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Mehran University Research Journal of Engineering and Technology, Volume 26, No. 2, April 2007:Quarterly rept

机译：mehran University Engineering Engineering of Engineering and Technology，Volume 26，No。2，april 2007：Quarter rept

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Contents: Key Factors in the Implementation of CIM in SMEs; Optimal Identification of Aquifer Parameters Using GA; Mechanism of Lead Removal by Waste Materials; Evaluating the Adoption of EAI in Healthcare Organizations: An Exploratory Case Study; Numerical Investigation of Slab-Column Connection by Finite Element Method; Reduction of CO, Emissions Through Fuel Economy Standards For Diesel Cars In Pakistan; Study of Flowability and Strength Ferrocement Mortar; Software Process Evaluation Using XP Techniques; Automatic Weight Selection in H Loop Shaping Using GA; Kinematics and Workspace Analysis of an Articulated Robotic Arm of a RPAR.

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作者
Ansari, A. K.;
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年度 2007
页码 p.1-116
总页数 116
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Engineering; Technology; Research projects; Aquifers; Lead removal; Health care organizations; Finite element method; Air pollution control; Diesel engine emissions; Ferrocement; Computer software; Robotics; Reprints; Foreign technology;

机译：工程;技术;研究项目;含水层;铅去除;卫生保健组织;有限元法;空气污染控制;柴油机排放;二氧化碳;计算机软件;机器人;重印;国外技术;

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9. 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

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10. Mehran University Research Journal of Engineering and Technology, Volume 26, No. 1, January 2007 [R] . Memon, S. A. 2007

机译：梅赫兰大学工程与技术研究期刊，第26卷，第1期，2007年1月

Mehran University Research Journal of Engineering and Technology, Volume 26, No. 2, April 2007:Quarterly rept

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