2023
DOI: 10.1007/s10470-023-02153-z
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General and patient-specific seizure classification using deep neural networks

Abstract: Seizure prediction algorithms have been central in the field of data analysis for the improvement of epileptic patients’ lives. The most recent advancements of which include the use of deep neural networks to present an optimized, accurate seizure prediction system. This work puts forth deep learning methods to automate the process of epileptic seizure detection with electroencephalogram (EEG) signals as input; both a patient-specific and general approach are followed. EEG signals are time structure series mot… Show more

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Cited by 3 publications
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