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Neonatal Seizure Detection Using Deep Convolutional Neural Networks

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, no. 4 (2019): 1850011

Cited by: 36|Views119
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Abstract

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 using deep convolutional neural networks...More

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