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Video s3
    Details
    Presenter(s)
    Katheryn Flynn Headshot
    Display Name
    Katheryn Flynn
    Affiliation
    Affiliation
    University of Virginia
    Country
    Country
    United States
    Author(s)
    Display Name
    Natalie Ownby
    Affiliation
    Affiliation
    University of Virginia
    Display Name
    Peng Wang
    Affiliation
    Affiliation
    University of Virginia
    Display Name
    Benton Calhoun
    Affiliation
    Affiliation
    University of Virginia
    Abstract

    Photoplethysmography (PPG) is used to determine blood oxygen saturation and heart rate from light reflected on patient\'s skin. Both health metrics are useful in detecting COVID-19 in asymptomatic patients but remains impacted by individual physiological differences. For wearable self-powered devices, PPG sensing is relatively high-power compared to available on-body energy. This paper presents a PPG sensing model to demonstrate circuit design tradeoffs, the impact of a patient\'s skin phototype on sensing accuracy and measured results from on-body testing.

    Slides
    • Modeling Energy-Aware Photoplethysmography Hardware for Personalized Health Care Applications Across Skin Phototypes (application/pdf)