Electroencephalogram signal classification based on shearlet and contourlet transforms
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- 作者：Paulo Amorima ; paulo.amorim@cti.gov.br" class="auth_mail" title="E-mail the corresponding author ; Thiago Moraesa ; tfmoraes@cti.gov.br" class="auth_mail" title="E-mail the corresponding author ; Dalton Fazanaroa ; dalton.fazanaro@cti.gov.br" class="auth_mail" title="E-mail the corresponding author ; Jorge Silvaa ; jorge.silva@cti.gov.br" class="auth_mail" title="E-mail the corresponding author ; Helio Pedrini ; b ; helio@ic.unicamp.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Epilepsy ; Electroencephalogram signals ; Shearlets ; Contourlets
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：67
- 期：Complete
- 页码：140-147
- 全文大小：1096 K
文摘
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Detection of epilepsy patterns in EEG signals with high accuracy.
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Development of a novel methodology based on curvelet and shearlet transforms.
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Extraction of a set of discriminative characteristics from the signals.
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Evaluation on a public data set.
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Results superior/comparable to the literature.
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