Removal of Muscle Artifacts from Single-Channel EEG Based on Ensemble Empirical Mode Decomposition and Multiset Canonical Correlation Analysis
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Electroencephalogram (EEG) recordings are often contaminated with muscle artifacts.
This disturbing muscular activity strongly affects the visual analysis of EEG and impairs the results of EEG signal processing such as brain connectivity analysis.
If multichannel EEG recordings are available, then there exist a considerable range of methods which can remove or to some extent suppress the distorting effect of such artifacts.
Yet to our knowledge, there is no existing means to remove muscle artifacts from single-channel EEG recordings.
Moreover, considering the recently increasing need for biomedical signal processing in ambulatory situations, it is crucially important to develop single-channel techniques.
In this work, we propose a simple, yet effective method to achieve the muscle artifact removal from single-channel EEG, by combining ensemble empirical mode decomposition (EEMD) with multiset canonical correlation analysis (MCCA).
We demonstrate the performance of the proposed method through numerical simulations and application to real EEG recordings contaminated with muscle artifacts.
The proposed method can successfully remove muscle artifacts without altering the recorded underlying EEG activity.
It is a promising tool for real-world biomedical signal processing applications.
American Psychological Association (APA)
Chen, Xun& He, Chen& Peng, Hu. 2014. Removal of Muscle Artifacts from Single-Channel EEG Based on Ensemble Empirical Mode Decomposition and Multiset Canonical Correlation Analysis. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-458345
Modern Language Association (MLA)
Chen, Xun…[et al.]. Removal of Muscle Artifacts from Single-Channel EEG Based on Ensemble Empirical Mode Decomposition and Multiset Canonical Correlation Analysis. Journal of Applied Mathematics No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-458345
American Medical Association (AMA)
Chen, Xun& He, Chen& Peng, Hu. Removal of Muscle Artifacts from Single-Channel EEG Based on Ensemble Empirical Mode Decomposition and Multiset Canonical Correlation Analysis. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-458345
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458345