМИЧЕСКОЙ АКТИВНОСТИ МОЗГА В РЕАЛЬНОМ ВРЕМЕНИ НА БОРТУ МНОГОКАНАЛЬНОГО СТАЦИОНАРНОГО ЭЛЕКТРОЭНЦЕФАЛОГРАФА

Использование: для оценки параметров ритмической активности мозга в реальном времени. Сущность изобретения заключается в том, что устройство для оценки параметров ритмической активности мозга в реальном времени на борту многоканального стационарного электроэнцефалографа содержит: блок первичной настройки и калибровки алгоритма оценки параметров головного мозга (ГМ), выполненный с возможностью осуществлять расчет параметров модели ритмического сигнала и сигнала помехи и настройку весовых коэффициентов пространственного фильтра на основе отрезка записи ЭЭГ; цифровой многоканальный электроэнцефалограф, внутри которого расположены: блок предусиления и оцифровки откалиброванного сигнала ЭЭГ, выполненный с возможностью осуществлять регистрацию низкоамплитудных потенциалов ГМ, выполняя при этом их предусиление и оцифровку; сигнальный микропроцессор, выполненный с возможностью осуществлять оценку параметров ритмической активности ГМ в реальном времени, при этом оценка параметров сводится к следующему ...

Systems and methods for a wearable device for treating a health condition using ultrasound stimulation

In some aspects, a device wearable by or attached to or implanted within a person includes a sensor configured to detect an electroencephalogram (EEC) signal from the brain of the person and a transducer configured to apply to the brain a low power, substantially non-destructive ultrasound signal.

SYSTEMS AND METHODS FOR A WEARABLE DEVICE FOR SUBSTANTIALLY NON-DESTRUCTIVE ACOUSTIC STIMULATION

In some aspects, a device wearable by a person includes a sensor configured to detect a signal from the brain of the person and a transducer configured to apply to the brain an ultrasound signal. The ultrasound signal has a low power density and is substantially non-destructive with respect to tissue when applied to the brain.

BRAIN STIMULATION USING SUBCRANIAL ELECTRODE AND SUBCUTANEOUS ELECTRODE

A method is described, which provides electrical stimulation to a person, where the current flows from a subcranial electrode, through a target brain region, through a separate conductive path, and back to a subcutaneous electrode, and where the parameters of the electric current pulses are set to influence the resonant properties of the brain.

SYSTEMS AND METHODS FOR MONITORING AND ACTING ON A PHYSIOLOGICAL CONDITION OF A STIMULATION SYSTEM RECIPIENT

An illustrative system includes a stimulation device configured to apply stimulation to a recipient, a sensing device configured to detect a physiological condition of the recipient, and a processing unit communicatively coupled to the stimulation device and the sensing device. The processing unit determines a stimulation strategy that is customized to the recipient and includes stimulation frames and stimulation gaps. The processing unit then directs the stimulation device to apply the stimulation to the recipient in accordance with the stimulation strategy by applying the stimulation only during time that corresponds to the stimulation frames. The processing unit also directs the sensing device to detect the physiological condition of the recipient in accordance with the stimulation strategy by detecting only during time that corresponds to the stimulation gaps. Based on the detected physiological condition, the processing unit performs an action. Corresponding systems, methods, and apparatuses ...

SYSTEMS FOR DELIVERING SENSORY STIMULATION TO FACILITATE SLEEP ONSET

СПОСОБ ДИАГНОСТИКИ СИНДРОМА УМСТВЕННОЙ ОТСТАЛОСТИ, СЦЕПЛЕННОЙ С ЛОМКОЙ ХРОМОСОМОЙ X (FXS), У ДЕТЕЙ И ПОДРОСТКОВ В ВОЗРАСТЕ ОТ 3 ДО 19 ЛЕТ ПО ДАННЫМ СПЕКТРАЛЬНОГО АНАЛИЗА ЭЭГ

Изобретение относится к медицине, а именно к психиатрии, и может быть использовано для диагностики наличия синдрома умственной отсталости, сцепленной с ломкой хромосомой X (FXS), у пациентов в возрасте 3-19 лет. Регистрируют электроэнцефалограмму (ЭЭГ) с использованием международной схемы расположения электродов 10-20% с объединенным ушным электродом. Определяют значения нормализованной относительной спектральной мощности в альфа-полосе 8-13 Гц в отведении Т5 и натурального логарифма спектральной мощности в альфа-полосе 8-13 Гц в отведении O1. Также определяют нормализованную когерентность в альфа-полосе 8-13 Гц между отведениями Cz и С3, нормализованную когерентность в тета-полосе 4-8 Гц между отведениями O2 и Ο1 и натуральный логарифм отношения спектральной мощности в альфа-полосе 8-13 Гц к спектральной мощности в бета-2-полосе 20-30 Гц в отведении Pz. Определяют значение показателя Υ по заявленной формуле. При значении показателя Υ больше или равного 0 пациента относят к группе с синдромом ...

Способ лечения посттравматического стрессового расстройства с применением лечебных факторов курорта "Нальчик"

Изобретение относится к области медицины, в частности к реабилитационным мероприятиям для лечения посттравматического стрессового расстройства. Помимо реабилитационной программы дозированной ходьбы и приема азотно-термальных ванн, способ включает фармакотерапию, физические упражнения и психоэмоциональную коррекцию состояния пациента. Изобретение оказывает антистрессорный и седативный эффекты, способствует улучшению психоэмоционального статуса. 4 ил., 1 табл., 1 пр.

Метод диагностики центральной сенситизации при функциональной диспепсии

Изобретение относится к медицине и может быть использован для диагностики центральной сенситизации у пациентов с функциональной диспипсией. Проводят определение когнитивного вызванного потенциала Р300 до и после проведения питьевого теста натощак. При проведении теста используется негазированная питьевая вода комнатной температуры. Тест проводится до чувства полного насыщения. Уменьшение исходной амплитуды когнитивного вызванного потенциала Р300 после проведения питьевого теста на 30% и более свидетельствует о наличии центральной сенситизации. Способ позволяет провести диагностику центральной сенситизации безопасно, неинвазивно и доступно. 1 пр.

Способ коррекции нарушения рецептивной речи

Изобретение относится к медицине, а именно к нейрореабилитации, и может быть использовано для коррекции нарушения рецептивной речи у детей. Проводят курс тренингов с биологической обратной связью (БОС) на основе анализа электроэнцефалограммы. Сеансы проводят с интервалом 2-3 дня, длительностью 30-40 минут. Курс коррекции включает 10-20 сеансов. Сеансы проводят при расположении электродов в центральных, лобных и височных отведениях ЭЭГ. Способ позволяет ускорить процесс речевого развития детей с нарушением рецептивной речи. 2 пр.

Способ нейрокоррекции легких когнитивных нарушений у лиц пожилого возраста

Изобретение относится к медицине, а именно к нейропсихологии, геронтологии и может быть использовано для профилактики и коррекции легких когнитивных нарушений у лиц пожилого возраста. Проводят курс нейропсихологической реабилитации в сочетании с сеансами биологической обратной связи (БОС-терапия). Курс нейропсихологической реабилитации включает упражнения, состоящие из 4 блоков по четыре упражнения в каждом. Сеансы БОС-терапии направлены на увеличение мощности бета-ритмов и подавление тета-активности мозга, их проводят на протяжении всего курса нейропсихологической реабилитации, через день. Контролируемый параметр - отношение мощности бета и тета ритмов ЭЭГ пациента (тета/бета индекс), регистрируемая при помощи монополярных электродов на голове пациента. Эффективность коррекции оценивают, сравнивая результаты измерения общего уровня постоянных потенциалов (УПП) и тета/бета индекса ЭЭГ до проведения нейрокоррекции и результаты после завершения курса с нормативными значениями. Эффективным ...

СПОСОБ ДИАГНОСТИКИ НАРУШЕНИЙ САМОРЕГУЛЯЦИИ У ЛИЦ С РАССТРОЙСТВАМИ ЛИЧНОСТИ

FIELD: medicine; medical psychology. SUBSTANCE: examined person is presented with four cards with black-and-white images of figures of people who are in a situation of social interaction with each other: a situation containing perceptual interference with information deficit; a situation containing perceptual interference with information surplus; a situation containing a contradiction with information surplus; a situation with simple silhouettes with information deficit. The presentation of cards, in turn, is accompanied by questions about depicted situations. After that, answers are formalized according to such indicators as: adequacy of interpretation of the situation containing perceptual interference with information deficit; recognition of emotions of participants in the situation containing perceptual interference with information deficit; recognition of emotions of participants in the situation containing perceptual interference with information surplus; recognition of emotions of participants in the situation containing a contradiction with information surplus; adequacy of interpretation of the situation with simple silhouettes with information deficit. Answers are evaluated in points: 1 point - full compliance of the answer, 0.5 points - in partial compliance, 0 points - in complete non-compliance. In addition, EEG is performed and its following indicators are used: the presence of a reaction of alpha-rhythm activation to closing the eyes, a high upper value of a beta-rhythm amplitude - more than 15 mcV, the pathological appearance of a beta-rhythm in temporal and parietal parts of the brain. EEG indicators are evaluated in points: 1 point if available, 0 points if absent. A discriminant function is calculated according to the stated formula. The obtained value of the discriminant function is compared with the constant of -5.337. If its value is greater than the constant, it is concluded that the subject has disorders of self-regulation, if the value is ...

Способ диагностики нарушений функциональной активности мозга при вибрационной болезни, связанной с комбинированным воздействием локальной и общей вибрации

Изобретение относится к области медицины, а именно к неврологии, профессиональной патологии. У пациентов с вибрационной болезнью от комбинированного воздействия локальной и общей вибрации проводят ультразвуковое и нейрофизиологическое обследование. Определяют следующие показатели: максимальной линейной скорости кровотока внутренней сонной артерии ЛСК max ВСА по УЗДГ, индекса циркуляторного сопротивления внутренней сонной артерии RI ВСА по УЗДГ, индекса θ-ритма в правом переднелобном отведении по ЭЭГ, индекса θ-ритма в левом затылочном отведении по ЭЭГ, индекса β1-ритма в левом затылочном отведении по ЭЭГ, индекса β2-ритма в левом затылочном отведении по ЭЭГ, индекса θ-ритма в правом теменном отведении по ЭЭГ, уровня постоянного потенциала левого теменного отведения Ps по НЭК, уровня постоянного потенциала правого центрального отведения Cd по НЭК, уровня постоянного потенциала центрального затылочного отведения Oz по НЭК. Рассчитывают дискриминантную функцию F. Сравнивают полученный результат ...

System for use in improving cognitive function

A system comprising an EEG headcap, personal computer and cloud server system is configured to deliver a customised programme of activities to a user, based on an analysis of the EEG output from the user. The system is indicated in the treatment of mild cognitive disorder and early-stage dementia.

System for monitoring brain wave activity

Learnable Filters for EEG Classification

A NOVEL VLSI BASED ARCHITECTURE FOR STROKE DETECTION USING OPTIMIZED RESOURCE ALLOCATION

A NOVEL VLSI BASED ARCHITECTURE FOR STROKE DETECTION USING OPTIMIZED RESOURCE ALLOCATION In the current pandemic situation, patients with critical diseases are lacking immediate care which would reduce the mortality rate. This invention focuses on continuous monitoring of patient's EEG signals for occurrence of any seizures in brain signals. This system is designed using machine learning algorithm for resource optimization thereby implemented using VLSI technology. The proposed algorithm provides competitive performance as it requires EEG signals only from front and frontal temporal lobes instead of signals from standard full EEG system. Seizure detection is accurate just by easily mountable headsets of dry electrode without the need of painful through- hair electrodes which is highly uncomfortable and uses adhesive material. Compact VLSI implementation is uploaded on low power FPGA Actel Igloo AGL250 that consumes 110 Watts of dynamic power and required 1237 logical elements, operating ...

METHOD OF INCREMENTAL TRAINING TO CREATE NEW PATTERNS OF PHYSIOLOGICAL CONTROL SIGNALS

Disclosed herein is a method for training a subject to produce a new neural activity pattern that results in a desired behavior. The method creates a brain-computer interface mapping between a neural activity pattern of a set of neural units and the desired behavior in an intrinsic manifold, without learning. An outside manifold perturbation of the mapping is then created, defining a new neural activity pattern lying outside of the intrinsic manifold that will produce the desired behavior. The new neural activity pattern is taught by incrementally perturbing the neural activity pattern that produces the desired behavior between the intrinsic manifold and the outside manifold perturbation and having the subject learn the desired behavior for each increment. 1. A computer-implemented method for training a subject to create new patterns of physiological control signals , comprising:defining an initial mapping between a pattern of physiological control signals within an intrinsic manifold of the subject and a desired behavior;creating a desired mapping between a pattern of physiological control signals outside of the intrinsic manifold and the desired behavior;creating a series of mappings between a pattern of physiological control signals and the desired behavior, the patterns of physiological control signals in the series of mappings incrementally diverging from the pattern of physiological control signals within the intrinsic manifold and converging on the pattern of physiological control signals in the desired mapping; andexposing the subject to each mapping in the series of mappings, wherein the subject moves from one mapping in the series to a next mapping in the series when the subject produces the desired behavior using the one mapping.2. The method of wherein the training ends when the subject produces the desired behavior using the desired mapping.3. The method of wherein the patterns of physiological control signals are neural activity patterns.4. The method ...

METHODS AND SYSTEMS FOR SLOWING BRAIN ATROPHY

Способ локализации эпилептического очага в амигдало-гиппокампальном комплексе

Изобретение относится к области медицины, а именно к нейрохирургии, неврологии, эпилептологии, клинической нейрофизиологии. Проводят интраоперационную регистрацию электрокортикограммы (ЭКоГ) в проекции глубоких структур височной доли головного мозга. Чередование сигнала эпилептической активности с амплитудой > 40 мкВ и периодом глубокой депрессии сигнала с амплитудой < 20 мкВ, длительностью > 0,5 с, на фоне которой регистрируются эпилептиформные разряды - графоэлементы с амплитудой > 100 мкВ длительностью ≤ 70 мс свидетельствует о локализации очага эпилептической активности в амигдало-гиппокампальном комплексе височной доли. Способ обеспечивает относительную кратковременность, одномоментность – в процессе операции, наглядность выявления локализации эпилептического очага в амигдало-гиппокампальном комплексе. 1 пр.

СПОСОБ АВТОМАТИЧЕСКОГО ВЫДЕЛЕНИЯ ФИЗИОЛОГИЧЕСКИХ СОСТОЯНИЙ МЕЛКИХ ЛАБОРАТОРНЫХ ЖИВОТНЫХ

Изобретение относится к биомедицинским технологиям автоматической обработки сигналов электрической активности головного мозга, а именно к способам диагностики физиологических состояний животных. При этом регистрируют сигнал электрокортикограммы (ЭКоГ) и осуществляют его непрерывное вейвлетное преобразование. Определяют мгновенное распределение энергии вейвлетного спектра по временному масштабу в четырех частотных диапазонах f1[2,5-4,5]; f2[5-10]; f3[10,5-12,5]; f4[15-18] Гц. Рассчитывают усреднённые характеристики энергий,вейвлетного спектра. По общей длительности временного сигнала ЭКоГ автоматически рассчитывают пороговые значенияε1,ε2,ε1sw,ε2swусреднённых характеристик. Находят моменты пересечения порогов ε2,ε1 характеристикой, по которым детектируют моменты начала состояний сна и бодрствования. Находят моменты пересечения пороговε1sw,ε2swхарактеристикой, по которым диагностируют моменты началаи окончаниясостояния эпилептической активности. Обеспечивается расширение функциональных возможностей ...

СПОСОБ ИССЛЕДОВАНИЯ МОЗГОВОЙ АКТИВНОСТИ ПО ДАННЫМ СКАЛЬПОВОЙ ЭЛЕКТРОЭНЦЕФАЛОГРАММЫ

Изобретение относится к медицине, а именно к способу исследования мозговой активности по данным скальповой многоканальной ЭЭГ. При этом регистрируют многоканальную ЭЭГ за выбранный период времени. Рассчитывают евклидовы расстояния от исследуемой точки внутри головы, заданной своими координатами, до электродов, расположенных на поверхности скальпа, пространственные координаты которых известны. Рассчитывают коэффициенты ослабления потенциального сигнала от исследуемой точки до используемых скальповых электродов. Генерируют искусственный потенциал с расчетом его ослабления на скальповых электродах. Объединяют экспериментальные и сгенерированные данные в общий массив данных по отведениям. Рассчитывают матрицу корреляций между отведениями объединенной матрицы данных за весь удвоенный период. Факторизуют полученную корреляционную матрицу методом главных компонент. Осуществляют ортогональное вращение полученной матрицы факторных нагрузок. Получают матрицу факторных значений на основе объединенной ...

СПОСОБ ДИАГНОСТИКИ РАССТРОЙСТВ АУТИСТИЧЕСКОГО СПЕКТРА У ДЕТЕЙ

Изобретение относится к медицине и может быть использовано для диагностики расстройств аутистического спектра (РАС) у детей. Регистрируют ЭЭГ. В отведении Т5 определяют показатели спектральной мощности альфа-ритма в полосе частот 8-13 Гц и суммарной мощности дельта-ритма в полосе частот 1-4 Гц. В отведении С3 определяют показатель спектральной мощности тета-ритма в полосе частот 4-8 Гц. Между отведениями Р4 и Р3 определяют нормализованную когерентность тета-ритма в полосе частот 4-8 Гц. Рассчитывают показатель Υ по заявленной формуле. При Υ равном или больше нуля диагностируют РАС. Способ обеспечивает повышение точности и достоверности диагностики РАС у детей за счет использования средств объективного контроля и оценки наиболее значимых показателей. 1 табл., 3 пр.

Способ диагностики поражений центральной нервной системы при профессиональной нейросенсорной тугоухости

Изобретение относится к медицине, а именно к профессиональной патологии, оториноларингологии, неврологии и нейропсихологии. Проводят определение показателей уровня постоянного потенциала правого центрального Cd и теменного Pz отведений; регистрацию соматосенсорных вызванных потенциалов с определением показателей латентности пика соматосенсорных вызванных потенциалов N30 и межпикового интервала N18-N20. Проводят нейропсихологическое тестирование с определением показателей зрительного гнозиса и реципрокной координации. Рассчитывают диагностическую функцию F. Полученный результат сравнивают с константой. При F больше константы у пациента диагностируют признаки поражения центральной нервной системы при профессиональной нейросенсорной тугоухости. При F меньше или равно константе - признаки поражения центральной нервной системы, не связанные с профессиональным воздействием авиационного шума. Способ позволяет повысить точность диагностики за счет выявления признаков поражения центральной нервной ...

A device and method for measuring and displaying bioelectrical function of the eyes and brain

Apparatus, system, and computer-readable media measure electroencephalography (EEG) signals or ERG signals generated from a device that presents a series of images on a timing cycle to a subject. The apparatus comprises a Central Processing Unit (CPU), Power Supply Unit (PSU), Random Access Memory (RAM), and a hard drive (HDD). The apparatus further includes at least one electrode and a photo-sensor like a photodiode for conversion of light into electric current. The CPU is operable with software for converting the EEG or ERG signals evoked from the visual stimuli to provide data and retrieving the status of EEG signals.

SYSTEMS AND METHODS FOR A WEARABLE DEVICE FOR ACOUSTIC STIMULATION

In some aspects, a device wearable by or attached to or implanted within a person includes a sensor configured to detect a signal from the brain of the person and a transducer configured to apply to the brain an acoustic signal. The sensor and the transducer are disposed on the head of the person in a non-invasive manner. The device includes a processor in communication with the sensor and the transducer.

