%0 Journal Article
%T A classification-based method to estimate event-related potentials from single trial EEG
%A ZhiHua Huang
%A MingHong Li
%A ChangLe Zhou
%A YuanYe Ma
%J Science China Life Sciences
%@ 1869-1889
%D 2012
%I 
%R 10.1007/s11427-011-4263-x
%X A novel method based on machine learning is developed to estimate event-related potentials from single trial electroencephalography. This paper builds a basic framework using classification and an optimization model based on this framework for estimating event-related potentials. Then the SingleTrialEM algorithm is derived by introducing a logistic regression model, which could be obtained by training before SingleTrialEM is used, to instantiate the optimization model. The simulation tests demonstrate that the proposed method is correct and solid. The advantage of this method is verified by the comparison between this method and the Woody filter in simulation tests. Also, the cognitive test results are consistent with the conclusions of cognitive science.
%K classification
%K spatial-temporal signal model
%K optimization
%K logistic regression
%K SingleTrialEM Contributed equally to this work
%U http://link.springer.com/article/10.1007/s11427-011-4263-x