A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
01 12 2023
01 12 2023
Historique:
received:
02
05
2023
accepted:
20
11
2023
medline:
4
12
2023
pubmed:
2
12
2023
entrez:
1
12
2023
Statut:
epublish
Résumé
This reference dataset contains biomechanical data of 138 able-bodied adults (21-86 years) and 50 stroke survivors walking bare-footed at their preferred speed. It is unique due to its size, and population, including adults across the life-span and over 70 years, as well as stroke survivors. Full-body kinematics (PiG-model), kinetics and muscle activity of 14 back and lower limbs muscles was collected with a Vicon motion capture system, ground-embedded force plates, and a synchronized surface EMG system. The data is reliable to compare within and between groups as the same methodology and infrastructure were used to gather all data. Both source files (C3D) and post-processed ready-to-use stride-normalized kinematics, kinetics and EMG data (MAT-file, Excel file) are available, allowing high flexibility and accessibility of analysis for both researchers and clinicians. These records are valuable to examine ageing, typical and hemiplegic gait, while also offering a wide range of reference data which can be utilized for age-matched controls during normal walking.
Identifiants
pubmed: 38040770
doi: 10.1038/s41597-023-02767-y
pii: 10.1038/s41597-023-02767-y
pmc: PMC10692332
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
852Subventions
Organisme : Carl-Zeiss-Stiftung (Carl Zeiss Foundation)
ID : HEIAGE
Organisme : Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders)
ID : AUHA/09/006
Informations de copyright
© 2023. The Author(s).
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