Classification of epileptic EEG signals based on simple random sampling and sequential feature selection

Electroencephalogram (EEG) signals are used broadly in the medical fields. The main applications of EEG signals are the diagnosis and treatment of diseases such as epilepsy, Alzheimer, sleep problems and so on. This paper presents a new method which extracts and selects features from multi-channel E...

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Detalles Bibliográficos
Autores principales: Ghayab, Hadi Ratham Al, Li, Yan, Abdulla, Shahab, Diykh, Mohammed, Wan, Xiangkui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883170/
https://www.ncbi.nlm.nih.gov/pubmed/27747606
http://dx.doi.org/10.1007/s40708-016-0039-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883170/
https://www.ncbi.nlm.nih.gov/pubmed/27747606
http://dx.doi.org/10.1007/s40708-016-0039-1

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