Cross-frequency information transfer from EEG to EMG in grasping

Winnie K.Y. So; Lingling Yang; Beth Jelfs; Qi She; Savio W.H. Wong; Joseph N. Mak; Rosa H.M. Chan

doi:10.1109/EMBC.2016.7591735

Cross-frequency information transfer from EEG to EMG in grasping

Winnie K.Y. So, Lingling Yang, Beth Jelfs, Qi She, Savio W.H. Wong, Joseph N. Mak, Rosa H.M. Chan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

This paper presents an investigation into the cortico-muscular relationship during a grasping task by evaluating the information transfer between EEG and EMG signals. Information transfer was computed via a non-linear model-free measure, transfer entropy (TE). To examine the cross-frequency interaction, TEs were computed after the times series were decomposed into various frequency ranges via wavelet transform. Our results demonstrate the capability of TE to capture the direct interaction between EEG and EMG. In addition, the cross-frequency analysis revealed instantaneous decrease in information transfer from EEG to the high frequency component of EMG (100-200Hz) during the onset of movement.

Original language	English
Title of host publication	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Publisher	IEEE
Pages	4531-4534
Number of pages	4
ISBN (Electronic)	9781457702204
DOIs	https://doi.org/10.1109/EMBC.2016.7591735
Publication status	Published - 13 Oct 2016
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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Cite this

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title = "Cross-frequency information transfer from EEG to EMG in grasping",

abstract = "This paper presents an investigation into the cortico-muscular relationship during a grasping task by evaluating the information transfer between EEG and EMG signals. Information transfer was computed via a non-linear model-free measure, transfer entropy (TE). To examine the cross-frequency interaction, TEs were computed after the times series were decomposed into various frequency ranges via wavelet transform. Our results demonstrate the capability of TE to capture the direct interaction between EEG and EMG. In addition, the cross-frequency analysis revealed instantaneous decrease in information transfer from EEG to the high frequency component of EMG (100-200Hz) during the onset of movement.",

author = "So, {Winnie K.Y.} and Lingling Yang and Beth Jelfs and Qi She and Wong, {Savio W.H.} and Mak, {Joseph N.} and Chan, {Rosa H.M.}",

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T1 - Cross-frequency information transfer from EEG to EMG in grasping

AU - So, Winnie K.Y.

AU - Yang, Lingling

AU - Jelfs, Beth

AU - She, Qi

AU - Wong, Savio W.H.

AU - Mak, Joseph N.

AU - Chan, Rosa H.M.

PY - 2016/10/13

Y1 - 2016/10/13

N2 - This paper presents an investigation into the cortico-muscular relationship during a grasping task by evaluating the information transfer between EEG and EMG signals. Information transfer was computed via a non-linear model-free measure, transfer entropy (TE). To examine the cross-frequency interaction, TEs were computed after the times series were decomposed into various frequency ranges via wavelet transform. Our results demonstrate the capability of TE to capture the direct interaction between EEG and EMG. In addition, the cross-frequency analysis revealed instantaneous decrease in information transfer from EEG to the high frequency component of EMG (100-200Hz) during the onset of movement.

AB - This paper presents an investigation into the cortico-muscular relationship during a grasping task by evaluating the information transfer between EEG and EMG signals. Information transfer was computed via a non-linear model-free measure, transfer entropy (TE). To examine the cross-frequency interaction, TEs were computed after the times series were decomposed into various frequency ranges via wavelet transform. Our results demonstrate the capability of TE to capture the direct interaction between EEG and EMG. In addition, the cross-frequency analysis revealed instantaneous decrease in information transfer from EEG to the high frequency component of EMG (100-200Hz) during the onset of movement.

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DO - 10.1109/EMBC.2016.7591735

M3 - Conference contribution

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SP - 4531

EP - 4534

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

PB - IEEE

ER -

Cross-frequency information transfer from EEG to EMG in grasping

Abstract

Bibliographical note

ASJC Scopus subject areas

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