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NCT Number: NCT05509101

Improving Myoelectric Prosthetic and Orthotic Limb Control

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.

Recruiting

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Key information

Age range

18 year–70 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

University of Utah

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

Location status: Recruiting

Location contact

Heidi Hansen

CONTACT

[email protected]

801.585.2373

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

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.

Primary outcomes

  1. Box and Blocks Test (BBT)

    Time frame: 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.

Study contacts

Contact information is provided by the study sponsor or research team.

Heidi Hansen, BS

CONTACT

[email protected]

801.585.2373

Jacob Wilson, BS

CONTACT

[email protected]

801.581.8911

Sponsors and collaborators

Lead sponsor

University of Utah

Other

Registry information

Official study title

Improving Myoelectric Prosthetic and Orthotic Limb Control Using Predictive Regression Algorithms and High-count Surface Electrodes

Important dates

Study start
2017
Primary completion
2027
Study completion
2027
First posted
Aug 19, 2022
Registry last updated
May 6, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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