측두엽 간질 예측과 분류시스템
Prediction and Classification System for Temporal lobe Epilepsy
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Abstract
Epileptic seizures result from a temporary electrical disturbance of the brain. In this paper, a method of discriminatingEEG for diagnoses of temporal lobe epilepsy is proposed. The proposed method for classification of epilepsy and sleepEEG is based on the wavelet transform and the fuzzy c-means. The magnitude and mean of wavelet coefficients for eachEEG band are applied to the cluster of the FCM classifier. The proposed system show a little more accurate diagnosisfor EEG by analysis of frequency for Wavelet and the success rate of 95% classification using FCM. From the simulationresults by the implemented system, we demonstrated this research can be reduce doctor's labors and realize quantitativediagnosis of EG.
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