Towards Restoring Complex Movement After Paralysis: Algorithm Development With Healthy Participants
Restoring Complex Movement and Locomotion After Paralysis Through Collaborative Copilots: Algorithm Development With Healthy Participants
University of California, Los Angeles
50 participants
Nov 26, 2025
INTERVENTIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria1
- Fluent in the English language
Exclusion Criteria1
- Neurological injury or disease that results in functional paralysis
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Interventions
Participants may be prompted to imagine, attempt, or perform actions while a task is being performed on a computer, robotic arm, wheelchair, or exoskeleton. Participants may also autonomously perform actions to control each end effector. Participants may be asked to control a cursor to acquire a target or multiple targets. Participants may be asked to pick and place various objects, interact with articulated objects, or perform other motor tasks using a robotic manipulator. Participants may be asked to navigate a wheelchair.
Locations(1)
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NCT07236892