Apte, Salil (2020): Simulation of human gait with body weight support: benchmarking models and unloading strategies. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:5899cdbf-e270-4a51-8d87-c226b5fd80dd

Dataset

• Mechanical Engineering
• Biomedical Engineering
• Human Movement and Sports Science

Body weight support, Gait models, Gait rehabilitation, Human locomotion

GPL-3.0

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

by Salil Apte

This code package was generated for two purposes: First, to evaluate the accuracy of some of the most prevalent walking models in replicating human walking under the influence of Constant-Force BWS: The Simplest Walking model (SW), the Spring-Loaded Inverted Pendulum model (SLIP) and the Muscle-Reflex (MR) gait model using human experimental data. This experimental data is obtained from a systematic review, the dataset for which can be found at: https://doi.org/10.4121/uuid:6c42843c-6b07-4255-ad0f-7f6d8a994251. Second, three realizations of body weight support strategies, based on Constant-Force (CF), Counterweight (CW) and Tuned-Spring (TS) approaches, are compared to each other in terms of their influence on gait parameters. The model files and scripts necessary for running the simulations are included here. Since the gait data extraction and processing from the simulation is not fully automated, the gait parameter data used for the manuscript is also incorporated here. A 'readme' text file is included for more details.

• 2020-06-05 first online, published, posted

4TU.Centre for Research Data

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• https://doi.org/10.1186/s12984-020-00697-z

• Horizon 2020 Framework Programme, info:eu-repo/grantAgreement/EC/H2020/10152

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE)