Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds

Detalhes bibliográficos
Autor(a) principal: Moreira, Luís Carlos Rodrigues
Data de Publicação: 2021
Outros Autores: Figueiredo, Joana, Fonseca, Pedro, Vilas-Boas, João P., Santos, Cristina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/89600
Resumo: Understanding the lower limb kinematic, kinetic, and electromyography (EMG) data interrelation in controlled speeds is challenging for fully assessing human locomotion conditions. This paper provides a complete dataset with the above-mentioned raw and processed data simultaneously recorded for sixteen healthy participants walking on a 10 meter-flat surface at seven controlled speeds (1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0km/h). The raw data include 3D joint trajectories of 24 retro-reflective markers, ground reaction forces (GRF), force plate moments, center of pressures, and EMG signals from Tibialis Anterior, Gastrocnemius Lateralis, Biceps Femoris, and Vastus Lateralis. The processed data present gait cycle-normalized data including filtered EMG signals and their envelope, 3D GRF, joint angles, and torques. This study details the experimental setup and presents a brief validation of the data quality. The presented dataset may contribute to (i) validate and enhance human biomechanical gait models, and (ii) serve as a reference trajectory for personalized control of robotic assistive devices, aiming an adequate assistance level adjusted to the gait speed and user's anthropometry.
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spelling Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speedsScience & TechnologyUnderstanding the lower limb kinematic, kinetic, and electromyography (EMG) data interrelation in controlled speeds is challenging for fully assessing human locomotion conditions. This paper provides a complete dataset with the above-mentioned raw and processed data simultaneously recorded for sixteen healthy participants walking on a 10 meter-flat surface at seven controlled speeds (1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0km/h). The raw data include 3D joint trajectories of 24 retro-reflective markers, ground reaction forces (GRF), force plate moments, center of pressures, and EMG signals from Tibialis Anterior, Gastrocnemius Lateralis, Biceps Femoris, and Vastus Lateralis. The processed data present gait cycle-normalized data including filtered EMG signals and their envelope, 3D GRF, joint angles, and torques. This study details the experimental setup and presents a brief validation of the data quality. The presented dataset may contribute to (i) validate and enhance human biomechanical gait models, and (ii) serve as a reference trajectory for personalized control of robotic assistive devices, aiming an adequate assistance level adjusted to the gait speed and user's anthropometry.This work has been supported in part by the Fundação para a Ciência e Tecnologia (FCT) with the Reference Scholarship under Grant 2020.05711.BD, and in part by the FEDER Funds through the COMPETE 2020—Programa Operacional Competitividade e Internacionalização (POCI) and P2020 with the Reference Project SmartOs Grant POCI-01-0247-FEDER-039868, and by FCT national funds, under the national support to R&D units grant, through the reference project UIDB/04436/2020 and UIDP/04436/2020.Springer NatureUniversidade do MinhoMoreira, Luís Carlos RodriguesFigueiredo, JoanaFonseca, PedroVilas-Boas, João P.Santos, Cristina2021-04-122021-04-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/89600engMoreira, L., Figueiredo, J., Fonseca, P. et al. Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds. Sci Data 8, 103 (2021). https://doi.org/10.1038/s41597-021-00881-32052-446310.1038/s41597-021-00881-333846357103https://www.nature.com/articles/s41597-021-00881-3info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-16T01:23:29Zoai:repositorium.sdum.uminho.pt:1822/89600Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:01:15.556018Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds
title Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds
spellingShingle Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds
Moreira, Luís Carlos Rodrigues
Science & Technology
title_short Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds
title_full Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds
title_fullStr Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds
title_full_unstemmed Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds
title_sort Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds
author Moreira, Luís Carlos Rodrigues
author_facet Moreira, Luís Carlos Rodrigues
Figueiredo, Joana
Fonseca, Pedro
Vilas-Boas, João P.
Santos, Cristina
author_role author
author2 Figueiredo, Joana
Fonseca, Pedro
Vilas-Boas, João P.
Santos, Cristina
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Moreira, Luís Carlos Rodrigues
Figueiredo, Joana
Fonseca, Pedro
Vilas-Boas, João P.
Santos, Cristina
dc.subject.por.fl_str_mv Science & Technology
topic Science & Technology
description Understanding the lower limb kinematic, kinetic, and electromyography (EMG) data interrelation in controlled speeds is challenging for fully assessing human locomotion conditions. This paper provides a complete dataset with the above-mentioned raw and processed data simultaneously recorded for sixteen healthy participants walking on a 10 meter-flat surface at seven controlled speeds (1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0km/h). The raw data include 3D joint trajectories of 24 retro-reflective markers, ground reaction forces (GRF), force plate moments, center of pressures, and EMG signals from Tibialis Anterior, Gastrocnemius Lateralis, Biceps Femoris, and Vastus Lateralis. The processed data present gait cycle-normalized data including filtered EMG signals and their envelope, 3D GRF, joint angles, and torques. This study details the experimental setup and presents a brief validation of the data quality. The presented dataset may contribute to (i) validate and enhance human biomechanical gait models, and (ii) serve as a reference trajectory for personalized control of robotic assistive devices, aiming an adequate assistance level adjusted to the gait speed and user's anthropometry.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-12
2021-04-12T00:00:00Z
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.uri.fl_str_mv https://hdl.handle.net/1822/89600
url https://hdl.handle.net/1822/89600
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Moreira, L., Figueiredo, J., Fonseca, P. et al. Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds. Sci Data 8, 103 (2021). https://doi.org/10.1038/s41597-021-00881-3
2052-4463
10.1038/s41597-021-00881-3
33846357
103
https://www.nature.com/articles/s41597-021-00881-3
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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