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| 基于血液酒精浓度和脑电特征的酒后驾车事故倾向对比研究 |
1 厦门理工学院机械与汽车工程学院, 福建省高校现代汽车设计与制造工程研究中心, 厦门 361024
2 北京理工大学机械与车辆学院, 北京 100081
3 天津工业大学机械工程学院, 天津 300160 |
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| Comparative Study of Traffic Accident Proneness for Drunk Driving via Blood Alcohol Concentration and EEG |
1 Department of Mechanical Engineering, Xiamen University of Technology, Modern Automotive Design and Manufacturing Engineering Research Center from Universities in Fujian Province, Xiamen 361024, China
2 School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China
3 School of Mechanical and Electronic Engineering, Tianjin Polytechnic University, Tianjin 300160, China |
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［8］Yazdani A, Setarehdan, Kamaledin S. Classification of EEG signals correlated with alcohol abusers［C］// Abhayaratne K,eds. Proceedings of 9th International Symposium on Signal Processing and Its Applications. Sharjah: IEEE Computer Society, 2007:1-4.
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［10］Papadelis C, Chen Z, Papadeli CK, et al. Monitoring sleepiness with onboard electrophysiological recordings for preventing sleepdeprived traffic accidents［J］. Clinical Neurophysiology, 2007, 118(09): 1906-1922. |
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