The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/51cf7f2e-9cf6-4b4e-8944-7e7369514816

Sterke, Bram; Poggensee, Katie; Lemus Perez, Daniel; Vallery, Heike (2023): Data underlying the publication: Light-weight wearable gyroscopic actuators can modulate balance performance and gait characteristics: a proof-of-concept study. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/51cf7f2e-9cf6-4b4e-8944-7e7369514816.v1

Dataset

• Mechanical Engineering
• Other Health
• Biomedical Engineering
• Engineering
• Health

balance beam, biomechanical, gait, gyroscopic actuator, robotics, walking, wearable

Summer 2023

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Bram Sterke , Katie Poggensee , Daniel Lemus Perez , Heike Vallery

This dataset contains the .mat exports from Qualisys recordings related to study to the GyroPack investigation.

It contains static and dynamic balance tests on a balance beam and 2 minute walking trials on a treadmill. All with and without the GyroPack, where the GyroPack is set to various control-modes; placebo, negative damper, low intensity damper, and high intensity damper.

• 2023-10-26 first online, published, posted

4TU.ResearchData

zipped .mat, .rmd, and .m files

• https://osf.io/yh8wm/

Erasmus Medical Center, Department of Rehabilitation Medicine
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Biomechatronics & Human-Machine Control