Neonatal Seizure Detection Using Deep Convolutional Neural Networks

• Published in: International journal of neural systems Vol. 29; no. 4; p. 1850011
• Main Authors: Ansari, Amir H, Cherian, Perumpillichira J, Caicedo, Alexander, Naulaers, Gunnar, De Vos, Maarten, Van Huffel, Sabine
• Format: Journal Article
• Language: English
• Published: Singapore 01.05.2019
• Subjects: Algorithms; Deep Learning - trends; Electroencephalography - methods; Electroencephalography - trends; Humans; Infant, Newborn; Neural Networks, Computer; Seizures - diagnosis; Seizures - physiopathology; Deep neural networks; random forest; convolutional neural network; neonatal seizure detection

Identifying a core set of features is one of the most important steps in the development of an automated seizure detector. In most of the published studies describing features and seizure classifiers, the features were hand-engineered, which may not be optimal. The main goal of the present paper is...