A Study on Estimation of Joint Force Through Isometric Index Finger Abduction With the Help of SEMG Peaks for Biomedical Applications

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dc.contributor.authorNa, Youngjinko
dc.contributor.authorChoi, Changmokko
dc.contributor.authorLee, Hae Dongko
dc.contributor.authorKim, Jungko
dc.date.accessioned2016-06-07T09:08:20Z-
dc.date.available2016-06-07T09:08:20Z-
dc.date.created2015-07-08-
dc.date.created2015-07-08-
dc.date.created2015-07-08-
dc.date.issued2016-01-
dc.identifier.citationIEEE TRANSACTIONS ON CYBERNETICS, v.46, no.1, pp.2 - 8-
dc.identifier.issn2168-2267-
dc.identifier.urihttp://hdl.handle.net/10203/207767-
dc.description.abstractWe propose a new method to estimate joint force using a biomechanical muscle model and peaks of surface electromyography (SEMG). The SEMG measurement was carried out from the first dorsal interosseous muscle during isometric index finger abduction. The SEMG peaks were used as the input of the biomechanical muscle model which is a transfer function to generate the force. The force estimation performance (R-2) was evaluated using the proposed method with nine healthy subjects, and a former method using a mean absolute value (MAV), which is the full-wave rectified and averaged (or low-pass filtered) signal of SEMG in a time window, was compared with the proposed method; the performance of the proposed method (0.94 +/- 0.03) was better than that of MAV (0.90 +/- 0.02). The proposed method could be widely applied to quantitative analysis of muscle activities based on SEMG.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectSURFACE EMG SIGNALS-
dc.subjectPATTERN-RECOGNITION-
dc.subjectMOTOR UNITS-
dc.subjectMUSCLE-
dc.subjectMODELS-
dc.subjectDECOMPOSITION-
dc.subjectCONTRACTIONS-
dc.subjectMOVEMENTS-
dc.subjectFATIGUE-
dc.subjectROBOT-
dc.titleA Study on Estimation of Joint Force Through Isometric Index Finger Abduction With the Help of SEMG Peaks for Biomedical Applications-
dc.typeArticle-
dc.identifier.wosid000367144300001-
dc.identifier.scopusid2-s2.0-84960468583-
dc.type.rimsART-
dc.citation.volume46-
dc.citation.issue1-
dc.citation.beginningpage2-
dc.citation.endingpage8-
dc.citation.publicationnameIEEE TRANSACTIONS ON CYBERNETICS-
dc.identifier.doi10.1109/TCYB.2014.2386856-
dc.contributor.localauthorKim, Jung-
dc.contributor.nonIdAuthorChoi, Changmok-
dc.contributor.nonIdAuthorLee, Hae Dong-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorBiomechanical muscle model-
dc.subject.keywordAuthorjoint force estimation-
dc.subject.keywordAuthorpeak detection-
dc.subject.keywordAuthorsurface electromyography (SEMG)-
dc.subject.keywordPlusSURFACE EMG SIGNALS-
dc.subject.keywordPlusPATTERN-RECOGNITION-
dc.subject.keywordPlusMOTOR UNITS-
dc.subject.keywordPlusMUSCLE-
dc.subject.keywordPlusMODELS-
dc.subject.keywordPlusDECOMPOSITION-
dc.subject.keywordPlusCONTRACTIONS-
dc.subject.keywordPlusMOVEMENTS-
dc.subject.keywordPlusFATIGUE-
dc.subject.keywordPlusROBOT-
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