Multi-level basis selection of wavelet packet decomposition tree for heart sound classification.

Wavelet packet transform decomposes a signal into a set of orthonormal bases (nodes) and provides opportunities to select an appropriate set of these bases for feature extraction. In this paper, multi-level basis selection (MLBS) is proposed to preserve the most informative bases of a wavelet packet...

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Main Authors: Safara, Fatemeh, C. Doraisamy, Shyamala, Azman, Azreen, Jantan, Azrul, Abdullah Ramaiah, Asri Ranga
Format: Article
Language:English
English
Published: Elsevier 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30560/
http://psasir.upm.edu.my/id/eprint/30560/1/Multi-level%20basis%20selection%20of%20wavelet%20packet%20decomposition%20tree%20for%20heart%20sound%20classification..pdf
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author Safara, Fatemeh
C. Doraisamy, Shyamala
Azman, Azreen
Jantan, Azrul
Abdullah Ramaiah, Asri Ranga
author_facet Safara, Fatemeh
C. Doraisamy, Shyamala
Azman, Azreen
Jantan, Azrul
Abdullah Ramaiah, Asri Ranga
author_sort Safara, Fatemeh
building UPM Institutional Repository
collection Online Access
description Wavelet packet transform decomposes a signal into a set of orthonormal bases (nodes) and provides opportunities to select an appropriate set of these bases for feature extraction. In this paper, multi-level basis selection (MLBS) is proposed to preserve the most informative bases of a wavelet packet decomposition tree through removing less informative bases by applying three exclusion criteria:frequency range, noise frequency, and energy threshold. MLBS achieved an accuracy of 97.56% for classifying normal heart sound, aortic stenosis, mitral regurgitation, and aortic regurgitation. MLBS is a promising basis selection to be suggested for signals with a small range of frequencies.
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institution Universiti Putra Malaysia
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language English
English
last_indexed 2025-11-15T09:07:04Z
publishDate 2013
publisher Elsevier
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spelling upm-305602016-01-28T04:54:41Z http://psasir.upm.edu.my/id/eprint/30560/ Multi-level basis selection of wavelet packet decomposition tree for heart sound classification. Safara, Fatemeh C. Doraisamy, Shyamala Azman, Azreen Jantan, Azrul Abdullah Ramaiah, Asri Ranga Wavelet packet transform decomposes a signal into a set of orthonormal bases (nodes) and provides opportunities to select an appropriate set of these bases for feature extraction. In this paper, multi-level basis selection (MLBS) is proposed to preserve the most informative bases of a wavelet packet decomposition tree through removing less informative bases by applying three exclusion criteria:frequency range, noise frequency, and energy threshold. MLBS achieved an accuracy of 97.56% for classifying normal heart sound, aortic stenosis, mitral regurgitation, and aortic regurgitation. MLBS is a promising basis selection to be suggested for signals with a small range of frequencies. Elsevier 2013-09 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30560/1/Multi-level%20basis%20selection%20of%20wavelet%20packet%20decomposition%20tree%20for%20heart%20sound%20classification..pdf Safara, Fatemeh and C. Doraisamy, Shyamala and Azman, Azreen and Jantan, Azrul and Abdullah Ramaiah, Asri Ranga (2013) Multi-level basis selection of wavelet packet decomposition tree for heart sound classification. Computers in Biology and Medicine, 43 (10). pp. 1407-1414. ISSN 0010-4825; ESSN: 1879-0534 10.1016/j.compbiomed.2013.06.016 English
spellingShingle Safara, Fatemeh
C. Doraisamy, Shyamala
Azman, Azreen
Jantan, Azrul
Abdullah Ramaiah, Asri Ranga
Multi-level basis selection of wavelet packet decomposition tree for heart sound classification.
title Multi-level basis selection of wavelet packet decomposition tree for heart sound classification.
title_full Multi-level basis selection of wavelet packet decomposition tree for heart sound classification.
title_fullStr Multi-level basis selection of wavelet packet decomposition tree for heart sound classification.
title_full_unstemmed Multi-level basis selection of wavelet packet decomposition tree for heart sound classification.
title_short Multi-level basis selection of wavelet packet decomposition tree for heart sound classification.
title_sort multi-level basis selection of wavelet packet decomposition tree for heart sound classification.
url http://psasir.upm.edu.my/id/eprint/30560/
http://psasir.upm.edu.my/id/eprint/30560/
http://psasir.upm.edu.my/id/eprint/30560/1/Multi-level%20basis%20selection%20of%20wavelet%20packet%20decomposition%20tree%20for%20heart%20sound%20classification..pdf