Effect of Filtering on Pulse Wave Transit Time Measured by Photoplethysmography

Shangdi Liao, Fei Chen, Haipeng Liu, Dingchang Zheng

    Research output: Contribution to journalConference articlepeer-review

    1 Citation (Scopus)
    2 Downloads (Pure)

    Abstract

    The waveform of a photoplethysmography (PPG) signal depends on the measurement site and individual physiological conditions. Pulse transition time (PTT) is an important physiological parameter for blood pressure estimation. PTT can be derived from electrocardiogram (ECG) and PPG waveform features. Filtering can change PPG signal waveform and the timing of PPG feature points. We aim to quantitatively investigate the filtering-induced PTT changes at different measure sites in healthy subjects of different ages. The ECG, and fingertip and earlobe PPG signals were recorded simultaneously from 58 young (age < =50) and 40 old (age > 50) healthy adults. The PPG signals were preprocessed and then filtered (low-pass, pass and stop bands: < 3 Hz and > 5Hz. The PTT difference between the preprocessed and filtered PPG signals was calculated and analyzed using analysis of variance (ANOVA) and paired tests. The results show significant effect of age and measurement site on filtering-induced PTT difference and its relative difference p < 0.05 for all). We conclude that the physiological factor including measurement site and age should be considered in PTT-based blood pressure estimation methods.

    Original languageEnglish
    Number of pages4
    JournalComputing in Cardiology
    Volume49
    DOIs
    Publication statusE-pub ahead of print - 3 Apr 2023
    Event49th Computing in Cardiology Conference - Tampere, Finland
    Duration: 4 Sept 20227 Sept 2022

    ASJC Scopus subject areas

    • Computer Science(all)
    • Cardiology and Cardiovascular Medicine

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