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The automatic detection and identification of electroencephalogram waves play an important role in the prediction, diagnosis and treatment of epileptic seizures. Unfortunately, in previous experiments, training data and test data from electroencephalogram signals are often derived from the same cases, which may affect the clinical applicability of the classifiers.
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