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公开(公告)号:US11337626B2
公开(公告)日:2022-05-24
申请号:US17247176
申请日:2020-12-02
发明人: Kang Lee , Evgueni Kabakov , Phil Levy
IPC分类号: A61B5/1455 , A61B5/00 , A61B5/021 , A61B5/0205 , A61B5/026 , A61B5/145 , G16H50/20 , G16H40/63 , G16H50/30 , A61B5/08 , A61B5/024
摘要: A system and method for contactless blood pressure determination. The method includes: receiving a captured image sequence; determining, using a trained hemoglobin concentration (HC) changes machine learning model, bit values from a set of bitplanes in the captured image sequence that represent the HC changes of the subject; determining a blood flow data signal; extracting one or more domain knowledge signals associated with the determination of blood pressure; building a trained blood pressure machine learning model with a blood pressure training set, the blood pressure training set including the blood flow data signal of the one or more predetermined ROIs and the one or more domain knowledge signals; determining, using the blood pressure machine learning model trained with a blood pressure training set, an estimation of blood pressure; and outputting the determination of blood pressure.
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公开(公告)号:US10448847B2
公开(公告)日:2019-10-22
申请号:US16153214
申请日:2018-10-05
发明人: Kang Lee , Evgueni Kabakov , Phil Levy
IPC分类号: G06K9/00 , A61B5/024 , G06N20/00 , A61B5/026 , A61B5/1455 , G16H30/40 , G16H50/20 , A61B5/0255 , A61B5/00 , G06T7/00 , A61B5/145
摘要: A system and method for camera-based heart rate tracking. The method includes: determining bit values from a set of bitplanes in a captured image sequence that represent the HC changes; determining a facial blood flow data signal for each of a plurality of predetermined regions of interest (ROIs) of the subject captured by the images based on the HC changes; applying a band-pass filter of a passband approximating the heart rate to each of the blood flow data signals; applying a Hilbert transform to each of the blood flow data signals; adjusting the blood flow data signals from revolving phase-angles into linear phase segments; determining an instantaneous heart rate for each the blood flow data signals; applying a weighting to each of the instantaneous heart rates; and averaging the weighted instantaneous heart rates.
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公开(公告)号:US10888256B2
公开(公告)日:2021-01-12
申请号:US16406665
申请日:2019-05-08
发明人: Kang Lee , Evgueni Kabakov , Phil Levy
IPC分类号: A61B5/1455 , A61B5/00 , A61B5/021 , A61B5/0205 , A61B5/026 , A61B5/145 , G16H50/20 , G16H40/63 , G16H50/30 , A61B5/08 , A61B5/024
摘要: A system and method for contactless blood pressure determination. The method includes: receiving a captured image sequence; determining, using a trained hemoglobin concentration (HC) changes machine learning model, bit values from a set of bitplanes in the captured image sequence that represent the HC changes of the subject; determining a blood flow data signal; extracting one or more domain knowledge signals associated with the determination of blood pressure; building a trained blood pressure machine learning model with a blood pressure training set, the blood pressure training set including the blood flow data signal of the one or more predetermined ROIs and the one or more domain knowledge signals; determining, using the blood pressure machine learning model trained with a blood pressure training set, an estimation of blood pressure; and outputting the determination of blood pressure.
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公开(公告)号:US10117588B2
公开(公告)日:2018-11-06
申请号:US15923242
申请日:2018-03-16
发明人: Kang Lee , Evgueni Kabakov , Phil Levy
IPC分类号: G06K9/00 , A61B5/024 , A61B5/026 , A61B5/1455 , G06F15/18 , G16H30/40 , G16H50/20 , A61B5/0255 , G06T7/00 , A61B5/00 , A61B5/145
摘要: A system and method for camera-based heart rate tracking. The method includes: determining bit values from a set of bitplanes in a captured image sequence that represent the HC changes; determining a facial blood flow data signal for each of a plurality of predetermined regions of interest (ROIs) of the subject captured by the images based on the HC changes; applying a band-pass filter of a passband approximating the heart rate to each of the blood flow data signals; applying a Hilbert transform to each of the blood flow data signals; adjusting the blood flow data signals from revolving phase-angles into linear phase segments; determining an instantaneous heart rate for each the blood flow data signals; applying a weighting to each of the instantaneous heart rates; and averaging the weighted instantaneous heart rates.
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公开(公告)号:US10702173B2
公开(公告)日:2020-07-07
申请号:US16505834
申请日:2019-07-09
发明人: Kang Lee , Evgueni Kabakov , Phil Levy
IPC分类号: G06K9/00 , A61B5/024 , G06N20/00 , A61B5/1455 , G16H30/40 , G16H50/20 , A61B5/026 , A61B5/0255 , A61B5/00 , G06T7/00 , A61B5/145
摘要: A system and method for camera-based heart rate tracking. The method includes: determining bit values from a set of bitplanes in a captured image sequence that represent the HC changes; determining a facial blood flow data signal for each of a plurality of predetermined regions of interest (ROIs) of the subject captured by the images based on the HC changes; applying a band-pass filter of a passband approximating the heart rate to each of the blood flow data signals; applying a Hilbert transform to each of the blood flow data signals; adjusting the blood flow data signals from revolving phase-angles into linear phase segments; determining an instantaneous heart rate for each the blood flow data signals; applying a weighting to each of the instantaneous heart rates; and averaging the weighted instantaneous heart rates.
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公开(公告)号:US10376192B2
公开(公告)日:2019-08-13
申请号:US15923225
申请日:2018-03-16
发明人: Kang Lee , Evgueni Kabakov , Phil Levy
IPC分类号: A61B5/1455 , A61B5/00 , A61B5/021 , A61B5/0205 , A61B5/026 , A61B5/145 , G16H50/20 , G16H40/63 , G16H50/30 , A61B5/08 , A61B5/024
摘要: A system and method for contactless blood pressure determination. The method includes: receiving a captured image sequence; determining, using a trained hemoglobin concentration (HC) changes machine learning model, bit values from a set of bitplanes in the captured image sequence that represent the HC changes of the subject; determining a blood flow data signal; extracting one or more domain knowledge signals associated with the determination of blood pressure; building a trained blood pressure machine learning model with a blood pressure training set, the blood pressure training set including the blood flow data signal of the one or more predetermined ROIs and the one or more domain knowledge signals; determining, using the blood pressure machine learning model trained with a blood pressure training set, an estimation of blood pressure; and outputting the determination of blood pressure.
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