Research on computer aided method for removing electroencephalogram interference during automobile driving

机译：汽车驾驶期间消除脑电图干扰的计算机辅助方法研究

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

Computer technology has become one of the main means to enhance the competitiveness of modern industry. The first computer technology into the industrial application is CAD, the use of computer software directly engaged in the drawing of graphics and structure design; Then there is CAM, which uses computers to operate a variety of sophisticated tool machines to make different parts groups. Finally, EEG interference is introduced. It has been widely used and developed since it was introduced into the industrial application because of its powerful role in product analysis and optimization design. In the development and design of automotive electronic products, in order to estimate or evaluate the control effect of the whole vehicle system, it is often necessary to combine the controller with the control object model to carry out simulation analysis.

机译：计算机技术已成为提高现代行业竞争力的主要手段之一。第一台计算机技术进入工业应用是CAD，使用直接从事图形和结构设计的计算机软件; 然后有CAM，它使用计算机操作各种复杂的刀具，以制作不同的部件组。最后，介绍了EEG干扰。由于其在产品分析和优化设计中的强大作用，它已被广泛使用和开发。在汽车电子产品的开发和设计中，为了估计或评估整个车辆系统的控制效果，通常需要将控制器与控制对象模型结合起来进行仿真分析。

著录项

来源
《IEEE International Conference on Artificial Intelligence and Industrial Design》|2021年|545-548|共4页
会议地点
作者
Tao Zhang; Hong Wang;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
Solid modeling; Analytical models; Software packages; Computational modeling; Interference; Automotive electronics; Tools;

机译：实体建模;分析模型;软件包;计算建模;干扰;汽车电子;工具;

相似文献

外文文献
中文文献
专利

1. A Novel Computer-Aided Design/Computer-Assisted Manufacture Method for One-Piece Removable Partial Denture and Evaluation of Fit [J] . Ye Hongqiang, Li Xinxin, Wang Guanbo, The International journal of prosthodontics . 2018,第2期

机译：一种新型计算机辅助设计/计算机辅助制造方法，用于一体式可拆卸的部分义齿和适合的评估
2. Computer Aided Nondestructive Evaluation Method of Welding Residual Stresses by Removing Reinforcement of Weld (Introduction of Regularization Method and Optimization of Strain Measuring Location) [J] . Katsuhiko KUMAGAI, Haruo NAKAMURA, Hideo KOBAYASHI 日本機械学会論文集. A編 . 1999,第634期

机译：通过消除焊缝钢筋来辅助焊接残余应力的计算机辅助无损评估方法（引入正则化方法并优化应变测量位置）
3. Automobile shape formation and simulation by a computer-aided systematic method [J] . Hsiao Shih-Wen, Lin Hsin-Hung, Lo Chi-Hung, Concurrent engineering . 2016,第3期

机译：汽车形状形成和计算机辅助系统仿真方法
4. A Computer-aided Method for Sleep Stage Scoring Employing Single Channel Electroencephalogram Signal [C] . Arpita Das, Tahia Tasnim, Naqib Sad Pathan, International Conference on Electrical Information and Communication Technology . 2019

机译：单通道脑电图信号的睡眠阶段计分的计算机辅助方法
5. Comparison of Anterior Denture Teeth Arrangements Made with the Tooth Mold Template and Definitive Computer-Aided Design & Computer-Aided Manufacturing Complete Removable Dental Prostheses [D] . Sierra, Jose Antonio. 2017

机译：牙模模板与确定的计算机辅助设计和计算机辅助制造的完整可移动义齿的比较，前义齿排列的比较
6. Assessment of the fit of removable partial denture fabricated by computer-aided designing/computer aided manufacturing technology [O] . Khalid A.O. Arafa 2018

机译：通过计算机辅助设计/计算机辅助制造技术制造的可摘局部义齿的合适性评估
7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

机译：EEG信号在EMD域S. S. Shafiul Alam，S中的非线性动力学使用非线性动力学。 M. Shafiul Alam，Aurangozeb和Syed Tarekshahriar摘要 - 基于EMD Chaos的方法，提出了对应于健康人的EEG信号，癫痫发作期间的癫痫患者和Seizureattacks。脑电图（EEG）首先被凭经上分解为内在模式功能（IMF）。这些IMF的非线性动力学在最大范围的指数（LLE）和相关尺寸（CD）方面是量化的。本域中的混沌分析应用于与健康人相对应的大型脑电图（Asepileptic患者）（两者都有癫痫发作）。因此，所获得的LLE和CD表展的价值可以从EMD领域的其他EEG信号中清晰地区分脑电图的表达展示。本拟议的方法可以帮助研究人员以预测癫痫发作的癫痫发作技术。索引术语 - 脑电图（EEG），仿真态分解（EMD），最大的Lyapunov指数（LLE），相关维度（CD），癫痫发作。作者与电气电子和电子工程公司，孟加拉国工程和技术大学，孟加拉国达卡 - 1000（电子邮件：imamul@eee.buet.ac.bd）pdf cite：s. m. shafiul Alam，s。 M. Shafiul Alam，Aurangozeb和Syed Tarek Shahriar，“EEG信号歧视在EMD领域的非线性动态，”计算机电气工程卷国际杂志。 4，不。 3，pp。326-330,2012，上一篇论文对情绪的看法，使用建设性的学习言论下一篇论文物理层障碍意识到OVPN连接选择机制版权所有©2008-2013。国际计算机科学与信息技术协会出版社（IACSIT Press）

Research on computer aided method for removing electroencephalogram interference during automobile driving

摘要

著录项

相似文献

相关主题

期刊订阅