Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review
Auditory evoked potential (AEP) is a sort of electroencephalographic (EEG) signal elicited by an acoustic stimulus from the brain scalp. An intelligent auditory perception level system helps the auditory system to analyze and assess its functional integrity. Initially, the AEP signals are utilized i...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33304/ http://umpir.ump.edu.my/id/eprint/33304/1/Auditory%20Evoked%20Potential.pdf |
| _version_ | 1848824221429399552 |
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| author | Islam, Md Nahidul Norizam, Sulaiman Bari, Bifta Sama Rashid, Mamunur Mahfuzah, Mustafa |
| author_facet | Islam, Md Nahidul Norizam, Sulaiman Bari, Bifta Sama Rashid, Mamunur Mahfuzah, Mustafa |
| author_sort | Islam, Md Nahidul |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Auditory evoked potential (AEP) is a sort of electroencephalographic (EEG) signal elicited by an acoustic stimulus from the brain scalp. An intelligent auditory perception level system helps the auditory system to analyze and assess its functional integrity. Initially, the AEP signals are utilized in accurate and fast hearing threshold level detection in early stage. However, this emerging psychological modality expands it applications like other EEG control signals. Recently, AEP responses are initiated into the brain-computer technology (BCI) technology. This paper presents a short review on AEP based BCI technology. First, a concise overview of AEP signal and its analysis procedure are discussed. Then the existing AEP based studies are reviewed and their summary in terms of data description, feature extraction, classification methods and performance are tabulated. Finally, the issues of the recent AEP signal analysis have been addressed and potential ways are suggested to alleviate existing problems. Finally, the issues to the existing AEP based BCI technology are presented, and the possible solutions are also recommended. |
| first_indexed | 2025-11-15T03:09:35Z |
| format | Conference or Workshop Item |
| id | ump-33304 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:09:35Z |
| publishDate | 2021 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-333042022-02-04T08:56:01Z http://umpir.ump.edu.my/id/eprint/33304/ Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review Islam, Md Nahidul Norizam, Sulaiman Bari, Bifta Sama Rashid, Mamunur Mahfuzah, Mustafa TK Electrical engineering. Electronics Nuclear engineering Auditory evoked potential (AEP) is a sort of electroencephalographic (EEG) signal elicited by an acoustic stimulus from the brain scalp. An intelligent auditory perception level system helps the auditory system to analyze and assess its functional integrity. Initially, the AEP signals are utilized in accurate and fast hearing threshold level detection in early stage. However, this emerging psychological modality expands it applications like other EEG control signals. Recently, AEP responses are initiated into the brain-computer technology (BCI) technology. This paper presents a short review on AEP based BCI technology. First, a concise overview of AEP signal and its analysis procedure are discussed. Then the existing AEP based studies are reviewed and their summary in terms of data description, feature extraction, classification methods and performance are tabulated. Finally, the issues of the recent AEP signal analysis have been addressed and potential ways are suggested to alleviate existing problems. Finally, the issues to the existing AEP based BCI technology are presented, and the possible solutions are also recommended. Springer 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33304/1/Auditory%20Evoked%20Potential.pdf Islam, Md Nahidul and Norizam, Sulaiman and Bari, Bifta Sama and Rashid, Mamunur and Mahfuzah, Mustafa (2021) Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review. In: iCITES 2020: Advances in Robotics, Automation and Data Analytics , Universiti Malaysia Pahang (Virtual Conference). pp. 272-284.. ISBN 978-3-030-70917-4 (Published) https://doi.org/10.1007/978-3-030-70917-4_26 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Islam, Md Nahidul Norizam, Sulaiman Bari, Bifta Sama Rashid, Mamunur Mahfuzah, Mustafa Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review |
| title | Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review |
| title_full | Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review |
| title_fullStr | Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review |
| title_full_unstemmed | Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review |
| title_short | Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review |
| title_sort | auditory evoked potential (aep) based brain-computer interface (bci) technology: a short review |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/33304/ http://umpir.ump.edu.my/id/eprint/33304/ http://umpir.ump.edu.my/id/eprint/33304/1/Auditory%20Evoked%20Potential.pdf |