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
2 other identifiers
interventional
50
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Nov 2025
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 14, 2025
CompletedFirst Posted
Study publicly available on registry
November 19, 2025
CompletedStudy Start
First participant enrolled
November 26, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2029
December 24, 2025
December 1, 2025
4 years
November 14, 2025
December 22, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Normalized Performance
The normalized performance of the non-invasive assistive interface on a task. Non-invasive signals, which may include electroencephalography, electromyography, functional near infrared spectroscopy, inertial measurements units, eye movements, pupil size, and speech are input into an algorithm that controls an end effector's movements. The end effector, which may be a computer cursor, robotic manipulator, wheelchair, or other assistive device, is used to perform a motor task. The normalized performance is derived from the the performance of the end effector on the motor task, reflecting the overall performance of the non-invasive assistive interface. The minimum value is zero. There is no maximum value, although the values are usually less than 1. Higher is better.
Usually one visit (Day 1), with possible additional study visits usually within a month.
Study Arms (1)
Healthy Participants
EXPERIMENTALParticipants will perform a subset of tasks while non-invasive activity is recorded which may include EEG, EMG, IMUs, fNIRS, eye gaze, or pupillometry.
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.
Eligibility Criteria
You may qualify if:
- Fluent in the English language
You may not qualify if:
- Neurological injury or disease that results in functional paralysis
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UCLA Neural Engineering and Computation Lab
Los Angeles, California, 90095, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jonathan Kao, PhD
UCLA Neural Engineering and Computation Lab
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor, UCLA ECE & CS
Study Record Dates
First Submitted
November 14, 2025
First Posted
November 19, 2025
Study Start
November 26, 2025
Primary Completion (Estimated)
December 1, 2029
Study Completion (Estimated)
December 1, 2029
Last Updated
December 24, 2025
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF
- Time Frame
- Data will be available no later than the time of an associated publication or the end of performance period of the extramural award that generated the data, whichever comes first. DASH, which is an NIH-recommended domain-specific repository, has usually long retention cycles and will often host data "in perpetuity." The PI will not take down the data any sooner.
- Access Criteria
- Scientific data and metadata will be archived on NICHD Data and Specimen Hub (DASH). DASH automatically assigns a digital object identifier (doi) to data files. DASH is an NIH-controlled-access data repository. The NICHD DASH Data Access Committee reviews all requests to access DASH data and biospecimens from identity-verified requesters to determine whether the proposed use is scientifically and ethically appropriate and does not conflict with constraints or research data use limitations identified by the institutions that submitted the research data. The Recipient's institution and the Recipient must sign and agree to the terms and conditions.
* Identifier data, along with non-invasive activity (e.g., EEG, EMG, fNIRS, IMU, eye gaze) and corresponding behavior (e.g., cursor kinematics, robotic arm joint angles, wheelchair kinematics) will be generated for participants. The species is human, format .bin (binary file), amount per experiment approximately 6 GB. * Non-invasive activity and corresponding behavior will be preserved and shared, corresponding to nonidentifiable data collected during experiments. * Documentation will be provided to facilitate interpretation of the data. * Specialized tools, software, or code are not needed. The data is stored in Python, which is freely available, and can be loaded following documentation. * No consensus standard exists. These will be custom datasets for the particular experimental tasks. All data will be de-identified before sharing.