Analysis Of Eeg Signal For The Detection Of Brain Abnormalities

CR.Sri Priyanka Reddy, G.V Maha lakshmi


In the field of medical science, one of the major ongoing researches is the diagnosis of the abnormalities in brain. The Electroencephalogram (EEG) is a tool for measuring the brain activity which reflects the condition of the brain. EEG is very effective tool for understanding the complex behaviour of the brain. The aim of this study is to classify the EEG signal as normal or abnormal. It is proposed to develop an automated system for the classification of brain abnormalities. The proposed system includes pre-processing, feature extraction, feature selection and classification. In pre-processing the noises are removed. The discrete wavelet transform is used to decompose the EEG signal into sub-band signals. The feature extraction methods are used to extract the time domain and frequency domain features of the EEG signal.

Full Text:


Copyright (c) 2017 Edupedia Publications Pvt Ltd

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


EduPedia Publications Pvt Ltd, D-351, Prem Nagar-2, Suleman Nagar, Kirari, Nagloi, New Delhi PIN-Code 110086, India Through Phone Call us now: +919958037887 or +919557022047

All published Articles are Open Access at

Paper submission: or


Mobile:                  +919557022047 & +919958037887


Journals Maintained and Hosted by

EduPedia Publications (P) Ltd in Association with Other Institutional Partners

Pen2Print and IJR are registered trademark of the Edupedia Publications Pvt Ltd.