The efficacy of transcranial direct current stimulation effect on vigilance decrement predicted by a fuzzy logic model

Vigilance quantification and fatigue modulation are concerned. However, previous vigilance quantification methods often face limitations in label subjectivity and interpretability when monitoring prolonged task performance. To address these challenges, we established a novel three-layer fuzzy logic framework to explore the feasibility of utilizing the three types of EEG features (amplitudes and latencies of ERPs, power ratio) to predict the vigilance decrement, and to determine a clear mapping relationship for vigilance quantification. Using objective time-on-task behavioral performance, we achieved the classification between vigilance, moderate vigilance, and fatigue, as well as the assessment of intervention effect of transcranial direct current stimulation technology (tDCS) on the vigilance decrement. The results demonstrate that we achieved an average classification accuracy (90.91%) between vigilance, moderate vigilance, and fatigue states, and the tDCS can remediate the vigilance decrement effect to a certain extent.