Towards Restoring Complex Movement After Paralysis: Algorithm Development With Healthy Participants
Recruiting now · Not applicable
Conditions studied: Movement Disorders, Neurorehabilitation, Non-invasive Activity Recording
In brief
Participants will perform experiments with non-invasive activity recordings. The study will record from multiple non-invasive signal sources that reflect motor intent that may include: electroencephalography (EEG), electromyography (EMG), functional near infrared spectroscopy (fNIRS), inertial measurement units (IMUs), eye movements, pupil size, and speech. Participants will wear all or a subset of these sensors and be asked to perform, imagine, or attempt movements or speech. The recorded sensor signals will be decoded to help guide an end effector, which may be a computer, robotic arm, wheelchair, or other assistive device. These experiments present minimal risk and participants may withdraw participation at any time for any reason. Participants may return for additional experiments if desired and to perform additional comparisons. If a participant withdraws during a comparison, another participant will be recruited to complete collection of data for that comparison.
Key facts
- Study ID
- NCT07236892
- Run by
- University of California, Los Angeles
- People needed
- 50
- Starts
- 2025-11-26
- Expected to finish
- 2029-12-01
- Last updated by the study team
- 2025-12-24
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Fluent in the English language
You may not qualify if…
- Neurological injury or disease that results in functional paralysis
Where it is running
- UCLA Neural Engineering and Computation Lab — Los Angeles, California, United States (enrolling)
Full record on ClinicalTrials.gov
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