1. Репозиторий Самарского национального исследовательского университета имени академика С.П. Королёва
  2. 04. Материалы конференций
  3. Информационные технологии и нанотехнологии
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dc.coverage.spatialcross-correlations
dc.coverage.spatialcognitive tasks
dc.coverage.spatialdata science
dc.coverage.spatialbiomedical data
dc.coverage.spatialautocorrelations
dc.coverage.spatialelectroencephalograms
dc.coverage.spatialliving systems
dc.coverage.spatialfrequency-phase synchronization
dc.coverage.spatialmathematical methods of data analysis
dc.coverage.spatialtime series analysis
dc.coverage.spatialperception
dc.creatorYunusov V., Demin S.
dc.date2023
dc.date.accessioned2025-08-22T12:19:14Z-
dc.date.available2025-08-22T12:19:14Z-
dc.date.issued2023
dc.identifier.identifierRU\НТБ СГАУ\541946
dc.identifier.citationYunusov, V. Multiparameter analysis of statistical memory effects and spectral characteristics in bioelectric signals while performing cognitive tasks / V. Yunusov, S. Demin // Информационные технологии и нанотехнологии (ИТНТ-2023) : сб. тр. по материалам IX Междунар. конф. и молодеж. шк. (г. Самара, 17-23 апр. 2023 г.): в 6 т. / М-во науки и высш. образования Рос. Федерации, Самар. нац. исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем обраб. изобр. РАН - Фил. Федер. науч.-исслед. центра "Кристаллография и фотоника" Рос. акад. наук. - Самара : Изд-во Самар. ун-та, 2023Т. 6: Информационные технологии в биомедицине / под ред. В. П. Захарова. - 2023. - С. 060202.
dc.identifier.urihttp://repo.ssau.ru/jspui/handle/123456789/13229-
dc.description.abstractIn this research, in the framework of Memory Functions Formalism, we study statistical memory effects of electroencephalogram data for two groups of people by performing auto- and cross-correlation analysis. The first one consists of 8 professional musicians; the second group was represented by 11 people without any musical education.Bioelectrical activity signals were recorded during rest state and 2 cognitive tasks: perceiving a fragment of musical piece, and perceiving a text read aloud. During autocorrelation analysis, we identify regions of brain cortex, statistical memory effects of signals from which differ the most and use them for the following analysis. During the second stage of work, we identify differences in spectral behavior for both groups and analyze the effects of frequency-phase synchronization. Finally, it is demonstrated that our approach allows detecting differences in the cognitive abilities of people when performing various cognitive tasks.
dc.languagerus
dc.relation.ispartofИнформационные технологии и нанотехнологии (ИТНТ-2023) : сб. тр. по материалам IX Междунар. конф. и молодеж. шк. (г. Самара, 17-23 апр. 2023 г.): в 6
dc.sourceИнформационные технологии и нанотехнологии (ИТНТ-2023). - Т. 6 : Информационные технологии в биомедицине
dc.subjectcross-correlations
dc.subjectcognitive tasks
dc.subjectdata science
dc.subjectbiomedical data
dc.subjectautocorrelations
dc.subjectelectroencephalograms
dc.subjectliving systems
dc.subjectfrequency-phase synchronization
dc.subjectmathematical methods of data analysis
dc.subjecttime series analysis
dc.subjectperception
dc.titleMultiparameter analysis of statistical memory effects and spectral characteristics in bioelectric signals while performing cognitive tasks
dc.typeText
dc.citation.spage060202
dc.citation.volume6
local.contributor.authorYunusov V.
local.contributor.authorDemin S.
local.identifier.oldurihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Multiparameter-analysis-of-statistical-memory-effects-and-spectral-characteristics-in-bioelectric-signals-while-performing-cognitive-tasks-106064
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