Processing brain data using autoencoder neural networks

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing brain data using autoencoder neural networks. One of the methods includes obtaining brain data captured by one or more sensors characterizing brain activity of a patient; processing the brain data to generate modified brain data that characterizes a predicted local effect of a future treatment on the brain of the patient; processing the modified brain data using an autoencoder neural network to generate reconstructed brain data; and determining, using the reconstructed brain data, a predicted global effect of the future treatment on the brain of the patient.

Method and device for the technical support of the analysis of signals acquired by measurement, the signals having a time- and space-dependent signal characteristic

A method enables analysis of (e.g. bioelectric) signals acquired by measurement. The method provides N signals U for an observation space and each has a time- and space-dependent signal characteristic U. Digitized signals for a time period T have M time points and define an M×N matrix with M tuples of N signal values each. Signal values acquired at time t form an N-tuple Ūt=(U1, . . . , UN)tin a signal space. The method acquires all combinations of k tuples from the M tuples, and calculates distances between all tuples. Distance values are calculated and define edge lengths of a (k−1) simplex (SIM) with one simplex assigned to each combination of k time points. Quantity characteristics of the simplex (SIM) are encoded into color values (COL), and displays the colors in a combinatorial time lattice (CTL). Each lattice point (GP) is displayed with the color encoded for the assigned simplex.

Способ диагностики аффективного расстройства у пациентов с алкогольной зависимостью по данным электроэнцефалографического исследования

Изобретение относится к медицине, а именно к психиатрии и наркологии, и может быть использовано для диагностики аффективного расстройства у пациентов с алкогольной зависимостью. Регистрируют и определяют спектральную мощность и когерентности ЭЭГ-ритмов в состоянии спокойного расслабленного бодрствования с закрытыми глазами у пациентов с установленным диагнозом алкогольной зависимости. Вычисляют значение показателя Y по заявленной формуле. При Y равном 0,5 или более диагностируют наличие коморбидного аффективного расстройства у пациента с алкогольной зависимостью. При Y менее 0,5 - отсутствие коморбидного аффективного расстройства. Способ позволяет быстро и объективно провести диагностику аффективных расстройств у пациентов с алкогольной зависимостью за счет оценки комплекса наиболее значимых показателей. 1 ил., 3 табл., 2 пр.

Способ коррекции психологического состояния человека

Изобретение относится к области медицины, а именно к психологии. Способ осуществляется поэтапно. Изначально осуществляют психодиагностику пациента на наличие у него подсознательных программ, направленных на неудачи и страдание. Затем на предварительном этапе оператор проводит измерение электрической активности альфа, бета или гамма волн мозга пациента на устройстве Нейроинтерфейс. После чего на первом этапе оператор проводит релаксационный тренинг, включающий дыхательные упражнения дыхательной практики «Шесть исцеляющих звуков». На втором этапе определяют существующие у пациента параметры из ряда: наличие страхов, наличие психологических травм, приемлемость для пациента нарушения границ личного пространства, приемлемость для пациента психологического манипулирования и тирании по отношению к себе, уровень уважения к себе, уровень уважения к семейным ценностям, отношение к деньгам, отсутствие желания идти к успеху, уничижительное отношение к себе, отсутствие желания быть лучше; выявляют убеждения ...

Способ исследования когнитивных функций человека

Изобретение относится к области неврологии и нейропсихологии. Используют метод электроэнцефалографии с биологической обратной связью. Регистрируют электрическую активность головного мозга в состоянии «покой», «когнитивная нагрузка», «биоуправление расслаблением», «биоуправление вниманием» и «восстановление» по 3 минуты в каждом. Далее сравнивают индексы ритмов мозга в разных состояниях. При этом индекс по альфа-ритму в состоянии «покой» сравнивают с индексом в состоянии «восстановление». Индексы бета- и тета-ритмов в состоянии «когнитивная нагрузка» сравнивают с индексами в состоянии «биоуправление вниманием». На основании сравнительного анализа индексов ритма определяют степень выраженности изменения индекса ритма. Далее дают качественную характеристику когнитивных нарушений. Способ обеспечивает повышение эффективности исследования когнитивных функций человека. 3 пр.

Verfahren und Vorrichtung zur Bereitstellung eines Parameters, der auf einen Bewusstseinsverlust eines Patienten unter Narkose hinweist

Die Erfindung betrifft ein Verfahren und eine Vorrichtung zur Bereitstellung eines Parameters, der auf einen Bewusstseinsverlust eines Patienten unter Narkose hinweist. Das Verfahren umfasst die Schritte: Erfassen (301) mindestens eines EEG-Signals am Kopf des Patienten; fortlaufendes Bestimmen (302) der spektralen Eckfrequenz in einem aktuellen Zeitfenster des EEG-Signals; Bestimmen (303) des Verlaufs der spektralen Eckfrequenz des EEG-Signals in einem Zeitraum, der vor der Gabe eines narkoseinduzierenden Medikaments beginnt und nach dem Eintreten der narkoseinduzierten Bewusstlosigkeit endet; Bestimmen (304) des absoluten Minimums der spektralen Eckfrequenz in dem Zeitraum; und Bereitstellen (305) einer Information, zu welchem Zeitpunkt das absolute Minimum erreicht worden ist, als Parameter zur indiziellen Anzeige eines Bewusstseinsverlusts des Patienten.

Methods and systems for forecasting epileptic events

A method comprises determining historical data associated with a subject experiencing epileptic events over a first time period, the historical data comprising non-EEG physiological data recorded over the first time period, and a time at which epileptic events occurred during the first time period. The method further comprises extracting from the non-EEG physiological data, one or more temporal models indicative of a subject specific cycle; and generating one or more temporal probabilistic models based on the respective one or more temporal models, the non-EEG physiological data, and the times at which each epileptic event occurred, wherein each temporal probabilistic model is representative of a probability of future seizure activity in each of a plurality of time windows. The method further comprises providing the one or more temporal probabilistic models for determining an estimate of seizure probability in the subject for one or more of the plurality of time windows.

Learnable Filters for EEG Classification

A computer implemented method of classifying brain activity signals comprises: receiving 4.1 a plurality of channels of brain activity signals; generating 4.2 a plurality of channels of filtered brain activity signals by applying a plurality of filters to the received channels of brain activity signals, wherein the plurality of filters comprises a plurality of learned parameterised bandpass filters; determining 4.3, using a differentiable feature module, a plurality of feature maps from the plurality of channels of filtered brain activity signals; and determining 4.4, using a classification model, one or more classifications for the received plurality of channels of brain activity signals based on the determined feature maps. Another aspect provides a method of training a model for classifying brain activity signals. A further aspect provides a method of classifying signal data by generating a plurality of channels of filtered signal data by applying a plurality of filters to the received ...

DETERMINATION APPARATUS, BIOMAGNETISM MEASURING APPARATUS, AND DETERMINATION METHOD

A determination apparatus includes circuitry configured to: compare signal separation results obtained by a plurality of signal separation algorithms executed on a mixed signal in which signals emitted from a plurality of signal sources are mixed, each of the plurality of signal separation algorithms being an algorithm separating a signal of interest from the mixed signal; and determine a parameter of each of the plurality of signal separation algorithms based on a comparison result.

SYSTEM AND METHOD FOR ANALYZING BRAIN ACTIVITY

СПОСОБ МАТЕМАТИЧЕСКОГО ПРОГНОЗИРОВАНИЯ УРОВНЯ ПСИХОЭМОЦИОНАЛЬНОГО СОСТОЯНИЯ СПОРТСМЕНОВ, ПРИНИМАЮЩИХ УЧАСТИЕ В ЭКСТРЕМАЛЬНЫХ ВИДАХ СПОРТА

Изобретение относится к области медицины, в частности к области лечебной физкультуры и спортивной медицины, патофизиологии, и может быть использовано для прогнозирования уровня психоэмоционального состояния спортсменов, принимающих участие в экстремальных видах спорта. Проводят электроэнцефалографию (ЭЭГ). Определяют наиболее значимые предикторы: дельта (1И); альфа (И); альфа (М); тета (М); дельта (2М); дельта (1М); EEG POLY; бета (2И); ПС; бета (1И) и бета (1М). Далее по заявленным формулам определяют линейно-дискриминантные функции (ЛДФ1-ЛДФ8). При наибольшем значении ЛДФ1 у спортсменов, принимающих участие в экстремальных видах спорта, наибольшая вероятность критического уровня психоэмоционального состояния. При наибольшем значении ЛДФ2 наибольшая вероятность экстремального уровня психоэмоционального состояния. При наибольшем значении ЛДФ3 наибольшая вероятность очень плохого уровня психоэмоционального состояния. При наибольшем значении ЛДФ4 вероятность неудовлетворительного уровня психоэмоционального ...

СПОСОБ ДИАГНОСТИКИ ЛИКВОРОДИНАМИЧЕСКИХ, СОСУДИСТЫХ И СОПУТСТВУЮЩИХ ИМ НАРУШЕНИЙ В РАБОТЕ ЦЕНТРАЛЬНОЙ НЕРВНОЙ СИСТЕМЫ

Изобретение относится к медицине, а именно к неврологии, и может быть использовано для диагностики ликвородинамических, сосудистых и сопутствующих им нарушений в работе центральной нервной системы. С помощью энцефаловизиометрии получают данные о медленно-волновой мозговой активности в виде показателей уровня постоянных потенциалов пациента (УПП) пациента в пяти зонах - лобной (Fz), центральной / теменной (Cz), затылочной (Oz), правой (Td) и левой (Ts) височных в состоянии покоя пациента. Сравнивают полученные показатели с нормой, определяя отклонение от нормы в Мв. Затем производят ряд стимуляционных проб для активации корковых и подкорковых структур мозга пациента и получения дополнительных данных об отклонении рассматриваемых показателей от нормы в условиях активации работы мозга в соответствии с особенностями диагностики предполагаемых нарушений. Анализируется визуализация полученных фактических данных для комплексного и системного восприятия всех многофакторных отклонений УПП от нормы ...

Способ коррекции психоэмоциональных и когнитивных нарушений методом биологической обратной связи у больных с ранней формой церебральной микроангиопатии

Изобретение относится к области медицины, в частности к неврологии, психологии, нейрореабилитации. Электроэнцефалографический электрод располагают в правой затылочной области пациента. Запускают режим «тренинг» при частотном диапазоне биологически обратной связи 9-13 Гц. Определяют для пациента начальную амплитуду альфа-ритма по индивидуальному ЭЭГ-сигналу пациента, который представлен на экране монитора в виде красного столбика. После чего устанавливают диапазон амплитуды альфа-ритма выше начального уровня, к которому должен стремиться пациент. Если столбик активности индекса альфа-ритма находится ниже начального уровня, он будет красным, при приближении к требуемому результату активности альфа-ритма столбик будет желтым, а при попадании уровня сигнала к требуемому результату – зеленым, при достижении которого пациент получает положительную обратную связь в виде изменения картинки в картинку-релакс. Далее пациент управляет картинкой-релакс и уровнем сигнала, стремясь установить длительное ...

СПОСОБ РАННЕЙ ДИАГНОСТИКИ КОГНИТИВНЫХ НАРУШЕНИЙ У БОЛЬНЫХ САХАРНЫМ ДИАБЕТОМ 2 ТИПА, МОЛОДОГО И СРЕДНЕГО ВОЗРАСТА, ПРИ НАЛИЧИИ МИНИМАЛЬНОЙ НЕВРОЛОГИЧЕСКОЙ СИМПТОМАТИКИ

Изобретение относится к медицине, а именно к неврологии и эндокринологии. Определяют в сыворотке крови концентрации аутоантител к ионотропным рецепторам глутамата, селективно связывающие N-метил-D-аспартат от 18,7 до 23,5 мкг/мл. Определяют на ЭЭГ альфа-ритм в диапазоне от 13 мкВ до 39 мкВ, низкочастотный бета-ритм в диапазоне от 16 мкВ до 27 мкВ и высокочастотный бета-ритм в диапазоне от 15 мкВ до 35 мкВ. Совокупность указанных выше признаков свидетельствует о развитии когнитивных нарушений (КН) у пациентов с сахарным диабетом 2 типа, молодого и среднего возраста. Способ обеспечивает повышение точности и эффективности ранней диагностики КН у пациентов с сахарным диабетом 2 типа молодого и среднего возраста при наличии минимальной неврологической симптоматики за счет оценки комплекса наиболее значимых показателей. 8 пр.

СПОСОБ АВТОМАТИЗИРОВАННОГО ОПРЕДЕЛЕНИЯ АРХИТЕКТУРЫ СНА У ПАЦИЕНТОВ С ХРОНИЧЕСКИМИ НАРУШЕНИЯМИ СОЗНАНИЯ

Изобретение относится к медицине. Проводят фильтрацию полученных сигналов ЭЭГ, ЭМГ, ЭОГ и ЭКГ, удаление артефактов ЭОГ, ЭКГ и ЭМГ из каналов ЭЭГ. Проводят разбиение сигнала ЭЭГ на 30-секундные эпохи и компьютерную обработку полученной полисомнографической (ПСГ) записи. ПСГ запись осуществляют в течение по меньшей мере трех суток. Отмечают первую эпоху с основным корковым ритмом бодрствования. Получают численные данные о корковом ритме бодрствования: амплитуда, частота, локализация, морфология. Вводят полученные параметры в блок логического искусственного интеллекта в качестве исходной точки. Производят определение индивидуальных признаков сна или бодрствования в пределах каждой эпохи путем сопоставления с результатами анализа выделенной ранее эпохи. Классифицируют эпохи по фазам и стадиям сна, выделяя две фазы: фазу быстрого сна - R и фазу медленноволнового сна - N, которая включает в себя три стадии: первую - N1, вторую - N2, третью - N3. Формируют графическое представление результатов ...

Способ дифференциальной диагностики биполярного аффективного расстройства и униполярной депрессии по данным электроэнцефалографического исследования

Изобретение относится к медицине, а именно к психиатрии, и может быть использовано для дифференциальной диагностики биполярного аффективного расстройства и униполярной депрессии. Способ включает регистрацию и визуальную оценку электроэнцефалограммы в состоянии спокойного расслабленного бодрствования с закрытыми глазами. Расчет по заявленной формуле с определением показателя Y. При значении показателя Y, равного 0,5 или более, диагностируют биполярное аффективное расстройство. При Y менее 0,5 диагностируют униполярную депрессию. Способ позволяет быстро, точно и объективно провести дифференциальную диагностику аффективных расстройств биполярного и униполярного спектра. 1 ил., 1 табл., 2 пр.

СПОСОБ ПРОГНОЗА ТИПА ГОРМОНАЛЬНОГО РЕАГИРОВАНИЯ НА СТРЕСС

Изобретение относится к области медицины, а именно к медицинской психологии, и может быть использовано для прогноза типа гормонального реагирования на стресс. Проводят КГ, ЭЭГ, психологическое тестирование. Предъявляют пациенту шесть видеозаписей. По заявленной формуле рассчитывают линейные дискриминантные функции (ЛФД) по 14 показателям. При значении ЛДФ менее 93,626 диагностируют неадаптивный тип гормонального реагирования. При значении ЛДФ более 93,626 - адаптивный тип гормонального реагирования. Способ позволяет с высокой вероятностью оценить тип гормонального стресс-реагирования за счет оценки комплекса наиболее значимых показателей. 4 ил., 3 табл., 2 пр.

Способ коррекции зрелости ритмов головного мозга

Изобретение относится к нейрофизиологии и может быть использовано для коррекции зрелости ритмов головного мозга. Проводят диагностику зрелости ритмов головного мозга. Определяют «эталонную ритмику», «слабую регрессию», «умеренную регрессию» или «глубокую регрессию». Далее проводят коррекцию зрелости ритмов головного мозга. Воздействуют гармоническим монохроматическим световым сигналом с длиной волны из диапазона 630-760 нм с дискретно нарастающей частотой в диапазоне 4-20 Гц. Используют математическую модель таламокортикальной ячейки. Задают параметр модели d в зависимости от результата диагностики. Воздействуют световым сигналом, используя показатели, спрогнозированные моделью и обеспечивающие переход к более высокому уровню зрелости ритмов головного мозга. Заканчивают коррекцию зрелости ритмов головного мозга при достижении обследуемым уровня «эталонной ритмики». Способ позволяет проводить коррекцию зрелости ритмов головного мозга и расширить возможности нейробиоуправления в медицине ...

Systems and methods for a device using a statistical model trained on annotated signal data

In some aspects, a device includes a sensor configured to detect a signal from the brain of the person and a plurality of transducers, each configured to apply to the brain an acoustic signal. One of the plurality of transducers is selected using a statistical model trained on signal data annotated with one or more values relating to identifying a health condition.

SYSTEMS AND METHODS FOR A WEARABLE DEVICE INCLUDING STIMULATION AND MONITORING COMPONENTS

In some aspects, a device wearable by or attached to or implanted within a person includes a sensor configured to detect a signal from the brain of the person and a transducer configured to apply to the brain an acoustic signal.

SYSTEMS AND METHODS FOR A DEVICE FOR ENERGY EFFICIENT MONITORING OF THE BRAIN

In some aspects, a device includes a sensor configured to detect a signal from the brain of the person and a first processor in communication with the sensor. The first processor is programmed to identify health condition and, based on the identified health condition, provide data from the signal to a second processor outside the device to corroborate or contradict the identified health condition.

SYSTEMS AND METHODS FOR A DEVICE USING A STATISTICAL MODEL TRAINED ON ANNOTATED SIGNAL DATA

In some aspects, a device includes a sensor configured to detect a signal from the brain of the person and a plurality of transducers, each configured to apply to the brain an acoustic signal. One of the plurality of transducers is selected using a statistical model trained on signal data annotated with one or more values relating to identifying a health condition.

SYSTEMS AND METHODS FOR A DEVICE USING A STATISTICAL MODEL TRAINED ON ANNOTATED SIGNAL DATA

In some aspects, a device includes a sensor configured to detect a signal from the brain of the person and a plurality of transducers, each configured to apply to the brain an acoustic signal. One of the plurality of transducers is selected using a statistical model trained on signal data annotated with one or more values relating to identifying a health condition.

METHOD AND SYSTEM FOR GENERATING A PERSONALIZED PLAYLIST OF SOUNDS

A method for generating for a subject a personalized playlist of sounds, notably songs, using the analysis of the subject's electroencephalographic signal, the method including the following steps: receiving at least one segment of electroencephalographic signal acquired from at least one electrode while the subject is listening to at least one proposed sound; extracting at least one EEG index from the electroencephalographic signal segment so as to characterize brain patterns correlated to the emotions evoked by the music and the level of appreciation of the sound; evaluating the valence of sounds listening on the basis of the EEG index; receiving a score of appreciation on the sound from the subject; including the sound in the personalized playlist (P) of the subject whenever the valence matches a predefined valence and/or the score of appreciation is higher than a predefined threshold.

Source localization of EEG signals

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing EEG source localization. One of the methods includes obtaining brain data comprising: EEG data comprising respective channel data corresponding to each of a plurality of electrodes of an EEG sensor, and fMRI data comprising respective voxel data corresponding to each of a plurality of voxels; identifying, in a three-dimensional coordinate system, a respective location for each electrode; generating, using the respective identified locations of each electrode, data representing a location in the three-dimensional coordinate system of each voxel; determining, for each electrode, a region of interest in the three-dimensional coordinate system; and identifying, for each electrode, one or more corresponding parcellations in the brain of the subject, wherein each parcellation that corresponds to an electrode at least partially overlaps with the region of interest of the electrode.

