SYSTEM AND METHOD FOR HEART RATE ESTIMATION
    1.
    发明申请

    公开(公告)号:US20180338727A1

    公开(公告)日:2018-11-29

    申请号:US15869207

    申请日:2018-01-12

    Abstract: Techniques for heart rate estimation are disclosed. In an embodiment, synchronized photoplethysmograph (PPG) and 3-axis acceleration signals are received. Further, the PPG and acceleration signals are partitioned into windows. Furthermore, it is determined whether motion is present in a window of the acceleration signal. Moreover, Fourier transform is performed on the signals to obtain power spectra of the signals in the window when there is motion. Also, it is determined whether a peak of the acceleration signal is present in a range around first highest PPG peak. Further, it is determined whether the peak of the acceleration signal affects heart rate of the user when the peak of the acceleration signal is in the range around the highest PPG peak. The heart rate of the user in the window is then estimated using second highest PPG peak when the peak of the acceleration signal affects heart rate of the user.

    METHOD AND SYSTEM FOR TREMOR ASSESSMENT USING PHOTOPLETHYSMOGRAPHY (PPG)

    公开(公告)号:US20210298641A1

    公开(公告)日:2021-09-30

    申请号:US17200973

    申请日:2021-03-15

    Abstract: Existing wearable device-based approaches to capture tremor signal have accuracy limitations due to usage of accelerometer sensor with inherent noisy nature. The method and system disclosed herein taps characteristics of the PPG sensor of being sensitive to the motion artefact, as an advantage, to capture tremor signal present in the PPG sensor. The method disclosed herein describes an approach to extract tremor signal of interest from the PPG signal by performing a Singular Spectrum Analysis (SSA) followed by spectrum density estimation. The SSA comprises performing embedding on the acquired PPG signal, performing Principal Component Analysis (PCA) on the embedded signal and reconstructing the rest tremor signal from the significant principal components identified post the PCA. Further, the spectrum density estimation detects a dominant frequency present in the principal components, which is the dominant frequency associated with the rest tremor.

    METHOD AND SYSTEM FOR HEART RATE ESTIMATION OF A USER

    公开(公告)号:US20210068686A1

    公开(公告)日:2021-03-11

    申请号:US17013274

    申请日:2020-09-04

    Abstract: While performing heart rate estimation of a user, if the user is in motion, measured signal is prone to have noise data, which in turn affects accuracy of estimated heart rate value. Disclosed herein is a method and system for heart rate estimation when the user is in motion. The system estimates value of a noise signal present in a measured PPG signal by performing a Principle Component Analysis (PCA) of an accelerometer signal collected along with the PPG signal. The system further estimates value of a true cardiac signal for a time window, based on value of the true cardiac signal in a pre-defined number of previous time windows. The system then estimates frequency spectrum of a clean PPG signal based on the estimated noise signal and the true cardiac signal. The system further performs heart rate estimation based on the clean PPG signal.

    SYSTEM AND METHOD OF PHOTOPLETHYSMOGRAPHY BASED HEART-RATE ESTIMATION IN PRESENCE OF MOTION ARTIFACTS

    公开(公告)号:US20210030289A1

    公开(公告)日:2021-02-04

    申请号:US16943046

    申请日:2020-07-30

    Abstract: This disclosure relates to method for estimating heart rate associated with subject in presence of plurality of motion artifacts. The method includes receiving, a photoplethysmography signal and an acceleration signal associated with the subject; learning, by principal component analysis, a projection matrix by projecting input signal into n-dimensional subspaces to obtain a plurality of principal components; selecting, at least one principal component by (a) matching a dominant frequency of the principal components obtained from the PPG signal and a dominant frequency of the principal components obtained from the accelerometer signal, by applying a Fourier transform for a spectrum estimation; and (b) computing, at least one of (i) percentage of energy contributed by the principal component of the PPG signal, (ii) percentage of energy contributed by the principal component of the accelerometer signal; and estimating, the heart rate of the subject based on the at least one selected principal component.

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