Data underlying the publication: Neglected physical human-robot interaction may explain variable outcomes in gait neurorehabilitation research

doi: 10.4121/15059439.v1
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: 10.4121/15059439
Datacite citation style:
Plooij, M.C. (Michiel); Apte, Salil; Keller, Urs; Baines, Patricia; Sterke, Bram et. al. (2021): Data underlying the publication: Neglected physical human-robot interaction may explain variable outcomes in gait neurorehabilitation research. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/15059439.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
During gait neurorehabilitation, many factors influence the quality of gait patterns, particularly the chosen body-weight support (BWS) device. Consequently, robotic BWS devices play a key role in gait rehabilitation of people with neurological disorders. The device transparency, support force vector direction and attachment to the harness vary widely across existing robotic BWS devices, but the influence of these factors on the production of gait remains unknown. As this information is critical to design an optimal BWS, we systematically studied these determinants in this work. With a highly transparent device and a conventional harness, we found that healthy subjects select a small backward force when asked for optimal BWS conditions. This unexpected finding challenges the view that during human-robot interactions, humans predominantly optimize energy efficiency. Instead, they might seek to increase their feeling of stability and safety. We also demonstrate that the location of the attachment points on the harness strongly impacts gait patterns, while harness attachment is hardly reported in literature. Our results establish new principles for the design of BWS devices and personalization of BWS settings for gait neurorehabilitation.
history
  • 2021-09-17 first online, published, posted
publisher
4TU.ResearchData
format
.m; .mat; .fig; .txt; .zip
funding
  • Marie-Curie Career integration grant, PCIG13-GA-2013-618899
  • Wings for Life
  • Eurostars 10152
  • National Center of Competence in Research (NCCR) Robotics of the Swiss National Foundation
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of BioMechanical Engineering
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Motek Medical B.V.
Onward Medical
Centre hospitalier universitaire vaudois (CHUV)

DATA

files (2)