Title :
A feature extraction algorithm based on wavelet packet decomposition for heart sound signals
Author_Institution :
Lab. of Signal Process. & Comput. Technol., Helsinki Univ. of Technol., Espoo
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;
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
DOI :
10.1109/TFSA.1998.721369
