JCS_V2_N2_RP2 Anita Devi Abhishek Misal G.R. Sinha Journal on Communication Engineering and Systems 2277-5242 2 2 23 29 Electrocardiogram (ECG), Phonocardiogram (PCG), Aortic Stenosis (AS), Aortic Regurgitation (AR), Mitral Stenosis (MS), Mitral r (MR), Discrete Wavelet Transform (DWT), Normal Heart Sound (NHS). The authors have analyzed a Bio-medical system for normal and abnormal heart sound identification based using Discrete Wavelet Transform (DWT) which is very useful in diagnosis of heart diseases. Due to the presence of sampling frequency components, the wavelets have a different decomposition level and therefore for better performance for a particular heart sound, DWT (Daubechies family) is applied up to 10 levels to extract the features for the individual heart signal. One dimensional feature extraction is obtained by evaluating the search parameters such as maximum energy, maximum variance, maximum entropy, and the analysis using these parameters provide best wavelet for determining suitable features of phonocardiaogram (PCG) signals. February - April 2013 Copyright © 2013 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=2243