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

Hau Tieng Wu, Aymen Alian, Kirk Shelley

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)637-653
Number of pages17
JournalJournal of Clinical Monitoring and Computing
Volume35
Issue number3
DOIs
StatePublished - May 2021

Keywords

  • Non-stationary signal
  • Peripheral venous pressure
  • Synchrosqueezing transform

ASJC Scopus subject areas

  • Health Informatics
  • Critical Care and Intensive Care Medicine
  • Anesthesiology and Pain Medicine

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