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A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors

Lookup NU author(s): Dr Lizeth SlootORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

© 2023, The Author(s).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.

Publication metadata

Author(s): Van Criekinge T, Saeys W, Truijen S, Vereeck L, Sloot LH, Hallemans A

Publication type: Article

Publication status: Published

Journal: Scientific Data

Year: 2023

Volume: 10

Issue: 1

Online publication date: 01/12/2023

Acceptance date: 20/11/2023

Date deposited: 07/02/2024

ISSN (electronic): 2052-4463

Publisher: Nature Research

URL: https://doi.org/10.1038/s41597-023-02767-y

DOI: 10.1038/s41597-023-02767-y

PubMed id: 38040770

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