Improving Myoelectric Prosthetic and Orthotic Limb Control
Improving Myoelectric Prosthetic and Orthotic Limb Control Using Predictive Regression Algorithms and High-count Surface Electrodes
University of Utah
45 participants
Mar 1, 2017
INTERVENTIONAL
Conditions
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.
Eligibility
Inclusion Criteria4
- First-ever ischemic or hemorrhagic stroke
- Chronic Stroke (at least 6 months since onset)
- Chronic hemiparesis
- Functional range of motion for contralateral arm
Exclusion Criteria1
- Individuals who are currently Incarcerated
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Interventions
Control of the prosthesis/orthosis is based on clinical standard of care using commercially available control algorithms.
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)
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NCT05509101