Classification of Resampled Pediatric Epilepsy EEG Data Using Artificial Neural Networks with Discrete Fourier Transforms

Classification of Resampled Pediatric Epilepsy EEG Data Using Artificial Neural Networks with Discrete Fourier Transforms

Epilepsy is a neurological disorder commonly observed in children. Currently, electroencephalography (EEG) is widely used as the most important diagnostic method for epilepsy in medical practice. The diagnosis of epilepsy in pediatric patients is challenging due to their high level of activity and i...

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Bibliographic Details
Main Authors: Temel Sonmezocak, Gizem Guler, Merih Yildiz
Format: Article
Language:English
Published: Kaunas University of Technology 2023-12-01
Series:Elektronika ir Elektrotechnika
Subjects:
electroencephalography
epileptic seizure
discrete transforms
machine learning
Online Access:https://eejournal.ktu.lt/index.php/elt/article/view/34433

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https://eejournal.ktu.lt/index.php/elt/article/view/34433

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