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Updated: Dec 18, 2025

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
Published on: December 10, 2014
A new approach to complicated and noisy physiological waveforms analysis: peripheral venous pressure waveform as an
Hau-Tieng Wu1,2, Aymen Alian3, Kirk Shelley4
1Department of Mathematics and Department of Statistical Science, Duke University, 140 Science Drive, Durham, NC, 27705, USA. hauwu@math.duke.edu.
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.
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