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Ultrasound-based Pulse Wave Velocity Evaluation in Mice
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Waveform Analysis for Camera-based Photoplethysmography Imaging.

Michael Paul, Xinchi Yu, Bin Wu

    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
    PubMed
    Summary

    Researchers are using everyday cameras to capture detailed blood flow information beyond simple pulse rate. This new method, camera-based photoplethysmography imaging (PPGI), maps blood vessel properties for advanced diagnostics.

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    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Physiology

    Background:

    • Classical contact-based photoplethysmography (PPG) is limited in its analysis.
    • Affordable cameras in smartphones and webcams offer potential for remote PPG signal detection.
    • Current camera-based PPG analysis is restricted to pulse rate and systolic amplitude.

    Purpose of the Study:

    • To explore generating images and video sequences from PPG waveform features not typically extracted by cameras.
    • To adapt conventional PPG algorithms for camera-based PPG imaging (PPGI).
    • To assess the feasibility of mapping PPG features to images for enhanced vascular diagnostics.

    Main Methods:

    • Utilizing an evenly spaced grid of virtual PPG sensors to extract time-series data.
    • Calculating PPG waveform features beyond standard pulse rate and amplitude.
    • Adapting existing PPG algorithms for application in PPGI.
    • Analyzing videos from lab experiments with healthy subjects.

    Main Results:

    • Demonstrated the feasibility of generating images from PPG features using camera data.
    • Preliminary results show potential for mapping vessel properties from remote PPG signals.
    • The study presents initial findings from analyzing two experimental videos.

    Conclusions:

    • Camera-based PPG imaging (PPGI) can extract richer vascular information than previously achieved.
    • Mapping extracted PPG parameters to images holds promise for enhanced vascular diagnostics.
    • Further research is warranted to validate and expand upon these preliminary findings.