A Single-Trial Event-Related Potential Estimation Based on Independent Component Analysis and Kalman Smoother

2018 ◽  
Author(s):  
Jingwei Zhang ◽  
Luzheng Bi ◽  
Jinling Lian ◽  
Cuntai Guan
Keyword(s):  
Independent Component Analysis ◽  
Component Analysis ◽  
Event Related Potential ◽  
Independent Component ◽  
Single Trial ◽  
Kalman Smoother

SINGLE-TRIAL BASED INDEPENDENT COMPONENT ANALYSIS ON MISMATCH NEGATIVITY IN CHILDREN

2010 ◽  
Vol 20 (04) ◽  
pp. 279-292 ◽  
Author(s):  
FENGYU CONG ◽  
IGOR KALYAKIN ◽  
TIINA HUTTUNEN-SCOTT ◽  
HONG LI ◽  
HEIKKI LYYTINEN ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Digital Filter ◽  
Mismatch Negativity ◽  
Low Frequency ◽  
Component Analysis ◽  
Event Related Potential ◽  
Independent Component ◽  
Frequency Noise ◽  
Theoretical Expectation ◽  
Single Trial

Independent component analysis (ICA) does not follow the superposition rule. This motivates us to study a negative event-related potential — mismatch negativity (MMN) estimated by the single-trial based ICA (sICA) and averaged trace based ICA (aICA), respectively. To sICA, an optimal digital filter (ODF) was used to remove low-frequency noise. As a result, this study demonstrates that the performance of the sICA+ODF and aICA could be different. Moreover, MMN under sICA+ODF fits better with the theoretical expectation, i.e., larger deviant elicits larger MMN peak amplitude.

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