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Dataset for gait analysis and assessment of fall risk for older adults
This article presents a five-part dataset for human gait analysis in a healthy older adult population (37 women and seven men; age 69.98 [Formula: see text] 8.57 years, body mass index 27.71 [Formula: see text] 4.57). Part 1 compromises demographic data for the 44 participants, along with the result...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701341/ https://www.ncbi.nlm.nih.gov/pubmed/33294534 http://dx.doi.org/10.1016/j.dib.2020.106550 |
Sumario: | This article presents a five-part dataset for human gait analysis in a healthy older adult population (37 women and seven men; age 69.98 [Formula: see text] 8.57 years, body mass index 27.71 [Formula: see text] 4.57). Part 1 compromises demographic data for the 44 participants, along with the results of the Short Physical Performance Battery (SPPB) motor function test and the Mini-Mental State Examination (MMSE). We used the MMSE to ensure the participants could understand the experimental protocol instructions. Part 2 presents the anthropometric measurements of the participants. Part 3 shows the results for each item of the Gait component of the Performance Oriented Mobility Assessment (POMA-G). Part 4 contains five files per participant, storing motion-capture data for the lower limb in the Coordinate 3D (C3D) format. These files were generated using a Vicon motion analysis system, consisting of 24 reflective markers and seven cameras (Vantage V5) sampled at 100 Hz. Part 5 contains 26 gait parameters for each C3D file obtained using Nexus 2.9.3. The dataset is available in a Mendeley repository (Reserved DOI: 10.17632/xgw6bg3g8h.1). |
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