CUSTOMIZATION OF HELP INFORMATION BASED ON EEG DATA

A method implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

BRAIN FUNCTIONAL CONNECTIVITY CORRELATION VALUE CLUSTERING DEVICE, BRAIN FUNCTIONAL CONNECTIVITY CORRELATION VALUE CLUSTERING SYSTEM, BRAIN FUNCTIONAL CONNECTIVITY CORRELATION VALUE CLUSTERING METHOD, BRAIN FUNCTIONAL CONNECTIVITY CORRELATION VALUE CLASSIFIER PROGRAM, AND BRAIN ACTIVITY MARKER CLASSIFICATION SYSTEM

There is provided a therapy selection support device that generates a discriminator (identifier) as a diagnostic marker or a classifier as a stratification marker through machine learning on the basis of measurement data on brain activities and that uses the discriminator or the classifier as a biomarker. A therapy selection support system 300a, 300b, 500 includes a clustering device 300b that executes stratification in which the results of measurement of brain functional connectivity correlation values acquired from a plurality of second subjects are divided into a plurality of clusters through a clustering process. The therapy selection support system further includes: a database device 5100 that stores clusters obtained as a result of stratification by a clustering classifier and corresponding predetermined therapy information in association with each other; and a support information providing device 300a that receives an input of the results of measurement of brain activities of a first ...

Efficacy and/or therapeutic parameter recommendation using individual patient data and therapeutic brain network maps

Examples described herein may predict therapy efficacy and/or therapeutic parameters using a comparison of individual patient status data and brain network response maps for the therapy. For example, VNS parameters may be predicted using a comparison of patient EEG data and brain network response maps of VNS therapy at various parameters.

SYSTEMS AND METHODS FOR OPTIMIZING THE BEDSIDE INSERTION AND RECORDING FUNCTION OF SUBGALEAL ELECTRODE ARRAYS FOR SHORT-TERM HEMISPHERIC BRAIN MONITORING

The invention encompasses systems and methods allowing for minimally invasive insertion and functional optimization of implantable electrode arrays designed for placement within the subgaleal space to record brain electrical activity. The implantable arrays comprise a support structure capable of being implanted in the subgaleal space and comprising at least one reference element; at least one ground element; and one or more recording elements; and wherein said array is capable of detecting and/or transmitting a subgaleal electrical signal.

DATA PROCESSING SYSTEM FOR GENERATING PREDICTIONS OF COGNITIVE OUTCOME IN PATIENTS

A system for outputting a visual representation of a brain of a patient is configured to receive sensor data representing a behavior of a region of the brain of the patient. The system retrieves mapping data that maps a prediction value to the region. The prediction value is indicative of an effect on a behavior of the patient responsive to a treatment of the region, the mapping data being indexed to a patient identifier. The system receives, responsive to an application of a stimulation to the region, sensor data representing behavior of the region. The system executes a model that updates, based on the sensor data, the prediction value for the region. The system updates, responsive to executing the model, the mapping data by including the updated prediction value in the mapping data. The system outputs a visual representation of the updated mapping data comprising the updated prediction value.

SYSTEMS AND METHODS FOR A WEARABLE DEVICE FOR TREATING A HEALTH CONDITION USING ULTRASOUND STIMULATION

In some aspects, a device wearable by or attached to or implanted within a person includes a sensor configured to detect an electroencephalogram (EEC) signal from the brain of the person and a transducer configured to apply to the brain a low power, substantially non-destructive ultrasound signal.

APPARATUS AND METHOD FOR ASSESSING EMOTION OF INFANTS AND YOUNG CHILDREN

A system and apparatus for collecting electroencephalography (EEG) data from infants and young children is disclosed.

EFFICACY AND/OR THERAPEUTIC PARAMETER RECOMMENDATION USING INDIVIDUAL PATIENT DATA AND THERAPEUTIC BRAIN NETWORK MAPS

Examples described herein may predict therapy efficacy and/or therapeutic parameters using a comparison of individual patient status data and brain network response maps for the therapy. For example, VNS parameters may be predicted using a comparison of patient EEG data and brain network response maps of VNS therapy at various parameters.

METHOD FOR PROVIDING INFORMATION ON MAJOR DEPRESSIVE DISORDERS AND DEVICE FOR PROVIDING INFORMATION ON MAJOR DEPRESSIVE DISORDERS BY USING SAME

The present disclosure provides a method for providing information on a major depressive disorder, which is implemented by a processor, and a device using the same, the method comprising receiving brain wave data of an individual; generating brain activity data based on the brain wave data; and determining whether the individual's major depressive disorder is present by using a classification model configured to classify the major depressive disorder based on the brain activity data.

SYSTEM FOR SENSING EEG SIGNALS ON A LIVING BEING, AND SYSTEM FOR ELECTRICALLY STIMULATING TISSUE OF A LIVING BEING

Systems and methods for a wearable device for substantially non-destructive acoustic stimulation

In some aspects, a device wearable by a person includes a sensor configured to detect a signal from the brain of the person and a transducer configured to apply to the brain an ultrasound signal. The ultrasound signal has a low power density and is substantially non-destructive with respect to tissue when applied to the brain.

APPARATUS AND METHOD FOR UTILIZING A BRAIN FEATURE ACTIVITY MAP DATABASE TO CHARACTERIZE CONTENT

A computer implemented method includes supplying stimuli to an organism, measuring brain activity of the organism responsive to the stimuli and producing a brain feature activity map characterizing the brain activity. The operations of supplying, measuring and producing are repeated for different stimuli to form a brain feature activity map database. New stimuli are received. New stimuli features are mapped to a projected brain activity map. The projected brain activity map is compared to the brain feature activity map database to identify similarities and dissimilarities between the projected brain activity map and entries in the brain feature activity map database to designate a match. The new stimuli are characterized based upon the match.

SYSTEMS AND METHODS FOR A DEVICE FOR STEERING ACOUSTIC STIMULATION USING MACHINE LEARNING

In some aspects, a device includes a sensor configured to detect a signal from the brain of the person and a plurality of transducers, each configured to apply to the brain an acoustic signal. One of the plurality of transducers is selected using a statistical model trained on data from prior signals detected from the brain.

METHOD FOR IDENTIFICATION OF PATHOLOGICAL BRAIN ACTIVITY FROM SCALP ELECTROENCEPHALOGRAM

The present invention relates to a computer-implemented method for detecting pathological brain activity patterns from a scalp electroencephaiographic signal, the method comprising the steps of obtaining (A) an electroencephaiographic signal as a function of multiple channels and time; identifying (C), for each channel, the zero- crossings of the electroencephaiographic signal over a fixed threshold; generating a zero-crossing representation of at least a segment of the obtained electroencephaiographic signal with the identified zero-crossings; obtaining (D) a reference family of real functions of time and channels from a zero-crossing statistical analysis of zero-crossing representation of pre-recorded electroencephaiographic signals; calculating (E) a matching score by comparing said zero-crossing representation of a segment of the electroencephaiographic signal with at least one reference function from the reference family of functions; and computing the matching score as a function ...

ARTIFICIAL INTELLIGENT ELECTROENCEPHALOGRAPHY HEADBAND AND LEARNING SYSTEM AND METHOD USING THE SAME

An artificial intelligent electroencephalography headband includes: a sensor part that measures a learner's brain waves; a first algorithm processing part that comprises an artificial intelligence processor equipped with a neural network model and analyzes the measured brain waves; and a communication part that transmits learning guidance information created based on results of analysis of the brain waves to an external device, wherein the first algorithm processing part feeds the learner's left brain information and right brain information included in the brain waves and the learner's eye movement signals included in the brain waves into the neural network model and analyzes wave patterns in an EEG spectrum. 1. An artificial intelligent electroencephalography headband comprising:a sensor part that measures a learner's brain waves;a first algorithm processing part that comprises an artificial intelligence processor equipped with a neural network model and analyzes the measured brain waves; anda communication part that transmits learning guidance information created based on results of analysis of the brain waves to an external device,wherein the first algorithm processing part feeds the learner's left brain information and right brain information included in the brain waves and the learner's eye movement signals included in the brain waves into the neural network model and analyzes wave patterns in an EEG spectrum.2. The artificial intelligent electroencephalography headband of claim 1 , wherein the learner's eye movement signals comprise the number and frequency of the learner's eye blinks.3. The artificial intelligent electroencephalography headband of claim 1 , wherein the learning guidance information comprises a message urging the learner to increase concentration claim 1 , a message urging the learner to take a rest claim 1 , a message urging the learner to go over what he or she learned claim 1 , and a learning content recommendation message.4. The artificial ...

SYSTEM AND METHOD TO SHORTEN SLEEP LATENCY

The present disclosure pertains to shortening sleep latency during the wake to sleep transition. Sensory stimulation is delivered to a subject by sensory stimulators during a sleep session, and a measure of wakefulness of the subject is determined. The sensory stimulators are controlled based on the measure of wakefulness of the subject. The sensory stimulators may be controlled to modulate an intensity of the sensory stimulation delivered to the subject. For example, the sensory stimulators may decrease the intensity of the sensory stimulation as the measure of wakefulness decreases. The system then determines that the measure of wakefulness has reached stable sleep. The sensory stimulators are controlled based on the determination that the measure of wakefulness has reached stable sleep. The sensory stimulators may decrease the intensity of the sensory stimulation at a faster rate once the measure of wakefulness reaches stable sleep.

PORTABLE ELECTROENCEPHALOGRAPHY DEVICES

Selon un aspect, la présente description concerne un dispositif portatif (10) pour l'acquisition de signaux électroencéphalographiques (EEG) émis par un utilisateur. Le dispositif portatif comprend un support flexible (11) destiné à épouser une région localisée du crâne de l'utilisateur et un ensemble de capteurs (13) de signaux électriques générés par l'activité neuronale de l'utilisateur, agencés sur ledit support (11) de telle sorte à former des contacts avec le cuir chevelu lorsque le dispositif est porté par l'utilisateur. Pour chaque capteur, un circuit électronique de filtrage et d'amplification des signaux électriques détectés par ledit capteur est intégré dans le support flexible (11) et forme avec ledit capteur une électrode active. Le dispositif portatif comprend en outre un boîtier (12) comprenant une chaîne électronique de traitement des signaux issus desdits circuits électroniques de filtrage et d'amplification, ledit boîtier étant relié mécaniquement au support flexible pour ...

NETWORK METHODS FOR NEURODEGENERATIVE DISEASES

A method of determining patient response to a neuropharmacological intervention, a method of determining a patient's likelihood of developing one or more neurological disorders, and systems for the same. The method of determining a patient's likelihood of developing one or more neurological disorders, comprising the steps of: obtaining data indicative of electrical activity within the brain of the patient; generating a network, based at least in part on the obtained data, said network comprising a plurality of nodes and directed connections between nodes,wherein the network is indicative of a flow of the electrical activity within the brain of the patient; calculating, for each node, a difference in a number and/or strength of connections into the node and a number and/or strength of connections out of the node; and determining, using the calculated differences, the patient's likelihood of developing one or more neurological disorders.

Systems and methods for a device for steering acoustic stimulation using machine learning

In some aspects, a device includes a sensor configured to detect a signal from the brain of the person and a plurality of transducers, each configured to apply to the brain an acoustic signal. One of the plurality of transducers is selected using a statistical model trained on data from prior signals detected from the brain.

Intelligent pharmaceutical delivery system with non-concentric pumping mechanism to reduce flow anomaly and method of using

The present invention relates to the titration and delivery of anesthetic and sedative medications to a subject. Further, the present invention relates to a device and methods for titrating and delivering such medications in a semi-automated or fully automated manner and which can be monitoring and controlled remotely. Even still further, the present invention relates to such a device that can perform the titration and delivery of medication in a manner that minimalizes occlusion and prevents back flow of the medication. More particularly, the present invention relates to a device for titration and delivery of medication using a non-concentric pumping mechanism that gradual or progressively increases and decreases occlusion in the medication delivery line within the pump to minimize and/or prevent sudden formation and release of occlusion in order to provide more steady and continuous flow of the medication through the device to the subject.

DEVICES AND METHODS FOR REDUCING ANXIETY AND TREATING ANXIETY DISORDERS

In alternative embodiments, provided are products of manufacture, including devices and integrated systems, and methods, for reducing error-related negativity (ERN) and anxiety, and for treating or ameliorating Anxiety Disorders such as Generalized Anxiety Disorder (GAD) or Social Anxiety Disorder (SAD) and obsessive-compulsive disorder (OCD). 1. A product of manufacture , device or system for reducing error-related negativity (ERN) , worry and/or anxiety , comprising a neurofeedback mechanism system , wherein the neurofeedback mechanism is used on an individual in need thereof to reduce error-related negativity (ERN) , worry and/or anxiety , and/or treating or ameliorating an anxiety disorder or obsessive-compulsive disorder (OCD) , and/or treating or ameliorating the anxiety or worry in an individual in need thereof ,wherein the neurofeedback mechanism system comprises:an electro-encephalography (EEG) apparatus an electro-encephalography (EEG) apparatus, a functional magnetic resonance imaging (fMRI), and/or a vertical electrooculogram (EOG) operatively linked to a computer and to the individual, wherein the EEG, fMRI and/or EOG is capable of measuring reactions or responses by the individual to visual or aural cues or stimuli transmitted by the computer, and the EEG, fMRI and/or EOG transmits the reactions or responses by the individual back to the computer,wherein the computer is capable of giving visual or aural cues or stimuli to the individual, and receiving EEG, fMRI and/or EOG data back from the individual, and giving feedback to the individual in response to the EEG, fMRI and/or EOG data and/or the individuals responses to the visual or aural cues or stimuli, anda feedback mechanism that allows the individual to communicate with the computer, where optionally the feedback mechanism comprises use of a mouse operatively linked to the computer, and the feedback mechanism allows the computer to communicate with the individual after analysis of the individual's ...

Method and system for generating a personalized playlist of sounds

A method for generating for a subject a personalized playlist of sounds, notably songs, using the analysis of the subject's electroencephalographic signal, the method including the following steps: receiving at least one segment of electroencephalographic signal acquired from at least one electrode while the subject is listening to at least one proposed sound; extracting at least one EEG index from the electroencephalographic signal segment so as to characterize brain patterns correlated to the emotions evoked by the music and the level of appreciation of the sound; evaluating the valence of sounds listening on the basis of the EEG index; receiving a score of appreciation on the sound from the subject; including the sound in the personalized playlist (P) of the subject whenever the valence matches a predefined valence and/or the score of appreciation is higher than a predefined threshold.

Systems and methods for seizure detection with a statistical analysis and an artificial intelligence analysis

A seizure detection system including one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient. The one or more circuits are configured to identify candidate seizures with a statistical analysis that identifies the candidate seizures based on changes in non-linear features of the EEG signal, determine to switch from identifying the candidate seizures with the statistical analysis to an artificial intelligence model, and switch from identifying the candidate seizures with the statistical analysis to identifying the candidate seizures based on the artificial intelligence model with the EEG signal.

METHODS AND SYSTEMS FOR DETERMINING AND CORRECTING IMAGING ARTIFACTS

Data processing system for generating predictions of cognitive outcome in patients

A system for outputting a visual representation of a brain of a patient is configured to receive sensor data representing a behavior of a region of the brain of the patient. The system retrieves mapping data that maps a prediction value to the region. The prediction value is indicative of an effect on a behavior of the patient responsive to a treatment of the region, the mapping data being indexed to a patient identifier. The system receives, responsive to an application of a stimulation to the region, sensor data representing behavior of the region. The system executes a model that updates, based on the sensor data, the prediction value for the region. The system updates, responsive to executing the model, the mapping data by including the updated prediction value in the mapping data. The system outputs a visual representation of the updated mapping data comprising the updated prediction value.

Method for analyzing dynamic characteristic of EEG Functional connectivity related to driving fatigue

Disclosed is a method for analyzing dynamic characteristics of EEG functional connectivity related to driving fatigue including: using independent component analysis and wavelet packet transformation to preprocess EEG data; constructing the preprocessed EEG data into a temporal brain network with dynamic characteristics based on a sliding window method; measuring a spatiotemporal topology of the temporal brain network based on a temporal efficiency analysis framework; and performing statistical analysis on the spatiotemporal topology of the temporal brain network to obtain a correlation between behaviors related to driving fatigue and dynamic characteristics of the temporal brain network, wherein the temporal brain network with dynamic characteristics is constructed by introducing the temporal characteristic into the static network of the driving fatigue, a spatiotemporal recombination rule of the temporal brain network during the driving fatigue can be obtained through statistical analysis ...

Network methods for neurodegenerative diseases

A method of determining patient response to a neuropharmacological intervention, a method of determining a patient's likelihood of developing one or more neurological disorders, and systems for the same. The method of determining a patient's likelihood of developing one or more neurological disorders, comprising the steps of: obtaining data indicative of electrical activity within the brain of the patient; generating a network, based at least in part on the obtained data, said network comprising a plurality of nodes and directed connections between nodes,wherein the network is indicative of a flow of the electrical activity within the brain of the patient; calculating, for each node, a difference in a number and/or strength of connections into the node and a number and/or strength of connections out of the node; and determining, using the calculated differences, the patient's likelihood of developing one or more neurological disorders.

MULTICLASS CLASSIFICATION METHOD FOR THE ESTIMATION OF EEG SIGNAL QUALITY

The present invention relates to a method for assessing the quality of an electroencephalographic signal (EEC) based on a multiclass classification, wherein said method comprises the following steps: receiving (REC) at least one segment of electroencephalographic signal (S) acquired from at least one electrode; extracting (EXT) at least one feature value (F) from each channel of the electroencephalographic signal segment (S); classifying with a first classification (CLAS1) so as to assign each channel of the electroencephalographic signal segment (S) to one of at least three quality classes (TAG): {TAG1, TAG2,..., TAGN}; wherein said first classification (CLAS1) is performed by a k-nearest neighbors' algorithm.

A DEVICE AND METHOD FOR MEASURING AND DISPLAYING BIOELECTRICAL FUNCTION OF THE EYES AND BRAIN

Apparatus, system, and computer-readable media measure electroencephalography (EEG) signals or ERG signals generated from a device that presents a series of images on a timing cycle to a subject. The apparatus comprises a Central Processing Unit (CPU), Power Supply Unit (PSU), Random Access Memory (RAM), and a hard drive (HDD). The apparatus further includes at least one electrode and a photo-sensor like a photodiode for conversion of light into electric current. The CPU is operable with software for converting the EEG or ERG signals evoked from the visual stimuli to provide data and retrieving the status of EEG signals.

SLEEP ASSESSMENT SYSTEM, MASSAGE SYSTEM, CONTROL METHOD, AND ELECTRONIC DEVICE

A sleep assessment system includes a blood flow measurement unit and a assessment unit. The blood flow measurement unit acquires first information related to the blood flow of the user. The assessment unit determines the sleep stage of the user based on the first biological information.

Brain State Optimization with Audio Stimuli

A method and system for generating an optimal audio stimulus for achieving a target brain state value for a brain state. The method and system can be used to generate one or more brain state models which can decode brain activity signals to predict brain state values. The brain state models can be applied to brain activity signals captured while users are performing tasks with an audio stimulus. Audio features of the audio stimulus can be extracted. An audio-brain model can be trained on the predicted brain state values and the audio features. From the trained audio-brain model, the optimal audio stimulus can be generated.

ELECTROENCEPHALOGRAM SIGNAL CLASSIFICATION METHOD AND APPARATUS, DEVICE, STORAGE MEDIUM, AND PROGRAM PRODUCT

An electroencephalogram signal classification method includes: obtaining a first electroencephalogram signal; processing the first electroencephalogram signal using at least two electroencephalogram signal classification models to obtain respective motor imagery probability distributions from the at least two electroencephalogram signal classification models; and determining a motor imagery type of the first electroencephalogram signal based on the motor imagery probability distributions. A plurality of electroencephalogram signal classification models is respectively trained using an augmented data set obtained through augmentation. During prediction, by combining the plurality of electroencephalogram signal classification models, the accuracy of classifying an electroencephalogram signal to determine a motor imagery type may be improved, when using a model trained with a relatively small number of training samples.

