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Pathological infant cry analysis using wavelet packet transform and probabilistic neural network

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Main Authors: Muthusamy, Hariharan, Sazali, Yaacob, Prof. Dr., Saidatul Ardeenaawatie, Awang
Format: Article
Language:English
Published: Elsevier Ltd. 2011
Subjects:
Acoustic analysis
Infant cry
Probabilistic neural network
Wavelet packet transform
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/14015
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spelling my.unimap-140152011-10-04T13:33:30Z Pathological infant cry analysis using wavelet packet transform and probabilistic neural network Muthusamy, Hariharan Sazali, Yaacob, Prof. Dr. Saidatul Ardeenaawatie, Awang Acoustic analysis Infant cry Probabilistic neural network Wavelet packet transform Link to publisher's homepage at http://www.elsevier.com/ A new approach has been presented based on the wavelet packet transform and probabilistic neural network (PNN) for the analysis of infant cry signals. Feature extraction and development of classification algorithms play important role in the area of automatic analysis of infant cry signals. Infant cry signals are decomposed into five levels using wavelet packet transform. Energy and entropy measures are extracted at every level of decomposition and they are used as features to quantify the infant cry signals. A PNN is developed to classify the infant cry signals into normal and pathological and trained with different spread factor or smoothing parameter to obtain better classification accuracy. The experimental results demonstrate that the proposed features and classification algorithms give very promising classification accuracy of 99% and it proves that the proposed method can be used to help medical professionals for diagnosing pathological status of an infant from cry signals. 2011-10-04T13:33:30Z 2011-10-04T13:33:30Z 2011-11 Article Expert Systems with Applications, vol. 38 (12), 2011, pages 15377-15382 0957-4174 http://www.sciencedirect.com/science/article/pii/S0957417411009201 http://hdl.handle.net/123456789/14015 en Elsevier Ltd.
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Acoustic analysis
Infant cry
Probabilistic neural network
Wavelet packet transform
spellingShingle Acoustic analysis
Infant cry
Probabilistic neural network
Wavelet packet transform
Muthusamy, Hariharan
Sazali, Yaacob, Prof. Dr.
Saidatul Ardeenaawatie, Awang
Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
description Link to publisher's homepage at http://www.elsevier.com/
format Article
author Muthusamy, Hariharan
Sazali, Yaacob, Prof. Dr.
Saidatul Ardeenaawatie, Awang
author_facet Muthusamy, Hariharan
Sazali, Yaacob, Prof. Dr.
Saidatul Ardeenaawatie, Awang
author_sort Muthusamy, Hariharan
title Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
title_short Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
title_full Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
title_fullStr Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
title_full_unstemmed Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
title_sort pathological infant cry analysis using wavelet packet transform and probabilistic neural network
publisher Elsevier Ltd.
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/14015
_version_ 1643790965993897984
score 13.219503

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