In this paper, we propose an efficient and robust non-contact heart rate estimation algorithm. The key idea is to recover the fundamental heartbeat frequency from its higher-order spectral features. Our contributions are threefold: 1) carefully review and examine possible approaches in vital signs detection with ultra-wide band (UWB) impulse radar; 2) numerically and experimentally show an important result that, in the spectral domain, the fundamental heartbeat signal is respiration-interference-limited, whereas its higher-order harmonics are noise-limited; and 3) implement an adaptive heart rate monitoring algorithm based on the proposed theory, which is feasible with continuous monitoring. To justify the proposed theory, we perform a spectral analysis of the harmonics of vital signs signal. We validate the proposed algorithm using a controlled vital sign simulator. We experimentally demonstrate the effectiveness of the harmonics-based heart rate estimation algorithm and compare it against existing methods. For completeness, we also provide a limitation analysis of the proposed algorithm.


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    Titel :

    Remote Sensing for Vital Information Based on Spectral-Domain Harmonic Signatures


    Beteiligte:
    Rong, Yu (Autor:in) / Bliss, Daniel W. (Autor:in)


    Erscheinungsdatum :

    2019-12-01


    Format / Umfang :

    4403602 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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