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Neural network classification of homomorphic segmented heart sounds

Gupta, C.N., Palaniappan, Ramaswamy, Swaminathan, S., Krishnan, S.M. (2007) Neural network classification of homomorphic segmented heart sounds. Applied Soft Computing, 7 (1). pp. 286-297. ISSN 1568-4946. (doi:10.1016/j.asoc.2005.06.006) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1016/j.asoc.2005.06.006

Abstract

A novel method for segmentation of heart sounds (HSs) into single cardiac cycle (S1-Systole-S2-Diastole) using homomorphic filtering and K-means clustering is presented. Feature vectors were formed after segmentation by using Daubechies-2 wavelet detail coefficients at the second decomposition level. These feature vectors were then used as input to the neural networks. Grow and Learn (GAL) and Multilayer perceptron-Backpropagation (MLP-BP) neural networks were used for classification of three different HSs (Normal, Systolic murmur and Diastolic murmur). It was observed that the classification performance of GAL was similar to MLP-BP. However, the training and testing times of GAL were lower as compared to MLP-BP. The proposed framework could be a potential solution for automatic analysis of HSs that may be implemented in real time for classification of HSs.

Item Type: Article
DOI/Identification number: 10.1016/j.asoc.2005.06.006
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - Appl. Soft Comput. J. [Field not mapped to EPrints] AD - Biomedical Engineering Research Center, Nanyang Technological University, Singapore [Field not mapped to EPrints] AD - Department of Computer Science, University of Essex, Colchester, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Article [Field not mapped to EPrints]
Uncontrolled keywords: Grow and Learn neural network, K-means clustering, Multilayer perceptron-Backpropagation neural network, Phonocardiogram signals, Segmentation of heart sounds, Wavelet transform, Acoustics, Backpropagation, Cardiology, Image segmentation, Neural networks, Vector quantization, Wavelet transforms, Grow and Learn neural networks, K-means clustering, Multilayer perceptron-Backpropagation neural networks, Phonocardiogram signals, Segmentation of heart sounds, Classification (of information)
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 18:09 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70727 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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