sEMG feature evaluation for identification of elbow angle resolution in graded arm movement

Detalhes bibliográficos
Autor(a) principal: CASTRO, M. C. F.
Data de Publicação: 2014
Outros Autores: COLOMBINI, E. L., AQUINO JUNIOR, Plinio Thomaz, ARJUNAN, S. P., KUMAR, D. K.
Tipo de documento: Artigo
Título da fonte: Biblioteca Digital de Teses e Dissertações da FEI
Texto Completo: https://repositorio.fei.edu.br/handle/FEI/991
https://doi.org/10.1186/1475-925X-13-155
Resumo: 13
id FEI_1996b53d9c4522b1c1f62927a613dad2
oai_identifier_str oai:repositorio.fei.edu.br:FEI/991
network_acronym_str FEI
network_name_str Biblioteca Digital de Teses e Dissertações da FEI
repository_id_str
spelling "Este é um artigo publicado em acesso aberto sob uma licença Creative Commons (CC BY 4.0 e CC0 1.0 Universal Public Domain Dedication). Fonte: <https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/1475-925X-13-155>. Acesso em: 28 out. 2019.info:eu-repo/semantics/openAccessCASTRO, M. C. F.COLOMBINI, E. L.AQUINO JUNIOR, Plinio ThomazARJUNAN, S. P.KUMAR, D. K.2019-08-17T20:00:29Z2019-08-17T20:00:29Z2014CASTRO, M. C.; COLOMBINI, E. L.; Aquino Junior, Plinio Thomaz; ARJUNAN, S. P.; KUMAR, D. K. sEMG feature evaluation for identification of elbow angle resolution in graded arm movement. Biomedical Engineering Online (Online), v. 13, n. 1, p. 155, 2014.1475-925Xhttps://repositorio.fei.edu.br/handle/FEI/99110.1186/1475-925x-13-155https://doi.org/10.1186/1475-925X-13-155BioMedical Engineering OnLinesEMG feature evaluation for identification of elbow angle resolution in graded arm movementinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article131155Automatic and accurate identification of elbow angle from surface electromyogram (sEMG) is essential for myoelectric controlled upper limb exoskeleton systems. This requires appropriate selection of sEMG features, and identifying the limitations of such a system. This study has demonstrated that it is possible to identify three discrete positions of the elbow; full extension, right angle, and mid-way point, with window size of only 200 milliseconds. It was seen that while most features were suitable for this purpose, Power Spectral Density Averages (PSD-Av) performed best. The system correctly classified the sEMG against the elbow angle for 100% cases when only two discrete positions (full extension and elbow at right angle) were considered, while correct classification was 89% when there were three discrete positions. However, sEMG was unable to accurately determine the elbow position when five discrete angles were considered. It was also observed that there was no difference for extension or flexion phases.EMG signalPattern recognitionFeature extractionAngular positionArm flexionArm extensionreponame:Biblioteca Digital de Teses e Dissertações da FEIinstname:Centro Universitário da Fundação Educacional Inaciana (FEI)instacron:FEIORIGINALRI_991.pdfRI_991.pdfapplication/pdf763484https://repositorio.fei.edu.br/bitstream/FEI/991/1/RI_991.pdffcb51006a65db5879a709e99c11596adMD51TEXTRI_991.pdf.txtRI_991.pdf.txtExtracted texttext/plain27409https://repositorio.fei.edu.br/bitstream/FEI/991/2/RI_991.pdf.txt2ca1d8dde9df227a5139e26980bf2bc0MD52THUMBNAILRI_991.pdf.jpgRI_991.pdf.jpgGenerated Thumbnailimage/jpeg1616https://repositorio.fei.edu.br/bitstream/FEI/991/3/RI_991.pdf.jpgf2f02c635cfb2e015643496ef7cbcb83MD53FEI/9912019-11-07 17:54:37.221Biblioteca Digital de Teses e Dissertaçõeshttp://sofia.fei.edu.br/pergamum/biblioteca/PRI
dc.title.pt_BR.fl_str_mv sEMG feature evaluation for identification of elbow angle resolution in graded arm movement
title sEMG feature evaluation for identification of elbow angle resolution in graded arm movement
spellingShingle sEMG feature evaluation for identification of elbow angle resolution in graded arm movement
CASTRO, M. C. F.
