Research of complexity of specific evoked EEG signals

To recognize the specific evoked EEG signals is the popular track in biomedical signal processing. This paper mainly introduced a specific method to recognize the three specific cognitive states. By the way of computing the complexity of the evoked EEG signals, we analyzed the specific thinking-evoked EEG signal and found that there were some significant differences under the three different cognitive states. The differences were mainly located in the complexity of channel C3 and C4. This method provides an effective approach to recognize the three different states and the result of the recognition can be used as the controlling signals for extra usages.