A System for Heart Sounds Classification
Open Access
- 13 November 2014
- journal article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 9 (11), e112673
- https://doi.org/10.1371/journal.pone.0112673
Abstract
The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases – one of the major causes of death around the globe – a concept of an electronic stethoscope equipped with an automatic heart tone identification system appears to be the best solution. Thanks to the advancement in technology, the quality of phonocardiography signals is no longer an issue. However, appropriate algorithms for auto-diagnosis systems of heart diseases that could be capable of distinguishing most of known pathological states have not been yet developed. The main issue is non-stationary character of phonocardiography signals as well as a wide range of distinguishable pathological heart sounds. In this paper a new heart sound classification technique, which might find use in medical diagnostic systems, is presented. It is shown that by combining Linear Predictive Coding coefficients, used for future extraction, with a classifier built upon combining Support Vector Machine and Modified Cuckoo Search algorithm, an improvement in performance of the diagnostic system, in terms of accuracy, complexity and range of distinguishable heart sounds, can be made. The developed system achieved accuracy above 93% for all considered cases including simultaneous identification of twelve different heart sound classes. The respective system is compared with four different major classification methods, proving its reliability.Keywords
This publication has 27 references indexed in Scilit:
- Artificial intelligence algorithm for heart disease diagnosis using Phonocardiogram signalsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Research on the method of characteristic extraction and classification of PhonocardiogramPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Segmentation and identification of some pathological phonocardiogram signals using time-frequency analysisIET Signal Processing, 2011
- A new intelligent diagnosis system for the heart valve diseases by using genetic-SVM classifierExpert Systems with Applications, 2009
- An intelligent diagnosis system based on principle component analysis and ANFIS for the heart valve diseasesExpert Systems with Applications, 2009
- Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCG signalsComputers in Biology and Medicine, 2009
- A computer-aided MFCC-based HMM system for automatic auscultationComputers in Biology and Medicine, 2008
- A decision support system based on support vector machines for diagnosis of the heart valve diseasesComputers in Biology and Medicine, 2007
- Projections of Global Mortality and Burden of Disease from 2002 to 2030PLoS Medicine, 2006
- A cardiac sound characteristic waveform method for in-home heart disorder monitoring with electric stethoscopeExpert Systems with Applications, 2006