Classification of EEG Signal Based on Approximate Entropy
Jihai Yang · Journal of Biomedical Engineering Research · 2004
Approximate entropy(Apen) was applied as the feature of EEG signal to classify different mental tasks, and investigate how to select the parameters,how to apply cross apen to classify different mental tasks. The results showed that the classification accuracy of Apen had better classification effects. Apen can be used as a new method to classify different mental tasks to promote the accuracy of classification and it show the certain practical value in mental task BCI system.