MULTICHANNEL ARRANGEMENT FOR MULTIPLYING ELECTRIC SIGNALS BY HARMONIC FUNCTIONS

• 1. 一种基于相关函数的多通道脑电信号压缩方法 [P] . 中国专利： CN111407268B . 2021.05.14
• 2. 一种基于相关函数的多通道脑电信号压缩方法 [P] . 中国专利： CN111407268A . 2020-07-14
• 3. PHOTOELECTRIC DEVICE FOR MULTIPLYING ELECTRIC SIGNALS BY HARMONIC FUNCTIONS [P] . SU661571A1 . 1979-05-05

  机译： 通过谐波函数将电信号相乘的光电装置

• 4. Improvements in or relating to circuit arrangements for multiplying functions in theform of electrical signals [P] . 英国专利： GB904018A . 1962-08-22

  机译： 对用于以电信号形式实现多功能的电路装置的改进或与之有关的改进

• 5. Circuit arrangement for multiplying functions in the form of electrical signals [P] . 美国专利： US2956113A . 1960-10-11

  机译： 用于以电信号形式增加功能的电路装置

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• 6. 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

• 1. Age-Related Changes in Probability Density Function of Pairwise Euclidean Distances between Multichannel Human EEG Signals [J] . Mikhail Trifonov ,Vladimir Rozhkov . 生物科学与医学（英文） . 2014,第4期
• 2. SCATTERING OF HARMONIC ANTI-PLANE SHEAR STRESS WAVES BY A CRACK IN FUNCTIONALLY GRADED PIEZOELECTRIC/PIEZOMAGNETIC MATERIALS [J] . Liang Jun . 固体力学学报：英文版 . 2007,第1期
• 3. SCATTERING OF THE HARMONIC STRESS WAVE BY CRACKS IN FUNCTIONALLY GRADED PIEZOELECTRIC MATERIALS [J] . Ma Li ,Nie Wu ,Wu Linzhi . 固体力学学报：英文版 . 2005,第4期
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