EEG-Based Epilepsy Recognition via Multiple Kernel Learning

In the field of brain-computer interfaces, it is very common to use EEG signals for disease diagnosis. In this study, a style regularized least squares support vector machine based on multikernel learning is proposed and applied to the recognition of epilepsy abnormal signals. The algorithm uses the...

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Detalles Bibliográficos
Autores principales: Yao, Yufeng, Ding, Yan, Zhong, Shan, Cui, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542487/
https://www.ncbi.nlm.nih.gov/pubmed/33062042
http://dx.doi.org/10.1155/2020/7980249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542487/
https://www.ncbi.nlm.nih.gov/pubmed/33062042
http://dx.doi.org/10.1155/2020/7980249

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