Classification of EEG Signals Based on Pattern Recognition Approach

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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Bibliographic Details
Main Authors: Hafeez Ullah Amin, Wajid Mumtaz, Ahmad Rauf Subhani, Mohamad Naufal Mohamad Saad, Aamir Saeed Malik
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-11-01
Series:Frontiers in Computational Neuroscience
Subjects:
feature extraction
feature selection
machine learning classifiers
electroencephalogram (EEG)
Online Access:http://journal.frontiersin.org/article/10.3389/fncom.2017.00103/full

Internet

http://journal.frontiersin.org/article/10.3389/fncom.2017.00103/full

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