Automated Detection of High-Frequency Oscillations in Epilepsy Based on a Convolutional Neural Network-Reference-Cited by-同舟云学术

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

Published:2019-02-12 Issue: Volume:13 Page:
ISSN:1662-5188
Container-title:Frontiers in Computational Neuroscience
language:
Short-container-title:Front. Comput. Neurosci.

Author:

Zuo Rui,Wei Jing,Li Xiaonan,Li Chunlin,Zhao Cui,Ren Zhaohui,Liang Ying,Geng Xinling,Jiang Chenxi,Yang Xiaofeng,Zhang Xu

Funder

Capital Health Research and Development of Special

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Cellular and Molecular Neuroscience,Neuroscience (miscellaneous)

Reference44 articles.

1. Convolutional neural networks for real-time epileptic seizure detection;Achilles;Comput. Methods Biomech. Biomed. Eng.,2016

2. Deep face liveness detection based on nonlinear diffusion using convolution neural network;Alotaibi;Signal Image Video Process.,2016

3. Pitfalls of high-pass filtering for detecting epileptic oscillations: a technical note on “false” ripples;Benar;Clin. Neurophysiol.,2010

4. High-frequency oscillations in human brain;Bragin;Hippocampus,1999

5. Human intracranial high frequency oscillations (HFOs) detected by automatic time-frequency analysis;Burnos;PLoS ONE,2014

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