Review on classification of EEG data for different Applications

Abstract

This paper discusses different paradigms of analyzing EEG signals which can provide useful insights of cognitive state of mind, it may be either clinical conditions like Epilepsy, Alzheimer or rehabilitative purposes like Brain Computer Interface. This paper provides extensive review on both the above approaches which uses different kind of algorithms to predict cognitive state. Analysis is done on different components of algorithm like feature extraction and classification. The paper also explores various new paradigms of research in EEG.