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检索条件"主题词=EEG Signal"
10 条 记 录,以下是1-10 订阅
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Prediction of Epileptic eeg signal Based on SECNN-LSTM
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Journal of New Media 2022年 第2期4卷 73-84页
作者: Jian Qiang Wang Wei Fang Victor S.Sheng School of Computer and Software Engineering Research Center of Digital ForensicsMinistry of EducationNanjing University of Information Science and TechnologyNanjing210044China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing100081China Department of Computer Texas Tech UniversityLubbockTX 79409USA
Brain-Computer Interface(BCI)technology is a way for humans to explore the mysteries of the brain and has applications in many areas of real *** use this technology to capture brain waves and analyze the electroenceph... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Correlation dimension analysis on the eeg signal evoked by mental tasks
Correlation dimension analysis on the EEG signal evoked by m...
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2011年全国电子信息技术与应用学术会议
作者: Lingyun KONG,Jingchao ZOU Robot & Automation Research Institute,Huanghe Science & Technology College,Zhengzhou,China
In this paper,the G-P algorithm is employed to calculate the correlation dimension of the eeg signal evoked by five different mental *** results indicate that the eeg signals evoked by math task and geometric figure r... 详细信息
来源: cnki会议 评论
Detection of eeg signals in normal and epileptic seizures with multiscale multifractal analysis approach via weighted horizontal visibility graph
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Chinese Physics B 2023年 第11期32卷 401-407页
作者: 马璐 任彦霖 何爱军 程德强 杨小冬 School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Suzhou Vocational and Technical College Suzhou 234000China School of Computer Science and Technology China University of Mining and TechnologyXuzhou 221116China School of Electronic Science and Engineering Nanjing UniversityNanjing 210023China
Electroencephalogram(eeg) signals contain important information about the regulation of brain system. Thus, automatic detection of epilepsy by analyzing the characteristics obtained from eeg signals has important rese... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
An Innovation of Evaluation and Design of Vehicle Acceleration Sound Based on eeg signals
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Journal of Bionic Engineering 2024年 第1期21卷 344-361页
作者: Liping Xie XinYou Lin Wan Chen Zhien Liu Yawei Zhu College of Mechanical Engineering&Automation Fuzhou UniversityFuzhou 350108China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of TechnologyWuhan 430070China
There is a bottleneck in the design of vehicle sound that the subjective perception of sound quality that combines multiple psychological factors fails to be accurately and objectively ***,eeg signals are introduced i... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Motor imagery-based eeg signals classification by combining temporal and spatial deep characteristics
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International Journal of Intelligent Computing and Cybernetics 2020年 第4期13卷 437-453页
作者: Li Xiaoling Gongqing College of Nanchang University GongqingchengChina
Purpose-In order to improve the weak recognition accuracy and robustness of the classification algorithm for brain-computer interface(BCI),this paper proposed a novel classification algorithm for motor imagery based o... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
A Method for Quantifying the Emotional Intensity and Duration of a Startle Reaction with Customized Fractal Dimensions of eeg signals
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Applied Mathematics 2016年 第4期7卷 355-364页
作者: Franz Konstantin Fuss School of Aerospace Mechanical and Manufacturing Engineering RMIT University Melbourne Australia
The assessment of emotions with fractal dimensions of eeg signals has been attempted before, but the quantification of the intensity and duration of sudden and short emotions remains a challenge. This paper suggests a... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Improved EMD Based on Piecewise Cubic Hermite Interpolation and Mirror Extension
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Chinese Journal of Electronics 2020年 第5期29卷 899-905页
作者: ZHANG Xuejun HUO Yan WAN Dongsheng College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunications Nation-Local Joint Project Engineering Laboratory of RF Integration and Micropackage
This paper proposes an improved Empirical mode decomposition(EMD) method piecewise cubic hermite interpolation and mirror extension. Firstly, mirror expansion method is used to expand preliminary signal endpoint; then... 详细信息
来源: 同方期刊数据库 同方期刊数据库 评论
Classification for eeg signals of Different Mental Tasks Based on PNN neural network
Classification for EEG Signals of Different Mental Tasks Bas...
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2012 4th International Conference on Education Technology and Computer(ICETC 2012)
作者: Jia Huaping Department of Computer Science Weinan Teachers University Weinan P.R. China
Electroencephalogram (eegsignal is an important information source of underlying brain processes. The communication based on eeg between human brain and computer is a new modality of human—computer interaction. T... 详细信息
来源: cnki会议 评论
eeg Emotion Recognition Using an Attention Mechanism Based on an Optimized Hybrid Model
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Computers, Materials & Continua 2022年 第11期73卷 2697-2712页
作者: Huiping Jiang Demeng Wu Xingqun Tang Zhongjie Li Wenbo Wu Brain Cognitive Computing Lab School of Information EngineeringMinzu University of ChinaBeijing100081China Case Western Reserve University USA
Emotions serve various *** traditional emotion recognition methods are based primarily on readily accessible facial expressions,gestures,and voice ***,it is often challenging to ensure that these non-physical signals ... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Comparative Analysis of eeg signals Based on Complexity Measure
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Chinese Journal of Biomedical Engineering(English Edition) 2009年 第4期18卷 144-148,170页
作者: ZHU Jia-fu HE Wei School of Electronic and Electrical Engineering Chongqing University of Arts & Sciences Chongqing 402160 China State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 4-00030 China
The aim of this study is to identify the functions and states of the brains according to the values of the complexity measure of the eeg signals. The eeg signals of 30 normal samples and 30 patient samples are collect... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论