Automated detection of the preseizure state in EEG signal using neural networks

• Published in: Biocybernetics and biomedical engineering Vol. 39; no. 1; pp. 160 - 175
• Main Authors: Sudalaimani, C., Sivakumaran, N., Elizabeth, Thomas T., Rominus, Valsalam S.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2019
• Subjects: Generalized regression neural networks; Interictal; Preictal; Preseizure; Seizure prediction; Sub-frequency band; Preseizure; Sub-frequency band; Interictal; Generalized regression neural networks; Seizure prediction; Preictal
• ISSN: 0208-5216
• DOI: 10.1016/j.bbe.2018.11.007

The life-threatening neural syndrome epilepsy is elicited by seizure which affects over 50 million people in the universal. A seizure is a brain condition made by excessive, unusual exoneration by nerve cells of the brain. Contemporary seizure forecast research works exhibited worthy results in both...