• J Clin Monit Comput · May 2021

    A new approach to complicated and noisy physiological waveforms analysis: peripheral venous pressure waveform as an example.

    • Hau-Tieng Wu, Aymen Alian, and Kirk Shelley.
    • Department of Mathematics and Department of Statistical Science, Duke University, 140 Science Drive, Durham, NC, 27705, USA. hauwu@math.duke.edu.
    • J Clin Monit Comput. 2021 May 1; 35 (3): 637-653.

    AbstractWe introduce a recently developed nonlinear-type time-frequency analysis tool, synchrosqueezing transform (SST), to quantify complicated and noisy physiological waveform that has time-varying amplitude and frequency. We apply it to analyze a peripheral venous pressure (PVP) signal recorded during a seven hours aortic valve replacement procedure. In addition to showing the captured dynamics, we also quantify how accurately we can estimate the instantaneous heart rate from the PVP signal.

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