Shaik.Jakeer Husain1 and Dr.K.S.Rao2
1Dept. of Electronics and Communication Engineering , Vidya Jyothi Institute of Technology, Hyderabad India
ABSTRACT
Epilepsy is one of the most common neurological disorders characterized by transient and unexpected electrical disturbance in the brain. In This paper the EEG signals are decomposed into a finite set of band limited signals termed as Intrinsic mode functions. The Hilbert transom is applied on these IMF’s to calculate instantaneous frequencies. The 2nd,3rd and 4th IMF's are used to extract features of epileptic signal. A neural network using back propagation algorithm is implemented for classification of epilepsy. An overall accuracy of 99.8% is achieved in classification.
KEYWORDS
Electroencephalogram(EEG),Hilbert-Huang transform(HHT), Instantaneous frequency (ifs), intrinsic mode function (IMF)
Original Source URL: https://airccse.org/journal/ijsc/papers/5314ijsc03.pdf
https://airccse.org/journal/ijsc/current2014.html
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