Published on 01 January 2024
Anthropometric and Spatiotemporal gait parameters of Ghanaian university students.
View DatasetKan-Dapaah, Kwabena;Boakye, Darlington
Description
This study introduces an improved method for gait analysis and clinical decision-making, addressing the lack of normative spatiotemporal gait data for young Ghanaian adults. A dataset comprising 300 individuals (213 males, 87 females; aged 20.40 9 ±1.62years; height 1.69 ±0.12m; weight 64.51 ±10.68kg) wearing six Magneto Inertial Measurement Units (MIMU) sensors was collected during walking trials on a specified path at self-selected speeds (6.14±1.79 seconds).
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Publication Details
Subfield
Biomedical Engineering
Field
Engineering
Domain
Physical Sciences
Confidence Score
46%
Source
Scholar Data Model
Keywords
Biomechanical engineeringRehabilitation engineering