Simulation of human gait with body weight support: benchmarking models and unloading strategies
datasetposted on 05.06.2020 by Salil Apte
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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.