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 language | English |
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Number of pages | 4 |
Journal | Computing in Cardiology |
Volume | 49 |
Early online date | 3 Apr 2023 |
DOIs | |
Publication status | E-pub ahead of print - 3 Apr 2023 |
Event | 49th Computing in Cardiology Conference - Tampere, Finland Duration: 4 Sept 2022 → 7 Sept 2022 |
ASJC Scopus subject areas
- General Computer Science
- Cardiology and Cardiovascular Medicine