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公开(公告)号：US20190069808A1
公开(公告)日：2019-03-07
申请号：US16179729
申请日：2018-11-02
Applicant: David Andrew CLIFTON , Drew BIRRENKOTT , Lionel TARASSENKO , Marco PIMENTEL
Inventor： David Andrew CLIFTON , Drew BIRRENKOTT , Lionel TARASSENKO , Marco PIMENTEL
IPC: A61B5/08 , A61B5/087 , A61B5/024 , A61B5/0456 , A61B5/00
Abstract: Methods, devices and systems for determining the frequency of a periodic physiological process of a subject, particularly respiration rate or heart rate, are disclosed. In one arrangement plural time windows of physiological data are obtained. Reference features corresponding to modulation modes are identified. Modulations of the reference features are extracted. Quality parameters are obtained by processing the extracted modulations. The quality parameters represent how strongly the extracted modulation exhibits a waveform of the periodic physiological process. The extracted modulations are processed to calculate the frequency of the periodic physiological process of the subject. The frequency of the periodic physiological process may be calculated using only a subset of the extracted modulations, the subset being selected using the quality parameter, or using a combination of the extracted modulations wherein each extracted modulation has a weighting defined by the quality parameter of the extracted modulation.
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公开(公告)号：US09615749B2
公开(公告)日：2017-04-11
申请号：US14240291
申请日：2012-08-16
IPC: A61B5/1455 , A61B5/02 , A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/08 , A61B5/1171 , G06T5/00 , G06T5/10 , G06K9/00
CPC classification number: A61B5/0077 , A61B5/0022 , A61B5/0205 , A61B5/02416 , A61B5/0816 , A61B5/1176 , A61B5/14551 , A61B5/7203 , A61B5/725 , G06K9/00563 , G06T5/008 , G06T5/10 , G06T2207/10016 , G06T2207/10024 , G06T2207/30076 , G06T2207/30088 , G06T2207/30104 , G06T2207/30201
Abstract: A method of remote monitoring of vital signs by detecting the PPG signal in an image of a subject taken by a video camera such as a webcam. The PPG signal is identified by auto-regressive analysis of ambient light reflected from a region of interest on the subject's skin. Frequency components of the ambient light and aliasing artefacts resulting from the frame rate of the video camera are cancelled by auto-regressive analysis of ambient light reflected from a region of interest not on the subject's skin, e.g. in the background. This reveals the spectral content of the ambient light allowing identification of the subject's PPG signal. Heart rate, oxygen saturation and breathing rate are obtained from the PPG signal. The values can be combined into a wellness index based on a statistical analysis of the values.
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公开(公告)号：US20140303454A1
公开(公告)日：2014-10-09
申请号：US14240291
申请日：2012-08-16
IPC: A61B5/00 , A61B5/117 , A61B5/1455 , A61B5/0205
CPC classification number: A61B5/0077 , A61B5/0022 , A61B5/0205 , A61B5/02416 , A61B5/0816 , A61B5/1176 , A61B5/14551 , A61B5/7203 , A61B5/725 , G06K9/00563 , G06T5/008 , G06T5/10 , G06T2207/10016 , G06T2207/10024 , G06T2207/30076 , G06T2207/30088 , G06T2207/30104 , G06T2207/30201
Abstract: A method of remote monitoring of vital signs by detecting the PPG signal in an image of a subject taken by a video camera such as a webcam. The PPG signal is identified by auto-regressive analysis of ambient light reflected from a region of interest on the subject's skin. Frequency components of the ambient light and aliasing artefacts resulting from the frame rate of the video camera are cancelled by auto-regressive analysis of ambient light reflected from a region of interest not on the subject's skin, e.g. in the background. This reveals the spectral content of the ambient light allowing identification of the subject's PPG signal. Heart rate, oxygen saturation and breathing rate are obtained from the PPG signal. The values can be combined into a wellness index based on a statistical analysis of the values.
Abstract translation: 通过检测由例如网络摄像机的摄像机拍摄的被摄体的图像中的PPG信号来远程监视生命体征的方法。 PPG信号通过对受试者皮肤上感兴趣区域反射的环境光的自回归分析来识别。 通过对来自感兴趣区域（不在被检者的皮肤上）反射的环境光的自动回归分析来消除由摄像机的帧速率引起的环境光和混叠伪影的频率分量。 在后台 这揭示了环境光的光谱含量，允许识别被摄体的PPG信号。 从PPG信号获得心率，氧饱和度和呼吸频率。 这些值可以根据值的统计分析结合到健康指数中。
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公开(公告)号：US20190156233A1
公开(公告)日：2019-05-23
申请号：US16239144
申请日：2019-01-03
Abstract: System monitors and methods of monitoring a system are disclosed. In one arrangement a system monitor predicts a future state of a system. A data receiving unit receives system data representing a set of one or more measurements performed on the system. A first statistical model is fitted to the system data. The first statistical model is compared to each of a plurality of dictionary entries in a database. Each dictionary entry comprises a second statistical model. The second statistical model is of the same general class as the first statistical model and obtained by fitting the second statistical model to data representing a set of one or more previous measurements performed on a system of the same type as the system being monitored and having a known subsequent state. A prediction of a future state of the system being monitored is output based on the comparison. The first statistical model and the second statistical model are each a stochastic process or approximation to a stochastic process.
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