EMPOWER Early Feasibility Study: Non-invasive BCI to Control a Wheelchair for People With Paralysis
NCT ID: NCT06169696
Last Updated: 2024-01-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
NOT_YET_RECRUITING
NA
6 participants
INTERVENTIONAL
2024-11-30
2025-01-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
The device is a discreet EEG headset which specializes in decoding signals from visual cortex, allowing users to initiate precise wheelchair movements through focused attention. This research seeks to demonstrate Neuralis' potential in revolutionizing assistive technology by offering a non-invasive, user-friendly solution for individuals facing motor impairments, ultimately enhancing their quality of life.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Visuomotor Prosthetic for Paralysis
NCT01958086
A P300 Brain Computer Interface to Operate Power Wheelchair Tilt
NCT01123148
COMMAND Early Feasibility Study: Implantable BCI to Control a Digital Device for People With Paralysis
NCT05035823
Use of "Smart Wheelchairs" to Provide Independent Mobility to Visual and Mobility Impairments
NCT00333762
Sensory Motor Transformations in Human Cortex
NCT01964261
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
The key breakthrough lies in Neuralis' capability to extract brain activity from subtle eye movements. Through this interaction, Neuralis decodes subtle EEG signals, effectively translating them into precise wheelchair navigation commands.
The device interfaces seamlessly with a user-friendly Neuralis mobile app, serving as the central control hub. This intuitive application handles calibration settings, connectivity, and destination selections through a simplified visual click-based protocol. The slim BCI headset captures EEG data, transmitting it via Bluetooth to the connected smartphone. Subsequently, the data is relayed to a secure cloud server, which houses an advanced computational infrastructure employing edge computing principles for optimal response times.
Within this cloud environment, a proprietary machine learning pipeline for EEG decoding and intent classification operates. Certain latency-sensitive steps run on the phone, while the cloud handles additional model training and personalization, leveraging scalable processing power. This dynamic architecture ensures a swift and near-instantaneous translation of the user's movement intentions into seamless wheelchair maneuverability.
What sets Neuralis apart is its ability to deliver robust functionality in a discreet, user-friendly manner. Its lightweight construction, comprising only four sensors, maximizes comfort while capturing essential visual cortex signals vital for nimble maneuvering. This fusion of advanced neurotechnology and user-centric design positions Neuralis as a significant leap forward in assistive devices, bridging the gap between usability and high-performance functionality for individuals with severe neuromuscular conditions.
Neuralis is completely non-invasive and built from stable, off the shelf parts. All data is encrypted.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
NA
SINGLE_GROUP
DEVICE_FEASIBILITY
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Patient Group / Arm
Use of non-invasive EEG headband device
Intervention/Treatment
Non-invasive EEG headband device
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Intervention/Treatment
Non-invasive EEG headband device
Other Intervention Names
Discover alternative or legacy names that may be used to describe the listed interventions across different sources.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
2. Able to give consent
3. Appropriate candidate for device
4. Able and willing to access all clinical testing and not impeded by geographical location
5. Proficient in English
6. Have a study partner
Exclusion Criteria
2. History of epilepsy
3. Psychiatric or psychological disorder
4. No study partner or caregiver
5. Unable to provide evidence of COVID vaccination
21 Years
75 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Synaptrix Labs Inc.
INDUSTRY
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Synaptrix Labs
New York, New York, United States
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Aryan Govil
Role: primary
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
SYNL-01-01
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.