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 language | English (US) |
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Pages (from-to) | 637-653 |
Number of pages | 17 |
Journal | Journal of Clinical Monitoring and Computing |
Volume | 35 |
Issue number | 3 |
DOIs | |
State | Published - 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