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Development of Knit Band Electrodes for Multi-channel sEMG Measurement

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dc.contributor.authorLee, Seul Ah-
dc.contributor.authorKim, Myoung Ok-
dc.contributor.authorGang, Taeho-
dc.contributor.authorChoi, Youngjin-
dc.date.accessioned2021-06-22T15:42:19Z-
dc.date.available2021-06-22T15:42:19Z-
dc.date.issued2017-06-
dc.identifier.issn2325-033X-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/12074-
dc.description.abstractThis paper aims to develop multi-channel knit band electrodes to acquire surface electromyography signal from the upper limb amputees. The knit electrodes have several advantages such as good stretchability, excellent breathability and absorbency. Performance comparisons between the knit band electrodes using the snap buttons and the commercial wet electrodes are given to show the effectiveness of the developed. The developed knit band consists of two parts: conductive area using the silver-plated polyamide multi-filament and nonconductive area composed of biomax (Dual Tex) so that perspiration can quickly be evaporated keeping it dry for comfort. Experimental results have revealed that the knit band electrodes could achieve similar performance to the commercial wet electrodes.-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleDevelopment of Knit Band Electrodes for Multi-channel sEMG Measurement-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/URAI.2017.7992835-
dc.identifier.scopusid2-s2.0-85034231690-
dc.identifier.wosid000426976900215-
dc.identifier.bibliographicCitation2017 14TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), pp 827 - 829-
dc.citation.title2017 14TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI)-
dc.citation.startPage827-
dc.citation.endPage829-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaRobotics-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.subject.keywordAuthorsurface electromyography (sEMG)-
dc.subject.keywordAuthorknit electrode-
dc.subject.keywordAuthorconductive fabric-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7992835-
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ERICA 공학대학 (DEPARTMENT OF ROBOT ENGINEERING)
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