Coronary Artery Disease Identification Using Acoustic Features Based on QDA

Optimizing risk assessment may reduce use of advanced diagnostic testing in patients with symptoms suggestive of stable coronary artery disease (CAD). Detection of diastolic murmurs from post-stenotic coronary turbulence with an acoustic sensor placed on the chest wall can serve as an easy, safe, and low-cost supplement to assist in the diagnosis of CAD. Coronary artery disease (CAD) accounts for approximately 30% of the deaths in the European Union. The detection of diastolic murmurs from post-stenosis coronary turbulence reported already proposed for safe, cost-effective, and easy non-invasive evaluation of patients with suspected CAD. In the existing system, the system shown that heart sound contain weak murmurs caused by turbulent flow in the coronary arteries, and that those murmurs are indicators of CAD. In this project the system proposed a method for noninvasive detection of CAD with a commercially available electronic stethoscope. Three different approaches were used for analyses of the frequency distribution of the diastole periods: parametric spectral modeling, instantaneous frequency and the power in third octave frequency bands. using the quadrature discreminant analysis identifying the CAD.