Hemiparesis
Conditions
Brief 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.
Detailed description
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.
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.
Sponsors
Study design
Eligibility
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Box and Blocks Test (BBT) | while using the device (up to 2 hours) | The Box and Blocks test is performed using the orthotic device under each condition. The individual puts on the device for a maximum of two hours. During that time wearing the device, they will use two different algorithms for controlling the device to complete the Box and Blocks Test. |
Countries
United States