Abstract:The article explores the possibility of using the entropy characteristics of the time series of the electroencephalogram signal for the task of automatically detecting epileptic seizures by electroencephalogram recording. Because of the brain is a complex distributed active environment, selfoscillating processes take place in it. These processes can be judged by the EEG signal, which is a reflection of the total electrical activity of brain neurons. Based on the assumption that during an epileptic seizure, exc… Show more
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