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Application of Fuzzy Logic for Epileptic Seizure Detection

Shaik. Jakeer Husain, Dr.K. Srinivasa Rao

Abstract


In this work fuzzy logic approach was presented for
epileptic seizure detection. The EEG signal is decomposed into five sub bands using discrete wavelet transforms. Energy, Covariance, Inter quartile Range (IQR), and Median absolute deviation (MAD) features were extracted from each sub band and considered as the inputs for a fuzzy system Fuzzy rules were derived based on expert's knowledge and reasoning .For each sub band fuzzy system is applied the fuzzy output is combined from each sub band and threshold technique is applied to discriminate normal and epileptic. The overall
classification accuracy of 97 %was achieved.


Keywords


Electroencephalogram (EEG) Epileptic Seizures, Discrete Wavelet Transform (DWT).

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