A Novel Computer Aided Detection System for Detection of Focal and Non-Focal EEG Signals using Optimized Deep Neural Network

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dc.contributor.authorSaminu, Sani
dc.contributor.authorXu, Guizhi
dc.contributor.authorZhang, Shuai
dc.contributor.authorAbd El Kader, Isselmou
dc.contributor.authorJabire, Adamu Halilu
dc.contributor.authorAhmed, Yusuf Kola
dc.contributor.authorAliyu, Hajara Abdulkarim
dc.contributor.authorAdamu, Mohammed Jajere
dc.contributor.authorIliyasu, Adamu Yau
dc.contributor.authorUmar, Faiza Ali
dc.date.accessioned2023-08-28T11:29:05Z
dc.date.available2023-08-28T11:29:05Z
dc.date.issued2021-12
dc.description.abstractEpilepsy is a neurological disorder affecting people of all ages. This disorder is reported to affect over 50 million people, with a majority residing in developing countries [1]. It is a sudden and unprovoked seizure that occurs due to an erratic change in the brains' electrical activity often accompanied by loss of consciousness, uncontrolled motions, jerking, and loss of memory [2] [3]. These inconvenient and undesirable effects undermine the quality of life of epilepsy patients as it's difficult for patients and doctors to predict when and where these seizures would occur. Therefore, it is highly imperative to develop an automated system for monitoring epileptic seizures and to assist clinicians in proper and efficient diagnosing of this disease [4] [5].en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11710
dc.language.isoenen_US
dc.publisherIEEExploreen_US
dc.subjectNeurological diseases , Deep learning , Neural networks , Epilepsy , Medical services , Signal processing , Developing countriesen_US
dc.titleA Novel Computer Aided Detection System for Detection of Focal and Non-Focal EEG Signals using Optimized Deep Neural Networken_US
dc.typeArticleen_US

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