A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy

A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy

Abstract Background Convolutional neural network (CNN) has achieved state-of-art performance in many electroencephalogram (EEG) related studies. However, the application of CNN in prediction of risk factors for sudden unexpected death in epilepsy (SUDEP) remains as an underexplored area. It is uncle...

Full description

Bibliographic Details
Main Authors: Cong Zhu, Yejin Kim, Xiaoqian Jiang, Samden Lhatoo, Hampson Jaison, Guo-Qiang Zhang
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Convolutional neural network
Sudden death in epilepsy
PGES
EEG suppression
Deep learning
Online Access:https://doi.org/10.1186/s12911-020-01310-y

Internet

https://doi.org/10.1186/s12911-020-01310-y

Similar Items