An effective Brain-Computer Interface (BCI) leverages the separate strengths of both human and machine to create new capabilities or leaps in efficiencies. With B-Alert BCI development tools, developers are provided rapid prototyping tools to fit the right approach with the right task.
Within clinical environments, the results are recovery of lost function and accelerated healing. In other applications, BCIs facilitate more efficient interactions between man and machine.
BCIs applied to broader markets will benefit from the scalability of B-Alert’s core technology.
Wireless EEG enables interactive rehabilitation for neurological disorders and communication for locked in syndrome (e.g., ALS). BCI applications assess restructuring of neural pathways during recovery from stroke, TBI and spinal cord or other injury.
Prof. Paul Sajda and his team at Columbia University applied B-Alert X10 to elucidate the mechanisms of our brain’s powerful internal code when items of interest are identified. It serves as another example of B-Alert bridging the gap between neuroscience labs and real-world needs.
