Classification of EEG Signals Based on Pattern Recognition Approach

Feature extraction is an important step in the process of electroencephalogram (EEG) signal classification. The authors propose a “pattern recognition” approach that discriminates EEG signals recorded during different cognitive conditions. Wavelet based feature extraction such as, multi-resolution d...

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Detalles Bibliográficos
Autores principales: Amin, Hafeez Ullah, Mumtaz, Wajid, Subhani, Ahmad Rauf, Saad, Mohamad Naufal Mohamad, Malik, Aamir Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702353/
https://www.ncbi.nlm.nih.gov/pubmed/29209190
http://dx.doi.org/10.3389/fncom.2017.00103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702353/
https://www.ncbi.nlm.nih.gov/pubmed/29209190
http://dx.doi.org/10.3389/fncom.2017.00103

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