Improving Myoelectric Prosthetic and Orthotic Limb Control

Not Applicable

Recruiting

• Conditions: Hemiparesis
• Interventions: Other: commercially available control algorithm; Other: experimental control algorithm

• Registration Number: NCT05509101
• Lead Sponsor: University of Utah

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.

Study Timeline

• Study Start: 2017-03-01
• Study First Submitted: 2022-08-15
• Study First Submitted QC: 2022-08-17
• Study First Posted: 2022-08-19
• Status Verified: 2023-09
• Last Update Submitted: 2023-09-21
• Last Update Posted: 2023-09-25
• Primary Completion: 2025-08-31
• Study Completion: 2025-08-31

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 45

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

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: CROSSOVER

Arm && Interventions

Group	Intervention	Description
Clinically Available Control Algorithm (MyoPro)	commercially available control algorithm	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.
High-Density EMG Control Algorithm	experimental control algorithm	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.

Primary Outcome Measures

Name	Time	Method
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.

Trial Locations

Locations (1)

University of Utah; 🇺🇸 Salt Lake City, Utah, United States