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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 17. Отображено 17.
05-09-2017 дата публикации

Respiratory stress detection

Номер: US0009750463B2
Автор: Gokul Swamy, Sahika Genc, Hariharan Ravishankar, Aditya Saha, SWAMY GOKUL, GENC SAHIKA, RAVISHANKAR HARIHARAN, SAHA ADITYA, Swamy Gokul, Genc Sahika, Ravishankar Hariharan, Saha Aditya
Принадлежит: General Electric Company, GEN ELECTRIC

Embodiments of the disclosure are directed to a system for analysis of respiratory distress in hospitalized patients. The system performs multi-parametric simultaneous analysis of respiration rate (RR) and pulse oximetry (SpO 2 ) data trends in order to gauge patterns of patient instability pertaining to respiratory distress. Three patterns in SpO 2 and RR are used along with LOWESS algorithm and Chauvenets criteria for outlier rejection to obtain robust short term and long term trends in RR and SpO 2 . Pattern analysis detects the presence of any one of three pattern types proposed. Further, a learning paradigm is introduced to find unknown instances of respiratory distress. This algorithm in conjunction with the learning model allows early detection of respiratory distress in hospital ward and ICU patients.

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Номер записи: 1
16-04-2009 дата публикации

METHOD AND SYSTEM FOR IDENTIFYING DEFECTS IN A RADIOGRAPHIC IMAGE OF A SCANNED OBJECT

Номер: US20090097729A1
Автор: Rajashekar Venkatachalam, Manoharan Venugopal, Megha Navalgund, Gokul Swamy
Принадлежит: GENERAL ELECTRIC COMPANY

A method for processing a radiographic image of a scanned object is provided. The method comprises acquiring radiographic image data corresponding to a scanned object and identifying one or more regions of interest in the radiographic image data corresponding to the scanned object. The method further comprises performing an image-contrast comparison of the radiographic image data corresponding to the scanned object and one or more reference radiographic images, to identify one or more defects in the radiographic image data corresponding to the scanned object.

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Номер записи: 2
11-08-2011 дата публикации

SYSTEM AND METHOD OF AUTOMATED GESTATIONAL AGE ASSESSMENT OF FETUS

Номер: US20110196236A1
Автор: Gokul Swamy, Prateep Mukherjee, Jyotirmoy Banerjee, Sheshadri Thiruvenkadam, SWAMY GOKUL, MUKHERJEE PRATEEP, BANERJEE JYOTIRMOY, THIRUVENKADAM SHESHADRI
Принадлежит:

An ultrasound system includes a transducer array comprising a multiplicity of transducer elements configured to acquire image data of an object, a display system for displaying an image of the object based on the acquired image data, and an image processor module. The image processor module is programmed to calculate the curvature of the image, and identify an object feature based on the calculated curvature and based on known feature tendencies of the object.

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Номер записи: 3
03-07-2014 дата публикации

METHODS AND SYSTEMS FOR AUTOMATED SOFT TISSUE SEGMENTATION, CIRCUMFERENCE ESTIMATION AND PLANE GUIDANCE IN FETAL ABDOMINAL ULTRASOUND IMAGES

Номер: US20140185895A1
Автор: Gokul Swamy, Rui Li, SWAMY GOKUL, LI RUI
Принадлежит: GENERAL ELECTRIC COMPANY

A computer-implemented method for analyzing a fetal ultrasound image includes accessing a first statistical model calculated from training data representing shapes of conforming fetal abdominal tissue exemplars and accessing image data representing a scan plane in an ultrasound image. The method further includes identifying a region of interest including an abdomen in the scan plane using the first statistical model, accessing a second statistical model calculated from training data representing shapes of conforming fetal anatomical structure exemplars, determining whether one or more anatomical structures are present within the region of interest using the second statistical model, and assigning a rating to the scan plane based on the presence of the one or more anatomical structures in the region of interest. The anatomical structures may include a stomach and/or a portal vein. The method may include calculating an estimated circumference of the abdomen. 1. A computer-implemented method for analyzing a fetal ultrasound image , the computer including a processor and a memory operatively coupled to the processor , the method comprising:accessing, in the memory, a first statistical model calculated from training data representing shapes of conforming fetal abdominal tissue exemplars;accessing, in the memory, image data representing a scan plane in an ultrasound image;identifying, by the processor, a region of interest including an abdomen in the scan plane using the first statistical model;accessing, in the memory, a second statistical model calculated from training data representing shapes of conforming fetal anatomical structure exemplars;determining, by the processor, whether one or more anatomical structures are present within the region of interest using the second statistical model; andassigning, by the processor, a rating to the scan plane based on the presence of the one or more anatomical structures in the region of interest.2. The computer-implemented ...

