The cortical-muscular functional coupling performance evaluation based on harmonic wavelet and symbolic phase transfer entropy

  • Xiaobi Chen
  • , Guanghua Xu
  • , Sicong Zhang
  • , Li Min

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Synchronous analysis of Electroencephalogram (EEG) and Electromyography (EMG) signals can reflect the information transport function of the motor nerve. Symbol phase transfer entropy was a further improvement of transfer entropy. It was applied to the analysis of synchronous EEG and EMG signal to evaluate the performance of cortical muscle coupling. The EEG/EMG signals recorded synchronously at different muscle strength were decomposed into uniform narrow band oscillations using harmonic wavelet transform. The corresponding SPTEs of EEG and EMG narrow band oscillations were calculated and summed, and the significant areas were obtained. By moving the analysis window, time varying significant areas were obtained and significant area curves showed the corresponding strength of cortical muscle coupling.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages500-504
Number of pages5
ISBN (Electronic)9781538673553
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018 - Shenzhen, China
Duration: 25 Oct 201827 Oct 2018

Publication series

Name2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018

Conference

Conference2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
Country/TerritoryChina
CityShenzhen
Period25/10/1827/10/18

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