Objective. This project compared a new method to estimate the carotidfemoral 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 subjects height only brief mode as well as along with other variables age, heart rate, arterial pressure, weight; complete mode. Doppler ultrasound cfPWVs and FPS PTTs were measured in 90 participants equally divided into 3 groups. 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 and leave-one-out cross-validation were used.
Gentilin, A., Tarperi, C., Cevese, A., Mattioli, A.V., Schena, F. (2022). Estimation of carotid-femoral pulse wave velocity from finger photoplethysmography signal. PHYSIOLOGICAL MEASUREMENT, 43(7), 1-12 [10.1088/1361-6579/ac7a8e].
Estimation of carotid-femoral pulse wave velocity from finger photoplethysmography signal
Mattioli, Anna VittoriaConceptualization
;
2022
Abstract
Objective. This project compared a new method to estimate the carotidfemoral 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 subjects height only brief mode as well as along with other variables age, heart rate, arterial pressure, weight; complete mode. Doppler ultrasound cfPWVs and FPS PTTs were measured in 90 participants equally divided into 3 groups. 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 and leave-one-out cross-validation were used.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