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Номер записи: 4
21-06-2012 дата публикации

SYSTEMS AND METHODS FOR AUTOMATICALLY IDENTIFYING AND SEGMENTING DIFFERENT TISSUE TYPES IN ULTRASOUND IMAGES

Номер: US20120157842A1
Автор: Cynthia Elizabeth Landberg Davis, Ying Fan, Hae Won Lim, Gokul Swamy, Navneeth Subramanian, Nitya Subramaniam, DAVIS CYNTHIA ELIZABETH LANDBERG, FAN YING, LIM HAE WON, SWAMY GOKUL, SUBRAMANIAN NAVNEETH, SUBRAMANIAM NITYA
Принадлежит: GENERAL ELECTRIC COMPANY

A system for providing non-invasive ultrasound based treatment to a region of interest is provided. The system comprises an imaging unit for imaging one or more tissue types in the region of interest, an image processing unit that is configured to identify the one or more tissue types in the region of interest, an ultrasound transducer that is configured to focus an ultrasound beam to ablate at least a portion of the identified tissues, and a controller unit that controls a delivery of the ultrasound beam to the region of interest.

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Номер записи: 5
21-05-2009 дата публикации

Method And Apparatus For Determining Central Aortic Pressure Waveform

Номер: US20090131804A1
Автор: Ramakrishna Mukkamala, Gokul Swamy, Qi Ling, Tongtong Li
Принадлежит: Michigan State University MSU

A method is provided for determining a central aortic pressure waveform. The method includes: measuring two or more peripheral artery pressure waveforms; analyzing the signals so as to extract common features in the measured waveforms; and determining an absolute central aortic pressure waveform based on the common features.

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Номер записи: 6
09-04-2019 дата публикации

Methods and apparatus for determining a central aortic pressure waveform from a peripheral artery pressure waveform

Номер: US0010251566B2
Автор: Ramakrishna Mukkamala, Gokul Swamy, Nicholas Bari Olivier, MUKKAMALA RAMAKRISHNA, SWAMY GOKUL, OLIVIER NICHOLAS BARI, Mukkamala, Ramakrishna, Swamy, Gokul, Olivier, Nicholas Bari
Принадлежит: Board of Trustees of Michigan State University, MUKKAMALA RAMAKRISHNA, SWAMY GOKUL, OLIVIER NICHOLAS BARI, UNIV MICHIGAN STATE, Mukkamala Ramakrishna, Swamy Gokul, Olivier Nicholas Bari

A method is provided for determining a central aortic pressure (AP) wave-form for a subject. The method includes measuring a peripheral artery pressure (PAP) waveform from the subject, employing a distributed model to define a pressure-to-pressure transfer function relating PAP to AP and a pressure-to-flow transfer function relating PAP to a central arterial flow in terms of the same unknown parameters, estimating the unknown parameters by finding the pressure-to-flow transfer function, which when applied to the measured PAP waveform, minimizes the magnitude of the central arterial flow waveform during diastole, and applying the pressure-to-pressure transfer function with the estimated parameters to determine an AP waveform for the subject.

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Номер записи: 7
19-06-2012 дата публикации

Method and system for identifying defects in a radiographic image of a scanned object

Номер: US0008204291B2
Автор: Rajashekar Venkatachalam, Manoharan Venugopal, Megha Navalgund, Gokul Swamy, VENKATACHALAM RAJASHEKAR, VENUGOPAL MANOHARAN, NAVALGUND MEGHA, SWAMY GOKUL
Принадлежит: General Electric Company, VENKATACHALAM RAJASHEKAR, VENUGOPAL MANOHARAN, NAVALGUND MEGHA, SWAMY GOKUL, GEN ELECTRIC, GENERAL ELECTRIC COMPANY

A method for processing a radiographic image of a scanned object is provided. The method comprises acquiring radiographic image data corresponding to a scanned object and identifying one or more regions of interest in the radiographic image data corresponding to the scanned object. The method further comprises performing an image-contrast comparison of the radiographic image data corresponding to the scanned object and one or more reference radiographic images, to identify one or more defects in the radiographic image data corresponding to the scanned object.

