Počet záznamů: 1
Classification of brain activities during language and music perception
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SYSNO ASEP 0533472 Druh ASEP J - Článek v odborném periodiku Zařazení RIV Záznam nebyl označen do RIV Poddruh J Článek ve WOS Název Classification of brain activities during language and music perception Tvůrce(i) Besedová, P. (CZ)
Vyšata, O. (CZ)
Mazurová, R. (CZ)
Kopal, Jakub (UIVT-O) RID, ORCID, SAI
Ondráková, J. (CZ)
Vališ, M. (CZ)
Procházka, A. (CZ)Zdroj.dok. Signal Image and Video Processing - ISSN 1863-1703
Roč. 13, č. 8 (2019), s. 1559-1567Jazyk dok. eng - angličtina Země vyd. GB - Velká Británie Klíč. slova eeg ; speech ; plasticity ; benefits ; behavior ; signal ; time ; Multichannel signal analysis ; Computational intelligence ; Cognitive science ; Linguistics ; Machine learning UT WOS 000509671800011 EID SCOPUS 85067257869 DOI 10.1007/s11760-019-01505-5 Anotace Analysis of brain activities in language perception for individuals with different musical backgrounds can be based upon the study of multichannel electroencephalograhy (EEG) signals acquired in different external conditions. The present paper is devoted to the study of the relationship of mental processes and the perception of external stimuli related to the previous musical education. The experimental set under study included 38 individuals who were observed during perception of music and during listening to foreign languages in four stages, each of which was 5 min long. The proposed methodology is based on the application of digital signal processing methods, signal filtering, statistical methods for signal segment selection and active electrode detection. Neural networks and support vector machine (SVM) models are then used to classify the selected groups of linguists to groups with and without a previous musical education. Our results include mean classification accuracies of 82.9% and 82.4% (with the mean cross-validation errors of 0.21 and 0.22, respectively) for perception of language or music and features based upon EEG power in the beta and gamma EEG frequency bands using neural network and SVM classification models. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2021
Počet záznamů: 1