A feature extraction algorithm based on wavelet packet decomposition for heart sound signals

Author

Liang, Hongjing

Author_Institution

Lab. of Signal Process. & Comput. Technol., Helsinki Univ. of Technol., Espoo

fYear

1998

Firstpage

93

Lastpage

96

Abstract

In this paper, a feature extraction algorithm based on the wavelet packet decomposition (WPD) method was developed for the heart sound signals. Feature vectors obtained were used to classify the heart sound signals into physiological and pathological murmurs. The classification using a neural network method indicated a 85 percent accuracy. This could be an effective assistance for medical doctors to make their final diagnoses

Keywords

acoustic signal processing; bioacoustics; cardiology; feature extraction; medical signal processing; neural nets; patient diagnosis; signal classification; WPD method; classification; diagnoses; feature extraction algorithm; feature vectors; heart sound signals; neural network method; pathological murmurs; physiological murmurs; wavelet packet decomposition; Cardiology; Electrocardiography; Feature extraction; Frequency; Heart; Pathology; Signal processing; Signal processing algorithms; Testing; Wavelet packets;

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.1998.721369

Filename

721369