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Номер записи: 8
09-03-2021 дата публикации

Determining product attribute sequences using quantitative values

Номер: US0010943286B1
Автор: Avik Ghosh, Gokul Swamy, GHOSH AVIK, SWAMY GOKUL, Ghosh, Avik, Swamy, Gokul
Принадлежит: Amazon Technologies, Inc., AMAZON TECH INC

Systems, methods, and computer-readable media are disclosed for determining product attribute sequences using quantitative values and predicting product performance. In one embodiment, an example method may include determining, by one or more computer processors coupled to at least one memory, a first textual product attribute value for a first product for which to predict product performance, the first product associated with a first product category, determining a first product demand model for the first product category, the first product demand model including at least one algorithm configured to output predicted product performance, determining a first numeric product attribute sequence for the first product using the first textual product attribute value and the first product demand model, the first numeric product attribute sequence including a first numeric product attribute value and a second numeric product attribute value, and determining a first textual product attribute sequence ...

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Номер записи: 9
01-01-2013 дата публикации

Method and apparatus for determining central aortic pressure waveform

Номер: US0008343061B2
Автор: Ramakrishna Mukkamala, Gokul Swamy, Qi Ling, Tongtong Li, MUKKAMALA RAMAKRISHNA, SWAMY GOKUL, LING QI, LI TONGTONG
Принадлежит: Board of Trustees of Michigan State University, UNIV MICHIGAN STATE, MUKKAMALA RAMAKRISHNA, SWAMY GOKUL, LING QI, LI TONGTONG, BOARD OF TRUSTEES OF MICHIGAN STATE UNIVERSITY

A method is provided for determining a central aortic pressure waveform. The method includes: measuring two or more peripheral artery pressure waveforms; analyzing the signals so as to extract common features in the measured waveforms; and determining an absolute central aortic pressure waveform based on the common features.

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Номер записи: 10
27-10-2011 дата публикации

METHODS AND APPARATUS FOR DETERMINING A CENTRAL AORTIC PRESSURE WAVEFORM FROM A PERIPHERAL ARTERY PRESSURE WAVEFORM

Номер: US20110263989A1
Автор: Ramakrishna Mukkamala, Gokul Swamy, Nicholas Bari Olivier, MUKKAMALA RAMAKRISHNA, SWAMY GOKUL, OLIVIER NICHOLAS BARI
Принадлежит: Board of Trustees of Michigan State University

A method is provided for determining a central aortic pressure (AP) wave-form for a subject. The method includes measuring a peripheral artery pressure (PAP) waveform from the subject, employing a distributed model to define a pressure-to-pressure transfer function relating PAP to AP and a pressure-to-flow transfer function relating PAP to a central arterial flow in terms of the same unknown parameters, estimating the unknown parameters by finding the pressure-to-flow transfer function, which when applied to the measured PAP waveform, minimizes the magnitude of the central arterial flow waveform during diastole, and applying the pressure-to-pressure transfer function with the estimated parameters to determine an AP waveform for the subject.

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Номер записи: 11
11-06-2015 дата публикации

RESPIRATORY STRESS DETECTION

Номер: US20150157275A1
Автор: Gokul Swamy, Sahika Genc, Hariharan Ravishankar, Aditya Saha, SWAMY GOKUL, GENC SAHIKA, RAVISHANKAR HARIHARAN, SAHA ADITYA
Принадлежит: General Electric Company

