Improving Myoelectric Prosthetic and Orthotic Limb Control

Part of paid clinical trials in Salt Lake City, Utah.

Sponsor
University of Utah
Study ID
NCT05509101
Status
Recruiting
Apply to this trial

Conditions

  • Hemiparesis

Eligibility Criteria

Sex
ALL
Age
18 Years - 70 Years
Healthy Volunteers
Accepted

Interventions

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

Study Details

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.

Key Dates

Start date
Mar 1, 2017
Status verified
Apr 2026
Primary completion
Jul 31, 2027
Completion
Dec 31, 2027

Study Design

Enrollment
45 participants (estimated)
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
OTHER

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.

Primary Outcome Measure

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

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
University of UtahSalt Lake CityUtah84132-2101
Heidi Hansen
[email protected]
801.585.2373

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By research site
University of Utah· Salt Lake City, UT

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