Photoplethysmography Signal Processing and Synthesis

Image credit: P. Charlton (CC BY 4.0)

Abstract

This chapter presents the fundamental signal processing techniques used to analyse the photoplethysmogram (PPG) signal. The chapter starts by providing an overview of the PPG signal, covering its physiological origins, presentation, and acquisition. Fundamental signal processing techniques are then presented, covering: pre-processing techniques; analysis in the time domain; analysis in the frequency domain; the application of machine learning; and methods to estimate physiological parameters from PPG signals. Finally, the chapter provides a review of methods to synthesise PPG signals.

Publication
In Photoplethysmography, Elsevier (due Nov 2021)
  • The published version will be made available here.
  • The accepted manuscript is freely available here.
Peter Charlton
Peter Charlton
Research Fellow

Biomedical Engineer specialising in signal processing for wearables.

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