Information fusion and multi-classifier system for miner fatigue recognition in plateau environments based on electrocardiography and electromyography signals

Shoukun Chen, Kaili Xu, Xiwen Yao, Ji Ge, Li Li, Siyi Zhu, Zhengrong Li

Abstract: Highlights•The first field test and study on physiological fatigue indicators for miners in plateau.•ECG and EMG multi-feature signals acquisition and preprocessing.•The fatigue characteristics were analyzed with information fusion and fatigue recognition was carried out by machine learning.•A fatigue recognition method based on information fusion technology was proposed for miners in plateau.