Effective and extensible feature extraction method using genetic algorithm-based frequency-domain feature search for epileptic EEG multiclassification

In this paper, genetic algorithm-based frequency-domain feature search (GAFDS) method is proposed for the electroencephalogram (EEG) analysis of epilepsy. In this method, frequency-domain features are first searched and then combined with nonlinear features. Subsequently, these features are selected...

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Detalles Bibliográficos
Autores principales: Wen, Tingxi, Zhang, Zhongnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
5300
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428623/
https://www.ncbi.nlm.nih.gov/pubmed/28489789
http://dx.doi.org/10.1097/MD.0000000000006879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428623/
https://www.ncbi.nlm.nih.gov/pubmed/28489789
http://dx.doi.org/10.1097/MD.0000000000006879

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