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公开(公告)号：EP3229676B1
公开(公告)日：2019-06-12
申请号：EP15808020.0
申请日：2015-12-08
申请人： Oxehealth Limited
发明人： GUAZZI, Alessandro
IPC分类号： A61B5/0295 , A61B5/00 , A61B5/026 , G06T7/00 , A61B5/08 , G06K9/46 , A61B5/0205 , A61B5/024 , A61B5/11 , A61B5/113
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公开(公告)号：EP3405105A1
公开(公告)日：2018-11-28
申请号：EP17701586.4
申请日：2017-01-23
申请人： Oxehealth Limited
摘要： A method and apparatus for estimating heart rate of a subject from a video image of the subject. Regions of interest are generated by: detecting and tracking feature points through the video image sequence, triangulating the feature points and generating square regions of interest corresponding to the in-circles of the triangles; or, according to size and location probability distributions which are defined to have a high probability for image areas away from strong intensity gradients and which generate good quality signals. In an alternative embodiment, the intensity variations from the square regions of interest through the frame sequence are taken as time series signals and those signals which have a strong peak in the power spectrum are selected and subject to principal component analysis. The principal component with a highest signal quality is selected and its frequency is found and used to estimate the heart rate.
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3.发明公开
公开(公告)号：EP3678093A1
公开(公告)日：2020-07-08
申请号：EP19220087.1
申请日：2019-12-30
申请人： Oxehealth Limited
IPC分类号： G06T7/00 , G06T7/20 , A61B5/11 , A61B5/0205 , G08B21/04 , G06K9/00 , A61B5/00 , A61B5/024 , A61B5/08
摘要： A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for decorrelating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.
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公开(公告)号：EP3405110A1
公开(公告)日：2018-11-28
申请号：EP17701572.4
申请日：2017-01-19
申请人： Oxehealth Limited
摘要： A method and apparatus for extracting a breathing rate estimate from video images of a respiring subject. Signals corresponding to the spatial coordinates of feature points tracked through the video sequence are filtered and excessively large changes are attenuated to reduce movement artefacts. The signals are differentiated and signals which correlate most strongly with other signals are selected. The selected signals are subject to principal component analysis and the best quality of the top five principal components is selected and its frequency is used to calculate and output a breathing rate estimate. The method is particularly suitable for detecting respiration in subject in secure rooms where the video image is of substantially the whole room and the subject is only a small part of the image, and maybe covered or uncovered.
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公开(公告)号：EP3229676A1
公开(公告)日：2017-10-18
申请号：EP15808020.0
申请日：2015-12-08
申请人： Oxehealth Limited
发明人： GUAZZI, Alessandro
IPC分类号： A61B5/0295 , A61B5/00 , A61B5/026 , G06T7/00 , A61B5/08 , G06K9/46 , A61B5/0205
CPC分类号： A61B5/7278 , A61B5/0075 , A61B5/0077 , A61B5/0205 , A61B5/02427 , A61B5/0261 , A61B5/0295 , A61B5/0816 , A61B5/1102 , A61B5/1128 , A61B5/113 , A61B5/6898 , A61B5/7203 , A61B5/7246 , A61B5/7253 , A61B5/7257 , A61B2562/0233 , A61B2576/00 , G06K9/4652
摘要： Autoregressive modelling is used to identify periodic physiological signals such as heart rate or breathing rate in an image of a subject. The colour channels of a video signal are windowed and normalised by dividing each signal by its mean. The ratios of the normalised channels to each other are found and principal component analyses conducted on the ratio signals. The most periodic of the principal components is selected and autoregressive models of one or more different orders are fitted to the selected component. Poles of the fitted autoregressive models of different orders are taken and pure sinusoids corresponding to the frequency of each pole are generated and their cross-correlation with the original component is found. Whichever pole corresponds to the sinusoid with the maximum cross-correlation is selected as the best estimate of the frequency of periodic physiological information in the original video signal. The method may be used in a patient monitor or in a webcam-enabled device such as a tablet computer or smart phone.
