A machine learning system for automated whole-brain seizure detection

• Published in: Applied computing & informatics Vol. 12; no. 1; pp. 70 - 89
• Main Authors: Fergus, P., Hussain, A., Hignett, David, Al-Jumeily, D., Abdel-Aziz, Khaled, Hamdan, Hani
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2016; Elsevier; Emerald Publishing
• Subjects: Classification; Computer Science; Electroencephalogram; Engineering Sciences; Machine learning; Non-seizure; Oversampling; Seizure; Signal and Image processing; Seizure; Oversampling; Electroencephalogram; Machine learning; Classification; Non-seizure

Epilepsy is a chronic neurological condition that affects approximately 70 million people worldwide. Characterised by sudden bursts of excess electricity in the brain, manifesting as seizures, epilepsy is still not well understood when compared with other neurological disorders. Seizures often happe...