Low frequency variability in photoplethysmography and autonomic function assessment

John Allen, Fei Chen

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    5 Citations (Scopus)

    Abstract

    The photoplethysmography (PPG) signal is composite in nature. It has low frequency (“DC”) components relating to respiration, vasomotion, blood pressure control, endothelial function and thermoregulation, as well as the high frequency components relating to the heart synchronous (“AC”) pulse waveform. There is a growing interest in the “DC” characteristics, their measurement at different sites across the body when made at rest or in response to a physiological challenge, and subsequent signal analysis methods. This chapter also considers beat-to-beat blood pressure tracking as well as pulse rate variability, and overviews a range of clinical applications including cardiovascular assessment, sleep science, pregnancy and maternity, pain, mental health and wellbeing, neurophysiological assessment, and studies in unique and challenging situations such as space and military research.

    Original languageEnglish
    Title of host publicationPhotoplethysmography
    Subtitle of host publicationTechnology, Signal Analysis and Applications
    EditorsPanicos Kyriacou, John Allen
    PublisherElsevier
    Chapter8
    Pages277-318
    Number of pages42
    ISBN (Electronic)9780128233740
    ISBN (Print)9780128235256
    DOIs
    Publication statusPublished - 1 Nov 2021

    Keywords

    • Autonomic
    • Blood pressure
    • Cardiovascular oscillation
    • Diabetes
    • Microcirculation
    • PPG
    • Photoplethysmography
    • Pulse wave analysis
    • Systemic sclerosis
    • Vascular optics
    • Vasomotion

    ASJC Scopus subject areas

    • Engineering(all)
    • Computer Science(all)

    Fingerprint

    Dive into the research topics of 'Low frequency variability in photoplethysmography and autonomic function assessment'. Together they form a unique fingerprint.

    Cite this