SimTK: Data-driven prediction of gait with ankle exoskeletons: Downloads

Downloads

Modeling and analysis

These files contain CSV files of inverse kinematics results, combined with experimental electromyography data and estimated exoskeleton torque profiles. Code for data-driven modeling and analysis are included.

Initial dataset and code submission

Jun 19, 2020

This is the initial submission of code and datasets for data-driven modeling and analysis of gait with passive exoskeletons. View License

Download Package

Download Links

README.rtf

Jun 19, 2020

156 KB

Any

Data/images/video

This document summarizes the datasets (CSV files) for each participant, containing joint kinematics, muscle activity, and exoskeleton torque profiles. The document also contains descriptions of data-driven modeling and analysis code.

P01.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P01 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P02.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P02 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P03.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P03 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P04.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P04 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P05.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P05 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P06.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P06 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P09.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P09 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P07.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P07 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P08.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P08 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P10.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P10 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P11.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P11 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

P12.zip

Jun 19, 2020

25 MB

Any

Data/images/video

P12 - Datasets containing CSV files of kinematics, electromyography, and exoskeleton torque profiles for each exoskeleton condition. Files identifying initial contact events for each condition are included.

Modeling Results.zip

Jun 19, 2020

191 MB

Any

Data/images/video

Data-driven model prediction accuracy results and sample predictions. These files are used in the Statistical Analysis code package.

Modeling Code.zip

Jun 19, 2020

338 KB

Any

Data/images/video

Python code used to generate data-driven prediction models of gait with exoskeletons.

Statistical Analysis Code.zip

Jun 19, 2020

42 KB

Any

Data/images/video

MATLAB code used to generate figures and run statistical analyses of data-driven model predictions.

ParticipantInformation.csv

Aug 25, 2020

598

Any

Data/images/video

Information about participants and the exoskeleton stiffness levels.

PLEASE CITE THESE PAPERS

Rosenberg Michael C., Banjanin Bora S., Burden Samuel A. and Steele Katherine M. 2020 Predicting walking response to ankle exoskeletons using data-driven models. J. R. Soc. Interface.1720200487. (2020) View

Simulation datasets

Datasets from the manuscript: Rosenberg MC, et al., "Predicting walking response to ankle exoskeletons using data-driven models," Submitted to: Journal of the Royal Society Interface, 2020.

Initial dataset submission

Jun 19, 2020

Initial submission of datasetsNotes View License

Download Package

Download Links

P04.zip

Jun 19, 2020

71 MB

Any

Data/images/video

P04 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

README.rtf

Jun 19, 2020

80 KB

Any

Data/images/video

Contains descriptions of the musculoskeletal models and associated datasets.

P0X_unscaled_AFO.osim

Jun 19, 2020

743 KB

Any

Data/images/video

A generic musculoskeletal model with the marker set used in scaling and inverse kinematics.

P01.zip

Jun 19, 2020

71 MB

Any

Data/images/video

P01 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

P02.zip

Jun 19, 2020

63 MB

Any

Data/images/video

P02 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

P03.zip

Jun 19, 2020

70 MB

Any

Data/images/video

P03 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

P05.zip

Jun 19, 2020

69 MB

Any

Data/images/video

P05 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

P06.zip

Jun 19, 2020

71 MB

Any

Data/images/video

P06 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

P07.zip

Jun 19, 2020

70 MB

Any

Data/images/video

P07 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

P08.zip

Jun 19, 2020

70 MB

Any

Data/images/video

P08 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

P09.zip

Jun 19, 2020

69 MB

Any

Data/images/video

P09 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

P11.zip

Jun 19, 2020

69 MB

Any

Data/images/video

P11 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

P10.zip

Jun 19, 2020

70 MB

Any

Data/images/video

P10 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

P12.zip

Jun 19, 2020

70 MB

Any

Data/images/video

P12 - Dataset including a scaled model, marker trajectories, ground reaction forces, and setup files for scaling and inverse kinematics.

ADDITIONAL PAPERS

Predicting walking response to ankle exoskeletons using data-driven models Michael C. Rosenberg, Bora S. Banjanin, Samuel A. Burden, Katherine M. Steele bioRxiv 2020.06.18.105163; doi: https://doi.org/10.1101/2020.06.18.105163 (2020) View

Template Signatures code

This package contains MATLAB-based code package to identify hybrid Template Signatures of center-of-mass dynamics during walking with ankle exoskeletons. Modeling, analysis, and plotting code sets are included. Some functions are unmodified from: Mangan NM, Kutz JN, Brunton SL, Proctor JL. Model selection for dynamical systems via sparse regression and information criteria. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2017 Aug 31;473(2204):20170009.

Hybrid-SINDy modeling code

Jun 16, 2022

This code package contains code to run and analyze template-like gait dynamics with ankle exoskeletons. The package also contains a synthetic spring-loaded inverted pendulum walker used to implement the Hybrid-SINDy algorithm for gait. View License

Download Links

HybridSINDyGaitCode.zip

Oct 29, 2023

13 MB

Any

Data/images/video

This code package enables rapid identification of data-driven whole-leg gait dynamics during walking. The code is applied to gait with exoskeletons and can be tested on the data provided in the Template Signatures Dataset.

Template Signatures datasets

This package contains CSV files of center-of-mass kinematics, and foot position estimates from OpenSim 3.3 for 12 unimpaired adults and one adult with post-stroke hemiparesis during walking with and without ankle exoskeletons. Participant demographics are also included. A sample synthetic dataset of a spring-loaded inverted pendulum walker is included for validation of the Hybrid-SINDy algorithm.

Initial Release

Jan 21, 2022

This is the initial release View License

Download Links

Datasets to generate Template Signautres.zip

Dec 10, 2022

511 MB

Any

Data/images/video

Datasets containing MAT files of center-of-mass and foot kinematics, and ground reaction forces for 13 adults walking with and without passive ankle exoskeletons. A synthetic dataset of a spring-loaded inverted pendulum is included for algorithm validation.

Human data Hybrid-SINDy results.zip

Oct 19, 2023

8 MB

Any

Data/images/video

Results files from the Hybrid-SINDy analysis, used to generate figures for human walking in shoes only and with bilateral passive ankle exoskeletons. Exoskeleton conditions were zero-stiffness and high-stiffness (5 Nm/deg). Results are included for analyses using a logarithmic range of Gaussian noise levels added to the position measurements. Results contain indices for hybrid regimes (single and double-limb support) and template signatures.

Simulated SLIP Hybrid-SINDy results.zip

Oct 19, 2023

106 MB

Any

Data/images/video

Results files from the Hybrid-SINDy analysis, used to generate manuscript figures for the synthetic datasets of a simulated spring-loaded inverted pendulum walker. Results are included for analyses using a logarithmic range of Gaussian noise levels added to the position measurements.

Synthetic SLIP datasets to generate Template Signautres.zip

Oct 30, 2023

45 MB

Any

Data/images/video

Datasets containing MAT files of center-of-mass and foot kinematics for a synthetic dataset of a spring-loaded inverted pendulum during walking at different speeds.

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