Cross-frequency information transfer from EEG to EMG in grasping

So, W, Yang, L, Jelfs, B, She, Q, Wong, S, Mak, J and Chan, R 2016, 'Cross-frequency information transfer from EEG to EMG in grasping', in Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), Orlando, Florida, United States, 16-20 August 2016, pp. 4531-4534.


Document type: Conference Paper
Collection: Conference Papers

Title Cross-frequency information transfer from EEG to EMG in grasping
Author(s) So, W
Yang, L
Jelfs, B
She, Q
Wong, S
Mak, J
Chan, R
Year 2016
Conference name EMBC 2016: Empowering Individual Healthcare Decisions through Technology
Conference location Orlando, Florida, United States
Conference dates 16-20 August 2016
Proceedings title Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016)
Publisher IEEE
Place of publication United States
Start page 4531
End page 4534
Total pages 4
Abstract This paper presents an investigation into the corticomuscular 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.
Subjects Signal Processing
Biological Sciences not elsewhere classified
DOI - identifier 10.1109/EMBC.2016.7591735
Copyright notice © 2016 IEEE.
ISBN 9781457702198
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