Table 4 shows the results achieved with four selected features using the EMK-SVM classifier distinguishing stroke patients versus healthy controls. The classification results obtained in 0-back and 1-back tasks ranged from 75% to 91.67%. In 0-back task, the accuracy for RMS or theta band power was the highest, 91.67%, while that for peak latency was the lowest, 78.4%. In 1-back task, the accuracy for theta band power was the highest, 82.23%, while that for peak latency was the lowest, 75%. As mentioned above, the general classification accuracy of 0-back task was higher than that of 1-back task. It can be seen that theta band power is the best feature used for the classification.
