EEg Based Depression Level Monitoring Using Signal Processing technique Nishitha P.1, Reji M.1, raja P. C. Kishore2 1Student, Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha University, Chennai, India 2Professor, Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha University, Chennai, India Online published on 16 January, 2018. Abstract One of the majority common mental disorders that at its worst can lead to suicide is the depression. Curable stage of depression is diagnosing which is very significant. Alcoholism and sleep disorders are also the depression disorders. In this project, publicly available database is used to get Electroencephalogram Gram (EEG) signals processed in MATLAB. This can be useful in classifying subjects with the disorders using classifier tools present in it. For this goal, the features are extracted from frequency bands (alpha, theta and delta). Top Keywords EEG signals, Depression, Brain disorders, psychosomatic disorders, Normal and excited brain, Anxiety. Top |