Multiband EEG-EMG Bidirectional Coupling Analysis Based on Cortico-Muscular Coherence

Yunyuan Gao, Leilei Ren, Yingchun Zhang, Qingshan She, Yuliang Ma, Qizhong Zhang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


For CMC have the limitation that can't determine the direction of the coupling, different functional areas of EEG signals and the EMG signals are adopted to realize the bidirectional coupling analysis, according to the bidirectional transmission of neuromuscular information. The multi-band coupling analysis of EEG-EMG signals under multi-grip mode is performed in the different functional areas. Through the downstream(EEG->EMG)and upstream(EMG->EEG)analysis, it is found that the signal energy of EEG, amplitude and coupling strength of coherence shift to higher frequency with the increase of grip strength. Compared with method based on granger causality relation, the feasibility and advantage of the coherence method are verified in the bidirectional coupling analysis of brain-muscle connectivity. The results of the study provide the basis for the two-way information decoding of hand motion and the analysis of upper limb dysfunction.

Original languageEnglish (US)
Pages (from-to)1465-1471
Number of pages7
JournalChinese Journal of Sensors and Actuators
Issue number10
StatePublished - Oct 1 2017


  • Coherence
  • Corticomuscular function
  • Coupling analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'Multiband EEG-EMG Bidirectional Coupling Analysis Based on Cortico-Muscular Coherence'. Together they form a unique fingerprint.

Cite this