Estimation of carotid-femoral pulse wave velocity from finger photoplethysmography signal
Objective . This project compared a new method to estimate the carotid-femoral pulse wave velocity
(cf-PWV) to the gold-standard cf-PWV technique. Approach . The cf-PWV was estimated from the pulse
transit time (FPS-PTT) calculated by processing the finger photoplethysmographic signal of Finapres
(FPS) and subject's height only (brief mode) as well as along with other variables (age, heart rate,
arterial pressure, weight; complete mode). Doppler ultrasound cf-PWVs and FPS-PTTs were measured in
90 participants equally divided into 3 groups (18 –30; 31–59; 60–79 years). Predictions were
performed using multiple linear regressions (MLR) and with the best regression model identified by
using MATLAB Regression Learner App. A validation set approach (60 training datasets, 30 testing
datasets; VSA) and leave-one-out cross-validation (LOOCV) were used. Main results . With MLR, the
discrepancies were: 0.01 ± 1.21 m s −1 (VSA) and 0.001 ± 1.11 m s −1 (LOOCV) in brief mode; −0.02 ±
0.83 m s −1 (VSA) and 0.001 ± 0.84 m s −1 (LOOCV) in complete mode. Using a linear support vector
machine model (SVM) in brief mode, the discrepancies were: 0.01 ± 1.19 m s −1 (VSA) and −0.01 ± 1.06
m s −1 (LOOCV). Using an Exponential Gaussian process regression model (GPR) in complete mode, the
discrepancies were: −0.03 ± 0.79 m s −1 (VSA) and 0.01 ± 0.75 m s −1 (LOOCV). Significance . The
cf-PWV can be estimated by processing the FPS-PTT and subjects' heigh...
Source: Physiological Measurement - Category: Physiology Authors: Alessandro Gentilin, Cantor Tarperi, Antonio Cevese, Anna Vittoria Mattioli and Federico Schena Source Type: research
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