Assessment of walker-assisted gait based on Principal Component Analysis and wireless inertial sensors
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Engenharia Biomédica (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512014000300004 |
Resumo: | INTRODUCTION:This study investigates a gait research protocol to assess the impact of a walker model with forearm supports on the kinematic parameters of the lower limb during locomotion. METHODS: Thirteen healthy participants without any history of gait dysfunction were enrolled in the experimental procedure. Spatiotemporal and kinematic gait parameters were calculated by using wireless inertial sensors and analyzed with Principal Component Analysis (PCA). The PCA method was selected to achieve dimension reduction and evaluate the main effects in gait performance during walker-assisted gait. Additionally, the interaction among the variables included in each Principal Component (PCs) derived from PCA is exposed to expand the understanding of the main differences between walker-assisted and unassisted gait conditions. RESULTS:The results of the statistical analysis identified four PCs that retained 65% of the data variability. These components were associated with spatiotemporal information, knee joint, hip joint and ankle joint motion, respectively. CONCLUSION: Assisted gait by a walker model with forearm supports was characterized by slower gait, shorter steps, larger double support phase and lower body vertical acceleration when compared with normal, unassisted walking. |
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Revista Brasileira de Engenharia Biomédica (Online) |
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Assessment of walker-assisted gait based on Principal Component Analysis and wireless inertial sensorsBiomechanicsPrincipal Component AnalysisIntervention effectivenessWalker-assisted gaitINTRODUCTION:This study investigates a gait research protocol to assess the impact of a walker model with forearm supports on the kinematic parameters of the lower limb during locomotion. METHODS: Thirteen healthy participants without any history of gait dysfunction were enrolled in the experimental procedure. Spatiotemporal and kinematic gait parameters were calculated by using wireless inertial sensors and analyzed with Principal Component Analysis (PCA). The PCA method was selected to achieve dimension reduction and evaluate the main effects in gait performance during walker-assisted gait. Additionally, the interaction among the variables included in each Principal Component (PCs) derived from PCA is exposed to expand the understanding of the main differences between walker-assisted and unassisted gait conditions. RESULTS:The results of the statistical analysis identified four PCs that retained 65% of the data variability. These components were associated with spatiotemporal information, knee joint, hip joint and ankle joint motion, respectively. CONCLUSION: Assisted gait by a walker model with forearm supports was characterized by slower gait, shorter steps, larger double support phase and lower body vertical acceleration when compared with normal, unassisted walking.SBEB - Sociedade Brasileira de Engenharia Biomédica2014-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512014000300004Revista Brasileira de Engenharia Biomédica v.30 n.3 2014reponame:Revista Brasileira de Engenharia Biomédica (Online)instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)instacron:SBEB10.1590/rbeb.2014.020info:eu-repo/semantics/openAccessMartins,MariaElias,ArlindoCifuentes,CarlosAlfonso,ManuelFrizera,AnselmoSantos,CristinaCeres,Ramóneng2014-09-24T00:00:00Zoai:scielo:S1517-31512014000300004Revistahttp://www.scielo.br/rbebONGhttps://old.scielo.br/oai/scielo-oai.php||rbeb@rbeb.org.br1984-77421517-3151opendoar:2014-09-24T00:00Revista Brasileira de Engenharia Biomédica (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)false |
dc.title.none.fl_str_mv |
Assessment of walker-assisted gait based on Principal Component Analysis and wireless inertial sensors |
title |
Assessment of walker-assisted gait based on Principal Component Analysis and wireless inertial sensors |
spellingShingle |
Assessment of walker-assisted gait based on Principal Component Analysis and wireless inertial sensors Martins,Maria Biomechanics Principal Component Analysis Intervention effectiveness Walker-assisted gait |
title_short |
Assessment of walker-assisted gait based on Principal Component Analysis and wireless inertial sensors |
title_full |
Assessment of walker-assisted gait based on Principal Component Analysis and wireless inertial sensors |
title_fullStr |
Assessment of walker-assisted gait based on Principal Component Analysis and wireless inertial sensors |
title_full_unstemmed |
Assessment of walker-assisted gait based on Principal Component Analysis and wireless inertial sensors |
title_sort |
Assessment of walker-assisted gait based on Principal Component Analysis and wireless inertial sensors |
author |
Martins,Maria |
author_facet |
Martins,Maria Elias,Arlindo Cifuentes,Carlos Alfonso,Manuel Frizera,Anselmo Santos,Cristina Ceres,Ramón |
author_role |
author |
author2 |
Elias,Arlindo Cifuentes,Carlos Alfonso,Manuel Frizera,Anselmo Santos,Cristina Ceres,Ramón |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Martins,Maria Elias,Arlindo Cifuentes,Carlos Alfonso,Manuel Frizera,Anselmo Santos,Cristina Ceres,Ramón |
dc.subject.por.fl_str_mv |
Biomechanics Principal Component Analysis Intervention effectiveness Walker-assisted gait |
topic |
Biomechanics Principal Component Analysis Intervention effectiveness Walker-assisted gait |
description |
INTRODUCTION:This study investigates a gait research protocol to assess the impact of a walker model with forearm supports on the kinematic parameters of the lower limb during locomotion. METHODS: Thirteen healthy participants without any history of gait dysfunction were enrolled in the experimental procedure. Spatiotemporal and kinematic gait parameters were calculated by using wireless inertial sensors and analyzed with Principal Component Analysis (PCA). The PCA method was selected to achieve dimension reduction and evaluate the main effects in gait performance during walker-assisted gait. Additionally, the interaction among the variables included in each Principal Component (PCs) derived from PCA is exposed to expand the understanding of the main differences between walker-assisted and unassisted gait conditions. RESULTS:The results of the statistical analysis identified four PCs that retained 65% of the data variability. These components were associated with spatiotemporal information, knee joint, hip joint and ankle joint motion, respectively. CONCLUSION: Assisted gait by a walker model with forearm supports was characterized by slower gait, shorter steps, larger double support phase and lower body vertical acceleration when compared with normal, unassisted walking. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512014000300004 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512014000300004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/rbeb.2014.020 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
SBEB - Sociedade Brasileira de Engenharia Biomédica |
publisher.none.fl_str_mv |
SBEB - Sociedade Brasileira de Engenharia Biomédica |
dc.source.none.fl_str_mv |
Revista Brasileira de Engenharia Biomédica v.30 n.3 2014 reponame:Revista Brasileira de Engenharia Biomédica (Online) instname:Sociedade Brasileira de Engenharia Biomédica (SBEB) instacron:SBEB |
instname_str |
Sociedade Brasileira de Engenharia Biomédica (SBEB) |
instacron_str |
SBEB |
institution |
SBEB |
reponame_str |
Revista Brasileira de Engenharia Biomédica (Online) |
collection |
Revista Brasileira de Engenharia Biomédica (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Engenharia Biomédica (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB) |
repository.mail.fl_str_mv |
||rbeb@rbeb.org.br |
_version_ |
1754820915127910400 |