A new approach to complicated and noisy physiological waveforms analysis: peripheral venous pressure waveform as an example
We 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...
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Veröffentlicht in: | Journal of clinical monitoring and computing 2021-05, Vol.35 (3), p.637-653 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | We 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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ISSN: | 1387-1307 1573-2614 |
DOI: | 10.1007/s10877-020-00524-9 |