MULTIMODAL HEARING ASSISTANCE DEVICES AND SYSTEMS

SYSTEMS, METHODS, AND APPARATUSES FOR NEUROLOGICAL ACTIVITY DATA ANALYSIS

System for use in improving cognitive function

Method of building classifiers for real-time classification of neurological states

A method of building binary classifiers for classification of brain electrical activity data into one or more neurological classes is described. The method comprises the steps of extracting quantitative features from the brain electrical activity data, and reducing the pool of extracted features into a computationally manageable and statistically relevant set of features which can then be used for designing one or more classifiers.

Health monitoring appliance

A heart monitoring system for a person includes one or more wireless nodes forming a wireless network; a wearable body sensor having a wireless transceiver adapted to communicate with the one or more wireless nodes.

System and method for continual decoding of brain states to multi-degree-of-freedom control signals in hands free devices

A brain-machine interface system configured to decode neural signals to control a target device includes a sensor to sample the neural signals, and a computer-readable storage medium having software instructions, which, when executed by a processor, cause the processor to transform the neural signals into a common representational space stored in the system, provide the common representational space as a state representation to inform an Actor recurrent neural network policy of the system, generate and evaluate, utilizing a deep recurrent neural network of the system having a generative sequence decoder, predictive sequences of control signals, supply a control signal to the target device to achieve an output of the target device, determine an intrinsic biometric-based reward signal, from the common representational space, based on an expectation of the output of the target device, and supply the intrinsic biometric-based reward signal to a Critic model of the system.

Attention encoding stack in eeg trial aggregation

A machine learning system for aggregating electroencephalographic (EEG) data in preparation for downstream analysis via further machine learning models. Machine learning models can be used to assist in diagnosis of various mental health conditions, brain-computer interface, mood detection systems, or other biometric functions. Implementations of the present disclosure, employ a portion of the transformer network (the attention encoder stack) to aggregate EEG trials or EEG data segments, in a data-driven way, by ensuring the important content of each trial is not lost. Each EEG trial to be aggregated is converted into an input embedding, or a vector which numerically represents the data in the trial.

Preventing access to potentially hazardous environments

A method, computer system, and a computer program product for managing a plurality of electronic devices controlling access to one or more hazards in a physical environment. The present invention may include detecting a plurality of brain-wave patterns associated with a user. The present invention may then, in response to detecting motion of the user and the plurality of brain-wave patterns associated with the user matching a pattern, include operating at least one electronic device to disable access to a corresponding hazard. The present invention may further include operating the at least one electronic device to enable access to the corresponding hazard based on receiving input from the user to enable the at least one electronic device, wherein the input being received from the user is in response to prompting the user to correctly respond to a question previously answered by the user.

ATTENTION DETECTION METHOD AND SYSTEM

This application provides a user attention detection method and system. The method includes: collecting an electroencephalogram signal of a user from an ear side by using an ear-side wearing apparatus (); when it is determined that the ear-side wearing apparatus () can collect electroencephalogram signals from both a left ear canal and a right ear canal of the user, performing differential processing on the electroencephalogram signals from the left ear canal and the right ear canal of the user to obtain an electroencephalogram signal; and detecting an attention type of the user based on the electroencephalogram signal. According to the method and the system, the electroencephalogram signals of the user can be obtained from the ear canals more conveniently and quickly, and an attention status of the user can be detected anytime and anywhere. 1. A user attention detection method , wherein the method comprises:collecting a user bioelectrical signal from an ear side of a user by using an ear-side wearing apparatus;obtaining a user electroencephalogram signal from the user bioelectrical signal; and{'claim-text': 'when the ear-side wearing apparatus comprises a plurality of ear-side signal measurement units, determining whether an impedance between two of the plurality of ear-side signal measurement units is less than a preset threshold, collecting bioelectrical signals from the two ear-side signal measurement units when the impedance between the two ear-side signal measurement units is less than the preset threshold, and obtaining the user bioelectrical signal based on a potential difference signal corresponding to the bioelectrical signals collected by the two ear-side signal measurement units.', '#text': 'obtaining an attention type of the user based on the user electroencephalogram signal and a machine learning model, wherein the collecting a user bioelectrical signal from an ear side of a user by using an ear-side wearing apparatus comprises:'}2. The method ...

Systems and methods to gather and analyze electroencephalographic data

Example devices are disclosed herein that include a first elongated band coupled to a first housing to be located on a first side of a head of a subject and a second housing to be located near a second side of the head of the subject, the first elongated band comprising a first set of electrodes. The example device also includes a second elongated band coupled to the first housing and to the second housing, the second elongated band comprising a second set of electrodes. In addition, the device includes a third elongated band coupled to the first housing and to the second housing, the third elongated band comprising a third set of electrodes.

BIOMETRIC IDENTIFICATION USING ELECTROENCEPHALOGRAM (EEG) SIGNALS

Biometric identification using electroencephalogram (EEG) signals is provided. Embodiments are targeted for biometric applications, where an individual can be identified with a precision of over 99%, using sensed brain signals. In particular, a method is described which can extract unique biomarkers from EEG response signals to classify individuals, also referred to as simple visual reaction task-based EEG biometry (SVRTEB). A subject experiences a simple stimulus or task, and a multi-channel EEG response is recorded. Unique biomarkers are extracted from the recorded EEG response (e.g., as periodogram data points corresponding to different frequencies observed in the brain waves, which can be used to identify a person). A novel signal processing approach uses neural network-based architecture to analyze the EEG response and identify the subject. This signal processing architecture can be readily implemented on hardware and provides high accuracy, precision, and recall. 1. A method for identifying a human subject , the method comprising:obtaining electroencephalogram (EEG) data for a human subject which is responsive to a stimulus;extracting a plurality of feature points from the EEG data; andanalyzing the plurality of feature points to identify the human subject.2. The method of claim 1 , wherein the stimulus is one or more of a visual stimulus claim 1 , an audio stimulus claim 1 , or a sensory stimulus.3. The method of claim 1 , wherein the EEG data comprises motor control data of the human subject responsive to the stimulus.4. The method of claim 3 , further comprising providing the stimulus as a prompt to interact with a user interface.5. The method of claim 1 , wherein extracting the plurality of feature points from the EEG data comprises extracting a plurality of spectral feature points.6. The method of claim 5 , further comprising pre-processing the EEG data to remove motor control artifacts prior to extracting the plurality of spectral feature points.7. The ...

MOTOR IMAGERY ELECTROENCEPHALOGRAM SIGNAL PROCESSING METHOD, DEVICE, AND STORAGE MEDIUM

This disclosure discloses a method and apparatus for processing a motor MI-EEG signal and a storage medium. The method includes: inputting a source MI-EEG signal belonging to a source domain and a target MI-EEG signal belonging to a target domain to an initial feature extraction model to obtain first source MI features and first target MI features; inputting the first source MI features to an initial classification model to obtain a first classification result outputted by the initial classification model, the first classification result representing an action predicted to be performed in the source MI-EEG signal; and adjusting a model parameter of the initial feature extraction model and/or a model parameter of the initial classification model when a certain condition (set) is met. 1. A method for processing a motor imagery (MI) electroencephalogram (EEG) signal , performed by an electronic device , the method comprising:inputting a source MI-EEG signal belonging to a source domain and a target MI-EEG signal belonging to a target domain to an initial feature extraction model to obtain first source MI features representing the source MI-EEG signal and first target MI features representing the target MI-EEG signal;inputting the first source MI features to an initial classification model to obtain a first classification result outputted by the initial classification model, the first classification result representing an action predicted to be performed in the source MI-EEG signal; and a first known action corresponding to the source MI-EEG signal is inconsistent with the action predicted to be performed of the source MI-EEG signal, or', 'a similarity between a feature distribution of the first source MI features and a feature distribution of the first target MI features is less than a first predetermined threshold,, 'adjusting a model parameter of the initial feature extraction model and/or a model parameter of the initial classification model to obtain a target ...

SYSTEMS AND METHODS FOR NEUROMODULATION OF NEURONAL CIRCUITS USING TRANSCRANIAL FOCUSED MICROWAVE PULSES

Embodiments provide for systems and methods for modulating activity of a live neuronal circuit within the brain of a mammal. In one example, a method comprises applying a focused microwave pulse to a focal spot corresponding to the live neuronal circuit, while simultaneously monitoring a brain image produced by a brain imaging system. In this way, the focused microwave pulse may be used to transiently modulate the function of the live neuronal circuit, as guided by anatomical and functional information provided via the brain imaging system, useful for both research purposes and for treating psychiatric, neurological and neuroendocrine disorders. 1. A method for modulating activity of a live neuronal circuit within the brain of a mammal , the method comprising:generating a focused microwave pulse (FMWP);applying the FMWP to a focal spot corresponding to the live neuronal circuit, to activate or inhibit the live neuronal circuit; andmonitoring a brain image produced by a brain imaging system during the application of the FMWP.2. The method of claim 1 , wherein monitoring the brain image occurs in real-time.3. The method of claim 1 , wherein the brain imaging system is selected from the group consisting of a functional magnetic resonance image (fMRI) system claim 1 , a magnetoencephalograpy (MEG) system claim 1 , a positron emission tomography (PET) system claim 1 , a quantitative electroencephalography (qEEG) system claim 1 , and a functional near-infrared spectroscopy (NIRS) imaging system.4. The method of claim 1 , wherein applying the FMWP further comprises:applying a microwave input signal to a mode converter system;via the mode converter system, converting the microwave input signal into a microwave output signal;radiating the microwave output signal into free space; andfocusing the microwave output signal via a lens to apply the FMWP to the focal spot.5. The method of claim 4 , wherein converting the microwave input signal into the microwave output signal ...

Apparatus for automatically determining sleep disorder using deep running and operation method of the apparatus

Provided is an automatic determination apparatus using a deep learning, the automatic determination apparatus including a signal data processor configured to collect signal data detected through polysomnography, to extract feature data by analyzing a feature of the collected signal data, and to transform the extracted feature data to time series data; and a sleep stage classification model processor configured to input the processed signal data to a pre-generated sleep stage classification model, and to classify a sleep stage corresponding to the signal data. The sleep stage classification model processor is configured to classify the sleep stage based on at least one of an American Academy of Sleep Medicine (AASM) standard and a Rechtschaffen and Kales (R&K) standard using an epoch unit of time series data as the processed signal data.

SYSTEMS AND METHODS FOR MEASURING NEUROTOXICITY IN A SUBJECT

The present disclosure relates to a system and method capable of capturing, processing and analyzing electroencephalography (EEG) signals, including features, patterns or signatures with relevance to diagnosis, prognosis, risk stratification or other clinically relevant interpretation, by means of a low-profile head-mounted wireless recording device that may be rapidly applied to the individual being examined. The head-mounted recording device is comprised of an array of electrode elements that contact the subject's forehead, a docking site and an acquisition device that receives, processes, and transmits the EEG data. In one embodiment, the device simultaneously collects additional data, including but not limited to accelerometer data, heart rate, sound level, light level, temperature and/or pulse oximetry. Subsequently, the data is ingested into an analytics system which is capable of identifying features, signatures or patterns that have significance for diagnosis, prognosis, risk-stratification or other medically pertinent observations, estimates or predictions. 1. An electroencephalography (EEG) detection system comprising: a plurality of sensors arranged at different locations, with each sensor configured to capture electrical signals from a portion of a body of an examinee; and', 'a data acquisition apparatus configured to process electrical signals from the sensors and wirelessly transmit said electrical signals to a receiver device, the receiver device being configured with one or more processors to receive and process data transmitted by the acquisition device; and, 'a wearable head-mounted device, comprisingone or more computer storage media to store data generated by the head-mounted device.2. The EEG detection system of claim 1 , further comprising a display device configured to present virtual content to the examinee claim 1 , examiner or other operator.3. The EEG detection system of claim 1 , wherein said data acquisition apparatus continuously ...

SYSTEMS AND METHODS FOR SEIZURE DETECTION WITH A STATISTICAL ANALYSIS AND AN ARTIFICIAL INTELLIGENCE ANALYSIS

A seizure detection system including one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient. The one or more circuits are configured to identify candidate seizures with a statistical analysis that identifies the candidate seizures based on changes in non-linear features of the EEG signal, determine to switch from identifying the candidate seizures with the statistical analysis to an artificial intelligence model, and switch from identifying the candidate seizures with the statistical analysis to identifying the candidate seizures based on the artificial intelligence model with the EEG signal. 1. A seizure detection system comprising one or more circuits , wherein the one or more circuits are configured to:receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient;identify candidate seizures with a statistical analysis that identifies the candidate seizures based on changes in non-linear features of the EEG signal;determine to switch from identifying the candidate seizures with the statistical analysis to an artificial intelligence model; andswitch from identifying the candidate seizures with the statistical analysis to identifying the candidate seizures based on the artificial intelligence model with the EEG signal.2. The seizure detection system of claim 1 , wherein the one or more circuits are configured to:determine a first performance level of the statistical analysis; anddetermine a second performance level of the artificial intelligence model;wherein the one or more circuits are configured to determine to switch from identifying the candidate seizures with the statistical analysis to the artificial intelligence model in response to determining that the second performance level is greater than the first performance level.3. The seizure detection system of claim 1 , wherein the one or more circuits are configured to determine to switch ...

Method, apparatus and computer readable recording medium for providing user-customized geographic information and analysis information using universal map

Disclosed is a method for providing geographic information and analysis information for each user using a universal map, which includes: a map information receiving step of requesting authentication to a universal map server storing map information including one of a map image and guide information by transmitting user authentication information except socially disadvantaged type information, to receive map information from the universal map server; a guide information extraction step of extracting guide information, as guide information for providing the geographic information on the map image to the user terminal from the received map information, corresponding to the socially disadvantaged type information of the user among the user account information from a data model database; and a geographic information providing step of providing geographic information customized according to the user, by outputting geographic information reflecting attribute information of spatial objects to the user terminal based on the extracted guide information. 1. A method implemented in a user terminal including at least one processor and at least one memory for storing instructions executable by the processor to provide geographic information and analysis information for each user using a universal map , the method comprising:a map information receiving step of requesting authentication to a universal map server storing map information including at least one of a map image and guide information for each socially disadvantaged type by transmitting user authentication information except for socially disadvantaged type information of a user among user account information requesting the authentication, so as to receive map information from the universal map server when the authentication is completed;a guide information extraction step of extracting guide information, as guide information for providing the geographic information on the map image to the user terminal from the received ...

Mobile user borne brain activity data and surrounding environment data correlation system

A mobile user borne brain activity data and surrounding environment data correlation system comprising a brain activity sensing subsystem, a recording subsystem, a measurement computer subsystem, a user sensing subsystem, a surrounding environment sensing subsystem, a correlation subsystem, a user portable electronic device, a non-transitory computer readable medium, and a computer processing device. The mobile user borne system collects and records brain activity data and surrounding environment data and statistically correlates and processes the data for communicating the data into a recipient biological, mechanical, or bio-mechanical system.

METHODS FOR RECORDING SUBGALEAL BRAIN SIGNALS

The invention encompasses systems and methods allowing for minimally invasive insertion and functional optimization of implantable electrode arrays designed for placement within the subgaleal space to record brain electrical activity. The implantable arrays comprise a support structure capable of being implanted in the subgaleal space and comprising at least one reference element; at least one ground element; and one or more recording elements; and wherein said array is capable of detecting and/or transmitting a subgaleal electrical signal. 114-. (canceled)15. A method of detecting and/or transmitting subgaleal electrical signals , the method comprising the steps of:identifying an entry point on a head of a patient, for insertion of an array of linearly arranged electrodes;inserting a needle through a skin layer at the entry point to a subgaleal space; andtunneling the needle through the subgaleal space to insert the array into the subgaleal space;wherein the array detects the subgaleal electrical signals and transmits the subgaleal electrical signals to a processor.16. The method of claim 15 , the tunneling the needle through the subgaleal space includes:tunneling approximately along a parasagittal anterior-posterior line overlying a first brain hemisphere of the patient.17. The method of claim 16 , wherein the parasagittal anterior-posterior line is a midpupillary line.18. The method of claim 17 , wherein the array is a first array claim 17 , and the method further comprises:identifying a second entry point on the head, for insertion of a second array of the linearly arranged electrodes;inserting the needle or a second needle through the skin layer at the second entry point to the subgaleal space; andtunneling the needle or the second needle through the subgaleal space to insert the second array approximately along a second parasagittal anterior-posterior line, the midpupillary line overlying a second brain hemisphere of the patient.19. The method of claim 15 , ...

Wearable Extended Reality-Based Neuroscience Analysis Systems

An illustrative system may include an extended reality system and a brain interface system configured to be concurrently worn by a user. The extended reality system may be configured to provide the user with an extended reality experience (e.g., an immersive virtual reality experience or a non-immersive augmented reality experience). The brain interface system may be configured to acquire one or more brain activity measurements while the extended reality experience is being provided to the user. 1. A system comprising: be worn by a user, and', 'provide the user with an extended reality experience; and, 'an extended reality system configured to be worn by the user concurrently with the extended reality system, and', 'acquire one or more brain activity measurements while the extended reality experience is being provided to the user., 'a brain interface system configured to2. The system of claim 1 , further comprising a remote neuroscience analysis management system communicatively coupled to one or more of the brain interface system or the extended reality system and configured to:transmit experiment data to one or more of the brain interface system or the extended reality system, the experiment data representative of a neuroscience experiment to be performed on the user using the brain interface system and the extended reality system; andreceive results data from one or more of the brain interface system or the extended reality system, the results data representative of one or more results of the neuroscience experiment.3. The system of claim 1 , further comprising a processing system configured to control a parameter of the extended reality experience based on the one or more brain activity measurements.4. The system of claim 1 , wherein the extended reality experience comprises an immersive virtual reality experience.5. The system of claim 1 , wherein the extended reality experience comprises a non-immersive augmented reality experience.6. The system of claim 1 , ...

Evaluation method, evaluation device, program, and recording medium

An information acquiring method to acquire brain activity information from biological subjects presented a sensory stimulus, including the following processes, (1) a process to present the sensory stimulus to at least one brain area of the biological subjects including the visual cortices of the cerebral cortex, the auditory cortices of the cerebral cortex, and the vestibular cortices of the cerebral cortex, (2) a process to measure brain activity in multiple, different regions of the brain areas while the sensory stimulus is presented, and (3) a process to evaluate stress provided to the subject by the sensory stimulus based on the brain activity data for the multiple regions.

Use of a new stimulation design to treat neurological disorder

The method and system described herein relate to stimulating nerve tissue using a pulse generator. A stimulus is created that comprises a signal that is produced from a frequency spectrum having a power spectral density per unit of bandwidth proportional to 1/f β , wherein β is excludes 0. The stimulus is provided from the pulse generator to at least one stimulation lead; and applied to nerve tissue via one or several electrodes.

