Simplified Support Vector Machine Method for QRS Wave Detection

被引：0
|
作者：
Zeng, Zhi-qiang [1 ,2 ]
Wu, Qun [2 ]
Wu, Ke-Shou [1 ]
机构：
[1] Xiamen Univ Technol, Dept Comp Sci & Engn, Xiamen 361024, Fujian Province, Peoples R China
[2] Zhejiang Univ, Coll Comp Sci & Engn, Hangzhou 310027, Peoples R China
来源：
2009 IEEE 10TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED INDUSTRIAL DESIGN & CONCEPTUAL DESIGN, VOLS 1-3: E-BUSINESS, CREATIVE DESIGN, MANUFACTURING - CAID&CD'2009 | 2009年
基金：
中国国家自然科学基金;
关键词：
Driving Fatigue; ECG; Sample entropy; FATIGUE;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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 driving fatigue objectively.
引用
收藏
页码：1427 / +
页数：2
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