Characterization of EEG morphologies during drug-induced seizures and Peri-ictal changes in non-clinical species

Authier Simon; Pouliot Mylene; Paquette Dominique; Dubuc-Mageau Michelle; Sanfacon Audrey; Tan Wendy; Accardi Michael

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Characterization of EEG morphologies during drug-induced seizures and Peri-ictal changes in non-clinical species

机译：在药物诱导的癫痫发作期间EEG形态的表征和非临床种类的肝癌

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来源
《Journal of Pharmacological and Toxicological Methods》 |2019年第2019期|共1页
作者
Authier Simon; Pouliot Mylene; Paquette Dominique; Dubuc-Mageau Michelle; Sanfacon Audrey; Tan Wendy; Accardi Michael;
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CiToxLAB Laval PQ Canada;

CiToxLAB Laval PQ Canada;

CiToxLAB Laval PQ Canada;

Univ Montreal Fac Vet Med St Hyacinthe PQ Canada;

Univ Montreal Fac Vet Med St Hyacinthe PQ Canada;

Univ Montreal Fac Vet Med St Hyacinthe PQ Canada;

CiToxLAB Laval PQ Canada;

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正文语种 eng
中图分类药理学;
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1. Characterization of EEG morphologies during drug-induced seizures and Peri-ictal changes in non-clinical species [J] . Authier Simon, Pouliot Mylene, Paquette Dominique, Journal of Pharmacological and Toxicological Methods . 2019,第期

机译：在药物诱导的癫痫发作期间EEG形态的表征和非临床种类的肝癌
2. Challenges in detection of premonitory electroencephalographic (EEG) changes of drug-induced seizure using a non-human primate EEG telemetry model [J] . Shiotani Motohiro, Nagano Norihiro, Ishikawa Akiyoshi, Journal of Pharmacological and Toxicological Methods . 2016,第Null期

机译：使用非人类灵长类脑电遥测模型检测药物诱发的癫痫发作前脑电图（EEG）变化的挑战
3. Seizures and dreams in non-clinical drug development: from brain slices to EEG [J] . Authier S. Toxicology Letters: An International Journal Providing a Forum for Original and Pertinent Contributions in Toxicology Research . 2018,第期

机译：在非临床药物开发中癫痫发作和梦想：从脑切片到脑电图
4. An Epileptic Seizure Prediction Algorithm from Scalp EEG Based on Morphological Filter and Kolmogorov Complexity [C] . Guanghua Xu, Jing Wang, Qing Zhang, International Conference on Digital Human Modeling . 2007

机译：基于形态学滤波器和kolmogorov复杂性的Scalp eeg的癫痫癫痫发作预测算法
5. Multi-Feature Analysis of Eeg Signal on Seizure Patterns and Deep Neural Structures for Prediction of Epileptic Seizures [D] . Ma, Xinyuan. 2020

机译：癫痫发作模式和深神经结构对癫痫癫痫发作预测的多种特征分析
6. Postictal generalized EEG suppression is not associated with peri-ictal cardiac autonomic instability in people with convulsive seizures [O] . Robert J Lamberts, Sergio Laranjo, Stiliyan N Kalitzin, -1

机译：后期广义脑电图抑制与具有抽搐癫痫发作的人的Peri-ICTAL心脏自主无稳定性无关
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）

Characterization of EEG morphologies during drug-induced seizures and Peri-ictal changes in non-clinical species

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