Coupling analysis of EEG based on simultaneous screening - Symbolic transfer entropy

Yunyuan Gao, Yingchun Zhang, Hui Xu Su, Qizhong Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analysis of the coupling of two time series with a large amount of non-related data, non-relevant data will have an adverse effect on the coupling analysis. In order to solve this problem, The synchronous point screening algorithm is proposed to eliminate the non-related information in this paper. To realize the coupling analysis of brain motor area and sensory area during designed grip task at 5kg and 20kg, synchronous point screening algorithm is applied to extract components of in EEG that linearly synchronized with EMG. Then, the symbolic transfer entropy is calculated based on the linearly synchronous components of EEG. Symbolic transfer entropy is capable to revealing directed interactions between signals. Results showed that there's a bidirectional coupling relationship between the motor area and the sensory area of the brain. The EEG signals of the two areas have stronger coupling strength in greater grip, but components of EEG that linearly synchronized with EMG have weaker coupling strength in greater grip. The results reveal that the linear coupling strength of motor area and sensory area in central nervous system is weaker and the nonlinear coupling strength is stronger under the greater grip.

Original languageEnglish (US)
Title of host publicationICNC-FSKD 2018 - 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
EditorsZheng Xiao, Lipo Wang, Guoqing Xiao, Xiong Ning, Kenli Li, Maozhen Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1177-1181
Number of pages5
ISBN (Electronic)9781538680971
DOIs
StatePublished - Jul 2 2018
Event14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2018 - Huangshan, Anhui, China
Duration: Jul 28 2018Jul 30 2018

Publication series

NameICNC-FSKD 2018 - 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

Other

Other14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2018
CountryChina
CityHuangshan, Anhui
Period7/28/187/30/18

Keywords

  • Coupling relation
  • Linear synchronization
  • Symbolic transfer entropy

ASJC Scopus subject areas

  • Information Systems and Management
  • Logic
  • Modeling and Simulation
  • Statistics and Probability
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems

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