A small, portable, battery-powered brain-computer interface system for motor rehabilitation.

Area of Science:

• Biomedical Engineering
• Neuroscience
• Rehabilitation Technology

Background:

• Brain-computer interface (BCI) systems offer potential for motor rehabilitation after stroke or spinal cord injury.
• Current BCI systems are often too large, expensive, and complex for widespread clinical use.

Purpose of the Study:

• To develop a small, portable, and cost-efficient (<$200) BCI system for motor rehabilitation.
• To evaluate the performance of this novel BCI system in able-bodied subjects.

Main Methods:

• Developed a BCI system utilizing a custom electroencephalographic (EEG) amplifier array, microcontroller, and touchscreen.
• Tested the system with 3 able-bodied subjects performing a foot dorsiflexion task.
• Acquired and analyzed EEG signals in real-time to decode movement intentions.

Main Results:

• EEG signals from the custom array showed high similarity to a commercial amplifier (ρ=0.85).
• Real-time BCI performance achieved an average correlation of ρ=0.70 between cues and decoded states, comparable to larger systems.
• The system demonstrated feasibility for decoding motor intentions with minimal user experience.

Conclusions:

• A small, portable, and inexpensive BCI system has been successfully developed.
• This technology has the potential to significantly increase the accessibility of BCI-based rehabilitation.
• Widespread adoption of such systems could benefit individuals with stroke and spinal cord injuries.