[J].应用科学学报,2006,24(4):359-362.JIANG Zhao-hui,GAO Cui-yun,FENG Huan-qing,et al.Mental Task Classification Based on Approximate Entropy of EEG
[2]
郑培,宋正河,周一鸣.机动车驾驶员驾驶疲劳测评方法的研究状况及发展趋势
[3]
[J].中国农业大学学报,2001,6(6):101-105.ZHENG Pei,SONG Zheng-he,ZHOU Yi-ming.Study Situation and Developing Trend on Detecting and Evaluating Techniques of Motor Driver Fatigue
[4]
[J].Journal of China Agricultural University,2001,6(6):101-105.
[5]
AKUTSU E.Summary of Driver's Drowsiness Sensing Technology
[6]
[J].Automobile Technology,1995,49(7):14-18.
[7]
王荣本,郭克友,储江伟,等.适用驾驶员疲劳状态监测的人眼定位方法研究
[8]
PARIKH P,MICHELI-TZANAKOU E.Detecting Drowsiness while Driving Using Wavelet Transform
[9]
[C]// Proceedings of the IEEE 30th Annual Northeast Bioengineering Conference.2004:79-80.
[10]
LEEB R,PFURTSCHELLER G.Walking through a Virtual City by Thought
[11]
[C]// Proceedings of the 26th Annual International Conference of the IEEE EMBS.San Francisco,CA,USA:2004:4 503-4 506.
[12]
PFURTSCHELLER G,M麹LER-PUTZ G R,SCHLOGL A,et al.15 Years of BCI Research at Graz University of Technology:Current Projects
[13]
[J].IEEE Transactions on Neural Systems and Rehabilitation Engineering,2006,14(2):205-210.
[14]
HUANG N E,SHEN Z,LONG S R.The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis
[15]
[J].The Royal Society,1998,454:903-995.
[16]
赵治栋,唐向宏,赵之劲,等.基于Hilbert-Huang Transform 的心音信号谱分析
[17]
[J].传感技术学报,2005,18(1):18-22.ZHAO Zhi-dong,TANG Xiang-hong,ZHAO Zhi-jin,et al.Spectrum Analysis of Heart Sound Signal Based on Hilbert-Huang Transform
[18]
[J].Journal of Sensors and Actuators,2005,18(1):18-22.
[19]
江朝晖,高翠云,冯焕清,等.脑电近似熵分析的思维分类识别
[20]
[J].Journal of Applied Science,2006,24(4):359-362.
[21]
PINCUS S M.Approximate Entropy(ApEn) as a Complexity Measure
[22]
[J].Chaos,1995,5(1):110-117.
[23]
[J].公路交通科技,2003,20(5):111-114.WANG Rong-ben,GUO Ke-you,CHU Jiang-wei,et al.Study on the Eye Location Method in Driver Fatigue State Surveillance
[24]
[J].Journal of Highway and Transportation Research and Development,2003,20(5):111-114.