Related Experiment Video
Updated: Jun 8, 2025

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
Published on: May 25, 2019
Real-time EEG-based detection of driving fatigue using a novel semi-dry electrode with self-replenishment of
Fuwang Wang1, Anni Luo1, Daping Chen1
1School of Mechanic Engineering, Northeast Electric Power University, Jilin, China.
Abstract:
A novel semi-dry electrode that can realize self-replenishment of conductive liquid is proposed in this study. Driving fatigue is detected by extracting the refined composite multiscale fluctuation dispersion entropy (RCMFDE) features in electroencephalogram (EEG) signals collected by this electrode. The results show that the new semi-dry electrode can automatically complete the conductive fluid supplement according to its own humidity conditions, which not only notably improves the effective working time, but also significantly reduces the skin impedance. By comparing with the classical entropy algorithms, the computational speed and the stability of the RCMFDE method are Substantially enhanced.

