Simplified support vector machine method for QRS wave detection

Driver fatigue is a major risk for road accidents that can often result in injury and death. In this paper, the chaotic degree of ECG under different driving fatigue states was measured. The chaotic degree of the system was reflected by sample entropy in this paper. The relationship between different driving fatigue states and the corresponding sample entropy of ECG was analysed. The findings emphasize that the value of sample entropy was strongly correlative with the mental fatigue state, and the values of sample entropy decreased with driving times prolonged. The method proposed in this paper is expected to provide a new tool for the efforts of evaluating driving fatigue objectively.