A Stereovision EEG Channel Selection Method Based on Cross Increment Entropy Maximization

Abstract

Electroencephalography (EEG) has been widely used in the research on stereo vision because it is a convenient neuroimaging technology. However, the multi-channel EEG signals make laboratory operations complicated, and the data analysis is also easily affected by redundant channels. Therefore, we proposed a method called Cross Increment Entropy Maximization (CIEM) for the selection of EEG channels. Results showed that the channels related to stereoscopic vision could be effectively preserved by CIEM. This method is significant for the removal of the interference of redundant channels and the facilitation of experimental process.