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Using a Motion Capture System as Reference for Motion Tracking in Photoplethysmography Imaging.

Xinchi Yu, Sonia Cruz, Joao P Batista

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
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    Motion artefacts challenge non-contact Photoplethysmography Imaging (PPGI). Feature point tracking in 2D PPGI video sequences is insufficient alone for motion robustness, requiring further waveform processing.

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    Area of Science:

    • Biomedical Engineering
    • Physiological Measurement
    • Signal Processing

    Background:

    • Photoplethysmography Imaging (PPGI) is a non-contact method for measuring physiological signals like heart rate.
    • Motion artefacts are a significant challenge for non-contact measurement techniques, including PPGI.
    • Existing algorithms aim to improve motion robustness in both 2D PPGI video frames and 1D PPGI waveforms.

    Purpose of the Study:

    • To evaluate the effectiveness of feature point tracking in 2D PPGI video sequences for motion artefact reduction.
    • To compare the performance of the KLT tracking algorithm against a motion capture system reference.
    • To assess the impact of tracking precision on the overall motion robustness of PPGI signals.

    Main Methods:

    • Developed an experimental setup using a motion capture system as a ground truth for motion.
    • Recorded 2D PPGI video sequences from ten healthy volunteers performing various movements.
    • Applied the KLT tracking algorithm to PPGI sequences and compared results with motion capture data.

    Main Results:

    • Feature point tracking in 2D PPGI video sequences alone is not sufficient for robust motion artefact reduction.
    • Tracking precision was often insufficient in most scenarios, necessitating additional processing of PPGI waveforms.
    • Analysis confirmed that tracking's impact on PPGI heart rate extraction is limited without further artifact removal.

    Conclusions:

    • Feature point tracking is a necessary but not sufficient component for motion-robust PPGI.
    • Further signal processing of 1D PPGI waveforms is crucial to mitigate motion artefacts effectively.
    • The precision of tracking directly influences the accuracy of derived physiological parameters like heart rate.