Volume : IX, Issue : I, January - 2019

BRAIN TUMOUR DETECTION VIA EEG SIGNALS

S. Karthikeyan, T. Manikandan

Abstract :

Electroencephalogram (EEG) is a way of monitoring the ain’s spontaneous electrical activity. It is considered to be the best way for diagnosing tumour and other ain disorders in the human ain. This work presents a diagnostic system to classify EEG signal as tumour or normal. Here the system uses the back propagation with a feed forward algorithm for classification, which uses the neural network classifier. During the neural network training phase, the extracted statistical features from the EEG signal were presented to the neural network with the help of set of database samples. During the neural network testing phase, the neural network classifies the test sample set as normal or ain tumour based on the training given. The obtained results show that, the proposed system gives better classification accuracy for the different test samples over the existing methods.

Keywords :

Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

BRAIN TUMOUR DETECTION VIA EEG SIGNALS, S.Karthikeyan, T.Manikandan INDIAN JOURNAL OF APPLIED RESEARCH : Volume-9 | Issue-1 | January-2019

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