Brain-computer interface (BCI) circumvents motor output and conveys messages directly from the brain to a computer. Thus, BCI can provide us with new communication tools for patients with severe neurological or motor diseases. Such as those who have locked-in syndrome (LIS).
The results show that EEG based P300 matrix BCI speller can be used as a communication tool for individuals severely disabled by ALS or other motor disease. Interestingly, the results suggest that evoked potential over central areas contribute significantly to the performance of the EEG based P300 speller.
The results demonstrated that the sensory motor rhythms can be voluntarily controlled by individuals by imagining movements. This ability can be taken as a control signal for BCI systems. Thus, through BCI devices we can translate the intent of a person to control a one or two-dimensional cursor rapidly and accurately. Therefore, BCI can provide us with a new communication tool for patients with severe neurological or motor diseases. Such as those who have locked-in syndrome.