摘要翻译： 自回归建模用于识别周期性生理信号，如受试者图像中的心率或呼吸频率。 视频信号的颜色通道被窗口化并通过将每个信号除以其平均值而归一化。 找到归一化信道相互之间的比率，并对比率信号进行主要分量分析。 选择最周期的主成分，并将一个或多个不同顺序的自回归模型拟合到选定的成分。 得到不同阶数的拟合自回归模型的极点，并生成与每个极点频率相对应的纯正弦曲线，并找到它们与原始分量的互相关。 无论哪一极对应于具有最大互相关的正弦曲线都被选择为原始视频信号中的周期性生理信息的频率的最佳估计。 该方法可以用于患者监视器中或诸如平板电脑或智能电话的启用摄像头的设备中。
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公开(公告)号：EP3678094A1
公开(公告)日：2020-07-08
申请号：EP19220091.3
申请日：2019-12-30
申请人： Oxehealth Limited
IPC分类号： G06T7/00 , G06T7/20 , A61B5/0205 , A61B5/11 , A61B5/00 , G06K9/00 , G08B21/04 , A61B5/024 , A61B5/08
摘要： A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for decorrelating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.
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公开(公告)号：EP3536234A1
公开(公告)日：2019-09-11
申请号：EP19158085.1
申请日：2019-02-19
申请人： Oxehealth Limited
摘要： A method and an apparatus for monitoring a human or animal subject in a room use video imaging of the subject and analysis of the video image to derive an estimate of vital signs such as heart rate or breathing rate. The method includes determination of whether the subject in the images is still or moving, and whether any of the regions from which vital signs are being detected are not on the subject. The subject's movement may be manually or automatically detected, and the determination of whether regions from which vital signs are being detected are not on the subject can be input manually, by displaying the regions to the user in a visually distinguishable manner, or automatically. Vital signs measurements are only displayed if the subject is determined as being still and if there are no regions in the image which are returning vital signs signals but are not determined as being on the subject.
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公开(公告)号：EP3395237A1
公开(公告)日：2018-10-31
申请号：EP18168310.3
申请日：2018-04-19
申请人： Oxehealth Limited
CPC分类号： G06K9/00845 , A61B5/0077 , A61B5/02416 , A61B5/18 , A61B5/6893 , A61B5/7207 , A61B5/7485 , G06K9/00261 , G06K9/00744 , G06T5/003 , G06T7/0016 , G06T7/248 , G06T2207/10016 , G06T2207/20201 , G06T2207/30076 , G06T2207/30196 , G06T2207/30268
摘要： In a method of video monitoring of a subject, for example a driver of a vehicle, the video image is motion compensated by image registration techniques so that the subject's position in each frame of the video image is stable. A region of interest is defined on the skin of the subject and used to obtain a PPG signal. To compensate for variations in illumination of the subject caused by the subject's movement in the vehicle, the parameters of the calculated motion transformation used in the image registration are used to form an illumination model representing how the illumination of the subject would have changed because of the subject's motion. The illumination model is a linear or quadratic function fitted to the image intensity in the region of interest. Residuals between the fitted model and the image intensity form an illumination-compensated signal in which the photoplethysmographic signal is more clearly present. The illumination-compensated signal is analysed to obtain a PPG signal and from this estimates of one or more vital signs such as heart rate or breathing rate are obtained.
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9.发明公开
公开(公告)号：EP4336465A3
公开(公告)日：2024-06-19
申请号：EP23211130.2
申请日：2019-12-30
申请人： Oxehealth Limited
CPC分类号： G06T7/0016 , G06T2207/3007620130101 , G06T2207/3023220130101 , G06T2207/3019620130101 , A61B5/6888 , A61B5/6889 , A61B5/7264 , A61B5/1113 , A61B5/1128 , A61B5/0205 , A61B5/02416 , A61B5/0816 , A61B5/1116 , A61B5/4094 , A61B5/746 , G06T7/20 , G06T2207/1002420130101 , G06T2207/1004820130101 , G08B21/0415 , G08B21/0476 , G06V40/15 , G06V20/52
摘要： A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for decorrelating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.
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10.发明公开
公开(公告)号：EP4336465A2
公开(公告)日：2024-03-13
申请号：EP23211130.2
申请日：2019-12-30
申请人： Oxehealth Limited
IPC分类号： G06V20/52
摘要： A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for decorrelating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.
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