2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) 2022
DOI: 10.1109/melecon53508.2022.9843099
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Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm

Abstract: Epilepsy affects 50 million people worldwide and is one of the most common serious neurological disorders. Seizure detection and classification is a valuable tool for diagnosing and maintaining the condition. An automated classification algorithm will allow for accurate diagnosis. Utilising the Temple University Hospital (TUH) Seizure Corpus, six seizure types are compared; absence, complex partial, myoclonic, simple partial, tonic and tonicclonic models. This study proposes a method that utilises unique featu… Show more

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