Mind over matter: new algorithm could let paralysis patients control devices with thoughts

NCT ID NCT07236892

Recruiting now Knowledge-focused Sponsor: University of California, Los Angeles Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is developing algorithms that decode brain and body signals to help people with paralysis control assistive devices like robotic arms, wheelchairs, or computer cursors. Fifty healthy participants will perform tasks while wearing non-invasive sensors such as EEG and EMG. The goal is to improve how these devices interpret a person's intent to move.

What this could mean

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

What this could lead to: If successful, this could lead to better assistive devices that help people with paralysis move and communicate using their own brain and body signals.
What could go wrong: This is an early-stage study with healthy participants, not people with paralysis. The algorithms may not work as well in real-world conditions or for those with neurological injuries.

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.

movement disorder

As listed by the trial registrant

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

MOVEMENT DISORDERS NEUROREHABILITATION NON-INVASIVE ACTIVITY RECORDING

Contacts and locations

Locations

UCLA Neural Engineering and Computation Lab
RECRUITING

Los Angeles, California, 90095, United States

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