Classifying Abnormal Arterial Pulse Patterns in Cardiovascular Diseases: A Photoplethysmography and Machine Learning Approach

A PPG-based classification system employing k-nearest neighbors (KNN) and bagged trees (BT) algorithms that positions it as a promising, non-invasive, and cost-effective tool for diverse applications including doctor-assisted diagnosis, remote post-surgery monitoring, nursing alerts, and personalized health management.