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Video s3
    Details
    Presenter(s)
    Xin Hu Headshot
    Display Name
    Xin Hu
    Affiliation
    Affiliation
    Zhejiang University
    Country
    Country
    China
    Author(s)
    Display Name
    Xin Hu
    Affiliation
    Affiliation
    Zhejiang University
    Display Name
    Yuxuan Luo
    Affiliation
    Affiliation
    Zhejiang University
    Display Name
    Yong Chen
    Affiliation
    Affiliation
    University of Macau
    Display Name
    Bo Zhao
    Affiliation
    Abstract

    In this work, we demonstrate a SpO2 monitoring technique based on flexible–window filtering, to get rid of various interferences on the PPG signals, such as ambient light scattering, reflections, and motion artifacts. The filtering window is self-adapted to the characters of the input PPG waveform, rejecting various frequency components of interferences. The proposed technique is validated by in-vivo testing on the human body through a prototype, which is also compared to the conventional fixed-window methods. Measured results show that the proposed technique achieves an average MAPE which is 46% higher than the conventional method, indicating a much stronger immunity to various interferences.

    Slides
    • A Flexible-Window Filtering Technique for Interference Suppression in SpO2 Monitoring (application/pdf)