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Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis
Joint Authors
Peng, Hu
Wang, Z. Jane
Liu, Aiping
Chen, Xun
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Corticomuscular activity modeling based on multiple data sets such as electroencephalography (EEG) and electromyography (EMG) signals provides a useful tool for understanding human motor control systems.
In this paper, we propose modeling corticomuscular activity by combining partial least squares (PLS) and canonical correlation analysis (CCA).
The proposed method takes advantage of both PLS and CCA to ensure that the extracted components are maximally correlated across two data sets and meanwhile can well explain the information within each data set.
This complementary combination generalizes the statistical assumptions beyond both PLS and CCA methods.
Simulations were performed to illustrate the performance of the proposed method.
We also applied the proposed method to concurrent EEG and EMG data collected in a Parkinson’s disease (PD) study.
The results reveal several highly correlated temporal patterns between EEG and EMG signals and indicate meaningful corresponding spatial activation patterns.
In PD subjects, enhanced connections between occipital region and other regions are noted, which is consistent with previous medical knowledge.
The proposed framework is a promising technique for performing multisubject and bimodal data analysis.
American Psychological Association (APA)
Chen, Xun& Liu, Aiping& Wang, Z. Jane& Peng, Hu. 2013. Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-469157
Modern Language Association (MLA)
Chen, Xun…[et al.]. Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis. Journal of Applied Mathematics No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-469157
American Medical Association (AMA)
Chen, Xun& Liu, Aiping& Wang, Z. Jane& Peng, Hu. Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-469157
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469157