AUTONOMOUS FULL SPECTRUM BIOMETRIC MONITORING

    公开(公告)号:US20210219857A1

    公开(公告)日:2021-07-22

    申请号:US17301521

    申请日:2021-04-06

    Abstract: A device may obtain raw heartbeat data associated with a plurality of wavelength channels. The device may generate, based on a feature vector transformation, a plurality of feature vectors, each corresponding to a respective one of the plurality of wavelength channels. The device may identify a set of selected feature vectors, from the plurality of feature vectors, based on a plurality of squares of correlation coefficients, each associated with a respective pair of the plurality of feature vectors. The device may generate, based on a principal component analysis, an average feature vector of the set of selected feature vectors. The device may determine initial heartbeat cycle data based on the average feature vector. The device may correct heartbeat cycle gaps in the initial heartbeat cycle data in order to determine final heartbeat cycle data.

    HYDRATION ASSESSMENT USING A BINARY MULTISPECTRAL SENSOR

    公开(公告)号:US20210022663A1

    公开(公告)日:2021-01-28

    申请号:US16523167

    申请日:2019-07-26

    Abstract: A device may obtain absorption spectra data associated with tissue of a subject. The device may determine, based on the absorption spectra data, an estimate of a water content associated with the tissue. The device may determine, based on the estimate of the water content, an estimate of a hydration level of the subject. The device may perform one or more actions based on the estimate of the hydration level of the subject.

    CALIBRATION-FREE PULSE OXIMETRY
    14.
    发明申请

    公开(公告)号:US20200253517A1

    公开(公告)日:2020-08-13

    申请号:US16780412

    申请日:2020-02-03

    Abstract: A device may identify a peak timestamp and a trough timestamp based on a first principal component of photoplethysmography (PPG) data associated with a plurality of wavelength channels. The device may generate a peak absorption spectrum based on the peak timestamp and the PPG data, and may generate a trough absorption spectrum based on the trough timestamp and the PPG data. The device may determine a measured arterial blood spectrum based on the peak absorption spectrum and the trough absorption spectrum. The device may fit the arterial blood spectrum model to the measured arterial blood spectrum to determine a set of values, each value in the set of values corresponding to a variable in a set of variables. The device may calculate an arterial oxygen saturation value based on one or more values of the set of values.

    AUTONOMOUS FULL SPECTRUM BIOMETRIC MONITORING

    公开(公告)号:US20200178819A1

    公开(公告)日:2020-06-11

    申请号:US16210740

    申请日:2018-12-05

    Abstract: A device may obtain raw heartbeat data associated with a plurality of wavelength channels. The device may generate, based on a feature vector transformation, a plurality of feature vectors, each corresponding to a respective one of the plurality of wavelength channels. The device may identify a set of selected feature vectors, from the plurality of feature vectors, based on a plurality of squares of correlation coefficients, each associated with a respective pair of the plurality of feature vectors. The device may generate, based on a principal component analysis, an average feature vector of the set of selected feature vectors. The device may determine initial heartbeat cycle data based on the average feature vector. The device may correct heartbeat cycle gaps in the initial heartbeat cycle data in order to determine final heartbeat cycle data.

    CROSS-VALIDATION BASED CALIBRATION OF A SPECTROSCOPIC MODEL

    公开(公告)号:US20230349818A1

    公开(公告)日:2023-11-02

    申请号:US18345585

    申请日:2023-06-30

    CPC classification number: G01N21/274 G01J3/0275 G01N2201/129

    Abstract: A device may receive a master data set for a first spectroscopic model; receive a target data set for a target population associated with the first spectroscopic model to update the first spectroscopic model; generate a training data set that includes the master data set and first data from the target data set; generate a validation data set that includes second data from the target data set and not the master data set; generate, using cross-validation and using the training data set and the validation data set, a second spectroscopic model that is an update of the first spectroscopic model; and provide the second spectroscopic model.

    BLENDING PROCESS END POINT DETECTION
    18.
    发明公开

    公开(公告)号:US20230204417A1

    公开(公告)日:2023-06-29

    申请号:US17646038

    申请日:2021-12-27

    CPC classification number: G01J3/0275 G01J2003/2836

    Abstract: In some implementations, a device may identify, based on spectroscopic data, a pseudo steady state end point indicating an end of a pseudo steady state associated with the blending process. The device may identify a reference block and a test block from the spectroscopic data based on the pseudo steady state end point. The device may generate a raw detection signal associated with the reference block and a raw detection signal associated with the test block. The device may generate a statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block. The device may determine whether the blending process has reached a steady state based on the statistical detection signal.

    BLOOD PRESSURE ESTIMATION WITH PHOTOPLETHYSMOGRAPHY MEASUREMENT

    公开(公告)号:US20210335495A1

    公开(公告)日:2021-10-28

    申请号:US16859568

    申请日:2020-04-27

    Abstract: A device may obtain a heartbeat profile of a current subject, the heartbeat profile being based on photoplethysmography (PPG) data associated with a set of wavelength channels. The device may determine a global model including a plurality of classes, each associated with a subject identifier and a blood pressure level (BPL) identifier. The device may identify a class as a closest class to the current subject based on the heartbeat profile of the current subject. The device may identify a local subject associated with the closest class based on the subject identifier associated with the closest class. The device may generate a BPL estimation model for the current subject based on heartbeat profile data for the local subject. The device may determine a BPL estimation for the current subject based on the heartbeat profile of the current subject and using the BPL estimation model.

    REDUCED FALSE POSITIVE IDENTIFICATION FOR SPECTROSCOPIC CLASSIFICATION

    公开(公告)号:US20210034838A1

    公开(公告)日:2021-02-04

    申请号:US17072437

    申请日:2020-10-16

    Abstract: A device may receive information identifying results of a set of spectroscopic measurements of a training set of known samples and a validation set of known samples. The device may generate a classification model based on the information identifying the results of the set of spectroscopic measurements, wherein the classification model includes at least one class relating to a material of interest for a spectroscopic determination, and wherein the classification model includes a no-match class relating to at least one of at least one material that is not of interest or a baseline spectroscopic measurement. The device may receive information identifying a particular result of a particular spectroscopic measurement of an unknown sample. The device may determine whether the unknown sample is included in the no-match class using the classification model. The device may provide output indicating whether the unknown sample is included in the no-match class.

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