Coronary Artery Disease Detection using Photoplethysmography

Neeraj Paradkar, Shubajit Roy Chowdhury1

  • 1Indian Institute of Technology Mandi

Details

Category

Contributed Papers (Oral)

Theme

5. Cardiovascular and Respiratory Systems Engineering

Sessions

08:00 - 09:30 | Wed 12 Jul | Greatbatch Room | WeAT11

PPG Signal Analysis

Abstract

This paper presents a technique for coronary artery disease (CAD) detection through photoplethysmography (PPG). This work is aimed at developing a non-invasive, inexpensive screening technique suitable for home monitoring. Time domain analysis of PPG signal and its second derivative has been carried out to extract distinguishing features. Support Vector Machine based classifier has been used to classify CAD patients. ICU patient data from MIMIC-II dataset has been used for performance evaluation. Sensitivity of 85% and specificity of 78% has been achieved for the analyzed data.

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