Embodiments of the disclosure are directed to a system for analysis of respiratory distress in hospitalized patients. The system performs multi-parametric simultaneous analysis of respiration rate (RR) and pulse oximetry (SpO) data trends in order to gauge patterns of patient instability pertaining to respiratory distress. Three patterns in SpOand RR are used along with LOWESS algorithm and Chauvenets criteria for outlier rejection to obtain robust short term and long term trends in RR and SpO. Pattern analysis detects the presence of any one of three pattern types proposed. Further, a learning paradigm is introduced to find unknown instances of respiratory distress. This algorithm in conjunction with the learning model allows early detection of respiratory distress in hospital ward and ICU patients. 1. A computer-implemented method of detecting respiratory distress in a patient , the computer including a processor , the method comprising acts of:{'sub': '2', 'monitoring patient data over a time period, said patient data comprising measures of respiratory rate and SpOrecorded simultaneously in a storage component;'}{'sub': '2', 'tracking said measures of respiratory rate and SpOover said time period, individually, in corresponding least squares regression models;'}{'sub': 2', '2, 'analyzing said least squares regression models of each of said measures of respiratory rate and SpOto remove noisy deviation from respective said measures of respiratory rate and SpO; and'}identifying multiple segmented trends in each of said least squares regression models as one of an uptrend, downtrend, or neutral, wherein each of said trends in sequential combination establish a pattern;wherein said pattern triggers an alarm as an early warning system of patient distress and prevents false alarm fatigue.2. The computer-implemented method of claim 1 , further comprising a step of correlating said measures of respiratory rate and SpO.3. The computer-implemented method of claim 2 , ...

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Номер записи: 12
15-09-2016 дата публикации

METHOD AND SYSTEM FOR DETERMINING RESPIRATION RATE

Номер: US20160262705A1
Автор: Gokul Swamy, Sahika Genc, Ashish Anil Rao, Abhijit Vishwas Patil, Amod Jai Ganesh Anandkumar, SWAMY GOKUL, GENC SAHIKA, RAO ASHISH ANIL, PATIL ABHIJIT VISHWAS, ANANDKUMAR AMOD JAI GANESH, Swamy Gokul, Genc Sahika, Rao Ashish Anil, Patil Abhijit Vishwas, Anandkumar Amod Jai Ganesh
Принадлежит:

A method for determining a respiration rate of a subject, includes receiving a first signal and a second signal, each signal being representative of a physiological parameter of the subject. The method includes removing a cardiac artifact signal from the first signal and the second signal to generate a first processed signal and a second processed signal respectively. The method includes removing a motion artifact signal from the first processed signal and the second processed signal to generate a first periodic signal and the second processed signal respectively. The method further includes removing a residual noise signal from the first periodic signal and the second periodic signal to generate a first noise free signal and the second noise free signal respectively. The method includes generating a combined value from a first value and a second value based on the first noise free signal and the second noise free signal respectively. 1. A method , comprising:receiving a plurality of signals comprising a first signal and a second signal, each signal being representative of physiological parameters of a subject;(i) processing the first signal to remove a cardiac artifact signal from the first signal and generate a first processed signal and processing the second signal to remove the cardiac artifact signal from the second signal and generate a second processed signal;(ii) processing the first processed signal using a polynomial fitting technique to remove a motion artifact signal from the first processed signal and generate a first periodic signal and processing the second processed signal using the polynomial fitting technique to remove the motion artifact signal from the second processed signal and generate a second periodic signal;(iii) processing the first periodic signal using a spectral decomposition technique to remove a residual noise signal from the first periodic signal and generate a first noise free signal and processing the second periodic signal using ...

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Номер записи: 13
06-05-2014 дата публикации

Systems and methods for automatically identifying and segmenting different tissue types in ultrasound images

Номер: US0008715187B2
Автор: Cynthia Elizabeth Landberg Davis, Ying Fan, Hae Won Lim, Gokul Swamy, Navneeth Subramanian, Nitya Subramaniam, LANDBERG DAVIS CYNTHIA ELIZABETH, FAN YING, LIM HAE WON, SWAMY GOKUL, SUBRAMANIAN NAVNEETH, SUBRAMANIAM NITYA
Принадлежит: General Electric Company, LANDBERG DAVIS CYNTHIA ELIZABETH, FAN YING, LIM HAE WON, SWAMY GOKUL, SUBRAMANIAN NAVNEETH, SUBRAMANIAM NITYA, GEN ELECTRIC, GENERAL ELECTRIC COMPANY

A system for providing non-invasive ultrasound based treatment to a region of interest is provided. The system comprises an imaging unit for imaging one or more tissue types in the region of interest, an image processing unit that is configured to identify the one or more tissue types in the region of interest, an ultrasound transducer that is configured to focus an ultrasound beam to ablate at least a portion of the identified tissues, and a controller unit that controls a delivery of the ultrasound beam to the region of interest.

