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公开(公告)号：US20170360363A1
公开(公告)日：2017-12-21
申请号：US15536158
申请日：2015-12-10
发明人： Pedro Miguel FONSECA , Xi LONG , Nicolaas Gregorius Petrus DEN TEULING , Reinder HAAKMA , Ronaldus Maria AARTS
IPC分类号： A61B5/00 , A61B5/024 , A61B5/08 , A61B5/0476
CPC分类号： A61B5/4812 , A61B5/024 , A61B5/0476 , A61B5/08 , A61B5/4806 , A61B5/7264 , A61B5/7275 , A61B5/7282 , G16H40/63 , G16H50/20
摘要： The present disclosure pertains to a system configured to detect slow wave sleep and/or non-slow wave sleep in a subject during a sleep session based on a predicted onset time of slow wave sleep and/or a predicted end time of slow wave sleep that is determined based on changes in cardiorespiratory parameters of the subject. Cardiorespiratory parameters in a subject typically begin to change before transitions between non-slow wave sleep and slow wave sleep. Predicting this time delay between the changes in the cardiorespiratory parameters and the onset and/or end of slow wave sleep facilitates better (e.g., more sensitive and/or more accurate) determination of slow wave sleep and/or non-slow wave sleep.
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公开(公告)号：US20160128641A1
公开(公告)日：2016-05-12
申请号：US14934255
申请日：2015-11-06
IPC分类号： A61B5/00 , A61B5/113 , A61B5/08 , A61B5/0245 , A61B5/0402
CPC分类号： A61B5/7278 , A61B5/0245 , A61B5/0402 , A61B5/0809 , A61B5/0816 , A61B5/1118 , A61B5/1135 , A61B5/4806 , A61B5/4812 , A61B5/7203 , A61B5/7242 , A61B5/725 , A61B5/7257 , A61B5/726
摘要： An actigraphy method includes receiving a physiological parameter signal as a function of time for a physiological parameter other than body motion (such as electrocardiography or a respiration monitor), computing a body motion artifact (BMA) signal as a function of time from the physiological parameter signal (for example, using a local signal power signal, a local variance signal, a short-time Fourier transform, or a wavelet transform over epochs of duration on order a few minutes or less), and computing an actigraphy signal as a function of time from the BMA signal, for example by applying a linear transform to the BMA signal and optionally applying filtering such as median removal and/or high-pass filtering.
摘要翻译： 一种动作方法包括接收生理参数信号作为身体运动以外的生理参数（如心电图或呼吸监测器）作为时间的函数，根据生理参数计算身体运动假象（BMA）信号作为时间的函数 信号（例如，使用本地信号功率信号，局部方差信号，短时傅立叶变换或在几分钟或更短的时间段上的时间周期上的小波变换），以及计算作为 例如通过对BMA信号应用线性变换并且可选地应用诸如中值去除和/或高通滤波的滤波来从BMA信号获得时间。
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3.发明申请公开(公告)号：US20210275089A1
公开(公告)日：2021-09-09
申请号：US17272959
申请日：2019-09-23
发明人： Xi LONG , Rick BEZEMER
摘要： For the purpose of obtaining information about a person's sleep and wake states, an arrangement (100) comprising a video camera (10) and a processing unit (20) is used. The video camera (10) serves for capturing a sequence of video frames during a time period, and the processing unit (20) is configured to process video frames provided by the video camera (10) and to provide output representative of the person's sleep and wake states during the time period. In particular, the processing unit (20) is configured to execute an algorithm according to which (i) a motion value-time relation, (ii) sets of features relating to respective epochs in the motion value-time relation and (iii) classifiers of the respective epochs are determined, wherein the algorithm is further configured to apply an adaptive prior probability determined for the particular person in dependence of the motion values of the respective epochs to the classifiers.
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公开(公告)号：US20200260967A1
公开(公告)日：2020-08-20
申请号：US16651568
申请日：2018-09-18
IPC分类号： A61B5/026 , A61B5/024 , A61B5/00 , A61B5/0295
摘要： In a sensor system (12), output signals of at least one PPG sensor (14) are processed to derive a modified pulse amplitude variation (PAV) value, being modified to take account of a baseline variation of the PPG sensor output signal. In particular, the modified PAV is derived through performing a modification step (42) in which either: a baseline variation of the PPG sensor output is derived and combined with a previously derived PAV, or, a PPG sensor output is first processed to perform baseline variation compensation, in advance of then deriving a PAV from the compensated signal.
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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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公开(公告)号：US20170360308A1
公开(公告)日：2017-12-21
申请号：US15536680
申请日：2015-12-10
发明人： Pedro Miguel FONSECA , Xi LONG , Nicolaas Gregorius Petrus DEN TEULING , Reinder HAAKMA , Ronaldus Maria AARTS
摘要： The present disclosure pertains to a system configured to determine one or more parameters based on cardiorespiratory information from a subject and determine sleep stage classifications based on a discriminative undirected probabilistic graphical model such as Conditional Random Fields using the determined parameters. The system is advantageous because sleep is a structured process in which parameters determined for individual epochs are not independent over time and the system determines the sleep stage classifications based on parameters determined for a current epoch, determined relationships between parameters, sleep stage classifications determined for previous epochs, and/or other information. The system does not assume that determined parameters are discriminative during an entire sleep stage, but maybe indicative of a sleep stage transition alone. In some embodiments, the system comprises one or more sensors, one or more physical computer processors, electronic storage, and a user interface.
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