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Improving Myoelectric Prosthetic and Orthotic Limb Control
Sponsor: University of Utah
Summary
The purpose of this study is to improve control of myoelectrically-controlled advanced orthotic devices (an exoskeleton device that use the body's muscle signals to drive movements of a robotic brace) by using advanced predictive decode algorithms, and the use of high count (\> 8) surface electromyographic (sEMG) electrodes.
Official title: Improving Myoelectric Prosthetic and Orthotic Limb Control Using Predictive Regression Algorithms and High-count Surface Electrodes
Key Details
Gender
All
Age Range
18 Years - 70 Years
Study Type
INTERVENTIONAL
Enrollment
45
Start Date
2017-03-01
Completion Date
2027-12-31
Last Updated
2026-05-06
Healthy Volunteers
Yes
Conditions
Interventions
commercially available control algorithm
Control of the prosthesis/orthosis is based on clinical standard of care using commercially available control algorithms.
experimental control algorithm
Control of the orthosis is based on residual muscle activity mapped to intended movement using high density electromyography and artificial intelligence control algorithms.
Locations (1)
University of Utah
Salt Lake City, Utah, United States