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 20% of the deaths in the European Union. Since established diagnostic methods, such as coronary angiography and exercise tests, are costly and time consuming, a fast and low cost non-invasive diagnostic method will provide new diagnostic opportunities. 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. Advances in computer and acoustic technology have facilitated the automated detection and analysis of diastolic heart sounds from which a risk assessment of CAD is calculated. In the existing system, the system shown that heart sounds 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. Since the current literature is inconsistent in regards to frequency bands and features to analyze, the focus of the current study is to analyze and compare a wide range of features extracted from several frequency bands of heart sound recordings. 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.