Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
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Elsevier Ltd.
2011
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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. |
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Universiti Malaysia Perlis |
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Asia |
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Malaysia |
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Universiti Malaysia Perlis |
| content_source |
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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 |