JFET_V4_N3_RP3 Vijay S. Chourasia A.K. Mittra Journal on Future Engineering and Technology 2230 – 7184 4 3 23 29 Phonocardiography, Wavelets, De-noising, Fetal Heart Rate This paper is aimed at the selection of suitable wavelet family and hence suitable mother wavelet for the analysis of Fetal Phonocardiographic (fPCG) signals. Fourier based analyzing tools have some limitations concerning frequency and time resolutions. Although Wavelet Transform (WT) overcomes these limitations, it requires proper selection of mother wavelet. In this study the suitable mother wavelet is selected on the basis of properties of different wavelet families and characteristics of the fPCG signals. The Mean Squared Error (MSE) is used to evaluate the performance of the presented approach. The results show that, the fourth order Coiflets wavelet has a better performance for the analysis of fPCG signals when using the rigorous SURE threshold algorithm with soft thresholding rule. The proposed approach is simple and proves to be effective when applied for the selection of suitable mother wavelet for analysis of the fPCG signals. These de-noised signals can be used for the accurate determination of Fetal Heart Rate (FHR) and further diagnostic applications of the fetus. February - April 2009 Copyright © 2009 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=276