Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/326837
Type: Artigo
Title: Electroencephalogram signal classification based on shearlet and contourlet transforms
Author: Amorim, Paulo
Moraes, Thiago
Fazanaro, Dalton
Silva, Jorge
Pedrini, Helio
Abstract: Epilepsy is a disorder that affects approximately 50 million people of all ages, according to World Health Organization (2016), which makes it one of the most common neurological diseases worldwide. Electroencephalogram (EEG) signals have been widely used
Subject: Epilepsia
Processamento de sinais
Imagem de ressonância magnética
Country: Reino Unido
Editor: Elsevier
Citation: Expert Systems With Applications. Pergamon-elsevier Science Ltd , v. 67, p. 140 - 147, 2017.
Rights: Fechado
Identifier DOI: 10.1016/j.eswa.2016.09.037
Address: https://www.sciencedirect.com/science/article/pii/S0957417416305218
Date Issue: 2017
Appears in Collections:IC - Artigos e Outros Documentos

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