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...

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Detalles Bibliográficos
Autores principales: Zuo, Rui, Wei, Jing, Li, Xiaonan, Li, Chunlin, Zhao, Cui, Ren, Zhaohui, Liang, Ying, Geng, Xinling, Jiang, Chenxi, Yang, Xiaofeng, Zhang, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379273/
https://www.ncbi.nlm.nih.gov/pubmed/30809142
http://dx.doi.org/10.3389/fncom.2019.00006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379273/
https://www.ncbi.nlm.nih.gov/pubmed/30809142
http://dx.doi.org/10.3389/fncom.2019.00006

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