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Journal of Clinical Monitoring and Computing
Published in: Journal of Clinical Monitoring and Computing 3/2021

01-05-2021 | Original Research

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

Authors: Hau-Tieng Wu, Aymen Alian, Kirk Shelley

Published in: Journal of Clinical Monitoring and Computing | Issue 3/2021

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Abstract

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.
Footnotes
1
When we are concerned with the statistical properties, the stationarity is defined to have a zero mean and the covariance between any two time points only depends on the time difference. We do not pursue this kind of stationarity in this work.
 
2
The power spectrum is usually defined as the magnitude squared of the Fourier transform of a given signal. In this paper, to avoid the normalization issue, we call the magnitude of the Fourier transform of a given signal the power spectrum.
 
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Metadata
Title
A new approach to complicated and noisy physiological waveforms analysis: peripheral venous pressure waveform as an example
Authors
Hau-Tieng Wu
Aymen Alian
Kirk Shelley
Publication date
01-05-2021
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 3/2021
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-020-00524-9

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