Realization of Brain Fingerprinting Using P300

Abstract

EEG is a physiological signal observed in the brain as a summation of discrete electrical activity emanating from every cellular element constituting the brain. Several vital information are hidden inside an EEG signal, which can be unearthed according to our need provided by suitable mathematical models and processing. In this research work, a feature called as P300 has been extracted from the EEG waveform and proved its usage for fingerprinting the brain. Several applications can be coined with the developed algorithm, which stretching from forensic to exoskeleton command triggering. The EEG signals were taken from 120 healthy individual and tested with the standard testing protocol used in the medical industry. Wavelet transforms and neural network are implemented in the research work for efficient extraction of the P300. The accuracy obtained with the neural network is promising to be used for the applications under consideration.