An Intelligent Pattern Recognition System Based on Neural Network and Wavelet Decomposition for Interpretation of Heart Sounds

Abstract

In this study, we develop a new automated pattern recognition system for interpretation of heart sound 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. With two hundred record windows obtained from young humans are studied. One hundred of the record windows in database are selected for use as training phase for neural network. In the test result of the intelligent pattern recognition system with ten different types heart sound signals are acquired a high success.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411866

Entities

People

  • A. Arslan
  • I. Turkoglu

Organizations

  • Fırat University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Signals
  • Computers
  • Data Acquisition
  • Data Sets
  • Dimensionality Reduction
  • Feature Extraction
  • Frequency
  • Identification Systems
  • Information Processing
  • Information Systems
  • Machine Learning
  • Mathematical Models
  • Neural Networks
  • Pattern Recognition
  • Recognition
  • Self Organizing Systems
  • Time Intervals

Fields of Study

  • Computer science

Readers

  • Cardiovascular Physiology
  • Computer Vision.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks