Pınar Özen

A machine learning–based framework for analyzing mitral regurgitation–related signal patterns from photoplethysmography

Abstract Objectives This study investigates the feasibility of using photoplethysmography (PPG) signals for supporting mitral regurgitation (MR) assessment and monitoring using machine learning techniques. Methods MR occurs when blood flows backward from the left ventricle to the...