Research Article
User Adapted Motor-Imaginary Brain-Computer Interface by means of EEG Channel Selection Based on Estimation of Distributed Algorithms
(1) solutions randomly | (2) | (3) do | (4) solutions from according to a selection method | (5) Compute the univariate and bivariate marginal frequencies and of | (6) Calculate the matrix of mutual information using bivariate and univariate marginals. | (7) Calculate the maximum weight spanning tree from the matrix of mutual information. | (8) Compute the parameters of the model. | (9) solutions (the new population) from the tree and add elitist solutions. | (10) | (11) until A stop criterion is met |
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