Improving EEG-Based Motor Imagery Classification for Real-Time Applications Using the QSA Method

We present an improvement to the quaternion-based signal analysis (QSA) technique to extract electroencephalography (EEG) signal features with a view to developing real-time applications, particularly in motor imagery (IM) cognitive processes. The proposed methodology (iQSA, improved QSA) extracts f...

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Detalles Bibliográficos
Autores principales: Batres-Mendoza, Patricia, Ibarra-Manzano, Mario A., Guerra-Hernandez, Erick I., Almanza-Ojeda, Dora L., Montoro-Sanjose, Carlos R., Romero-Troncoso, Rene J., Rostro-Gonzalez, Horacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733871/
https://www.ncbi.nlm.nih.gov/pubmed/29348744
http://dx.doi.org/10.1155/2017/9817305

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733871/
https://www.ncbi.nlm.nih.gov/pubmed/29348744
http://dx.doi.org/10.1155/2017/9817305

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