Kontaktujte nás | Jazyk: čeština English
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 |