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	题名	作者	年代	出处	被引量
1	Evaluation of mental fatigue based on multipsychophysiological parameters and kernel learning algorithms显示文摘Mental fatigue is an extremely sophisticated phenomenon, which is influenced by the environment, the state of health, vitality and the capability of recovery. A single parameter cannot fully describe it. In this paper, the effects of long time sustained low-workload visual display terminal (VDT) task on psychology are investigated by subjective self-reporting measures. Then power spectral indices of HRV, the P300 components based on visual oddball and wavelet packet parameters of EEG are combined to analyze the impacts of prolonged visual display terminal (VDT) activity on autonomic nervous system and cen-tral nervous system. Finally, wavelet packet parameters of EEG are extracted as the features of brain activity in different mental fatigue states. Kernel principal component analysis (KPCA) and support vector machine (SVM) are jointly applied to differentiate two states. The statistic results show that the level of both subjective sleepiness and fatigue increase significantly from pre-task to post-task, which indicate that the long time VDT task induces the mental fatigue to the subjects. The predominant activ-ity of autonomic nervous system of subjects turns to the sympathetic activity from parasympathetic activity after the task. The P300 components and wavelet packet parameters of EEG are strongly related with mental fatigue. Moreover, the joint KPCA-SVM method is able to effectively reduce the dimension-ality of the feature vectors, speed up the convergence in the training of SVM and achieve a high rec-ognition accuracy (87%) of mental fatigue state. Multipsychophysiological measures and KPCA-SVM method could be a promising tool for the evaluation of mental fatigue.	ZHANG Chong ZHENG ChongXun YU XiaoLin	2008	Chinese Science Bulletin2008，53，12：	7
2	Detection of ECG characteristic points using wavelet transforms显示文摘	Zheng Chongxun Tai Changfeng	1995	IEEE Trans on BME1995，42，1：	1
3	Detection of ECG characteristic points using Wavelet Transforms显示文摘	Li Cuiwei Zheng Chongxun Tai Changfeng	1995	Trans on Biomed Eng1995，42，1：	1
4	Detection of ECG characteristic points using wavelet transforms 显示文摘	LI Cuiwei ZHENG Chongxun TAI Changfeng	1995	IEEE Tans on Biomed Eng1995，42，1：	1
5	Detection of ECG characteristic points using wavelet ransforms 显示文摘	Li Cuiwei Zheng Chongxun Yuan Chaowei	1995	IEEE Trans on BME1995，42，1：	1
6	Detection of ECG Characteristic Points Using Wavelet Transforms显示文摘	Li Cuiwei Zheng Chongxun Tai Changfeng	1995	IEEE Trans On BME1995，42，1：	1
7	Detection of ECG characteristic points using wavelet transforms 显示文摘	Cuiwei Li Chongxun Zheng Changfeng Tai	1995	IEEE Trans on BME1995，42，1：	1
8	Feasi-bility study of mental fatigue grade based on komlogoroventropy显示文摘	ZHANG LAIYI ZHENG CHONGXUN LI XIAOPING	2005	Space Med Med Engineering2005，18，5：	1
9	Detection of EGG characteristic points using wavelet transforms 显示文摘	Cuiwei Li Chongxun Zheng Changfeng Tai	1995	IEEE Transactions on Biomedical Engineer- ing1995，42，1：	1
10	Detection of ECG characteristic points using wavelet transforms 显示文摘	Li Cuiwei Zheng Chongxun Tai Changfeng	1995	IEEE Transactions on Biomedical Engineering1995，42，1：	1
11	Detection of the ECG characteristics points using wavelet transform 显示文摘	Li Cuiwei Zheng Chongxun Tai Changfeng	1995	IEEE Trans Biomed Eng1995，42，1：	1
12	Detection of ECG characteristic points usingwavelet transforms显示文摘	Li Cuiwei Zheng Chongxun Tai Changfeng	1995	Proc of IEEE1995，42，1：	1
13	Neural networks for improved text-independent speaker identification 显示文摘	Xicai Yue Datian Ye Chongxun Zheng	2002	IEEE Engineering in Medicine and Biology Magazine2002，21，2：	1
14	Extracting evoked poten- tials with the singularity detection technique 显示文摘	Zhang Jiwu Zheng Chongxun	1997	IEEE Engineering in Medicine and Biology Magazine1997，16，5：	1
15	Detection of ECG Characteristic Points Using Wavelet Transforms显示文摘	CUIWEI LI CHONGXUN ZHENG CHANGFENG TAI	1995	IEEE Trans on BME1995，42，1：	1
16	Multichannel linear descriptors for the event-related EEG collected in brain computer interface 显示文摘	PEI Xiaomei ZHENG Chongxun XU Jin	2006	Journal of Neural Engineering2006，，3：	1
17	A new method for monitoring the status of central nervous system during general anesthesia 显示文摘	ZHANG Lianyi ZHENG Chongxun		Space Medicine0，，：	1
18	Detection of ECG characteristic points using wavelet transforms显示文摘	Chongxun Zheng Changfeng Tai	1995	IEEE Transactions on Biomedical Engineering1995，42，1：	1
19	Bispectrum Analysis of Focal Ischemic Cerebral EEG Signal Using Third-Order Recursion Method 显示文摘	ZHANG Jiwu ZHENG Chongxun XIE An	2000	IEEE Trans Biomed Eng2000，47，：	1
20	Detection of ECG Characteristic Points Using Wavelet Transforms 显示文摘	Cuiwei Li Chongxun Zheng Changfeng Tai	1995	IEEE Transactions on Biomedical Engineering1995，42，：	1

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