Machine learning algorithms for eye state prediction and meditation analysis in eeg signals

Abstract

Electroencephalography (EEG) is a measure of mind action by wave examination; it comprises number of nodes that are used for clinical purposes. There is a high need of deeper learning of the dynamics of brain that are mainly caught in EEG is the need of the medical society for an authentic and long term progression of psychophysiological and many cognitive studies. The available literatures are minimum on the studies of EEG based on their structure.It is well known that there are many differences in EEG signal between the eyes-open and eyes-closed states. Signal processing plays a vital role of any latest and advanced application involving data acquisition and assessment of EEG signal in eyes-open and eyes-closed states. newline