Using EEG features of eye- blinking for the paralyzed patient

It's being looked into. Ability to read brain signals, analyse the data, and use the information to build a simulation system move a pointer on a computer screen using the eye blink of the patient, in order to compensate for those who are completely paralysed, communicate with other people, define brain waves and distinguish between them according to the frequency range in which they operate, and choose the EMOTIV device. Using the Fast Fourier Transform (FFT) and a band filter, we were able to capture brain signals from channels AF3-AF4-T7, which are the channels of the sensor that detect eye blinks clearly, and utilise this information to engage with the patient.