Reliable epileptic seizure detection using an improved wavelet neural network

Electroencephalogram (EEG) signal analysis is indispensable in epilepsy diagnosis as it offers valuable insights for locating the abnormal distortions in the brain wave. However, visual interpretation of the massive amounts of EEG signals is time-consuming, and there is often inconsistent judgment b...

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Main Authors: Zainuddin, Zarita, Lai, Kee Huong, Pauline, Ong
Format: Article
Published: The Australasian Medical Journal Pty. Ltd 2013
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Online Access:http://eprints.uthm.edu.my/4165/
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Institution: Universiti Tun Hussein Onn Malaysia
id my.uthm.eprints.4165
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spelling my.uthm.eprints.41652021-11-25T04:31:13Z http://eprints.uthm.edu.my/4165/ Reliable epileptic seizure detection using an improved wavelet neural network Zainuddin, Zarita Lai, Kee Huong Pauline, Ong TK7800-8360 Electronics Electroencephalogram (EEG) signal analysis is indispensable in epilepsy diagnosis as it offers valuable insights for locating the abnormal distortions in the brain wave. However, visual interpretation of the massive amounts of EEG signals is time-consuming, and there is often inconsistent judgment between experts. The Australasian Medical Journal Pty. Ltd 2013 Article PeerReviewed Zainuddin, Zarita and Lai, Kee Huong and Pauline, Ong (2013) Reliable epileptic seizure detection using an improved wavelet neural network. Australasian Medical Journal, 6 (5). pp. 308-314. ISSN 1836-1935
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
topic TK7800-8360 Electronics
spellingShingle TK7800-8360 Electronics
Zainuddin, Zarita
Lai, Kee Huong
Pauline, Ong
Reliable epileptic seizure detection using an improved wavelet neural network
description Electroencephalogram (EEG) signal analysis is indispensable in epilepsy diagnosis as it offers valuable insights for locating the abnormal distortions in the brain wave. However, visual interpretation of the massive amounts of EEG signals is time-consuming, and there is often inconsistent judgment between experts.
format Article
author Zainuddin, Zarita
Lai, Kee Huong
Pauline, Ong
author_facet Zainuddin, Zarita
Lai, Kee Huong
Pauline, Ong
author_sort Zainuddin, Zarita
title Reliable epileptic seizure detection using an improved wavelet neural network
title_short Reliable epileptic seizure detection using an improved wavelet neural network
title_full Reliable epileptic seizure detection using an improved wavelet neural network
title_fullStr Reliable epileptic seizure detection using an improved wavelet neural network
title_full_unstemmed Reliable epileptic seizure detection using an improved wavelet neural network
title_sort reliable epileptic seizure detection using an improved wavelet neural network
publisher The Australasian Medical Journal Pty. Ltd
publishDate 2013
url http://eprints.uthm.edu.my/4165/
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