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Номер записи: 14
09-09-2014 дата публикации

Methods and systems for automated soft tissue segmentation, circumference estimation and plane guidance in fetal abdominal ultrasound images

Номер: US0008831311B2
Автор: Gokul Swamy, Rui Li
Принадлежит: General Electric Company

A computer-implemented method for analyzing a fetal ultrasound image includes accessing a first statistical model calculated from training data representing shapes of conforming fetal abdominal tissue exemplars and accessing image data representing a scan plane in an ultrasound image. The method further includes identifying a region of interest including an abdomen in the scan plane using the first statistical model, accessing a second statistical model calculated from training data representing shapes of conforming fetal anatomical structure exemplars, determining whether one or more anatomical structures are present within the region of interest using the second statistical model, and assigning a rating to the scan plane based on the presence of the one or more anatomical structures in the region of interest. The anatomical structures may include a stomach and/or a portal vein. The method may include calculating an estimated circumference of the abdomen.

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Номер записи: 15
21-08-2018 дата публикации

Method and apparatus for determining a central aortic pressure waveform

Номер: US0010052070B2
Автор: Ramakrishna Mukkamala, Gokul Swamy, Qi Ling, Tongtong Li, MUKKAMALA RAMAKRISHNA, SWAMY GOKUL, LING QI, LI TONGTONG, Mukkamala, Ramakrishna, Swamy, Gokul, Ling, Qi, Li, Tongtong
Принадлежит: Board of Trustees of Michigan State University, UNIV MICHIGAN STATE

A method is provided for determining a central aortic pressure waveform. The method includes: measuring two or more peripheral artery pressure waveforms; analyzing the signals so as to extract common features in the measured waveforms; and determining an absolute central aortic pressure waveform based on the common features.

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Номер записи: 16
25-04-2013 дата публикации

METHOD AND APPARATUS FOR DETERMINING A CENTRAL AORTIC PRESSURE WAVEFORM

Номер: US20130102909A1
Автор: LI Tongtong, LING Qi, MUKKAMALA Ramakrishna, SWAMY Gokul
Принадлежит: BOARD OF TRUSTEES OF MICHIGAN STATE UNIVERSITY

A method is provided for determining a central aortic pressure waveform. The method includes: measuring two or more peripheral artery pressure waveforms; analyzing the signals so as to extract common features in the measured waveforms; and determining an absolute central aortic pressure waveform based on the common features. 1105.-. (canceled)106. A method for determining an absolute central aortic pressure waveform comprising:measuring peripheral artery pressure signals or related signals at more than one peripheral location in an arterial tree of a subject;modeling the arterial tree as a single input, multi-output system in which each output corresponds to one of the measured signals;analyzing, by a computing device having a processor, the measured signals so as to estimate a common input of the system to within an arbitrary scale factor; anddetermining, by the computing device, an absolute central aortic pressure waveform by scaling the estimated input based on the measured signals.107. The method of wherein channels of the single-input claim 106 , multi-output system model of the arterial tree are first estimated to within an arbitrary scale factor and then an inverse of the estimated channels is applied to the measured signals so as to reconstruct the common input to within an arbitrary scale factor.108. The method of wherein channels of the single-input claim 106 , multi-output system model of the arterial tree are characterized by linear and time-invariant impulse responses that are coprime.109. The method of wherein analyzing the measured signals further comprises applying multi-channel blind system identification to the measured signals to estimate parameters and order of the impulse responses and thereby estimate the impulse responses to within an arbitrary scale factor; and estimating the input of the system to within an arbitrary scale factor by deconvolution.110. The method of further comprising the representation of the impulse responses with a set of ...

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Номер записи: 17