Mind-Controlled exoskeleton reads muscle signals to restore natural walking after stroke
NCT ID NCT04661891
First seen Jul 14, 2026 · Last updated Jul 15, 2026 · Updated 1 time
Summary
This study tests a new way to control leg exoskeletons by reading muscle signals in real time. Researchers use high-density electrodes to capture nerve activity and predict a person's intended movement, then have the exoskeleton assist accordingly. The trial includes both healthy volunteers and people who have had a stroke, aiming to improve walking patterns and balance.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- real-time neuromuscular exoskeleton controller using high-density electromyography (HD-EMG)
- What this could lead to
- If successful, this could lead to smarter exoskeletons that help people with stroke walk more naturally and with less effort.
- What could go wrong
- This is an early-stage study focused on developing the technology, not yet proving it works in daily life. The approach may not translate to real-world walking conditions.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Shirley Ryan AbilityLab
Chicago, Illinois, 60611, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- Can juggling two tasks at once help stroke survivors walk better?
- Slow breaths, faster recovery? a trial tests breathing and neck release after stroke
- Robots vs. therapists: a head-to-head trial for stroke recovery
- Stroke recovery from home: can video-based motor training outperform standard physical therapy?