RELIABLE SEIZURE DETECTION WITH A PARALLELIZABLE, MULTI-TRAJECTORY ESTIMATE OF LYAPUNOV EXPONENTS

• 1. 用于使用轨迹进行位置估计的方法及设备 [P] . 中国专利： CN105556243A . 2016-05-04
• 2. 使用具有凸起检测的单向延迟噪声滤波器进行可用网络带宽估计 [P] . 中国专利： CN112889243A . 2021-06-01
• 3. RELIABLE SEIZURE DETECTION WITH A PARALLELIZABLE, MULTI-TRAJECTORY ESTIMATE OF LYAPUNOV EXPONENTS [P] . 美国专利： US2019209072A1 . 2019-07-11

  机译： 使用Lyapunov指数的可归因的多轨迹估计可靠地进行检测

• 4. RELIABLE SEIZURE DETECTION WITH A PARALLELIZABLE, MULTI-TRAJECTORY ESTIMATE OF LYAPUNOV EXPONENTS [P] . 欧洲知识产权局专利： EP3500166A1 . 2019-06-26

  机译： 使用Lyapunov指数的可归因的多轨迹估计可靠地进行检测

• 5. RELIABLE SEIZURE DETECTION WITH A PARALLELIZABLE, MULTI-TRAJECTORY ESTIMATE OF LYAPUNOV EXPONENTS [P] . 世界知识产权组织专利： WO2018035299A1 . 2018-02-22

  机译： 使用Lyapunov指数的可归因的多轨迹估计可靠地进行检测

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• 12. 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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