EMG signal
Pattern recognition
Feature extraction
Angular position
Arm flexion
Arm extension
title_short sEMG feature evaluation for identification of elbow angle resolution in graded arm movement
title_full sEMG feature evaluation for identification of elbow angle resolution in graded arm movement
title_fullStr sEMG feature evaluation for identification of elbow angle resolution in graded arm movement
title_full_unstemmed sEMG feature evaluation for identification of elbow angle resolution in graded arm movement
title_sort sEMG feature evaluation for identification of elbow angle resolution in graded arm movement
author CASTRO, M. C. F.
author_facet CASTRO, M. C. F.
COLOMBINI, E. L.
AQUINO JUNIOR, Plinio Thomaz
ARJUNAN, S. P.
KUMAR, D. K.
author_role author
author2 COLOMBINI, E. L.
AQUINO JUNIOR, Plinio Thomaz
ARJUNAN, S. P.
KUMAR, D. K.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv CASTRO, M. C. F.
COLOMBINI, E. L.
AQUINO JUNIOR, Plinio Thomaz
ARJUNAN, S. P.
KUMAR, D. K.
dc.subject.eng.fl_str_mv EMG signal
Pattern recognition
Feature extraction
Angular position
Arm flexion
Arm extension
topic EMG signal
Pattern recognition
Feature extraction
Angular position
Arm flexion
Arm extension
description 13
publishDate 2014
dc.date.issued.fl_str_mv 2014
dc.date.accessioned.fl_str_mv 2019-08-17T20:00:29Z
dc.date.available.fl_str_mv 2019-08-17T20:00:29Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv CASTRO, M. C.; COLOMBINI, E. L.; Aquino Junior, Plinio Thomaz; ARJUNAN, S. P.; KUMAR, D. K. sEMG feature evaluation for identification of elbow angle resolution in graded arm movement. Biomedical Engineering Online (Online), v. 13, n. 1, p. 155, 2014.
dc.identifier.uri.fl_str_mv https://repositorio.fei.edu.br/handle/FEI/991
dc.identifier.issn.none.fl_str_mv 1475-925X
dc.identifier.doi.none.fl_str_mv 10.1186/1475-925x-13-155
dc.identifier.url.none.fl_str_mv https://doi.org/10.1186/1475-925X-13-155
identifier_str_mv CASTRO, M. C.; COLOMBINI, E. L.; Aquino Junior, Plinio Thomaz; ARJUNAN, S. P.; KUMAR, D. K. sEMG feature evaluation for identification of elbow angle resolution in graded arm movement. Biomedical Engineering Online (Online), v. 13, n. 1, p. 155, 2014.
1475-925X
10.1186/1475-925x-13-155
url https://repositorio.fei.edu.br/handle/FEI/991
https://doi.org/10.1186/1475-925X-13-155
dc.relation.ispartof.none.fl_str_mv BioMedical Engineering OnLine
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da FEI
instname:Centro Universitário da Fundação Educacional Inaciana (FEI)
instacron:FEI
instname_str Centro Universitário da Fundação Educacional Inaciana (FEI)
instacron_str FEI
institution FEI
reponame_str Biblioteca Digital de Teses e Dissertações da FEI
collection Biblioteca Digital de Teses e Dissertações da FEI
bitstream.url.fl_str_mv https://repositorio.fei.edu.br/bitstream/FEI/991/1/RI_991.pdf
https://repositorio.fei.edu.br/bitstream/FEI/991/2/RI_991.pdf.txt
https://repositorio.fei.edu.br/bitstream/FEI/991/3/RI_991.pdf.jpg
bitstream.checksum.fl_str_mv fcb51006a65db5879a709e99c11596ad
2ca1d8dde9df227a5139e26980bf2bc0
f2f02c635cfb2e015643496ef7cbcb83
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1734750997466578944

Registros relacionados