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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Clinically Available Control Algorithm (MyoPro) | Active Comparator | Binary control of the orthosis is based on a clinically available control algorithm. This condition serves as a control. Participants will use a commercially available device, the MyoPro. |
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| High-Density EMG Control Algorithm | Experimental | Control of the orthosis is based on residual muscle activity mapped to intended movement using advanced predicted algorithms. This condition is a novel algorithm and serves as the experimental condition. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| commercially available control algorithm | Other | Control of the prosthesis/orthosis is based on clinical standard of care using commercially available control algorithms. |
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| Measure | Description | Time Frame |
|---|---|---|
| Box and Blocks Test (BBT) | 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. | while using the device (up to 2 hours) |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Heidi Hansen, BS | Contact | 801.585.2373 | heidi.hansen@hsc.utah.edu | |
| Jacob Wilson, BS | Contact | 801.581.8911 | jacob.wilson@hsc.utah.edu |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Utah | Recruiting | Salt Lake City | Utah | 84132-2101 | United States |
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| ID | Term |
|---|---|
| D010291 | Paresis |
| ID | Term |
|---|---|
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| experimental control algorithm | Other | Control of the orthosis is based on residual muscle activity mapped to intended movement using high density electromyography and artificial intelligence control algorithms. |
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