Autonomous full spectrum biometric monitoring

    公开(公告)号:US11547310B2

    公开(公告)日:2023-01-10

    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.

    Calibration-free pulse oximetry
    3.
    发明授权

    公开(公告)号:US11331017B2

    公开(公告)日:2022-05-17

    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.

    Baseline correction and extraction of heartbeat profiles

    公开(公告)号:US12220214B2

    公开(公告)日:2025-02-11

    申请号:US18507273

    申请日:2023-11-13

    Abstract: A device may determine end-of-phase information for a plurality of wavelength channels of photoplethysmography (PPG) data. The device may calculate a set of baseline correction points for each wavelength channel of the plurality of wavelength channels. The set of baseline correction points may be calculated based on end-of-phase information for a wavelength channel of the plurality of wavelength channels and PPG data associated with the wavelength channel. The device may perform a baseline correction for each wavelength channel of the plurality of wavelength channels. A baseline correction may be performed for the wavelength channel based on the set of baseline correction points associated with the wavelength channel and the PPG data associated with the wavelength channel. The device may generate a baseline corrected heartbeat profile using a principal component analysis of a result of baseline correcting each wavelength channel of the plurality of wavelength channels.

    Rolling principal component analysis for dynamic process monitoring and end point detection

    公开(公告)号:US12188820B2

    公开(公告)日:2025-01-07

    申请号:US18429532

    申请日:2024-02-01

    Abstract: In some implementations, a device may receive spectroscopic data associated with a dynamic process. The device may generate a principal component analysis (PCA) model based on a first block of spectra from the spectroscopic data. The device may project a second block of spectra from the spectroscopic data to the PCA model generated based on the first block of spectra. The device may determine a value of a metric associated with the second block based on projecting the second block of spectra to the PCA model. The device may determine whether the dynamic process has reached an end point based on the value of the metric associated with the second block.

    Blending process end point detection

    公开(公告)号:US11860035B2

    公开(公告)日:2024-01-02

    申请号:US17646038

    申请日:2021-12-27

    CPC classification number: G01J3/0275 G01J2003/2833 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.

    Focusing linear model correction and linear model correction for multivariate calibration model maintenance

    公开(公告)号:US11561166B2

    公开(公告)日:2023-01-24

    申请号:US17249572

    申请日:2021-03-05

    Abstract: A device may obtain a master beta coefficient of a master calibration model associated with a master instrument. The master beta coefficient may be at a grid of a target instrument. The device may perform constrained optimization of an objective function, in accordance with a set of constraints, in order to determine a pair of transferred beta coefficients. The constrained optimization may be performed based on an initial pair of transferred beta coefficients, the master beta coefficient, and spectra associated with a scouting set. The device may determine, based on the pair of transferred beta coefficients, a transferred beta coefficient. The device may determine a final transferred beta coefficient based on a set of transferred beta coefficients including the transferred beta coefficient. The final transferred beta coefficient may be associated with generating a transferred calibration model, corresponding to the master calibration model, for use by the target instrument.

    Autonomous full spectrum biometric monitoring

    公开(公告)号:US11000198B2

    公开(公告)日:2021-05-11

    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.

    IDENTIFICATION USING SPECTROSCOPY
    10.
    发明申请

    公开(公告)号:US20190257746A1

    公开(公告)日:2019-08-22

    申请号:US16405050

    申请日:2019-05-07

    Abstract: A device may receive information identifying results of a spectroscopic measurement of an unknown sample. The device may perform a first classification of the unknown sample based on the results of the spectroscopic measurement and a global classification model. The device may generate a local classification model based on the first classification. The device may perform a second classification of the unknown sample based on the results of the spectroscopic measurement and the local classification model. The device may provide information identifying a class associated with the unknown sample based on performing the second classification.

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