Recruiting

Myoelectric Control

Sponsor:

University of Utah

Code:

NCT05509101

Conditions

Hemiparesis

Eligibility Criteria

Sex: All

Age: 18 - 70

Healthy Volunteers: Accepted

Interventions

commercially available control algorithm

experimental control algorithm

Study Details

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.

Conditions

Hemiparesis

Study ID

NCT05509101

Start date

Mar 1, 2017

Status verified date

Apr, 2026

Completion date

Dec 31, 2027

Anticipated

Primary completion date

Jul 31, 2027

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: All

Age: 18 - 70

Healthy Volunteers: Accepted

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

Enrollment

45 participants

Anticipated

Allocation

Randomized

Intervention Model

Crossover

Primary purpose

Other

Interventions and Outcome Measures

Arms

active comparator: Clinically Available Control Algorithm (MyoPro)

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.

experimental: High-Density EMG 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.

Interventions

commercially available control algorithm

Control of the prosthesis/orthosis is based on clinical standard of care using commercially available control algorithms.

experimental control algorithm

Control of the orthosis is based on residual muscle activity mapped to intended movement using high density electromyography and artificial intelligence control algorithms.

Primary outcome measure

  • Box and Blocks Test (BBT) [ Time Frame: while using the device (up to 2 hours) ]

Central Contacts and Locations

Central contacts

Heidi Hansen, BS

801.585.2373heidi.hansen@hsc.utah.edu

Jacob Wilson, BS

801.581.8911jacob.wilson@hsc.utah.edu

Locations

University of Utah

Recruiting

Salt Lake City, Utah, United States, 84132-2101

Contacts

Heidi Hansen

801.585.2373heidi.hansen@hsc.utah.edu

More Information

Sponsor

University of Utah

Last update posted

May 6, 2026

Last verified

Apr, 2026

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-09. This information was provided to ClinicalTrials.gov by University of Utah on 2026-05-06.