Samara University Repository
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| Title: | Multiparameter analysis of statistical memory effects and spectral characteristics in bioelectric signals while performing cognitive tasks |
| Keywords: | cross-correlations cognitive tasks data science biomedical data autocorrelations electroencephalograms living systems frequency-phase synchronization mathematical methods of data analysis time series analysis perception |
| Issue Date: | 2023 |
| Citation: | Yunusov, 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. |
| Abstract: | In 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. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/13229 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
| File | Size | Format | |
|---|---|---|---|
| 978-5-7883-1922-3_2023-060202.pdf | 219.93 kB | Adobe PDF | View/Open |
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