Automated Detection of High-Frequency Oscillations in Epilepsy Based on a Convolutional Neural Network

Automated Detection of High-Frequency Oscillations in Epilepsy Based on a Convolutional Neural Network

Epilepsy is one of the most common chronic neurological diseases. High-frequency oscillations (HFOs) have emerged as promising biomarkers for the epileptogenic zone. However, visual marking of HFOs is a time-consuming and laborious process. Several automated techniques have been proposed to detect H...

Full description

Bibliographic Details
Main Authors: Rui Zuo, Jing Wei, Xiaonan Li, Chunlin Li, Cui Zhao, Zhaohui Ren, Ying Liang, Xinling Geng, Chenxi Jiang, Xiaofeng Yang, Xu Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Computational Neuroscience
Subjects:
epilepsy
convolutional neural network
high-frequency oscillations
ripples
fast ripples
automated detection
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2019.00006/full

Internet

https://www.frontiersin.org/article/10.3389/fncom.2019.00006/full

Similar Items