METHOD AND APPARATUS FOR DETERMINING QUALITY GRADE OF VIDEO DATA

The disclosure provides a method and an apparatus for determining a quality grade of video data, and relates to the field of data processing technologies, wherein the method includes: acquiring a plurality of initial EEG data; based on the plurality of initial EEG data, determining an initial EEG data set, wherein the initial EEG data set includes a first sub-data set and a second sub-data set, the first sub-data set is a data set built on the basis of emotional response electroencephalogram data, and the second sub-data set is a data set built on the basis of electroencephalogram emotion data; processing the first sub-data set and the second sub-data set by using a transfer learning algorithm to obtain a third sub-data set and a fourth sub-data set; and based on the third sub-data set and the fourth sub-data set, determining a quality evaluation grade of video data with degraded quality. 1. A method for determining a quality grade of video data , comprising:acquiring a plurality of initial electroencephalogram (EEG) data, wherein the initial EEG data comprises: electroencephalogram emotion data generated by a target object watching video data with degraded quality, and emotional response electroencephalogram data generated by the target object watching an emotional picture or an emotional video;determining an initial EEG data set based on the plurality of initial EEG data, wherein the initial EEG data set comprises a first sub-data set and a second sub-data set, the first sub-data set comprises a data set built on a basis of the emotional response electroencephalogram data, and the second sub-data set comprises a data set built on a basis of the electroencephalogram emotion data;processing the first sub-data set and the second sub-data set by using a transfer learning algorithm to obtain a third sub-data set and a fourth sub-data set; anddetermining a quality evaluation grade of the video data with the degraded quality based on the third sub-data set and the fourth ...

METHODS AND SYSTEMS FOR FORECASTING EPILEPTIC EVENTS

A method comprises determining historical data associated with a subject experiencing epileptic events over a first time period, the historical data comprising non-EEG physiological data recorded over the first time period, and a time at which epileptic events occurred during the first time period. The method further comprises extracting from the non-EEG physiological data, one or more temporal models indicative of a subject specific cycle; and generating one or more temporal probabilistic models based on the respective one or more temporal models, the non-EEG physiological data, and the times at which each epileptic event occurred, wherein each temporal probabilistic model is representative of a probability of future seizure activity in each of a plurality of time windows. The method further comprises providing the one or more temporal probabilistic models for determining an estimate of seizure probability in the subject for one or more of the plurality of time windows. 2. The method of claim 1 , further comprising determining the estimate of seizure probability in the subject for one or more of the plurality of time windows using the one or more temporal probabilistic models.3. The method of claim 2 , further comprising outputting an alert based on the estimate of seizure probability in the subject for one or more of the plurality of time windows.4. The method of claim 3 , wherein the alert comprises one or more of:(i) the estimate of seizure probability in the subject for one or more of the plurality of time windows;(ii) a seizure occurrence risk rating;(iii) information concerning a cause of risk elevation;(iv) a recommendation to take or modify change medication or therapy; and(v) a recommendation to alter one or more parameters of a therapeutic device for delivering stimulation to the subject.5. The method of claim 2 , comprising scheduling administration of medication based on the estimate of seizure probability in the subject.6. The method of claim 1 , ...

Customization of help information based on eeg data

A method is implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

Method and system for determining a driving intention of a user in a vehicle using eeg signals

A method for determining a driving intention of a user in a vehicle using electroencephalography (EEG) signals, comprising: acquiring ( 100 ) a plurality of EEG signals on a user in the vehicle, determining ( 101, . . . , 104 ) a plurality of features of the EEG signals, for each feature of the EEG signals, performing ( 111, . . . , 114′ ) a respective preliminary soft classification process, so as to obtain a plurality of preliminary soft predictions of driving intention each based on a feature of the EEG signals, performing ( 120 ) a soft classification process based on the plurality of preliminary soft predictions so as to obtain the driving intention of the user.

METHOD FOR IDENTIFICATION OF PATHOLOGICAL BRAIN ACTIVITY FROM SCALP ELECTROENCEPHALOGRAM

A computer-implemented method for detecting pathological brain activity patterns from a scalp electroencephalographic signal, the method including the steps of obtaining (A) an electroencephalographic signal as a function of multiple channels and time; identifying (C), for each channel, the zero-crossings of the electroencephalographic signal over a fixed threshold; generating a zero-crossing representation of at least a segment of the obtained electroencephalographic signal with the identified zero-crossings; obtaining (D) a reference family of real functions of time and channels from a zero-crossing statistical analysis of zero-crossing representation of pre-recorded electroencephalographic signals; calculating (E) a matching score by comparing the zero-crossing representation of a segment of the electroencephalographic signal with at least one reference function from the reference family of functions; and computing the matching score as a function of time by sliding the at least one reference function from the reference family of functions over the electroencephalographic signal. 118-. (canceled)19. A computer-implemented method for detecting brain activity patterns from a scalp electroencephalographic signal , the method comprising the steps of:a) obtaining an electroencephalographic signal as a function of multiple channels and time;b) identifying, for each channel, the zero-crossings of the electroencephalographic signal over a fixed threshold;c) generating a zero-crossing representation of at least a segment of the obtained electroencephalographic signal with the identified zero-crossings;d) obtaining a reference family of real functions of time and channels from a zero-crossing statistical analysis of zero-crossing representation of pre-recorded electroencephalographic signals;e) calculating a matching score by comparing said zero-crossing representation of a segment of the electroencephalographic signal with at least one reference function from the ...

Cooking robot, cooking robot control device, and control method

There is provided a cooking robot, a cooking robot control device, and a control method that enable a cooking robot to customize a dish prepared according to a preference of an eater. The cooking robot (1) according to one aspect of the present technology controls a cooking operation performed by a cooking arm (321), using recipe data including a data set in which cooking operation data and cook biological data are linked, the cooking operation data describing information regarding an ingredient of a dish and information regarding an operation of a cook in a cooking process using the ingredient, and the cook biological data indicating a biological reaction of the cook measured in conjunction with a progress of the cooking process. The present technology can be applied to a cooking robot that operates an arm to cook.

APPARATUS AND METHOD FOR EXTRACTING FEATURE OF BIO-SIGNAL, AND APPARATUS FOR DETECTING BIO-INFORMATION

An apparatus configured to extract a feature from a bio-signal is disclosed. The apparatus includes a bio-signal acquirer configured to acquire the bio-signal, and a processor configured to analyze concavity and convexity of a waveform of the bio-signal in intervals of the bio-signal, and extract the feature from the bio-signal based on the analyzed concavity and the analyzed convexity. 1. (canceled)2. (canceled)3. An apparatus for detecting bio-information of a user , the apparatus comprising:a sensor configured to irradiate the user with light, detect the light scattered or reflected by the user, and measure a photoplethysmography (PPG) signal; and derive a secondary differential signal of the PPG signal;', 'calculate a difference between a local maximum value and a local minimum value in an interval of the secondary differential signal as a convex to concave difference (CCD) value;', 'extract a characteristic point from the PPG signal based on the CCD value;', 'extract a feature from the PPG signal based on the characteristic point; and', 'detect the bio-information of the user based on the feature,, 'a processor configured towherein the characteristic point comprises at least one of time information of the local minimum value, and amplitude information of the PPG signal corresponding to the time information.4. The apparatus according to claim 3 , wherein the processor is further configured to:segment the interval of the secondary differential signal into sub-intervals.5. The apparatus according to claim 4 , wherein the processor is further configured to:segment a portion of the secondary differential signal from a local maximum point of the secondary differential signal to a subsequent local minimum point as one of the sub-intervals.6. The apparatus according to claim 4 , wherein the processor is further configured to:merge the sub-intervals based on a difference between a local minimum value and a subsequent local maximum value in the interval of the secondary ...

SYSTEM FOR USE IN IMPROVING COGNITIVE FUNCTION

A system comprising an EEG headcap, personal computer and cloud sewer system is configured to deliver a customised programme of activities to a user, based on an analysis of the EEG output from the user. The system is indicated in the treatment of mild cognitive disorder and early-stage dementia. 128-. (canceled)29. A system for monitoring cognitive function in a user , said system comprising:an EEG headset comprising electrodes positioned in areas corresponding to a user's brain lobes, a recorder, and a transmitter;a personal computer configured with interactive activities; anda cloud server system comprising a private cloud platform;characterised in that:the private cloud platform comprises an area in which photographs and images personal to the user may be uploaded;the private cloud platform is configured with reference EEG profiles of healthy individuals; andthe private cloud platform is configured with algorithms for(i) analysing EEG output of the user engaged with a specific interactive activity; and(ii) instructing the personal computer in the presentation of specific interactive activities to the user.30. The system as claimed in claim 29 , wherein said EEG profiles of healthy individuals are activity-specific claim 29 , i.e. claim 29 , the private cloud platform is configured with an EEG profile of healthy individuals for each of said specific interactive activities.31. The system as claimed in claim 29 , wherein the personal computer is a tablet device.32. The system as claimed in claim 29 , wherein each individual activity has a series of activity levels.33. The system as claimed in claim 29 , wherein the EEG output includes identification of brain area(s) activated with a particular activity and identification of the brain wave(s) activated with a particular activity.34. The system as claimed in claim 29 , wherein the algorithm for analysing EEG output of the user engaged with a specific interactive activity includes processes for the comparison of ...

METHOD AND DEVICE FOR DETECTING DRIVER DISTRACTION

The present application is applicable to the field of computer application technology, and provides methods and devices for detecting driver distraction, including: acquiring the EEG data of the driver; preprocessing the EEG data, and then inputting it into a pre-trained distraction detection model to obtain the distraction detection result of the driver; obtaining the distracted detection model by training a preset convolution-recurrent neural network using EEG sample data and corresponding distracted result label; sending the distraction detection result to an in-vehicle terminal associated with the identity information of the driver, wherein the distraction detection result is used to trigger the in-vehicle terminal to generate driving reminder information according to the distraction detection result. When detecting driver distraction, the accuracy and efficiency are improved, thereby reducing the probability of traffic accidents. 1. A method for detecting driver distraction , comprising:acquiring electroencephalogram (EEG) data of a driver;preprocessing the EEG data, and inputting the EEG data into a distraction detection model that is pre-trained to obtain a distraction detection result of the driver, wherein the distracted detection model is obtained by training a preset recurrent neural network using EEG sample data and corresponding distraction result labels; andsending the distraction detection result to an in-vehicle terminal associated with identity information of the driver, wherein the distraction detection result is configured for triggering the in-vehicle terminal to generate driving reminder information according to the distraction detection result.2. The method for detecting driver distraction according to claim 1 , characterized in that claim 1 , before said inputting the EEG data into a distraction detection model that is pre-trained to obtain a distraction detection result of the driver claim 1 , the method further comprises:acquiring the EEG ...

BRAIN-BASED SYSTEM AND METHODS FOR EVALUATING TREATMENT EFFICACY TESTING WITH OBJECTIVE SIGNAL DETECTION AND EVALUATION FOR INDIVIDUAL, GROUP OR NORMATIVE ANALYSIS

Systems and methods for the evaluation of clinical treatment efficacy is disclosed. The systems and methods include protocols for selection of appropriate patients/subjects for the evaluation of a specific clinical treatment. The systems and methods are based on objective measures of brain activity. The clinical treatments include pharmacological compounds in development or existing compounds approved by the appropriate regulatory authority (e.g., U.S. Federal Drug Administration), as well as transcranial magnetic or electric stimulation, including non-invasive approaches as well as grid- or depth-based electrode arrays, as well as behavioral therapies. 1. A system for implementing a substitution analysis comprising:a set of patient electrodes;an EEG device, including a first memory, operatively connected to the set of patient electrodes;a signal processing computer, including a second memory, operatively connected to the EEG device; identify a set of signal test samples;', 'divide the set of signal test samples into a pre-treatment group and a post-treatment group;', 'point-for-point average the pre-treatment group to derive a pre-treatment average;', 'point-for-point average the post-treatment group to derive a post-treatment average;', 'subtract the pre-treatment average from the post-treatment average to derive an obtained difference;', 'implement a substitution analysis on the pre-treatment group and the post-treatment group to derive an average substituted obtained difference;', 'determine a percent change between the average substituted obtained difference and the obtained difference; and,', 'report the percent change., 'a set of instructions, resident in the first memory and the second memory, that when executed cause the system to2. The system of wherein the set of instructions further comprises instructions that when executed cause the system to:identify a largest 10% of the set of signal test samples;identify a smallest 5% of the set of signal test ...

Real-time evaluation method and evaluation system for group emotion homogeneity

The present invention discloses a real-time evaluation method and evaluation system for group emotion homogeneity. The method comprises the steps as follows: enabling testees to be in the same emotion induction environment, and collecting the original electroencephalograph (EEG) signals of multiple persons at the same time through online multichannel EEG equipment; and based on the average instantaneous phase per second of the beta frequency band and the energy value per second of the alpha frequency band obtained after wavelet transformation, calculating the time synchronization degree and the valence consistency degree in real time, and finally obtaining a group emotion homogeneity index for the objective evaluation of group emotion homogeneity.

System and method for tracking brain states during administration of anesthesia

A method and system for determining the state of a patients brain under anesthesia. The present invention recognizes that anesthesia compounds induce different signatures in physiological characteristics of the patient under anesthesia and aids interpretation of physiological characteristics and signatures therein based on a selected anesthesia compound. The present invention aids the monitoring and/or interpreting of the physiological characteristics to a state of the patient's brain.

Signal separating apparatus, signal separating method, and non-transitory recording medium

A signal separating apparatus includes circuitry to separate a signal of interest and other signal other than the signal of interest from each other in accordance with spatial information on a plurality of sensors installed at locations different from each other. The circuitry sets a parameter based on a spread of a subspace of the signal of interest, determines a degree of separation that serves as an index indicative of whether the set parameter is appropriate, and separates the signal of interest and the other signal from each other using the degree of separation.

ELECTRODE CONFIGURATION TO RECORD EAR ELECTROENCEPHALOGRAM (EEG) DURING SLEEP AND WAKEFULNESS

An apparatus used in a method for generating an ear electroencephalogram (EEG) signal from an ear of a patient includes: a housing; a first electrode provided on a first portion of the housing received within an ear canal of the ear, such that the first electrode is disposed against a first surface of the ear canal to generate a first ear canal signal; a second electrode provided on a second portion of the housing structured to be received within a concha of the ear when the first portion is received within the ear canal, such that the second electrode is disposed against a surface of concha to generate a concha signal; and electronic circuitry provided within the housing, the electronic circuitry being structured and configured to generate a first in ear signal after receiving the first ear canal signal and the concha signal. 1. An apparatus for generating an ear electroencephalogram (EEG) signal from an ear of a patient , comprising:a housing;a first electrode provided on a first portion of the housing, wherein the first portion is structured to be received within an ear canal of the ear, and wherein the first electrode is structured to be disposed against a first surface of the ear canal when the first portion is received within the ear canal for generating a first ear canal signal;a second electrode provided on a second portion of the housing, wherein the second portion is structured to be received within a concha of the ear when the first portion is received within the ear canal, and wherein the second electrode is structured to be disposed against a surface of concha when the second portion is received within the concha for generating a concha signal; andelectronic circuitry provided within the housing, the electronic circuitry being structured and configured to receive the first ear canal signal and the concha signal and to generate a first in ear signal based on the first ear canal signal and the concha signal.2. The apparatus according to claim 1 , wherein ...

EFFICACY AND/OR THERAPEUTIC PARAMETER RECOMMENDATION USING INDIVIDUAL PATIENT DATA AND THERAPEUTIC BRAIN NETWORK MAPS

Examples described herein may predict therapy efficacy and/or therapeutic parameters using a comparison of individual patient status data and brain network response maps for the therapy. For example, VNS parameters may be predicted using a comparison of patient EEG data and brain network response maps of VNS therapy at various parameters. 1. A method comprising:obtaining individual patient data of a neural status of a patient;obtaining a therapeutic brain network response map of a treatment; andpredicting an efficacy of the treatment for the patient based on a comparison of the data of the neural status and the brain network response map.2. The method of claim 1 , wherein predicting the efficacy of the treatment comprisesproviding the individual patient data and the therapeutic brain network response map as inputs to a statistical prediction model for the treatment; andpredicting the efficacy of the treatment using the statistical prediction model.3. The method of claim 2 , wherein the statistical prediction model comprises feature extraction techniques configured to extract features from the individual patient data regarding neural status and the brain network response map.4. The method of claim 3 , wherein the features comprise an overlap area between the individual patient data and the brain network response map.5. The method of claim 2 , wherein the statistical prediction model comprises:convolution kernels configured to extract features from the individual patient data of the neural status and the therapeutic brain network response map.6. The method of claim 5 , wherein values in the convolution kernels are learned during a training of the statistical prediction model for the treatment.7. The method of claim 5 , further comprising repeatedly multiplying each convolution kernel with the individual patient data and the therapeutic brain network response map claim 5 , and storing results as pixels in a plurality of feature maps.8. The method of claim 7 , wherein ...

SYSTEMS AND METHODS FOR OPTIMIZING THE BEDSIDE INSERTION AND RECODING FUCTION OF SUBGALEAL ELECTRODE ARRAYA FOR SHOR-TEAM HEMISPHERIC BRAIN MONITORING

The invention encompasses systems and methods allowing for minimally invasive insertion and functional optimization of implantable electrode arrays designed for placement within the subgaleal space to record brain electrical activity. The implantable arrays comprise a support structure capable of being implanted in the subgaleal space and comprising at least one reference element; at least one ground element; and one or more recording elements; and wherein said array is capable of detecting and/or transmitting a subgaleal electrical signal. 114-. (canceled)15. A method for measuring brain activity , the method comprising:receiving one or more signals from a first set of electrodes of a first array, wherein the first array is placed in a patient and over a first brain hemisphere;identifying, based on the received one or more signals from the first set of electrodes, an electrode of the first set of electrodes with an undesirable signal quality;responsive to the identifying, excluding a first channel corresponding to the electrode with the undesirable signal quality; andexcluding a second channel corresponding to an electrode of a second array that is symmetrically placed relative to the electrode with the undesirable signal quality, wherein the second array is placed in the patient and over a second brain hemisphere.16. The method of claim 15 , wherein the first set of electrodes are arranged on a support structure implanted in a subgaleal space.17. The method of claim 16 , wherein the first set of electrodes are linearly arranged on the support structure.18. The method of claim 16 , wherein a first portion of the support structure includes a plurality of recording electrodes of the first set of electrodes claim 16 , and a second portion of the first support structure includes a reference electrode and a ground electrode of the first set of electrodes.19. The method of claim 18 , wherein no recording electrodes are located between the second portion and a first end ...

Efficacy and/or therapeutic parameter recommendation using individual patient data and therapeutic brain network maps

Examples described herein may predict therapy efficacy and/or therapeutic parameters using a comparison of individual patient status data and brain network response maps for the therapy. For example, VNS parameters may be predicted using a comparison of patient EEG data and brain network response maps of VNS therapy at various parameters.

Systems and methods to gather and analyze electroencephalographic data

Example methods are disclosed herein that include obtaining electroencephalographic (EEG) data from a subject via a device comprising two or more independently adjustable bands, each of the bands having a plurality of electrodes to detect the electroencephalographic data from a brain of the subject, each band selectively rotatable relative to an adjacent band and each band selectively compressible to increase a force of the electrodes against a head of the subject. The example method also includes converting the EEG data into digital EEG signals and conditioning the digital EEG signals. In addition, the example method includes analyzing the digital EEG signals using one or more analysis protocols to determine a mental characteristic of the subject and transmitting the mental characteristic to an output device.

Method of Contextual Speech Decoding from the Brain

Provided are methods of contextual decoding and/or speech decoding from the brain of a subject. The methods include decoding neural or optical signals from the cortical region of an individual, extracting context-related features and/or speech-related features from the neural or optical signals, and decoding the context-related features and/or speech-related features from the neural or optical signals. Contextual decoding and speech decoding systems and devices for practicing the subject methods are also provided.

