EMK-SVM based on the parameters listed in Table 1 is performed for automatic classification of stroke patients and healthy controls. An initial population of 100 kernel function trees was created and then iteratively proceeded through 100 generations with the genetic operations. The initial generation consisted of highly unfit individuals. The intermediate generations contained a few somewhat fit individuals. The final generation of each run contained at least one individual that was effective in solving the classification problem. The optimal kernel functions are shown in Table 5. For example, the optimal kernel function for 0-back task classification with theta band power feature was exp(−1.68 K Poly 2 K RBF 2), which occured in generation 79.
