  Controlling the surrounding world and predicting future events has always
seemed like a dream, but that could become a reality using a
Brain-Computer/Machine Interface (BCI/BMI). Epilepsy is a group of neurological
diseases characterized by epileptic seizures. It affects millions of people
worldwide, with 80 percent of cases occurring in developing countries. This can
result in accidents and sudden, unexpected death. Seizures can happen
undetectably in newborns, comatose, or motor-impaired patients, especially due
to the fact that many medical personnel is not qualified for EEG signal
analysis. Therefore, a portable automated detection and monitoring solution is
in high demand. Thus, in this study, a system of a wireless wearable adaptive
for early prediction of epilepsy seizures is proposed, works via minimally
invasive wireless technology paired with an external control device (e.g., a
doctors smartphone), with a higher than standard accuracy 71 percent and
prediction time (14.56 sec). This novel architecture has not only opened new
opportunities for daily usable BCI implementations, but they can also save a
life by helping to prevent a seizure fatal consequences
