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ANALYSIS OF THE CHANGES IN THE BRAIN ACTIVITY BETWEEN REST AND MULTITASKING WORKLOAD BY COMPLEXITY-BASED ANALYSIS OF EEG SIGNALS

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dc.contributor.authorParthasarathy, S.
dc.contributor.authorMarešová, Petra
dc.contributor.authorRajagopal, K.
dc.contributor.authorNamazi, Hamidreza
dc.date.accessioned2025-12-05T13:12:51Z
dc.date.available2025-12-05T13:12:51Z
dc.date.issued2023
dc.description.abstractAnalysis of the changes in brain activity between rest and various conditions is an important area of research. We investigated the changes in brain activity among rest and multitask workload (SIMKAP multitasking test) by quantifying the complexity of EEG signals. The results showed that EEG signals have smaller fractal dimensions, sample entropy, and approximate entropy during the SIMKAP multitasking test than the rest. Therefore, the complexity of EEG signals was lower during the SIMKAP multitasking test than the rest. In further research, we can study the changes in brain activity among other conditions, which has great benefits in decoding brain activity in various conditions. © 2023 World Scientific Publishing Company.eng
dc.formatp. &quot;Article number: 2350136&quot;
dc.identifier.doi10.1142/S0218348X23501360
dc.identifier.issn0218-348X
dc.identifier.obd43880471
dc.identifier.urihttp://hdl.handle.net/20.500.12603/1943
dc.language.isoeng
dc.peerreviewedyes
dc.publicationstatuspostprint
dc.publisherWorld scientific
dc.relation.ispartofFractals, volume 31, issue: 09eng
dc.relation.publisherversionhttps://www.worldscientific.com/doi/10.1142/S0218348X23501360
dc.rights.accessOpen Access
dc.rights.licenseCC BY
dc.source.urlhttps://www.worldscientific.com/doi/10.1142/S0218348X23501360
dc.subjectApproximate Entropyeng
dc.subjectBraineng
dc.subjectComplexityeng
dc.subjectElectroencephalogram (EEG) Signalseng
dc.subjectFractal Dimensioneng
dc.subjectSample Entropyeng
dc.subjectSIMKAP Multitasking Testeng
dc.titleANALYSIS OF THE CHANGES IN THE BRAIN ACTIVITY BETWEEN REST AND MULTITASKING WORKLOAD BY COMPLEXITY-BASED ANALYSIS OF EEG SIGNALSeng
dc.typearticle

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