KINETIC INTELLIGENT WIRELESS IMPLANT/NEURONS ON AUGMENTED HUMAN

Embodiments may provide the capability to provide Transcranial Photobiomodulation (tPBM), Transcranial Direct Current Stimulation (tDCS), and Transcranial Alternating Current Stimulation (tACS) with dynamic closed loop feedback, such as may be provided by an Electro Encephalogram (EEG), as well as local and network-based processing to analyze and generate such signals. For example, in an embodiment, a device may comprise apparatus configured to apply Transcranial Photobiomodulation (tPBM) to a person, apparatus configured to apply Transcranial Direct Current Stimulation (tDCS) to the person, apparatus configured to obtain Electro Encephalogram (EEG) signals from the person, and apparatus configured to perform dynamic closed loop feedback of the tPBM and the tDCS based on the obtained EEG signals. 1. A device comprising:apparatus configured to apply Transcranial Photobiomodulation (tPBM) to a person;apparatus configured to apply Transcranial Direct Current Stimulation (tDCS) to the person;apparatus configured to obtain Electro Encephalogram (EEG) signals from the person; andapparatus configured to perform dynamic closed loop feedback of the tPBM and the tDCS based on the obtained EEG signals.2. The device of claim 1 , wherein the apparatus configured to apply tPBM comprises:at least one LED configured to be mounted in a nostril of the person;a plurality of LEDs configured to be mounted on a head of the person; andcircuitry configured to control an on/off state of the LEDs and an intensity of the LEDs.3. The device of claim 2 , wherein the circuitry configured to control an on/off state of the LEDs and an intensity of the LEDs is further configured to control the on/off state of the LEDs in a range of 10-40 Hz and to control the intensity of the LEDs configured to be mounted on a head of the person in a range of 75 mW/cmto 150 mW/cm.4. The device of claim 3 , wherein the circuitry configured to control an on/off state of the LEDs and an intensity of the LEDs is ...

Monitoring Earphone Intended for Autism Spectrum Disorder

The application belongs to the field of earphone technology, and discloses a type of monitoring earphones intended for autism spectrum disorder. The upper part of headband is fixed with an electroencephalogram signal sensor, and the two sides thereof are respectively secured with No. 1 buckle and No. 2 buckle, which are used to fix No. 1 No. 1 signal processor and No. 2 signal processor on the upper part of the headband. Once the user is found by the application to be not himself/herself, the earphone will play his/her favorite music with Bluetooth, serving the function of music therapy.

SYSTEMS AND METHODS FOR OPTIMIZING THE BEDSIDE INSERTION AND RECORDING FUNCTION OF SUBGALEAL ELECTRODE ARRAYS FOR SHORT-TERM HEMISPHERIC BRAIN MONITORING

The invention encompasses systems and methods allowing for minimally invasive insertion and functional optimization of implantable electrode arrays designed for placement within the subgaleal space to record brain electrical activity. The implantable arrays comprise a support structure capable of being implanted in the subgaleal space and comprising at least one reference element; at least one ground element; and one or more recording elements; and wherein said array is capable of detecting and/or transmitting a subgaleal electrical signal. 1. An implantable subgaleal electrode array comprising a support structure capable of being implanted in the subgaleal space and comprising at least two elements , at least one of which is a recording element , which in combination with at least one reference element and at least one ground element , is capable of detecting and/or transmitting a subgaleal electrical signal.2. The electrode array of wherein the at least two elements of the array includes a ground element.3. The electrode array of wherein the at least two elements or the array includes a reference element.5. The electrode array of claim 3 , wherein:(a) the recording elements are arranged linearly along the support structure;(b) the recording elements are arranged circumferentially to the support structure;(c) the reference and the ground elements are located at the most distal contact from an array exit point;(d) the reference and/or the ground element is located proximal to an array exit point;(e) the reference and/or the ground element is distributed along the array;(f) the reference and the ground elements are located on contralateral arrays or collocated on the same array;(g) the reference element comprises the ground element; or(h) any combination of (a)-(g).6. The electrode array of claim 4 , wherein the support structure is:(a) cylindrical in shape;(b) made of flexible material; and/or(c) curved in shape with a pointed tip; and(d) any combination of (a)-(c). ...

PROVIDING A PARAMETER WHICH INDICATES A LOSS OF CONSCIOUSNESS OF A PATIENT UNDER ANESTHESIA

The invention relates to a method and a device for providing a parameter which indicates a loss of consciousness of a patient under anesthesia. The method has the steps of: detecting (301) at least one EEG signal on the head of the patient; continuously determining (302) the spectral cut-off frequency in a current timeframe of the EEG signal; determining (303) the curve of the spectral cut-off frequency of the EEG signal in a period of time which begins before an anesthesia-inducing medication is administered and ends after the anesthesia-induced loss of consciousness is initiated; determining (304) the absolute minimum of the spectral cut-off frequency in the period of time, wherein a negative peak of the spectral cut-off frequency lies in the absolute minimum, and providing (305) information regarding at which point in time the absolute minimum was reached as a parameter for an indicative notification of the loss of consciousness of the patient. 1. A method for providing a parameter , which indicates a loss of consciousness in a patient under anesthetic , wherein the method comprises the steps of:recording at least one EEG signal on the patient's head,continuously determining the spectral cutoff frequency in a current timeframe of the EEG signal, wherein the spectral cutoff frequency indicates the frequency at which 95% of the overall power is included in the power spectrum,determining the response of the spectral cutoff frequency of the EEG signal in a period of time that begins before an anesthesia-inducing medicine is administered and after the occurrence of the anesthesia-induced loss of consciousness ends,determining the absolute minimum of the spectral cutoff frequency in the period of time, wherein a negative peak in the spectral cutoff frequency is present in the absolute minimum, andproviding information relating to the point in time at which the absolute minimum has been reached as a parameter for the indicative indication of a loss of consciousness in ...

SYSTEMS AND METHODS FOR DETECTING STROKES

A system for detecting strokes includes a sensor device configured to obtain physiological data from a patient, for example brain activity data. The sensor device can include electrodes configured to be disposed at the back of the patient's neck or base of the skull. The electrodes can detect electrical signals corresponding to brain activity in the P3, Pz, and/or P4 brain regions or other brain regions. A computing device communicatively coupled to the sensor device is configured to receive the physiological data and analyze it to indicate whether the patient has suffered a stroke. 1. A stroke detection system comprising:a sensor device configured to obtain physiological data from a patient, wherein the sensor device comprises a plurality of electrodes and is configured to be disposed above shoulders of the patient, and the physiological data comprises electrical brain activity data and electrical heart activity data of the patient sensed via the plurality of electrodes; and analyze the physiological data; and', 'based on the analysis, provide a patient stroke indicator., 'processing circuitry configured to2. The system of claim 1 , wherein the sensor device is configured to detect brain activity data corresponding to activity in at least one of the P3 claim 1 , Pz claim 1 , and P4 brain regions via the plurality of electrodes.3. The system of claim 1 , wherein the sensor device is configured to be disposed at or adjacent a rear portion of a neck or skull base of the patient.4. The system of claim 1 , wherein the sensor device comprises a housing configured to be implanted within the patient.5. The system of claim 4 , wherein the housing is configured to be implanted subcutaneously.6. The system of claim 1 , wherein the sensor device comprises a housing configured to be disposed over skin of the patient.7. The system of claim 6 , wherein the sensor device comprises one of a patch configured to be adhered to the patient or a garment configured to be worn by the ...

METHOD, APPARATUS, SYSTEM AND COMPUTER PROGRAM FOR PROCESSING AN ALMOST-PERIODIC INPUT SIGNAL

Examples relate to a method, an apparatus and a computer program for processing an almost-periodic input signal comprising a plurality of signal portions of varying duration, and to a system comprising such an apparatus and a visual output device. The plurality of signal portions are characterized by a common signal shape. The method comprises assigning the plurality of signal portions to a plurality of sets of signal portions. Each set of signal portions comprises two or more signal portions. The method comprises adjusting a duration of at least a subset of the signal portions such that the signal portions of a set have the same duration. The method comprises superimposing the two or more signal portions of a set within a combined output signal. 1. A method for processing an almost-periodic input signal comprising a plurality of signal portions of varying duration , the plurality of signal portions being characterized by a common signal shape , the method comprising:assigning the plurality of signal portions to a plurality of sets of signal portions, each set of signal portions comprising two or more signal portions;adjusting a duration of at least a subset of the signal portions such that the signal portions of a set have the same duration; andsuperimposing the two or more signal portions of a set within a combined output signal.2. The method according to claim 1 , wherein the signal portions of a set occur sequentially within the input signal.3. The method according to claim 1 , wherein the adjusted duration of the signal portions is the same for the plurality of signal portions.4. The method according to claim 1 , wherein the sets of signal portions comprise at least a first set and a second set claim 1 , the signal portions of the first set having an adjusted duration being different from an adjusted duration of the signal portions of the second set.5. The method according to claim 1 , wherein the adjusted duration of the signal portions of a set is based on an ...

Methods, apparatuses and systems for transcranial stimulation

The present invention provides methods, devices and systems for transcranial stimulation.

STRESS DISORDER TRAINING

A method for training a subject diagnosed with a stress disorder caused by a trauma, including: selecting a challenge expected to trigger a symptom of the stress disorder in the subject; exposing the subject to the challenge; recording electrical signals generated by the brain of the subject by at least one electrode, in conjunction with the exposing; processing the recorded electrical signals to estimate an activation level of at least one specific brain region; presenting at least one indication of the estimated activation level to the subject; repeating the recording, the processing and the presenting. 1. A method for training a subject diagnosed with a stress disorder caused by a trauma , comprising:selecting a challenge expected to trigger a symptom of said stress disorder in said subject;exposing said subject to said challenge;recording electrical signals generated by the brain of said subject by at least one electrode, in conjunction with said exposing;processing said recorded electrical signals to estimate an activation level of at least one specific brain region;presenting at least one indication of said estimated activation level to said subject, wherein said presenting comprises providing feedback to said subject by modifying said challenge according to said activation level of said at least one specific brain region;repeating said recording, said processing and said presenting.2. A method according to claim 1 , wherein said exposing to said challenge affects an activation level of said at least one specific brain region.3. A method according to claim 1 , comprising:identifying a relation between at least a portion of said recorded electrical signals and an electrical fingerprint indicating an activation level of said at least one brain region, and wherein said generating comprises generating said at least one indication based on said identified relation.4. A method according to claim 1 , wherein said at least one specific brain region is a brain region ...

METHOD FOR DETECTING AND LOCALIZING BRAIN SILENCES USING EEG

A novel method for using the widely-used electroencephalography (EEG) systems to detect and localize silences in the brain is disclosed. The method detects the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. This method can also be used for reduced activity localization, activity level mapping throughout the brain, as well as mapping activity levels in different frequency bands. By accounting for the contributions of different sources to the power of the recorded signals, and using a hemispheric baseline approach and a convex spectral clustering framework, the method permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data. 1. A method for localizing regions of silence in a brain comprising:localizing one or more contiguous regions of silence in a low-resolution grid of uncorrelated sources in the brain; andusing the one or more localized contiguous regions of silence in the low-resolution grid as an initial estimate of the location of the silence in a high-resolution grid of the sources in the brain; anditeratively localizing the one or more regions of silence in the high-resolution grid of correlated sources based on a covariance of the sources until a center-of-mass for each region of silence converges.2. The method of wherein the one or more contiguous regions of silence in the low-resolution grid is localized using convex spectral clustering.3. The method of wherein localizing the one or more contiguous regions of silence in a low-resolution grid further comprises:obtaining a model brain indicating locations of the sources in the brain;obtaining readings of the brain from an EEG using a plurality of electrodes;determining, for each source, a cross-correlation coefficient indicating the contribution of the source to readings from each of the plurality of electrodes;calculating a normalized variance for each of the cross- ...

Method and device for attention training, and computer readable storage medium

Disclosed is a method for attention training, which includes: acquiring a first electroencephalogram (EEG) data that is currently detected through an EEG headband worn by a user; determining an attention level of the user, based on the first EEG data; and in response that the attention level is lower than a preset attention level, controlling to execute a first program based on the attention level, wherein the first program corresponds to a training plan. A device for attention training and a computer readable storage medium are further disclosed.

Flexible sheet for neuromuscular stimulation

A flexible sheet for neurostimulation is described having a flexible non-conductive substrate matrix in which electrodes are embedded along a lower surface. Electrically conductive wires extend from the electrodes through the flexible substrate to another exterior surface of the substrate. Methods of making the flexible sheet and making a device using the flexible sheet are also disclosed.

SYSTEMS AND METHODS FOR SEIZURE DETECTION BASED ON CHANGES IN ELECTROENCEPHALOGRAM (EEG) NON-LINEARITIES

A system of seizure detection including one or more processing circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient and determine a plurality of metrics based on the EEG signal, the plurality of metrics indicating non-linear features of the EEG signal. The one or more processing circuit are configured to perform a preliminary analysis with one of the plurality of metrics, wherein the preliminary analysis indicates that the EEG signal indicates a candidate seizure or that the EEG signal is insignificant, perform a secondary analysis with one or more metrics of the plurality of metrics to determine whether the EEG signal indicates the candidate seizure or that the EEG signal is insignificant, and generate a seizure alert indicating that the EEG signal indicates the candidate seizure. 1. A method of seizure detection comprising:receiving, by a processing circuit, an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient;determining, by the processing circuit, a plurality of metrics based on the EEG signal, the plurality of metrics indicating non-linear features of the EEG signal;performing, by the processing circuit, a preliminary analysis with one of the plurality of metrics, wherein the preliminary analysis indicates that the EEG signal indicates a candidate seizure or that the EEG signal is insignificant;performing, by the processing circuit, a secondary analysis with one or more metrics of the plurality of metrics to determine whether the EEG signal indicates the candidate seizure or that the EEG signal is insignificant; andgenerating, by the processing circuit, a seizure alert indicating that the EEG signal indicates the candidate seizure.2. The method of claim 1 , wherein the plurality of metrics comprise at least one of dimensionality claim 1 , synchrony claim 1 , Lyapunov exponents claim 1 , entropy claim 1 , global non-linearity claim 1 , distance ...

Noise determination method, noise determination device, and non-transitory computer-readable storage medium for storing noise determination program

A noise determination method executed by a computer, the noise determination method includes: acquiring time-series data; identifying a shape of a waveform of the time-series data using a persistent diagram; extracting a cluster whose lifetime from birth to death is equal to or greater than a threshold value in the persistent diagram; determining, from statistical information regarding time intervals related to pieces of data included in the cluster, whether or not peaks appear at regular intervals in the waveform of the time-series data; and controlling, based on a result of the determining, notification of an alert indicating that the time-series data includes noise.

EEG RECORDING AND ANALYSIS

One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed. 1. An electroencephalogram (EEG) monitoring system comprising:four discrete unitary wireless EEG sensors configured to be placed in first, second, third, and fourth locations spaced around a patient's scalp and configured to collect EEG signals; anda non-transitory computer readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to create 10-channels from the EEG signals including a channel from each of the four locations and additional channels from subtracting each EEG signal from one sensor relative to another to create a longitudinal transverse montage.2. The system of claim 1 , wherein the instructions cause the at least one processor to cause one or more channels of the 10-channels to be displayed.3. The system of claim 1 , wherein the instructions cause the at least one processor to cause the longitudinal transverse montage to be displayed.4. The system of claim 1 , wherein the four discrete unitary wireless EEG sensors are configured to be located in positions on the patient's scalp corresponding to approximately locations F7 claim 1 , F8 claim 1 , TP9 claim 1 , and TP10 claim 1 , respectively.5. The system of claim 1 , wherein the longitudinal transverse montage comprises channels F7 claim 1 , F8 claim 1 , TP9 claim 1 , TP10 claim 1 , F7-F8 claim 1 , F7-TP9 claim 1 , F7-TP10 claim 1 , F8-TP9 claim 1 , F8-TP10 claim 1 , and TP9-TP10.6. The system of wherein the channel from each of the four locations a single bipolar channel is derived from two electrodes of each sensor.7. A method for monitoring electroencephalogram (EEG) comprising:collecting EEG signals from no more than four ...

SYSTEM AND METHOD FOR PROVIDING REAL-TIME BIOLOGICAL FEEDBACK TRAINING THROUGH REMOTE TRANSMISSION

A system for providing real-time biological feedback training through remote transmission is provided and includes a local brain wave collection device, a docking device, and a dongle. The local brain wave collection device is used to detect a brain wave and a heart rate variability data of a subject. The docking device communicates with the local brain wave collection device remotely to connect a remote cloud system to compare the brain wave and the heart rate variability data with a brain wave database to generate a comparison result, and according to the comparison result, the system provides the subject a feedback training interface.

Anaesthesia and consciousness depth monotoring system

본 발명은 엔트로피 또는 생물체 피검자로부터의 연속 또는 유발 신호들을 모니터링하는 다른 복잡도 분석 등의 비선형 동적(NLD) 분석을 포함하는 방법 및 시스템으로 이루어지며, 여기서 이러한 시스템은 a) 생물체 피검자에 주어진 환자 자극의 결과로서 생물체의 신호 유발과, 신호 순서 또는 규칙성에서의 일시적 변화들을 잡아낼 수 있는 비선형 분석 방법의 결합; b) 유발 또는 연속 중추 신경 또는 말초 생리적 메커니즘들의 임의의 결합; c) 마취 및 의식 심도(A&CD), 진정 또는 수면/각성 상태의 환자의 레벨을 나타내는 측정치를 발생시키는 수단을 포함하는 처리 단계들로 이루어진다. 또한, 본 발명은 a) 중추 신경계(CNS), b) 말초 조절 또는 신경계(PNS), c) 자율 조절 또는 신경계(ANS), d) 각성들, 및 e) 인공물들의 임의의 결합을 포함하는 여러 가지 신호 기원들 사이에 구별을 향상시키기 위한 NLC 분석 수단을 포함하는 방법 및 시스템으로 이루어진다. The present invention consists of a method and system comprising non-linear dynamic (NLD) analysis, such as entropy or other complexity analysis to monitor continuous or induced signals from an organism subject, wherein the system comprises: a) A combination of signaling of the organism as a result and nonlinear analytical methods capable of capturing transient changes in signal sequence or regularity; b) any combination of induced or continuous central nervous or peripheral physiological mechanisms; c) anesthesia and consciousness depth (A & CD), means for generating a measure indicative of the level of the patient in a sedative or sleep / arousal state. The present invention also provides a method of treating a disorder or condition selected from the group consisting of a) central nervous system (CNS), b) peripheral or nervous system (PNS), c) autonomic regulation or nervous system (ANS) And methods of NLC analysis to improve discrimination between the different signal sources.

