Smart System to Recognize EEG Signal for Finding Brain Diseases Using K-Means Clustering

In this paper, we are providing a research ideology, in which analysis of the EEG signal is done using an intelligent system in order to detect the brain diseases such as Epilepsy, Alzheimer’s disease etc. Here we are supposed to use clustering algorithm called k-means for distinguishing various diseases of human brain. Our main aim is to help the doctors by reducing the time complexity in analyzing EEG signal by our detection system which produces better results. We are proposing a technique of detecting epilepsy disorder and Alzheimer disease using k-means algorithm using MATLAB. The back propagation algorithm is also used in the classification network and discrete wavelet transform are used to process the EEG signal. Automated analyses of neurological disorders like Epilepsy, Alzheimer’s disease are being discussed.