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ADVANCED TOPICS IN ELECTRICAL ENGINEERING – ATEE 2017

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Comparison of the ICA and PCA methods in correction of EEG signal artefacts

The paper presents application and comparison of two methods based on blind source separation problem: Principal Component Analysis (PCA) and Independent Components Analysis (ICA) as well as combining these methods. Both methods might be applied in the task of artifact eliminating from the electroencefalography (EEG) signal. Such artefacts might be related to eye-blinks, muscle artifacts etc. The case study described in the paper presents the results of correcting various kinds of artifacts using these methods and its comparison to manual artifacts detection performed by an expert.

Author(s):

Monika KACZOROWSKA    
Lublin University of Technology, Institute of Computer Science
Poland

Malgorzata PLECHAWSKA-WOJCIK    
Lublin University of Technology, Institute of Computer Science
Poland

Mikhail TOKOVAROV    
Lublin University of Technology, Institute of Computer Science
Poland

Roman DMYTRUK    
Lublin University of Technology, Institute of Computer Science
Poland

 

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