Title :
An intelligent pattern recognition system based on neural network and wavelet decomposition for interpretation of heart sounds
Author :
Turkoglu, I. ; Arslan, A.
Author_Institution :
Tech. Educ. Fac., Firat Univ., Elazig, Turkey
Abstract :
We develop a new automated pattern recognition system for interpretation of heart sounds based on wavelet decomposition of signals and classification using neural network. Inputs to the system are the heart sound signals acquired by a stethoscope in a noiseless environment. We generate features for the objective concise representation of heart sound signals by means of wavelet decomposition. Classification of the features is performed using a back propagation neural network with adaptive learning rate. Two hundred record windows obtained from young humans are studied. One hundred of the record windows in the database are selected for use as a training phase for the neural network. The test results of the intelligent pattern recognition system for ten different types of heart sound signals displayed a high success.
Keywords :
acoustic signal processing; backpropagation; bioacoustics; cardiology; feature extraction; medical expert systems; medical signal processing; patient diagnosis; pattern classification; wavelet transforms; adaptive learning rate; automated pattern recognition system; back propagation neural network; feature classification; heart sound interpretation; intelligent pattern recognition system; neural network; noiseless environment; objective concise representation; phonocardiogram; stethoscope; training phase; wavelet decomposition; young humans; Acoustic noise; Acoustic propagation; Heart; Intelligent networks; Intelligent systems; Neural networks; Pattern recognition; Signal generators; Stethoscope; Working environment noise;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020555
