DocumentCode :
1706330
Title :
Wavelet based bank of correlators approach for phonocardiogram signal classification
Author :
Raj, Sreeraman ; Doraiswami, Raj Amani ; Stevenson, Marylielen ; Watrous, Raymond
Author_Institution :
Dept. of Electr. & Comput. Eng., New Brunswick Univ., Fredericton, NB, Canada
fYear :
1998
Firstpage :
77
Lastpage :
80
Abstract :
This paper presents a methodology for detecting all the components of the phonocardiogram (PCG) signal based on a time-scale map obtained from a proposed wavelet based bank of correlators, without the aid of any additional reference signal to provide cardiac phase information. The cardiac phase information is obtained during the classification phase. The novel approach, namely the wavelet based bank of correlators approach uses the Morlet wavelets as the correlating filters. In this paper, the rationale for the choice of Morlet wavelets as the correlating filter is also developed. A complete scheme for detection and classification of PCG signals based on a simple perceptron is also presented
Keywords :
acoustic correlation; bioacoustics; cardiology; digital filters; medical signal processing; multilayer perceptrons; patient monitoring; signal classification; wavelet transforms; Morlet wavelets; PCG signals; cardiac phase information; correlating filters; detection; perceptron; phonocardiogram signal classification; time-scale map; wavelet based correlator bank; Adaptive signal processing; Correlators; Filters; Frequency; Heart; Pattern classification; Phase detection; Signal analysis; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-7803-5073-1
Type :
conf
DOI :
10.1109/TFSA.1998.721365
Filename :
721365
Link To Document :
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