DocumentCode :
1342568
Title :
A New Spatiotemporal Filtering Method for Single-Trial Estimation of Correlated ERP Subcomponents
Author :
Jarchi, Delaram ; Sanei, Saeid ; Principe, Jose C. ; Makkiabadi, Bahador
Author_Institution :
Center of Digital Signal Process., Cardiff Univ., Cardiff, UK
Volume :
58
Issue :
1
fYear :
2011
Firstpage :
132
Lastpage :
143
Abstract :
A novel spatiotemporal filtering method for single trial estimation of event-related potential (ERP) subcomponents is proposed here. Unlike some previous works in ERP estimation, the proposed method is able to estimate temporally correlated ERP subcomponents such as P3a and P3b. A new cost function is, therefore, defined which can deflate one of the correlated subcomponents. The method is applied to both simulated and real data and has shown to perform very well even in low signal-to-noise ratio situations. In addition, the method is compared to spatial principal component analysis and its superiority has been confirmed by using simulated signals. The approach can be especially useful in mental fatigue analysis where the relative variability of P300 subcomponents is the key factor in detecting the level of fatigue.
Keywords :
bioelectric potentials; electroencephalography; filtering theory; medical signal processing; P3a ERP subcomponent; P3b ERP subcomponent; correlated ERP subcomponent single trial estimation; event related potential subcomponents; fatigue level detection; spatial principal component analysis comparison; spatiotemporal filtering method; temporally correlated ERP subcomponent estimation; Brain modeling; Correlation; Equations; Estimation; Mathematical model; Principal component analysis; Scalp; Constraint; event-related potential (ERP); spatiotemporal filtering; subcomponent; Algorithms; Brain; Computer Simulation; Electroencephalography; Evoked Potentials; Humans; Principal Component Analysis; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2010.2083660
Filename :
5594624
Link To Document :
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