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Diagnosing epilepsy using entropy measures and embedding parameters of EEG signals
In this study, we could find effective embedding-based and entropy-based features as appropriate single measures for identifying abnormal activities that can efficiently discriminate the EEG signals of epileptics from healthy individuals.
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