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Application of Fuzzy Logic for Epileptic Seizure Detection
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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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