Brain networks based on EEG between high and low-proficiency operators by controlling of mineral grinding process

This paper presents the difference in brain networks between the high-proficiency operators and low-proficiency operators while they did the controlling of mineral grinding process. The brain functional connectivity during the controlling task was investigated by means of Granger causality, like partial direct coherence (PDC) based on EEG. In the experiment, the ocular artifacts were removed using Independent Component Analysis (ICA) and sample entropy. The results show that the brain networks of high-proficiency operators (Hps) are more complex and complete than low-proficiency operators' (Lps) (p<;0.05). The brain networks could be a useful method to describe the operators' proficiency.