DRIVING FATIGUE RELATED EEG FUNCTION CONNECTION DYNAMIC CHARACTERISTIC ANALYSIS METHOD

• 1. 一种驾驶疲劳相关的EEG功能连接动态特性的分析方法 [P] . 中国专利： CN110584684B . 2021.08.10
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• 3. METHOD OF PROCESSING MEASUREMENTS AND ANALYSIS OF DYNAMIC CHARACTERISTICS OF BUILDING STRUCTURES IN QUASI-REAL TIME MODE AND SYSTEM FOR PROCESSING MEASUREMENTS AND ANALYSIS OF DYNAMIC CHARACTERISTICS OF BUILDING STRUCTURES IN QUASI-REAL TIME MODE [P] . 俄罗斯专利： RU2696673C1 . 2019-08-05

  机译： 准真实时间模式下建筑结构的动态测量与分析方法以及准真实时间模式下建筑结构的动态测量与分析系统

• 4. Methods and apparatus for analyzing fatigue of a structure and optimizing a characteristic of the structure based on the fatigue analysis [P] . 美国专利： US10108766B2 . 2018-10-23

  机译： 用于基于疲劳分析来分析结构的疲劳并优化结构的特性的方法和装置

• 5. METHODS AND APPARATUS FOR ANALYZING FATIGUE OF A STRUCTURE AND OPTIMIZING A CHARACTERISTIC OF THE STRUCTURE BASED ON THE FATIGUE ANALYSIS [P] . 美国专利： US2016125107A1 . 2016-05-05

  机译： 基于疲劳分析的结构疲劳分析和结构特征优化方法及装置

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• 8. 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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• 1. Abnormal cortical functional connections in Alzheimer’s disease: analysis of inter-and intra-hemispheric EEG coherence [J] . 蒋正言 . 浙江大学学报（英文版）B辑：生物医学与生物技术 . 2005,第4期
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