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Automatic detection of EEG waves plays a significant role in diagnosis of epilepsy The automatic recognition and identification of electroencephalogram waves play a significant part in the prediction, treatment and analysis of epileptic seizures. Unfortunately, in earlier experiments, training data and check data from electroencephalogram indicators are often produced from the same cases, which might affect the medical applicability of the classifiers. Zhen Zhang and co-workers from Zhongshan College of Medicine, Sun Yat-sen University mixed a non-linear dynamics index-approximate entropy with a support vector machine which has strong generalization capability to classify electroencephalogram indicators at epileptic interictal and ictal intervals.