Robust Deep Network with Maximum Correntropy Criterion for Seizure Detection

Effective seizure detection from long-term EEG is highly important for seizure diagnosis. Existing methods usually design the feature and classifier individually, while little work has been done for the simultaneous optimization of the two parts. This work proposes a deep network to jointly learn a...

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Detalles Bibliográficos
Autores principales: Qi, Yu, Wang, Yueming, Zhang, Jianmin, Zhu, Junming, Zheng, Xiaoxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106070/
https://www.ncbi.nlm.nih.gov/pubmed/25105136
http://dx.doi.org/10.1155/2014/703816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106070/
https://www.ncbi.nlm.nih.gov/pubmed/25105136
http://dx.doi.org/10.1155/2014/703816

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