Machine learning approach for marking seizures on epileptic EEG
Vadim Grubov 1,2
Sergey Afinogenov 3
Vladimir Maksimenko 1,2
Nikita Utyashev 4
1 Center for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
2 Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, Innopolis, Russia
3 Faculty of Information Technology and Big Data Analysis, Financial University under the Government of the Russian Federation, Moscow, Russia
4 National Medical and Surgical Center named after N. I. Pirogov, Ministry of Healthcare of the Russian Federation, Moscow, Russia
Abstract
In this work we used machine learning approach to detect epileptic seizures on EEG data of patients. We aimed to propose an approach for preliminary EEG analysis and marking, that can possibly find application in clinical decision support systems.
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Vadim Grubov
Immanuel Kant Baltic Federal University
Russia
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