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A seizure prediction system has the potential to significantly help patients with epilepsy. For a seizure forecasting system to work effectively, computational algorithms must reliably identify periods with high probability of seizure occurrence. We herein report results of a classification approach based on machine learning of EEG features in the frequency domain and aimed at differentiating between...
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