An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals
Approximately 466 million people have different kinds of hearing impairment in the world, and 34 million are children. Brain-computer interfaces (BCIs) are systems that link the human brain to external technology, which is the best way to address these concerns. Auditory evoked potentials (AEPs) are...
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2021
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Online Access: | http://umpir.ump.edu.my/id/eprint/34537/1/An%20intelligent%20system%20for%20hearing%20disorder%20detection%20using%20auditory%20evoked%20potential%20%28aep%29%20signals.CITREX2021..pdf http://umpir.ump.edu.my/id/eprint/34537/ |
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my.ump.umpir.345372022-11-11T08:10:26Z http://umpir.ump.edu.my/id/eprint/34537/ An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals Islam, Md Nahidul Norizam, Sulaiman Rashid, Mamunur Mahfuzah, Mustafa Mohd Shawal, Jadin T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Approximately 466 million people have different kinds of hearing impairment in the world, and 34 million are children. Brain-computer interfaces (BCIs) are systems that link the human brain to external technology, which is the best way to address these concerns. Auditory evoked potentials (AEPs) are a type of EEG signal which has been commonly employed to detect early hearing disorder. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34537/1/An%20intelligent%20system%20for%20hearing%20disorder%20detection%20using%20auditory%20evoked%20potential%20%28aep%29%20signals.CITREX2021..pdf Islam, Md Nahidul and Norizam, Sulaiman and Rashid, Mamunur and Mahfuzah, Mustafa and Mohd Shawal, Jadin (2021) An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021, 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1.. |
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T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Islam, Md Nahidul Norizam, Sulaiman Rashid, Mamunur Mahfuzah, Mustafa Mohd Shawal, Jadin An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals |
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Approximately 466 million people have different kinds of hearing impairment in the world, and 34 million are children. Brain-computer interfaces (BCIs) are systems that link the human brain to external technology, which is the best way to address these concerns. Auditory evoked potentials (AEPs) are a type of EEG signal which has been commonly employed to detect early hearing disorder. |
format |
Conference or Workshop Item |
author |
Islam, Md Nahidul Norizam, Sulaiman Rashid, Mamunur Mahfuzah, Mustafa Mohd Shawal, Jadin |
author_facet |
Islam, Md Nahidul Norizam, Sulaiman Rashid, Mamunur Mahfuzah, Mustafa Mohd Shawal, Jadin |
author_sort |
Islam, Md Nahidul |
title |
An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals |
title_short |
An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals |
title_full |
An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals |
title_fullStr |
An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals |
title_full_unstemmed |
An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals |
title_sort |
intelligent system for hearing disorder detection using auditory evoked potential (aep) signals |
publishDate |
2021 |
url |
http://umpir.ump.edu.my/id/eprint/34537/1/An%20intelligent%20system%20for%20hearing%20disorder%20detection%20using%20auditory%20evoked%20potential%20%28aep%29%20signals.CITREX2021..pdf http://umpir.ump.edu.my/id/eprint/34537/ |
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1751536374256762880 |
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13.211869 |