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Application of linear and nonlinear methods for processing HRV and EEG signals

机译：应用线性和非线性方法处理HRV和EEG信号

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2013/2014

机译：2013/2014

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Fornasa Elisa;
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年度 2015
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1. A 259.6 HRV-EEG Processor With Nonlinear Chaotic Analysis During Mental Tasks [J] . Taehwan Roh, Sunjoo Hong, Hyunwoo Cho, IEEE transactions on biomedical circuits and systems . 2016,第1期

机译：在心理任务中具有非线性混沌分析的259.6 HRV-EEG处理器
2. Application of combined optical signal processing methods to compensate for nonlinear effects in fibre-optic communication links [J] . Skidin A. S., Sidelnikov O. S., Fedoruk M. P. Quantum electronics . 2018,第12期

机译：组合光信号处理方法在光纤通信链路中补偿非线性效应的应用
3. Topological feature extraction of nonlinear signals and trajectories and its application in EEG signals classification [J] . Saleh LASHKARI, ALI SHEIKHANI, Mohammad Reza HASHEMI GOLPAYEGANI, Turkish Journal of Electrical Engineering and Computer Sciences . 2018,第3期

机译：非线性信号和轨迹的拓扑特征提取及其在脑电信号分类中的应用
4. A 259.6μW nonlinear HRV-EEG chaos processor with body channel communication interface for mental health monitoring [C] . Taehwan Roh, Sunjoo Hong, Hyunwoo Cho, Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2012 IEEE International . 2012

机译：具有人体通道通信接口的259.6μW非线性HRV-EEG混沌处理器，用于心理健康监测
5. Application of nonlinear dynamical theory to EEG signal processing and modelling [D] . Lo, Pei-Chen 1990

机译：非线性动力学理论在脑电信号处理与建模中的应用
6. Si-rich Silicon Nitride for Nonlinear Signal Processing Applications [O] . Cosimo Lacava, Stevan Stankovic, Ali Z. Khokhar, -1

机译：用于非线性信号处理应用的富硅氮化硅
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）
8. Applications of Frequency and Wavenumber Nonlinear Digital Signal Processing toNonlinear Hydrodynamics Research [R] . Powers, E. J., Miksad, R. W. 1992

机译：频率和波数非线性数字信号处理在非线性水动力学研究中的应用

Application of linear and nonlinear methods for processing HRV and EEG signals

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