Abstract
In this study, an EEG signal classification framework was proposed. The framework contained three feature extraction methods refer to optimization strategy. Firstly, we selected optimal electrodes based on the single electrode classification performance and combined all the optimal electrodes’ data as the feature. Then, we discussed the contribution of each time span of EEG signals for each electrode and joined all the optimal time spans’ data together to be used for classifying. In addition, we further selected useful information from original data based on genetic algorithm. Finally, the performances were evaluated by Bayes and SVM classifiers on BCI 2003 Competition data set Ia. And the accuracy of genetic algorithm has reached 91.81%. The experimental results show that our methods offer the better performance for reliable classification of the EEG signal.
Highlights
The state of mind of a person is supported by the brain activity
Evaluation the EEG signal classification method based on optimal time span combination: We divide the each single electrode into 7 time sub-spans in order to improve the EEG signal classification based on the time spans combination
According to the EEG classification performance, on one hand, comparing with the results of the EEG signal classification based on optimal electrodes combination, we find that the EEG signal classification based on optimal time spans performance is better
Summary
The state of mind of a person is supported by the brain activity. EEG is one of the brain imaging and recording techniques that can be used to investigate human brain's activity. EEG based Brain Computer Interface (BCI) has been an area of significant research activity with a variety of techniques being used to recognize and interpret brain events as a form of interface to a computer or other device, rather than for medical diagnosis or neuroscience research. Such a technique will open up new ways of controlling robots or making robots behave more like human beings. It enabled the patient who was paralyzed and unable to have the opportunity to communicate with the world
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