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Segmentation and classification of heart sounds

Gupta, C.N., Palaniappan, Ramaswamy, Rajan, S., Swaminathan, S., Krishnan, S.M. (2005) Segmentation and classification of heart sounds. In: Proceedings of the Canadian Conference on Electrical and Computer Engineering 2005. 2005. pp. 1678-1681. IEEE ISBN 0-7803-8885-2. (doi:10.1109/CCECE.2005.1557305) (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
http://dx.doi.org/10.1109/CCECE.2005.1557305

Abstract

An algorithm for segmentation of heart sounds (HSs) into a single cardiac cycle (S 1-Systole-S 2-Diastole) using homomorphic filtering and k-means clustering and a three way classification of heart sounds into Normal (N), Systolic murmur (S), and Diastolic murmur (D), based on neural networks is developed. This algorithm does not require additional reference signal such as ECG signal. Feature vectors are formed after segmentation by using Daubechies-2 wavelet detail coefficients at the second decomposition level. Redundant features are removed using principal component analysis (PCA). Multilayer perceptron-Backpropagation neural network (MLP-BP) is used for classification of three different HSs. A classification accuracy of 94.5% and a segmentation accuracy (or performance) of 90.45% was achieved; thus, demonstrating that segmentation and classification of heart sounds without the aid of reference signal is achievable.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/CCECE.2005.1557305
Additional information: Unmapped bibliographic data: C7 - 1557305 [EPrints field already has value set] LA - English [Field not mapped to EPrints] J2 - Can Conf Electr Comput Eng [Field not mapped to EPrints] AD - Biomedical Engineering Research Center, School of EEE, Nanyang Technological University, Singapore, Singapore [Field not mapped to EPrints] AD - Department of Computer Science, University of Essex, Colchester, United Kingdom [Field not mapped to EPrints] AD - Defence R and D Canada, Ottawa, Canada [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] C3 - Canadian Conference on Electrical and Computer Engineering [Field not mapped to EPrints]
Uncontrolled keywords: Classification of murmurs, Heart sounds, Homomorphic segmentation, Phonocardiogram signals, Prinicipal component analysis, Wavelet transform, Heart sounds, Homomorphic segmentation, Phonocardiogram signals, Segmentation accuracy, Algorithms, Cardiology, Data structures, Electrocardiography, Neural networks, Principal component analysis, Wavelet transforms, Image segmentation
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 19:12 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70745 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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