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公开(公告)号:US20220133222A1
公开(公告)日:2022-05-05
申请号:US17431766
申请日:2020-02-12
发明人: Pedro Miguel FERREIRA DOS SANTOS DA FONSECA , Angela GRASSI , Henricus Theodorus Johannus Antonius Gerardus VAN DER SANDEN , Rene Dick KRAGT , Aleksei AGAFONOV , Jozef Hubertus GELISSEN
IPC分类号: A61B5/00 , A61B5/11 , A61B5/113 , A61B7/04 , A61B5/0205
摘要: A sleep monitoring system has a movement sensing arrangement and a controller for identifying from the movement sensing arrangement output signals sleep-disordered breathing events. Seismocardiography signals are recorded and analyzed to determine repetitive patterns, from which an inter-beat interval time series is derived without identifying specific elements of the repetitive patterns. The sleep-disordered breath events are derived from the inter-beat interval time series. In this way, SCG signals can be used for sleep monitoring in a robust and reliable way.
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公开(公告)号:US20200093422A1
公开(公告)日:2020-03-26
申请号:US16495687
申请日:2018-03-20
发明人: Pedro Miguel FERREIRA DOS SANTOS DA FONSECA , Mustafa Ghassan RADHA , Antonius Hermanus Maria AKKERMANS
IPC分类号: A61B5/00 , A61B5/0205 , A61B5/024
摘要: A sleep stage classification system (330) is provided. A sleep stage analyzing is performed based on an output signal (100a) of a PPG sensor (100). An estimation unit (310) is adapted to estimate features associated to a respiratory effort of a user based on the output signal (100a) of the PPG sensor (100) and to output a respiratory effort feature signal. A respiratory effort determining unit (320) is adapted to determine to respiratory effort based on the respiratory effort feature signal from the estimation unit (310). A sleep stage classification unit (330) is adapted to classify a sleep stage of a user based on the determined respiratory effort from the respiratory effort determining unit (320) and to output a sleep stage classification signal (310).
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公开(公告)号:US20200146619A1
公开(公告)日:2020-05-14
申请号:US16628186
申请日:2018-07-10
发明人: Gary Nelson Garcia MOLINA , Cristhian Mauricio POTES BLANDON , Pedro Miguel FERREIRA DOS SANTOS DA FONSECA , Bryan CONROY , Minnan XU
IPC分类号: A61B5/00 , A61B5/0205
摘要: A system (400) for monitoring an individual's sleep includes: (i) a patient monitor (410) configured to obtain a patient waveform, the patient waveform comprising information representative of a vital statistic of the patient; a processor (420) in communication with the patient monitor and configured to: (i) process the patient waveform to generate a segmented waveform; (ii) extract at least one feature from a segment of the waveform in a time domain and/or at least one feature from the segment of the waveform in the frequency domain; (iii) classify, using the at least one extracted feature, a sleep stage of the patient for the segment of the waveform; and (iv) generate, from classified sleep stages for a plurality of segments of the waveform, a sleep quality measurement; and a user interface (480) configured to report the generated sleep quality measurement.
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公开(公告)号:US20190000375A1
公开(公告)日:2019-01-03
申请号:US16020309
申请日:2018-06-27
IPC分类号: A61B5/00 , A61B5/0205 , A61B5/024
摘要: A method of determining sleep statistics for a subject includes the steps of: collecting cardio-respiratory information of the subject; extracting features from the cardio-respiratory information; determining sleep stages of the subject by using at least some of the extracted features; determining an estimated total sleep time of the subject based on the determined sleep stages; and determining sleep statistics of the subject using the estimated total sleep time.
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公开(公告)号:US20200306496A1
公开(公告)日:2020-10-01
申请号:US16832927
申请日:2020-03-27
IPC分类号: A61M21/02
摘要: A system for delivering sensory stimulation comprises a sensor configured to measure autonomic nervous system activity information of a user during a sleep session; a sensory stimulator configured to deliver sensory simulation to the user during the sleep session; and a computer system. One or more physical processors of the computer system are programmed with computer program instructions which, when executed cause the computer system to: obtain the autonomic nervous system activity information of the user; determine parasympathetic nervous system information based on the obtained autonomic nervous system activity information of the user; and provide input to the sensory stimulator based on the determined parasympathetic nervous system information, the provided input causing the sensory stimulator to deliver the sensory stimulation to the user based on the determined parasympathetic nervous system information.
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公开(公告)号:US20200155060A1
公开(公告)日:2020-05-21
申请号:US16589181
申请日:2019-10-01
发明人: Pedro Miguel FERREIRA DOS SANTOS DA FONSECA , Gregory Delano MATTHEWS , Michael Thomas KANE , Mareike KLEE , Raymond Charles VASKO, JR. , Angela GRASSI
摘要: The present disclosure describes a sleep staging system. The system comprises: one or more sensors configured to generate output signals conveying information related to breathing parameters of subject during a respiratory therapy session; and one or more physical computer processors configured by computer readable instructions to: determine, based on the output signals, one or more breathing features of individual breaths of the subject; determine a distribution of the one or more breathing features over a plurality of time windows, at least one of the time windows having a length of at least 60 seconds; determine sleep states of the subject by mapping the distribution of the breathing features to one or more sleep states using a sleep stage classifier model, the sleep stage classifier model configured to determine the sleep states; and provide feedback indicating the sleep states during the respiratory sleep session.
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公开(公告)号:US20170360361A1
公开(公告)日:2017-12-21
申请号:US15533084
申请日:2015-12-04
IPC分类号: A61B5/00 , A61B5/11 , A61B5/0402 , A61B5/024 , A61B5/08
摘要: The present disclosure pertains to a system (10) configured to determine spectral boundaries (216, 218) for sleep stage classification in a subject (12). The spectral boundaries may be customized and used for sleep stage classification in an individual subject. Spectral boundaries determined by the system that are customized for the subject may facilitate sleep stage classification with higher accuracy relative to classifications made based on static, fixed spectral boundaries that are not unique to the subject. In some implementations, the system comprises one or more of a sensor (16), a processor (20), electronic storage (22), a user interface (24), and/or other components.
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