Model of independent component analysis with reference curve and its application in removing artifact from electroencephalograph
Lizhi Cui, Zhihao Ling, Josiah Poon, Simon Kar-Sing Poon · Advances in computer science research · 2015
This paper proposes a model named Independent Component Analysis with Reference Curve (ICARC) to extract and remove artifact signal from Electroencephalogram (EEG).Firstly, an additional requirement and a priori information are introduced directly into the contrast function of the traditional ICA model.Then, an augmented Lagrangian function is formed based on this new model.Finally, the iterative solution is calculated by using the Newton iterative method.The simulations and experiments are implemented to indicate the performance of our model comparing with other method.The results show that: 1) more stable results are given by our model; 2) higher precision is obtained in the results by the ICARC model.