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.
- Non-stationary signal
- Peripheral venous pressure
- Synchrosqueezing transform
ASJC Scopus subject areas
- Health Informatics
- Critical Care and Intensive Care Medicine
- Anesthesiology and Pain Medicine