Apparatus and method of diagnosing health using cumulative data pattern analysis via fast Fourier transformation of brain wave data measured from frontal lobe

본 발명은 전전두엽에서 측정한 뇌파데이터를 고속푸리에변환(FFT)하여 주파수별로 구분한 다음 일정시간 누적하면서 반복되는 특정 주파수를 찾아 각 주파수별로 건강상태를 진단하는 장치 및 그 방법에 관한 것이다. 이를 위해 뇌파를 측정하는 단계, 고속푸리에변환하는 단계, 주파수별 뇌파데이터를 개안상태 뇌파와 폐안상태 뇌파로 구분하여 연속적으로 누적하는 단계, 누적된 뇌파데이터에서 반복되는 특정 주파수와 그 패턴을 찾는 단계, 주파수 패턴에 기초하여 주파수와 인체의 각 부위를 대응 연결하는 단계, 건강상태를 판별하는 단계 등으로 구분한다. 주파수별 건강상태 판별은 임상시험으로 발견한 사실을 근거로 한다. The present invention relates to an apparatus and method for diagnosing a state of health for each frequency by searching for a specific frequency that is repeated while accumulating for a predetermined time by classifying the EEG data measured in the frontal lobe by Fast Fourier Transform (FFT). To this end, the steps of measuring brain waves, fast Fourier transform, frequency-specific brain wave data is divided into open eye and lung eye brain waves continuously accumulating, finding specific frequencies and patterns that are repeated in the accumulated brain wave data According to the frequency pattern, the frequency and each part of the human body correspondingly connected, the step of determining the state of health and the like. Frequency discrimination is based on findings from clinical trials. 뇌, 뇌파, 고속푸리에변환, 건강, 진단 Brain, EEG, Fast Fourier Transform, Health, Diagnosis

뇌-컴퓨터 인터페이스 시스템 및 동작 상상에 의해 발현된 뇌파 신호를 분석하는 방법

본 발명은 뇌-컴퓨터 인터페이스 시스템 및 동작 상상에 의해 발현된 뇌파 신호를 분석하는 방법에 관한 것으로서, a) 기설정된 측정 시간 동안에 동작 상상시 발현되는 원시 뇌파 신호를 획득하고, 상기 원시 뇌파 신호를 동작 상상과 관련된 기본 주파수 대역으로 필터링하여 뇌파 신호를 생성하는 단계; b) 상기 뇌파 신호에 대한 뇌파 특징 패턴의 최적 발현 주파수 영역과 시간 범위를 산출하는 최적 성능 탐색 알고리즘을 수행을 수행하여, 상기 뇌파 신호를 기설정된 주파수 간격으로 분할하여 n개의 서브 밴드 신호로 변환 한 후 상기 서브 밴드 신호 별로 최대 성능 시간 범위를 검출하는 단계; c) 상기 서브 밴드 신호별 최대 성능 시간 범위를 기준으로 뇌파 특징을 추출하고, 상기 추출된 뇌파 특징을 이용하여 사용자가 상상 또는 의도한 동작을 인식하는 분류 모델을 생성한 후 상기 분류 모델의 분류 결과에 대한 정확도를 계산하여 분류 성능 평가를 수행하는 단계; 및 d) 상기 분류 성능 평가의 결과값에 기초하여 최상위 성능을 가지는 최적 서브 밴드 신호와, 상기 최적 서브 밴드 신호와 연계된 최대 성능 시간 범위를 검출하여 사용자별 최적화된 동작 상상 주파수-시간 영역으로 제공하는 단계를 포함하되, 상기 최적 성능 탐색 알고리즘은, 기설정된 시간 범위를 갖는 시간 탐색창을 설정하고, 각 서브 밴드 신호의 상기 측정 시간에 기설정된 임계 시간 간격으로 상기 시간 탐색창을 적용함으로 인해 생성되는 복수 개의 시간 범위에서 성능 평가를 수행하는 것이다.

Ear attachable sensor-set and operating method of the same

본 발명은 센서셋을 제공한다. 이 센서셋은 귀가 삽입되도록 함몰부를 포함하고 상기 함몰부를 통하여 귀에 결합하는 외장, 외장에 장착되고 관자놀이 부위에 배치되는 제1 생체 전극, 및 귀의 주변에 배치되는 적어도 하나의 생체 전극을 포함한다. The present invention provides a sensor set. The sensor set includes a recess for inserting the ear and including an exterior coupled to the ear through the recess, a first bioelectrode mounted on the exterior and disposed at the temple site, and at least one biological electrode disposed around the ear.

Apparatus and method for monitoring depth of sedation

본 발명은 대상체의 진정 마취 상태의 심도를 모니터링하는 장치를 제공한다.본 장치는 진정마취심도를 추정하는 프로그램이 저장된 메모리 및 상기 프로그램을 실행하는 프로세서를 포함하고, 프로세서는 상기 프로그램이 실행됨에 따라, 진정 마취 약제가 투입되기 전과 후에 대한 대상체의 뇌전도 데이터 및 심전도 데이터를 획득하고, 뇌전도 데이터 및 심전도 데이터 간의 인과관계를 모델링하여 인과관계 모델을 추출하며, 인과관계 모델을 기초로 대상체의 진정마취심도를 추정한다. The present invention provides an apparatus for monitoring the depth of a true anesthetic state of an object. The apparatus includes a memory for storing a program for estimating an anesthetic depth and a processor for executing the program, , Obtains the electroencephalogram data and electrocardiogram data of the object before and after the anesthetic agent is actually input, extracts the causal model by modeling the causal relationship between the electroencephalogram data and the electrocardiographic data, and calculates the true anesthetic depth of the object based on the causal relationship model .

经由从额叶测得的脑电波数据的快速傅立叶变换使用累积数据图案分析来诊断健康的设备和方法

本发明提供一种健康诊断设备和方法，其中在眼睛处于睁眼和闭眼状态时从待诊断人体的额叶处按顺序测量脑电波，对所测得的脑电波进行快速傅立叶变换以接着进行累积，且接着可根据具有各自频率的图案来确定人体各部位的健康状况。健康状况诊断方法包含：测量脑电波；对所测得的脑电波执行快速傅立叶变换；将基于频率的脑电波数据分类为睁眼和闭眼状态脑电波，以由此累积经分类的结果；从所累积的脑电波数据中找到特定频率及其重复图案；基于特定频率图案相应地将频率与人体各部位进行关连；以及确定人体的健康状况。基于临床测试结果来进行基于频率的健康状况确定。

시간적 측정치를 이용하는 뇌 패턴의 분석

뇌의 신경 신호전달을 검출하기 위해 배열된 공간적으로 분포된 센서에 의해 획득된 신경생리학적 활동의 시계열을 나타내는 뇌 데이타의 집합을 얻는다 (예컨대, 자기뇌파검사의 이용에 의해). 뇌 데이타의 집합은 뇌 데이타의 집합 내의 상이한 시계열의 그룹화 간의 부분 교차 상관계수와 같은 통계적으로 독립적인 시간적 측정치의 집합을 기초로 하는 동력학 뇌 모형을 얻기 위해 프로세싱된다. 동력학 뇌 모형은 예를 들어 영차와 같은 시간 상으로 근접하여 발생하는 뇌의 신경 집단 간의 상호작용을 나타낸다. 동력학 뇌 모형은 뇌의 신경생리학적 평가를 얻기 위해 분석될 수 있다. 데이타 프로세싱 기술은 구조적 또는 신경화학적 뇌 병리학의 평가를 위해 이용될 수 있다. 뇌 패턴, 신경 신호전달, 동력학 뇌 모형, 신경생리학적 활동

Sleep period separating method and system

本发明公开了一种睡眠分期方法，该方法应用于一种睡眠分期系统，该系统包括：用于置于被试者额头左侧或左侧嗫部无发区的第一测量电极、用于置于被试者额头右侧或右侧嗫部无发区的第二测量电极、用于置于被试者左耳周围的第一参考电极、用于置于被试者右耳周围的第二参考电极、放大采集器、以及分期设备；该方法包括：利用第一测量电极和第二测量电极采集被试者的脑电信号与眼电信号，利用信号放大采集器对所述脑电信号与眼电信号进行信号放大并将放大后的信号进行模数转换；分期设备利用模数转换后的脑电信号与眼电信号确定被试者的睡眠分期。

Wireless Control System Using Brain Computer Interface

본 발명은 브레인 컴퓨터 인터페이스를 이용한 무선 제어시스템에 관한 것이다. 본 발명에서는 측정 대상의 뇌파신호를 검지하기 위한 센서부와, 상기 센서부로부터 전송된 미약한 뇌파신호를 증폭 및 필터링하기 위한 아날로그 회로로 구성되는 뇌파 측정용 증폭 모듈부와, 상기 뇌파 측정용 증폭 모듈부로부터 전송된 뇌파 신호를 디지털 신호처리 및 제어 신호 구현을 위한 디지털회로로 구성되는 뇌파 신호 적용 H/W 모듈부와, 상기 뇌파 신호 적용 H/W 모듈부측로부터 전송된 신호에서 필요한 신호만을 추출하기 위한 S/W 알고리즘을 포함하는 뇌파 신호처리부와, 상기 뇌파신호처리부에서 전송된 제어신호를 타겟 장치로 무선 전송 가능한 모듈 장치를 포함하는 제어신호 무선 전송 모듈부를 포함하는 브레인 컴퓨터 인터페이스를 이용한 무선 제어시스템이 제시된다. The present invention relates to a wireless control system using a brain computer interface. In the present invention, the EEG measurement module consisting of a sensor unit for detecting the EEG signal to be measured, an analog circuit for amplifying and filtering the weak EEG signal transmitted from the sensor unit, and the EEG measurement amplification Extracts only the necessary signals from the signal transmitted from the EEG signal application H / W module unit consisting of a digital circuit for digital signal processing and control signal implementation of the EEG signal transmitted from the module unit, and the EEG signal application H / W module Wireless control using a brain computer interface including an EEG signal processing unit including an S / W algorithm for controlling and a control signal wireless transmission module unit including a module device capable of wirelessly transmitting a control signal transmitted from the EEG signal processing unit to a target device The system is presented.

Method and device for determining head gestures

本申请公开了一种头部动作确定方法和装置，其中，所述头部动作确定方法包括：响应于人体的一头部动作，获取所述人体的脑电检测信息；确定与所述脑电检测信息对应的头部动作。本申请提供了一种头部动作识别的新方案，头部动作识别的准确度较高。

Device for evaluating brain signals

本发明题为用于评估脑信号的装置。一种用于评估患者的脑信号的方法包括：由一个或多个处理器确定正在该患者的脑处发生的神经数据的群集；以及由该一个或多个处理器响应于确定该神经数据的该群集正在该患者的该脑处发生而输出让该用户提供针对该神经数据的该群集的患者状态信息的请求。该方法还包括：由该一个或多个处理器将该患者状态信息与该神经数据的该群集相关联以生成患者评估信息；以及由该一个或多个处理器输出该患者评估信息。

Electroencephalography based systems and methods for selecting therapies and predicting outcomes

A method and system for utilizing neurophysiologic information obtained by techniques such as quantitative electroencephalography (QEEG), electrode recordings, MRI in appropriately matching patients with therapeutic entities is disclosed. The present invention enables utilization of neurophysiologic information, notwithstanding its weak correlation with extant diagnostic schemes for mental disorders, for safer and expeditious treatment for mental disorders, discovering new applications for therapeutic entities, improved testing of candidate therapeutic entities, inferring the presence or absence of a desirable response to a treatment, and deducing the mode of action of one or more therapeutic entities. In particular, methods for effectively comparing neurophysiologic information relative to a reference set are disclosed along with database-based tools for deducing therapeutic entity actions on particular patients such that these tools are readily accessible to remote users.

Artificial intelligence based device and method for providing brain information

【課題】使用者が活動する状態で、脳に関する信号を収集し、脳状態を判断してフィードバックすることができる人工知能に基づく脳情報提供方法を提供する。【解決手段】脳信号測定部１０の脳信号取得部が、使用者の脳に近赤外線を照射し、大脳皮質を透過した光を検出する第１のステップと、脳信号測定部の脳信号処理部が、検出された光を基に、脳血流内のヘモグロビン酸素化程度を判断する第２のステップと、脳信号分析部が、判断されたヘモグロビン酸素化程度を基に、脳の複数の領域のうち、活性化された少なくとも１つの脳活性化領域を抽出する第３のステップと、診断部５０が一定期間の間、連続して抽出された少なくとも１つの脳活性化領域を基に、脳状態を判断する第４のステップとを含み、第１のステップの脳信号取得部の信号収集動作は、使用者が動く状態で行われる。【選択図】図１

Electrode discharge automatic regulating system based on electroencephalogram signals, medium and electronic equipment

本发明提供了一种基于脑电信号的电极放电自动调节系统、介质及电子设备，属于一般的控制或调节系统技术领域。根据获取的脑电信号以及预设的机器学习模型，得到康复主体的运动意图；根据得到的运动意图以及脑电信号，得到当前的电流刺激模式，其中，电流刺激模式包括：电流刺激的时间、电流刺激的频率、电流的大小以及电流刺激的位置；根据肢体运动程度以及颅内电流分布，进行电流刺激模式的反馈调整；其中，颅内电流分布的获取，包括：根据康复主体的脑部扫描结果，构建康复主体的包含电流信号的脑部图像立体模型，通过不同的颜色区分电流大小；本发明根据评估结果进行电流刺激模式的自适应改变，极大的提高了电刺激康复治疗的效果。

System and method of monitoring and teaching children with autism spectrum disorders

Изобретение относится к области обучения, более конкретно к способам и системам мониторинга и обучения детей с расстройствами аутистического спектра, включающим в себя обучающего робота, персональное компьютерное устройство ребенка, каждое из которых снабжено модулем обмена данными компьютерного устройства ребенка с другим устройством и с внешними устройствами по объединённой сети и может быть использовано для эффективной организации коррекционно-образовательной работы с детьми с расстройствами аутистического спектра (РАС). Согласно изобретению система включает в себя удаленный сервер, персональные компьютерные устройства родителей и специалистов, соединенные посредством объединенной сети с удаленным сервером, нейроинтерфейсный модуль для отслеживания мозговой активности ребенка, располагаемый на ребенке, соединенный посредством объединенной сети с удаленным сервером, включающий датчики ЭЭГ, причем нейроинтерфейсный модуль включает акселерометр и гироскоп, датчики распознавания направления взгляда, располагаемые на персональном компьютерном устройстве ребенка, причем удаленный сервер выполнен с возможностью сбора и анализа визуальных данных об активности ребёнка: выражения лица, направлении взгляда, двигательной активности, а также выполнен с возможностью автоматической передачи данных на персональные компьютерные устройства родителей и специалистов данных о текущих и нежелательных состояниях ребенка. Система реализуется заявленным способом. Достигаемый технический результат – возможность осуществления занятий с ребенком без непосредственного присутствия взрослого, то есть возможность автоматической работы системы с отслеживанием состояния ребенка и дистанционного отслеживания состояний и управления системы. 2 н. и 7 з.п. ф-лы, 3 ил. РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) (13) 2 708 114 C1 (51) МПК G09B 19/00 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ (12) ОПИСАНИЕ ИЗОБРЕТЕНИЯ К ПАТЕНТУ (52) СПК G09B 19/00 (2019.08) (21)(22) Заявка: 2019121641, 10.07. ...

Brain-computer aided analysis method and system for aviation accident

本发明涉及一种航空事故的脑机辅助分析方法，包括：获取各个飞行员飞行时的历史脑电信号以及历史心理和生理特征，记为第一脑电信号以及第一特征；以第一脑电信号为输入，第一特征为输出，训练特征识别模型；将航空事故飞机的飞行员的脑电信号输入特征识别模型，输出航空事故飞机的飞行员心理和生理特征，记为第二特征；根据航空事故飞机的飞行员的历史心理和生理特征以及第一特征判断第二特征是否异常；若是，则针对航空事故飞机的飞行员分析航空事故起因；若否，则根据第二特征进行事故模拟复现，获得复现的事故信息；根据复现的事故信息分析航空事故起因。本发明结合飞行员脑电信号进行辅助分析，可以更全面、更客观地分析航空事故起因。

Biological signal monitoring apparatus

피험자의 정신적 건강 상태들 및 생리적 건강 상태들을 동시에 판정하는 방법으로서: 적어도 하나의 생체 신호들을 모니터링하는 단계 - 여기서, 상기 생체 신호들은, 의식 상태를 나타내는, 지속적인 EEG 생체 신호들 또는 청각 자극들에 의해 생성되는 유발 EEG 생체 신호들; 상기 의식 상태를 나타내는, 산소 포화도(SA02) 및 반사형 혈량 측정 파형 신호들, 호흡 전파 시간 및 맥박 전파 시간, ECG, 혈류 변화들 및 혈압 변화들, 맥파 동맥 파형 변화들 또는 맥파 동맥 긴장 변화들, 심박수 및 심박수 변동성 중 적어도 하나를 포함하는 또다른 생체 신호들; 근전도(EMG) 생체 신호들; 및 심전도(ECG) 생체 신호들을 포함함 -; 상기 피험자의 활력 징후들을 측정하는 단계; 상기 측정된 생체 신호들의 특성에 근거하여, 수면 상태, 정신 상태, 또는 지각 상태 중에서 상기 피험자의 상기 의식 상태를 판정하는 단계; 상기 판정된 의식 상태 그리고 상기 측정된 활력 징후들과 상기 활력징후들의 알려진 정상 범위와의 비교 결과에 근거하여, 상기 피험자의 상기 정신적 건강 상태들 또는 생리적 건강 상태들을 판정하는 단계; 및 상기 피험자의 상기 정신적 건강 상태들 또는 생리적 건강 상태들 그리고 상기 측정된 활력 징후들에 근거하여, 상기 피험자의 생리적 또는 정신적 건강 위험 예측을 판정하는 단계를 포함한다.

DEVICE FOR DETECTING AND WARNING OF A MEDICAL CONDITION

1. Портативное устройство для прогнозирования эпилептических припадков, содержащее: ! по меньшей мере, один датчик (203, 204, 206-1, 206-2, 206-3, 207) для считывания физического симптома в теле пациента, при этом известно, что симптом способен прогнозировать эпилептические припадки, и для подачи сигналов, характеризующих такой симптом; ! по меньшей мере, один процессор (201), связанный с датчиком (203, 204, 206-1, 206-2, 206-3, 207), для выполнения операций, причем операции содержат обработку сигналов для обнаружения, удовлетворяют ли они, по меньшей мере, одному критерию, характеризующему эпилептические припадки; ! по меньшей мере, одно устройство вывода (205, 501, 903, 904, 905), выполненное с возможностью подачи тревожной индикации, когда критерий удовлетворяется; и ! по меньшей мере, одно крепежное приспособление для закрепления устройства на теле пациента. ! 2. Устройство по п.1, в котором крепежное приспособление содержит наручный ремешок (101), на котором имеются, по меньшей мере, процессор (CE) и устройство вывода (CE). ! 3. Устройство по п.1, в котором средство для крепления содержит головной убор (401), на котором имеются датчик, процессор и устройство вывода. ! 4. Устройство по п.1, в котором ! симптом содержит паттерн сердечных сокращений (фиг. 3); ! по меньшей мере, один критерий содержит, по меньшей мере, один сохраненный паттерн сердечных сокращений, известный как прогнозирующий эпилептические припадки; и ! средство обработки использует алгоритм искусственного интеллекта для определения, соответствуют ли сигналы сохраненному паттерну. ! 5. Устройство по п.4, в котором ! датчик дополнительно содержит, по меньшей мере, одно устройство (204, 206-1, 206-2, 206-3) обнаружения движ РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) 2008 129 814 (13) A (51) МПК A61B 5/024 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ, ПАТЕНТАМ И ТОВАРНЫМ ЗНАКАМ (12) ЗАЯВКА НА ИЗОБРЕТЕНИЕ (21), (22) Заявка: 2008129814/14, 19.12.2006 (71) Заявитель(и): КОНИНКЛЕЙКЕ ФИЛИПС ...

Methods and devices for modulating cellular activity using ultrasound

本发明包括用于调节活细胞(例如在人、动物、植物、昆虫、微生物和其他有机体中发现或衍生的细胞)的一种或多种活动的方法和装置。本发明的方法包括施用超声(例如低强度低频超声)至活细胞以影响细胞和调节细胞活性的应用。本发明的装置包括产生超声波的一种或多种组件，例如超声发射器、换能器、或压电换能器、复合换能器、CMUT、和可设置为单或多换能器或设置在阵列构造中的组件。超声波可以是任何形状的，并且可以是聚焦的或未聚焦的。

Apparatus and method for monitoring or analyzing consciousness state of subject

본 발명은 생물학적 대상자의 통증, 진정, 마취, 의식, 주의, 인지 기능, 인지 인식 또는 인지 기억 유지의 수준을 결정하기 위해, 상기 생물학적 대상자의 생리적 데이터를 획득하기 위한 장치에 관한 것이다. 상기 장치는: 상기 생물학적 대상자의 적어도 하나의 반응 신호를 유발하기 위한 자극을 생성하기 위한 수단; 및 상기 자극을 생성하기 위한 수단으로부터 얻어진 유발 반응 신호로부터 적어도 2개의 파라미터들을 도출하기 위한 수단을 포함한다. 여기서, 상기 유발 반응 신호로부터의 상기 파라미터들은 상기 생물학적 대상자의 생리적 또는 심리적 메커니즘들 중 적어도 하나를 나타낸다. The present invention relates to a device for acquiring physiological data of a biological subject for determining the level of pain, sedation, anesthesia, consciousness, attention, cognitive function, cognitive cognition or cognitive memory maintenance of said biological subject. The apparatus comprises: means for generating a stimulus to elicit at least one response signal in the biological subject; and means for deriving at least two parameters from a evoked response signal obtained from the means for generating the stimulus. Here, the parameters from the evoked response signal represent at least one of physiological or psychological mechanisms of the biological subject.

