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Epileptic seizure detection using neural fuzzy networks

Abstract:: The electroencephalogram (EEG) is a representative signal containing information about the condition of the brain. The shape of the wave may contain useful information about its state. However, the human observer cannot directly monitor these subtle details. Besides, since bio-signals are highly subjective, the symptoms may appear at random in the time scale. Therefore, the EEG signal parameters, extracted and analyzed using computers, are highly useful in diagnosis. The aim of this work is t...
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APA Style

Sadati, N., Mohseni, H., & Maghsoudi, A. (2006). Epileptic seizure detection using neural fuzzy networks. IEEE International Conference on Fuzzy Systems, 596–600.

MLA Style

Sadati, N., et al. “Epileptic Seizure Detection Using Neural Fuzzy Networks.” IEEE International Conference on Fuzzy Systems, 2006, pp. 596–600.

Chicago Style

Sadati, N, H Mohseni, and A Maghsoudi. 2006. “Epileptic Seizure Detection Using Neural Fuzzy Networks.” IEEE International Conference on Fuzzy Systems, 596–600.
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Publisher copy:: 10.1109/FUZZY.2006.1681772

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+ Sadati, N More by this author

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+ Mohseni, H More by this author

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+ Maghsoudi, A More by this author

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Bibliographic Details

Journal:: IEEE International Conference on Fuzzy Systems
Pages:: 596-600
Publication date:: 2006-01-01
DOI:: 10.1109/FUZZY.2006.1681772
ISSN:: 1098-7584

Item Description

Language:: English
Pubs id:: pubs:287698
UUID:: uuid:3b79e86d-95fb-46a0-a83a-b3e5f53b5ca7
Local pid:: pubs:287698
Source identifiers:: 287698
Deposit date:: 2014-07-25

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Copyright date:: 2006

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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