AI-Powered arm brace could give stroke patients a better grip

NCT ID NCT05509101

Recruiting now Symptom relief Sponsor: University of Utah Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests whether a new AI-powered algorithm can improve how people with chronic arm weakness from a stroke control a robotic arm brace. Participants will use both the standard control method and the experimental algorithm while moving blocks. The goal is to see if the new approach makes the brace easier and more natural to use.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: experimental control algorithm using high-density electromyography and artificial intelligence
What this could lead to: If successful, this could lead to more natural and effective control of robotic arm braces for people with arm weakness after a stroke.
What could go wrong: This is a small, early-stage study with only 45 participants. The new algorithm may not work better than current methods, and results may not apply to everyone.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

hemiplegia Paresis stroke disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HEMIPARESIS

Contacts and locations

Locations

University of Utah
RECRUITING

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

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