Automatic interictal epileptiform discharge (IED) detection based on convolutional neural network (CNN)

Clinical diagnosis of epilepsy significantly relies on identifying interictal epileptiform discharge (IED) in electroencephalogram (EEG). IED is generally interpreted manually, and the related process is very time-consuming. Meanwhile, the process is expert-biased, which can easily lead to missed di...

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Detalles Bibliográficos
Autores principales: Zhang, Ling, Wang, Xiaolu, Jiang, Jun, Xiao, Naian, Guo, Jiayang, Zhuang, Kailong, Li, Ling, Yu, Houqiang, Wu, Tong, Zheng, Ming, Chen, Duo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119410/
https://www.ncbi.nlm.nih.gov/pubmed/37091867
http://dx.doi.org/10.3389/fmolb.2023.1146606

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119410/
https://www.ncbi.nlm.nih.gov/pubmed/37091867
http://dx.doi.org/10.3389/fmolb.2023.1146606

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