Detection of the Effects of Environmental Condition on Attention/Memory Using Eeg Signals

dc.contributor.author Arinc, A.
dc.contributor.author Akbuğday, Burak
dc.contributor.author Akbugday, S.P.
dc.contributor.author Akan, Aydın
dc.date.accessioned 2024-02-24T13:39:03Z
dc.date.available 2024-02-24T13:39:03Z
dc.date.issued 2023
dc.description 2023 Medical Technologies Congress, TIPTEKNO 2023 -- 10 November 2023 through 12 November 2023 -- 195703 en_US
dc.description.abstract Several studies suggest that attention is affected by several factors in workplaces and classrooms such as noise levels. These studies are often conducted via surveys and statistical methods to assess the cognitive performances of individuals. In this study, the effect of environmental conditions on attention and memory is investigated using Electroencephalogram (EEG). EEG signals from 32 participants were recorded for three cases with different noise levels while they were performing an n-back task. Sub-band powers of the EEG signals were then extracted using the filtered signals and these features were then classified using several machine learning classifiers. Results indicate that increased noise levels have detrimental effects whereas calm environments have positive effects on attention and working memory. © 2023 IEEE. en_US
dc.description.sponsorship BAP2022-07 en_US
dc.identifier.doi 10.1109/TIPTEKNO59875.2023.10359237
dc.identifier.isbn 9798350328967
dc.identifier.scopus 2-s2.0-85182732694
dc.identifier.uri https://doi.org/10.1109/TIPTEKNO59875.2023.10359237
dc.identifier.uri https://hdl.handle.net/20.500.14365/5170
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof TIPTEKNO 2023 - Medical Technologies Congress, Proceedings en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject attention en_US
dc.subject cognitive performance en_US
dc.subject electroencephalogram en_US
dc.subject machine learning en_US
dc.subject noise en_US
dc.subject working memory en_US
dc.subject Machine learning en_US
dc.subject Signal processing en_US
dc.subject Attention en_US
dc.subject Cognitive performance en_US
dc.subject Electroencephalogram signals en_US
dc.subject Environmental conditions en_US
dc.subject Machine-learning en_US
dc.subject N-back task en_US
dc.subject Noise en_US
dc.subject Noise levels en_US
dc.subject Subbands en_US
dc.subject Working memory en_US
dc.subject Electroencephalography en_US
dc.title Detection of the Effects of Environmental Condition on Attention/Memory Using Eeg Signals en_US
dc.type Conference Object en_US
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gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp Arinc, A., Izmir University of Economics, Dept. of Electrical and Electronics Eng., Izmir, Turkey; Akbugday, B., Izmir University of Economics, Dept. of Electrical and Electronics Eng., Izmir, Turkey; Akbugday, S.P., Izmir University of Economics, Dept. of Electrical and Electronics Eng., Izmir, Turkey; Akan, A., Izmir University of Economics, Dept. of Electrical and Electronics Eng., Izmir, Turkey en_US
gdc.description.endpage 4
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
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gdc.description.wosquality N/A
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gdc.virtual.author Akbuğday, Burak
gdc.virtual.author Akan, Aydın
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