VA research has been advancing a high-performance brain-computer interface (BCI) to improve independence for Veterans and others living with tetraplegia or the inability to speak resulting from amyotrophic lateral sclerosis, spinal cord injury or stoke. In this project, the investigators enhance deep learning neural network decoders and multi-state gesture decoding for increased accuracy and reliability and deploy them on a battery-powered mobile BCI device for independent use of computers and touch-enabled mobile devices at home. The accuracy and usability of the mobile iBCI will be evaluated with participants already enrolled separately in the investigational clinical trial of the BrainGate neural interface.
Inclusion criteria are extensive and are determined by the associated BrainGate IDE(clinicaltrials.gov # NCT00912041)
Informally, participants will be tetraplegic or anarthric with little or no functional use of the arms and legs
Exclusion criteria are extensive and are determined by the associated BrainGate IDE(clinicaltrials.gov # NCT00912041).
Single group
Mobile neural decoding platform (mobile iBCI)
DeviceAn embedded neural signal processor device will be evaluated for its ability to provide accurate and reliable closed-loop control in a home-based brain-computer interface.
Closed-loop performance in an iBCI cursor task
Rate of successful closed-loop acquisition of on-screen targets using imagined gestures to move a computer cursor or to select icons on a computer screen.
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This trial is not recruiting at the moment. You can still explore other options:
