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Evaluation of mental fatigue based on multipsychophysiological parameters and kernel learning algorithms

Chinese Science Bulletin 2008年第12期53卷 1835-1847页

作者： zhang chong zheng chongxun yu xiaolin Key Laboratory of Biomedical Information Engineering of Education Ministry Xi'an Jiaotong University Xi'an 710049 China

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.

关键词：心理疲劳脑电图心率诊断方法

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基于多导脑电复杂性测度的脑疲劳分析

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西安交通大学学报 2008年第12期42卷 1555-1559页

作者：刘建平张崇郑崇勋于晓琳西安交通大学生物医学信息工程教育部重点实验室西安710049

通过对连续长时间脑力劳动前后状态下的脑电信号进行分析,提取了脑电信号的基本尺度熵和排列熵两种复杂性测度,研究了它们与脑疲劳程度之间的关系,以及它们在不同脑疲劳状态下的变化规律及其相关性.实验结果表明,基本尺度熵和排列熵与... 详细信息

通过对连续长时间脑力劳动前后状态下的脑电信号进行分析,提取了脑电信号的基本尺度熵和排列熵两种复杂性测度,研究了它们与脑疲劳程度之间的关系,以及它们在不同脑疲劳状态下的变化规律及其相关性.实验结果表明,基本尺度熵和排列熵与脑疲劳程度之间存在很强的关联性,对于不同的脑疲劳状态,随着脑疲劳程度的增加,其alpha（8~12 Hz）、beta（13~30 Hz）频率段和total频率段（0.5~30 Hz）脑电信号的基本尺度熵和排列熵逐渐降低.相对于Tsallis熵算法,基本尺度熵和排列熵可以更好地反映疲劳前后脑电信号复杂度的变化特性.同时,由于基本尺度熵和排列熵算法概念简单,运算量小,因而它们的计算复杂度大大降低,运算速度更快,使得实时分析与监测脑疲劳成为可能.脑电信号的基本尺度熵和排列熵有望成为衡量脑疲劳程度的指标.

关键词：脑疲劳脑电基本尺度熵排列熵

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基于多通道线性描述参数的生理性精神疲劳分析

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西安交通大学学报 2007年第6期41卷 737-740,749页

作者：张崇郑崇勋于晓琳李小平沈开泉西安交通大学生物医学信息工程教育部重点实验室西安710049 新加坡国立大学机械工程与生物分离工程系新加坡119290

通过对24 h睡眠剥夺实验以及不同精神疲劳状态下的脑电信号进行分析,提取了脑电信号的多通道线性描述参数场强变化率,研究了脑电信号场强变化率的平均值与生理性精神疲劳程度之间的关系,以及它在不同生理性精神疲劳状态下的变化规律及... 详细信息

通过对24 h睡眠剥夺实验以及不同精神疲劳状态下的脑电信号进行分析,提取了脑电信号的多通道线性描述参数场强变化率,研究了脑电信号场强变化率的平均值与生理性精神疲劳程度之间的关系,以及它在不同生理性精神疲劳状态下的变化规律及其相关性.实验结果表明,场强变化率的平均值与生理性精神疲劳程度之间存在很强的关联性,对于不同的生理性精神疲劳状态,随着生理性精神疲劳程度的增加,其脑电信号场强变化率的平均值逐渐降低.脑电信号场强变化率的平均值有望成为衡量生理性精神疲劳程度的指标.

关键词：精神疲劳脑电场强变化率多通道线性描述参数

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数字水印技术在脑电信号数据压缩中的应用

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生物医学工程学杂志 2005年第4期22卷 860-863页

作者：刘建平于晓琳张崇郑崇勋武警工程学院训练部研究生处西安710086 武警工程学院训练部研究生队西安710086 西安交通大学生物医学工程研究所西安710049

首先对数字水印技术和脑电信号的数据压缩进行了介绍,然后就数字水印技术用于解决脑电信号数据压缩过程中的完整性和真实性检测问题进行了探讨。最后总结了国内外研究情况,并对脑电信号数据压缩方法进行了展望。

关键词：数字水印脑电图数据压缩脑电信号国内外研究压缩方法完整性

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CEPC Technical Design Report

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Radiation Detection Technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi Ling-yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China Jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of Mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

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