Classification of Motor Functions from Electroencephalogram (EEG) Signals Based on an Integrated Method Comprised of Common Spatial Pattern and Wavelet Transform Framework

In this work, an algorithm for the classification of six motor functions from an electroencephalogram (EEG) signal that combines a common spatial pattern (CSP) filter and a continuous wavelet transform (CWT), is investigated. The EEG data comprise six grasp-and-lift events, which are used to investi...

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Detalles Bibliográficos
Autores principales: Yahya, Norashikin, Musa, Huwaida, Ong, Zhong Yi, Elamvazuthi, Irraivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891287/
https://www.ncbi.nlm.nih.gov/pubmed/31717412
http://dx.doi.org/10.3390/s19224878

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891287/
https://www.ncbi.nlm.nih.gov/pubmed/31717412
http://dx.doi.org/10.3390/s19224878

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