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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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Применить Всего найдено 2. Отображено 2.
29-08-2012 дата публикации

Method for determining respiration rate from uncorrupted signal segments

Номер: GB0002488316A
Автор: HERNANDEZ-SILVEIRA MIGUEL [GB], ANG SU-SHIN [GB], BURDETT ALISON [GB], HERNANDEZ-SILVEIRA MIGUEL, ANG SU-SHIN, BURDETT ALISON, MIGUEL HERNANDEZ-SILVEIRA, SU-SHIN ANG, ALISON BURDETT
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The method operates on a signal representative of a recorded respiration episode, and comprises: identifying 14 two or more uncorrupted segments within the signal; selecting 16 the longest of the uncorrupted segments, or the segment with a lowest Average Absolute Deviation (AAD) between respiration peaks or troughs 16; and determining 18 a respiration rate from the selected segment. The method of identifying uncorrupted segments may involve checking whether gradients or amplitudes in the signal exceed certain thresholds. The method of identifying uncorrupted segments may also include studying the intervals between peaks and troughs in the signal using the AAD.

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Номер записи: 1
18-11-2015 дата публикации

A method for confidence level determination of ambulatory HR algorithm based on a three-way rhythm classifier

Номер: GB0002526105A
Автор: HERNANDEZ-SILVEIRA MIGUEL [GB], ANG SU-SHIN [GB], HERNANDEZ-SILVEIRA MIGUEL, ANG SU-SHIN, MIGUEL HERNANDEZ-SILVEIRA, SU-SHIN ANG
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A method of determining a confidence level in a heart rate obtained from an ECG signal of a patent comprises determining a heart rate from a segment of an ECG signal, the segment having a pre-determined length, and determining a first confidence level in the determined heart rate. If the first confidence level exceeds a predetermined value, the heart rate is output. Otherwise, the method further comprises determining a set of features from the segment of the ECG signal; and classifying the segment of the ECG signal, based on one or more features selected from the determined set of features and the heart rate, into one of at least three classes: noise, an abnormal sinus rhythm and a normal sinus rhythm. The present invention makes it possible to discriminate between an abnormal rhythm and noise as well as between a normal rhythm, whereas conventional methods can only discriminate between noise and a normal heart rhythm. The invention thus makes it possible to process the abnormal heart rate ...

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Номер записи: 2