Abstract

The purpose of this work is to fit Photoplethysmography (PPG) to finger Arterial Pressure (fiAP) waveform using derivative approaches. Derivative approaches consider using Linear Combination of Derivatives (LCD) and Fractional Derivatives (FDPα). Four informed healthy subjects, aging 35.8 ± 11.0 years old, agreed to perform Handgrip maneuvers. Signals are recorded continually; a Finapres NOVA device is used for fiAP, while a BIOPAC System is used for PPG and ECG. PPG is smoothed and segmented by heartbeat; recording sections interfered with spiky blocking noise, are eliminated. Finally, PPG is processed using LCD and FDPα and their results are enriched using Lasso technique. Twenty records per subject at rest and twenty at raised BP are analyzed. Results show PPG to fiAP fitting errors 5.38% ± 0.91 at resting fiAP and 5.86% ± 1.21 at raised fiAP, being always lower than 15%, suggesting that derivative approaches could be suitable for medical applications.