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The possibility of using diagnostic methods EEG and SEMG in rehabilitation

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dc.title The possibility of using diagnostic methods EEG and SEMG in rehabilitation en
dc.contributor.author Koudelková, Zuzana
dc.contributor.author Jašek, Roman
dc.contributor.author Žabčíková, Martina
dc.relation.ispartof ICCAI '19 - Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence
dc.identifier.isbn 978-1-4503-6106-4
dc.date.issued 2019
dc.citation.spage 240
dc.citation.epage 243
dc.event.title 5th International Conference on Computing and Artificial Intelligence, ICCAI 2019
dc.event.location Bali
utb.event.state-en Indonesia
utb.event.state-cs Indonésie
dc.event.sdate 2019-04-19
dc.event.edate 2019-04-22
dc.type conferenceObject
dc.language.iso en
dc.publisher Association for Computing Machinery
dc.identifier.doi 10.1145/3330482.3330519
dc.relation.uri https://dl.acm.org/citation.cfm?doid=3330482.3330519
dc.subject electromyography en
dc.subject electroencephalography en
dc.subject computer science en
dc.subject sEMG en
dc.subject EEG en
dc.subject rehabilitation en
dc.description.abstract The primary purpose of this paper is to show the possibility of using diagnostic methods in rehabilitation. The article described two types of methods - electroencephalography (EEG) and surface electromyography (sEMG). The first section of this article describes both technologies and devices, which were selected. The second section defines the experimental part. Experimental part is divided into the possibilities of using EEG and sEMG methods. EEG method recognizes brain wave pattern abnormalities. Conversely, sEMG is used to recover from muscular imbalances and abnormalities. At the end of the article, we specify future research based on both technologies which can work together. © 2019 Association for Computing Machinery. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009051
utb.identifier.obdid 43879996
utb.identifier.scopus 2-s2.0-85071107188
utb.identifier.wok 000698607100041
utb.source d-scopus
dc.date.accessioned 2019-09-19T07:56:13Z
dc.date.available 2019-09-19T07:56:13Z
dc.description.sponsorship Internal Grant Agency of Tomas Bata University in Zlin [IGA/FAI/2019/005]
utb.contributor.internalauthor Koudelková, Zuzana
utb.contributor.internalauthor Jašek, Roman
utb.contributor.internalauthor Žabčíková, Martina
utb.fulltext.affiliation Zuzana Koudelkova, Roman Jasek, Martina Zabcikova Tomas Bata University Nad Stranemi 4511 76001, Zlin, Czech Republic +420702594390 koudelkova@utb.cz Tomas Bata University Nad Stranemi 4511 76001, Zlin, Czech Republic +420606777234 jasek@utb.cz Tomas Bata University Nad Stranemi 4511 76001, Zlin, Czech Republic +420731904489 zabcikova@utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by Internal Grant Agency of Tomas Bata University in Zlin under the project No. IGA/FAI/2019/005.
utb.wos.affiliation [Koudelkova, Zuzana; Jasek, Roman; Zabcikova, Martina] Tomas Bata Univ, Stranemi 4511, Zlin 76001, Czech Republic
utb.scopus.affiliation Tomas Bata University, Nad Stranemi 4511, Zlin, 76001, Czech Republic
utb.fulltext.projects IGA/FAI/2019/005
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