Optimal selection of EEG electrodes via DPSO algorithm

An experiment was designed to record the electroencephalography (EEG) when people caught the vision of different directional moving (turning right, turning left, moving forward, moving backward). The EEG signals were obtained from 30 EEG electrode sites. The tagged permutations of EEG electrode sites were obtained and a discrete space was formed by the tags. DPSO algorithm was used to search the optimal permutation of electrode sites through the discrete space. Based on the optimal permutation of EEG electrode sites, the features were obtained. This method was compared with F-score (another electrode sites selecting method). The result shows that the DPSO selecting method is obviously better than F-score.