On Non-Invasive Measurement of Gastric Motility from Finger Photoplethysmographic Signal

摘要: This article investigates the possibility of extracting gastric motility (GM) information from finger photoplethysmographic (PPG) signals non-invasively. Now-a-days measuring GM is a challenging task because invasive and complicated clinical procedures involved. It well-known that PPG signal acquired consists related to heart rate respiratory rate. thread taken further effort has been put here find whether it possible extract in an easier way without discomfort patients. Finger (measured using Electrogastrogram, EGG) were simultaneously at 100 Hz eight healthy subjects for 30 min duration fasting postprandial states. In this study, we process slow wave analogous actual EGG signal. To end, chose two advanced processing approaches: first, perform discrete wavelet transform (DWT) separate different components, since are non-stationary nature. Second, frequency domain, cross-spectral coherence analysis autoregressive (AR) spectral estimation method order compare details recorded signals. DWT, lower oscillation (≈0.05 Hz) called was extracted which looks similar both shape range (0–0.1953) Hz. Comparison these done by normalized cross-correlation technique. Cross-correlation values found be high (range 0.68–0.82, SD 0.12, R = 1.0 indicates exact agreement, p < 0.05) all there no significant difference between The results demonstrate moderate 0.5–0.7, 0.13, exists “slow wave” band, any change level state. These indicate contains GM-related information. findings sufficiently encouraging motivate exploration as non-invasive source