Sleep quality analysis method and device, electronic equipment and computer readable medium

本申请涉及一种睡眠质量分析方法、装置、电子设备及计算机可读介质。该方法包括：获取用户的头皮脑电图信号；在所述头皮脑电图信号满足第一策略时，基于所述头皮脑电图信号生成多组特征数据；将所述多组特征数据输入脑电分期模型中，输出多个睡眠分期概率，所述脑电分期模型通过跨域样本数据和无监督学习模型实现；基于所述多个睡眠分期概率确定目标睡眠分期并对所述用户的睡眠质量进行分析。本申请涉及的睡眠质量分析方法、装置、电子设备及计算机可读介质，能有效解决不同数据集间存在特征分布差异导致机器学习模型泛化性能下降的问题，针对未标记的测试数据集也能有较好的的模型训练效果，提升模型在实际应用中的分析质量。

System And Method For Generating An Avatar With User Information, Providing It To An External Metaverse Platform, And Recommending A User-Customized DTx(Digital Therapeutics)

본 발명은 사용자의 정보로 아바타를 생성하여 외부의 메타버스플랫폼에 제공하고 사용자 맞춤형 디지털치료제를 추천하는 시스템 및 방법에 관한 것으로서, VR장치를 통해 사용자의 생체정보, 활동정보, 및 의료정보를 수신하고, 이를 바탕으로 가상현실 속에서 아바타를 생성할 수 있고, 상기 아바타에 대한 정보를 외부의 메타버스플랫폼에 제공하고, 사용자의 정보에 기초하여 상기 복수의 외부의 메타버스플랫폼이 제공하는 각각의 디지털치료제에 대해 추천수치를 산출하고, 사용자의 정보로 산출한 사용자수치와 비교하여 추천디지털치료제를 도출하고, 상기 사용자가 상기 추천디지털치료제를 이용하며 인터랙션한 인터랙션정보를 수신하여, 추천디지털치료제에 대한 상기 추천수치를 업데이트 할 수 있도록 하는, 아바타를 생성하여 외부의 메타버스플랫폼에 제공하고 사용자 맞춤형 디지털치료제를 추천하는 시스템 및 방법에 관한 것이다. The present invention relates to a system and method for generating an avatar from user information, providing it to an external metaverse platform, and recommending a user-customized digital therapeutic agent, and receives the user's biometric information, activity information, and medical information through a VR device. and, based on this, an avatar can be created in virtual reality, information about the avatar is provided to an external metaverse platform, and each of the plurality of external metaverse platforms provided by the user based on user information The recommended digital treatment is calculated by calculating the recommended value for the digital treatment, compared with the user value calculated with the user's information, and the recommended digital treatment is derived. The present invention relates to a system and method for generating an avatar to update the recommendation value, providing it to an external metaverse platform, and recommending a user-customized digital therapeutic agent.

Methods and apparatuses for recognizing user intention based on brain wave

본 발명은 뇌파 기반의 사용자 의도 인식 방법 및 장치에 관한 것으로, 본 발명의 일 실시 예에 따른 뇌파 기반의 사용자 의도 인식 방법은, 타겟을 제어하고자 하는 의도를 가진 사용자의 뇌파 데이터를 센싱하는 단계, 상기 센싱된 뇌파 데이터에 대한 뇌파 센싱 위치, 뇌파 발생 시점, 뇌파 지속 시간 및 뇌파 전위 방향 중에서 적어도 하나를 기학습된 뇌파 패턴을 기반으로 분석하여 사용자의 의도를 인식하는 단계, 및 상기 인식된 사용자의 의도에 따라 타겟을 제어하는 제어 신호를 출력하는 단계를 포함한다. The present invention relates to an EEG-based user intention recognition method and apparatus, wherein the EEG-based user intention recognition method according to an embodiment of the present invention includes: sensing EEG data of a user with an intention to control a target, Recognizing the intention of the user by analyzing at least one of the EEG sensing position, EEG generation time, EEG duration, and EEG potential direction for the sensed EEG data based on a previously learned EEG pattern, and the recognized user's And outputting a control signal for controlling the target according to the intention.

Systems, devices, and methods for treating vestibular conditions

Apparatus and methods are described herein that provide a vibratory device that can apply a vibratory signal to a portion of a head of a user such that the vibratory signal can be conducted via bone to a vestibular system of the user and cause a portion of the vestibular system to move in a manner equivalent to that of a therapeutically effective vibratory signal applied to an area overlaying a mastoid bone of the user. The vibratory device can be associated with frequencies less than 200 Hz. The vibratory device can be effective at treating a physiological condition associated with the vestibular system.

Method for controlling moving body based on collaboration between the moving body and human, and apparatus for controlling the moving body thereof

본 발명은 이동체 및 사람 간의 협력에 기반하여 원격 이동체를 제어하는 기술에 관한 것으로, 이동체의 제어 방법은, 사용자로부터 이동체의 구동 개시 의사를 나타내는 제 1 생체 신호를 획득하여 이동체를 구동하고, 스스로 주행을 제어하는 이동체의 주변 상황을 판단하여 경로 설정을 유도하기 위한 이동체의 주변 정보를 사용자에게 제공하고, 사용자로부터 주변 정보의 인지에 따라 유발된 제 2 생체 신호를 획득하여 이동체의 주행 방향을 설정하고, 설정된 주행 방향에서 이동체가 취해야 할 주행 동작을 자동으로 수행하도록 명령하며, 사용자로부터 주행 오류의 인지에 대응하는 제 3 생체 신호를 획득하여 이동체의 주행 방향을 교정함으로써 주행 경로의 재설정을 유도한다. The present invention relates to a technology for controlling a remote moving object based on cooperation between the moving object and a person. The method for controlling a moving object includes obtaining a first biosignal indicating an intention to start driving the moving object from a user, driving the moving object, and driving by itself. Provide the user with information on the surroundings of the moving object for inducing route setting by determining the surrounding situation of the moving object that controls the , instructs the moving object to automatically perform the driving motion to be taken in the set driving direction, and obtains a third biosignal corresponding to recognition of a driving error from the user and corrects the driving direction of the moving object to induce resetting of the driving route.

Electronic device and health management method using the same

본 개시의 다양한 실시예에 따른 전자 장치는 센서, 메모리, 및 상기 센서 및 상기 메모리와 작동적으로 연결되는 제 1 프로세서를 포함하고, 상기 제 1 프로세서는 상기 센서를 이용해 미리 설정된 주기에 따라 감지한 상기 전자 장치 사용자의 제1데이터를 수신하고, 상기 사용자의 위치 정보 또는 상기 사용자가 입력하는 정보를 포함하는 제2데이터를 확인하며, 상기 제1데이터 및 상기 제2데이터에 기초하여 상기 메모리에 미리 저장된 임계값과 비교하고, 상기 비교한 결과에 따라 상기 사용자의 현재 신체 상태(health state)를 검출(detect)하며, 상기 검출한 신체 상태에 따라 상기 메모리에 미리 저장된 추천(recommend) 가이드 정보를 생성하고, 상기 미리 설정된 주기에 따라 수신되는 변경된 제1데이터 및 상기 제2데이터에 더 기초하여, 상기 사용자의 신체 상태를 반복하여 검출할 수 있다.

Seizure warning and prediction

Impending seizure warning (ISW), seizure susceptibility period detection (SSPD), hours or days before an impending seizure, and time to impending seizure prediction (TISP) are provided by measuring each of a number of signals from different locations about a patient's brain, and generating therefrom, a spatio-temporal response based on these signals. Chaoticity profiles are then generated for each spatio-temporal response. Over a period of time, a determination is made as to whether a certain level of dynamic entrainment exists between the chaoticity profiles associated with the responses from a set of critical locations. If so, a seizure warning, an indication of seizure susceptibility and a prediction of a time of occurrence of an impending seizure may be issued.

The biological signal analysis system and biological signal analysis method for operating by the system

본 발명의 일 실시 예에 따른 생체 신호 분석 시스템은 헤드 마운티드 디스플레이(HMD: head mounted display)를 통해 사용자에게 가상현실 컨텐츠가 제공되는 컨텐츠제공부, 사용자에게 제공되는 가상현실 컨텐츠에 대응하여 변화되는 사용자의 생체 신호가 측정되는 생체신호측정부, 측정된 생체 신호를 기초로 사용자의 심리 상태가 분석되는 생체신호분석부 및 분석된 사용자의 심리 상태에 따라 컨텐츠제공부에서 제공되는 가상현실 컨텐츠의 카테고리, 자극 레벨 및 제공 주기 중 적어도 어느 하나를 제어하기 위한 프로세서가 포함될 수 있다. A biosignal analysis system according to an embodiment of the present invention provides a content provider that provides virtual reality content to a user through a head mounted display (HMD), and a user who changes in response to virtual reality content provided to the user A category of virtual reality content provided by a bio-signal measurement unit for measuring bio-signals, a bio-signal analysis unit for analyzing a user's psychological state based on the measured bio-signals, and a content providing unit according to the analyzed psychological state of the user; A processor for controlling at least one of the stimulation level and the provision period may be included.

System and method for determining sleep stages based on sleep cycle

本公开涉及基于对应于各个睡眠周期的算法和/或参数在各个睡眠周期期间确定睡眠阶段的系统和方法。与现有技术系统相比，所述系统使得能够进行更准确地实时睡眠阶段确定。基于脑电图(EEG)和/或借助其它方法，实时检测睡眠周期。在一个睡眠周期结束处，将该系统配置为使得由特别适于下一睡眠周期的新的算法和/或参数替代用于先前睡眠周期以确定睡眠阶段的特定算法和/或参数。

Method for predicting depth of anesthesia based on eeg signal and anesthesia depth prediction device performing method

본 발명의 일 실시예에 따른 마취심도 예측 장치에 의해 수행되는 뇌전도 신호에 기초하여 마취심도를 예측하는 방법은, 소정의 시간 단위로, 소정의 시간 구간 동안 피측정자의 상기 뇌전도 신호를 측정하는 단계; 상기 뇌전도 신호를, 진동수에 따른 진폭 값 및 위상 값으로 변환하는 단계; 기 학습된 신경망을 이용하여, 상기 진동수에 따른 진폭 값 및 위상 값으로부터 상기 마취심도를 예측하는데 이용되는 가중치를 결정하는 단계; 및 상기 가중치를 이용하여, 상기 시간 구간으로부터 소정의 시간이 지난 후의 상기 마취심도를 예측하는 단계를 포함할 수 있다. A method for predicting depth of anesthesia based on an electroencephalogram signal performed by an apparatus for predicting depth of anesthesia according to an embodiment of the present invention includes the steps of measuring the electroencephalogram signal of a subject in a predetermined time unit for a predetermined period of time. ; converting the electroencephalogram signal into an amplitude value and a phase value according to a frequency; determining a weight used to predict the depth of anesthesia from the amplitude and phase values according to the frequency, using a pre-learned neural network; and estimating the depth of anesthesia after a predetermined time has elapsed from the time interval by using the weight.

Method and apparatus for predicting user state

본 발명의 실시예에 따른 사용자 상태를 예측하기 위한 방법 및 그 장치가 제공된다. 본 발명의 실시예에 따른 사용자 상태 예측 방법은, 복수의 사용자들에 대한 제1 생체 데이터를 획득하는 단계; 상기 획득된 제1 생체 데이터 및 고정된 학습 파라미터를 기초로 예측 모델을 파인 튜닝(Fine Tuning)하는 단계; 및 적어도 하나의 사용자에 대한 사용자 상태를 예측하기 위한 제2 생체 데이터를 입력으로, 상기 파인 튜닝된 예측 모델을 이용하여 예측된 사용자 상태를 출력하는 단계를 포함하고, 상기 고정된 학습 파라미터는, 상기 예측 모델과 상이하며, 상기 복수의 사용자들에 대한 제1 생체 데이터를 입력으로 상기 복수의 사용자들에 대한 사용자 상태를 예측하도록 학습된 제1 모델에 기반하여 추출된다. A method and an apparatus for predicting a user state according to an embodiment of the present invention are provided. A user state prediction method according to an embodiment of the present invention includes: acquiring first biometric data for a plurality of users; Fine tuning a predictive model based on the obtained first biometric data and a fixed learning parameter; and outputting a user state predicted by using the fine-tuned prediction model by inputting second biometric data for predicting a user state for at least one user, wherein the fixed learning parameter includes: It is different from the prediction model, and is extracted based on the first model learned to predict the user state of the plurality of users by inputting the first biometric data for the plurality of users.

Method of measuring memorability of a multimedia message

FIELD: medicine. SUBSTANCE: invention refers to medicine, namely to methods for measuring memorability of a multimedia message. Disclosed is a method comprising using system 10–20 and with reference electrodes mounted on auricle or user mastoids, electrodes arranged at points C3, C4, T3, T4, P3 and F4 determined according to international arrangement of electrodes of 10–20 % are installed on user's head. Cerebral activity indices are recorded when a multimedia message is presented to the user; the registration results are used to determine the values: entropy of lead (E) for electrode C3; first coherence of leads (K1) equal to coherence of leads for electrodes T3 and T4 in range of 30–45 Hz; second coherence of leads (K2) equal to coherence value of leads for electrodes C4 and T4 in range of 4–8 Hz; third coherence of leads (K3) equal to coherence of leads for electrodes P3 and F4 in range of 8–13 Hz; memorability weighting factor (FME) for output entropy is set. First, second and third weighting factors FM1, FM2 and FM3, respectively, for first, second and third output entropies, and determining memorability (MM) of the multimedia message by calculating the sum of products KE*E, FM1*K1, FM2*K2 and FM3*K3 for E, K1, K2 and K3, determined for the multimedia message. EFFECT: invention reduces labor costs associated with determining the effect of multimedia messages on users, as well as the possibility of implementing an objective universal quantitative assessment of memorability. 14 cl, 6 dwg РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) (13) 2 708 197 C1 (51) МПК A61B 5/16 (2006.01) A61B 5/0408 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ (12) ОПИСАНИЕ ИЗОБРЕТЕНИЯ К ПАТЕНТУ (52) СПК A61B 5/16 (2019.05); A61B 5/0408 (2019.05) (21)(22) Заявка: 2018145585, 21.12.2018 (24) Дата начала отсчета срока действия патента: Дата регистрации: 04.12.2019 (73) Патентообладатель(и): Акционерное общество "Нейротренд" (RU) (45) Опубликовано: 04.12.2019 Бюл. № 34 2 7 0 8 1 9 ...

Anaesthesia and consciousness depth monotoring system

본 발명은 엔트로피 또는 생물체 피검자로부터의 연속 또는 유발 신호들을 모니터링하는 다른 복잡도 분석 등의 비선형 동적(NLD) 분석을 포함하는 방법 및 시스템으로 이루어지며, 여기서 이러한 시스템은 a) 생물체 피검자에 주어진 환자 자극의 결과로서 생물체의 신호 유발과, 신호 순서 또는 규칙성에서의 일시적 변화들을 잡아낼 수 있는 비선형 분석 방법의 결합; b) 유발 또는 연속 중추 신경 또는 말초 생리적 메커니즘들의 임의의 결합; c) 마취 및 의식 심도(A&CD), 진정 또는 수면/각성 상태의 환자의 레벨을 나타내는 측정치를 발생시키는 수단을 포함하는 처리 단계들로 이루어진다. 또한, 본 발명은 a) 중추 신경계(CNS), b) 말초 조절 또는 신경계(PNS), c) 자율 조절 또는 신경계(ANS), d) 각성들, 및 e) 인공물들의 임의의 결합을 포함하는 여러 가지 신호 기원들 사이에 구별을 향상시키기 위한 NLC 분석 수단을 포함하는 방법 및 시스템으로 이루어진다. The present invention consists of a method and system comprising non-linear dynamic (NLD) analysis, such as entropy or other complexity analysis to monitor continuous or induced signals from an organism subject, wherein the system comprises: a) A combination of signaling of the organism as a result and nonlinear analytical methods capable of capturing transient changes in signal sequence or regularity; b) any combination of induced or continuous central nervous or peripheral physiological mechanisms; c) anesthesia and consciousness depth (A & CD), means for generating a measure indicative of the level of the patient in a sedative or sleep / arousal state. The present invention also provides a method of treating a disorder or condition selected from the group consisting of a) central nervous system (CNS), b) peripheral or nervous system (PNS), c) autonomic regulation or nervous system (ANS) And methods of NLC analysis to improve discrimination between the different signal sources.

System and method for pain detection and computation of a pain quantification index

检测个体疼痛的方法包括生成基于实验对象脑波活动的脑波数据并将所述脑波数据与参考数据比较以生成结果数据，以及确定作为结果数据的函数的该实验对象体验的疼痛的存在。所述参考数据对应(i)群体常模性数据，表示无疼痛的第一群个体的脑波活动，(ii)群体参考数据，表示第二群个体在应答施予他们的疼痛事件时产生的脑波活动，(iii)主观性群体参考数据，表示第三群个体报告疼痛感觉时的脑波活动，和/或(iv)参考数据群，表示第四群个体在改变主观疼痛报告的干预后的脑波活动。

Wearable apparatus for transcranial electrical stimulation and transcranial electrical stimulation method using the same

본 명세서는 웨어러블 장치에 관한 것이다. 상기 웨어러블 장치는 전기 자극 생성부; 상기 전기 자극 생성부를 내장하고, 상기 사용자의 이마에 접하도록 일 측으로 만곡된 하우징; 전극 패치가 탈착 가능하도록 상기 하우징의 내측면 중 적어도 일부에 배치된 전극 단자; 상기 하우징의 양단에 형성된 밴딩부; 및 상기 전극 패치를 통해 미리 정해진 전류 패턴의 전기 자극을 전달하는 중 상기 사용자의 신체 상태에 따라 서로 다른 전류 패턴을 생성하도록 상기 전기 자극 생성부를 제어하는 프로세서를 포함하며, 사용자의 머리에 착용되어 효과적으로 전기 자극을 전달할 수 있는 효과가 있다.

System and method for tracking brain states during administration of anesthesia

A method and system for determining the state of a patients brain under anesthesia. The present invention recognizes that anesthesia compounds induce different signatures in physiological characteristics of the patient under anesthesia and aids interpretation of physiological characteristics and signatures therein based on a selected anesthesia compound. The present invention aids the monitoring and/or interpreting of the physiological characteristics to a state of the patient's brain.

Categorizing perceptual stimuli by detecting subconcious responses

A perceptual stimulus categorization technique is presented which identifies the stimuli category of a perceptual stimulus that has been presented to a person whose brain activity is being monitored. This generally accomplished by first training a detection module to recognize the part of the brain activity generated in response to the presentation of a stimulus belonging to each of one or more stimuli categories using brain activity information. Once the detection module is trained, a subsequent instance of a stimulus belonging to a trained stimuli category being presented to the person is detected, and this detection is used to identify the trained stimuli category to which the presented stimulus belongs.

EEG data analysis system, information processing terminal, electronic device, and information presentation device for EEG analysis test