Application of Chaotic Dynamics in EEG to Assessment of Mental Workload

Atsuo Murata; Hirokazu Iwase

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Application of Chaotic Dynamics in EEG to Assessment of Mental Workload

机译：脑电中混沌动力学在脑力负荷评估中的应用

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摘要

In this paper, an attempt was made to evaluate mental workload using chaotic analysis of EEG. EEG signals registered from Fz and Cz during a mental task (mental addition) were recorded and analyzed using attractor plots, fractal dimensions, and Lyapunov exponents in order to clarify chaotic dynamics and to Investigate whether mental workload can be assessed using these investigate whether mental workload can be assessed using these chaotic measures.

机译：本文尝试通过脑电图的混沌分析来评估心理负荷。记录并使用吸引子图，分形维数和Lyapunov指数记录并分析心理任务（心理相加）期间从Fz和Cz记录的EEG信号，以阐明混沌动力学并调查是否可以使用这些指标评估心理工作量，调查心理工作量是否可以使用这些混沌措施进行评估。

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来源
《IEICE Transactions on Information and Systems》 |2001年第8期|p.1112-1119|共8页
作者
Atsuo Murata; Hirokazu Iwase;
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作者单位

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
关键词
mental workload; EEG; largest lyapunov exponent;

机译：精神工作量;脑电图;最大李雅普诺夫指数;

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2. Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment [J] . Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri, Frontiers in Human Neuroscience . 2016,第4期

机译：基于EEG的心理工作量指数触发的自适应自动化：在现实空中交通管制环境中的无源脑电脑界面应用
3. Relationship between regional hemodynamic activity and simultaneously recorded EEG-theta associated with mental arithmetic-induced workload. [J] . Sammer G, Blecker C, Gebhardt H, Human brain mapping . 2007,第8期

机译：区域血流动力学活动与同时记录的脑电图θ与心理算术诱发的工作量之间的关系。
4. Analysis of chaotic dynamics in EEG and its application to assessment of mental workload [C] . Murata, A., Iwase, Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE . 1998

机译：脑电图混沌动力学分析及其在脑力负荷评估中的应用
5. Using Around-the Ear Electroencephalography (EEG) Adhesive Technology to Classify Mental Workload (MWL) [D] . Woodruff, Katharine. 2020

机译：使用周围的耳朵脑电图（EEG）粘合技术来分类心理工作量（MWL）
6. Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment [O] . Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri, 2016

机译：基于脑电图的工作负荷指数触发的自适应自动化：现实空中交通管制环境中的被动式脑机接口应用
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

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8. Probe-Independent EEG Assessment of Mental Workload in Pilots. [R] . Johnson, M. K. 2015

机译：独立于探针的脑电评估飞行员心理负荷。

Application of Chaotic Dynamics in EEG to Assessment of Mental Workload

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