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: Source Type: research