Authors
Uttam Kumar, Ran Yu, Michael Wenzel, Elena Demidova
Publication date
2024/5/1
Book
Pacific-Asia Conference on Knowledge Discovery and Data Mining
Pages
258-270
Publisher
Springer Nature Singapore
Description
Early detection of an epileptic seizure’s onset is crucial to reduce the impact of seizures on the patient’s health. The Electroencephalogram (EEG) has been widely used in clinical epileptology for continuous, long-term measurement of electrical activity in the brain. Despite numerous EEG-based approaches employing diverse models and feature extraction methods for seizure detection, these methods rarely tackle the more challenging task of early detection of the seizure onset, especially as only a few EEG channels are impacted at the onset, and the seizure evidence is minimal. Furthermore, EEG-based seizure onset detection remains challenging due to the sparse, imbalanced, and noisy data, as well as the complexity posed by the diverse nature of epileptic seizures in patients. In this paper, we propose Co-ReaSON – a novel approach towards early detection of focal seizure onsets by considering the onset …
Total citations
Scholar articles
U Kumar, R Yu, M Wenzel, E Demidova - Pacific-Asia Conference on Knowledge Discovery and …, 2024