Automatic Detection of Epilepsy and Seizure Using Multiclass Sparse Extreme Learning Machine Classification

An automatic detection system for distinguishing normal, ictal, and interictal electroencephalogram (EEG) signals is of great help in clinical practice. This paper presents a three-class classification system based on discrete wavelet transform (DWT) and the nonlinear sparse extreme learning machine...

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Detalles Bibliográficos
Autores principales: Wang, Yuanfa, Li, Zunchao, Feng, Lichen, Zheng, Chuang, Zhang, Wenhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494790/
https://www.ncbi.nlm.nih.gov/pubmed/28706561
http://dx.doi.org/10.1155/2017/6849360

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494790/
https://www.ncbi.nlm.nih.gov/pubmed/28706561
http://dx.doi.org/10.1155/2017/6849360

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