Improving Myoelectric Prosthetic and Orthotic Limb Control

Improving Myoelectric Prosthetic and Orthotic Limb Control Using Predictive Regression Algorithms and High-count Surface Electrodes

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.

This study looks to improve control of myoelectrically-controlled advanced powered orthoses (orthoses that use the body's muscle signals to drive movements of a robotic exoskeleton) by using advanced predictive decode algorithms, and the use of high count (> 8) surface electromyographic (sEMG) electrodes.

Inclusion Criteria:

• First-ever ischemic or hemorrhagic stroke
• Chronic Stroke (at least 6 months since onset)
• Chronic hemiparesis
• Functional range of motion for contralateral arm

Exclusion Criteria:

• Individuals who are currently Incarcerated