SimTK: Computational Prediction of FastFES Muscle Stimulation in Post-stroke Gait: Downloads

Computational Prediction of FastFES Muscle Stimulation in Post-stroke Gait

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FastFES Non-responder Raw Data

This package contains gait data (surface marker motion, ground reactions, and EMG) for a non-responder to post-stroke FastFES gait rehabilitation.

Release 1

Apr 30, 2019

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RawFES1-7.zip

Apr 30, 2019

137 MB

Any

Data/images/video

Walking with FES trials 1-7

RawFES8-14.zip

Apr 30, 2019

138 MB

Any

Data/images/video

Walking with FES trials 8-14

RawFES15-20.zip

Apr 30, 2019

109 MB

Any

Data/images/video

Walking with FES trials 15-20

RawWalkingTrials.zip

Apr 30, 2019

107 MB

Any

Data/images/video

Non-stimulated walking trials.

RawTrace-Squat-Static.zip

Apr 30, 2019

102 MB

Any

Data/images/video

Foot trace, squat, and static trials

RawJointCal.zip

Apr 30, 2019

101 MB

Any

Data/images/video

Joint isolation trials

RawFESCalibration1-10.zip

Apr 30, 2019

108 MB

Any

Data/images/video

FES calibration trials 1-10

RawFESCalibration11-20.zip

Apr 30, 2019

129 MB

Any

Data/images/video

FES calibration trials 11-20

FastFES Prediction Code

Matlab code for predicting FastFES parameters to maximize propulsive force symmetry. Code is intended as a reference not a professional release. It is provided "as is" without support.

Release 1

Apr 30, 2019

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Code.zip

Apr 30, 2019

586 KB

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Data/images/video

All code. Subfolders are split up into the steps taken to calibrate the model and then perform optimization of AP force symmetry.

SimTK is maintained through Grant R01GM124443 01A1 from the National Institutes of Health (NIH). It was initially developed as part of the Simbios project funded by the NIH as part of the NIH Roadmap for Medical Research, Grant U54 GM072970.

Version 4.2.2. Website design by Viewfarm. Icons created by SimTK team using art by GraphBerry from www.flaticon.com under a CC BY 3.0 license. Forked from FusionForge 6.0.5.

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