Cortico-Muscular Coherence Enhancement Via Sparse Signal Representation

Yuhang Xu; Qi Yu; Wei Dai; Zoran Cvetkovic; Verity McClelland

doi:10.1109/ICASSP.2018.8461474

Cortico-Muscular Coherence Enhancement Via Sparse Signal Representation

Yuhang Xu, Qi Yu, Wei Dai, Zoran Cvetkovic, Verity McClelland

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

2 Citations (Scopus)

Abstract

Identifiction of specific cortico-muscular interactions is essential for understanding sensorimotor control. These interactions are commonly studied by analyzing cortico-muscular coherence (CMC) between electroencephalogram (EEG) and surface electromyogram (sEMG) recorded synchronously under a motor control task. However, the presence of noise and components irrelevant to the monitored task weakens CMC so that it is often very difficult to detect. This study proposes an approach based on dictionary learning and sparse signal representation combined with a component selection algorithm to extract versions of EEG and sEMG signals which contain higher relative levels of coherent components. Evaluations using neurophysiological data show that the method achieves substantial increase in CMC levels.

Original language	English
Title of host publication	2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher	IEEE
ISBN (Electronic)	978-1-5386-4658-8
ISBN (Print)	978-1-5386-4659-5
DOIs	https://doi.org/10.1109/ICASSP.2018.8461474
Publication status	Published - 13 Sept 2018
Externally published	Yes
Event	International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Calgary, Canada Duration: 15 Apr 2018 → 20 Apr 2018 https://2018.ieeeicassp.org/

Publication series

Name	Conference Proceedings
Publisher	IEEE
ISSN (Electronic)	2379-190X

Conference

Conference	International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Abbreviated title	ICASSP
Country/Territory	Canada
City	Calgary
Period	15/04/18 → 20/04/18
Internet address	https://2018.ieeeicassp.org/

Keywords

Electroencephalography
coherence
dictionaries
sparse matrices
task analysis
Machine learning
convex functions

Access to Document

10.1109/ICASSP.2018.8461474

Cite this

Xu, Y, Yu, Q, Dai, W, Cvetkovic, Z & McClelland , V 2018, Cortico-Muscular Coherence Enhancement Via Sparse Signal Representation. in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Conference Proceedings, IEEE, International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Alberta, Canada, 15/04/18. https://doi.org/10.1109/ICASSP.2018.8461474

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title = "Cortico-Muscular Coherence Enhancement Via Sparse Signal Representation",

abstract = "Identifiction of specific cortico-muscular interactions is essential for understanding sensorimotor control. These interactions are commonly studied by analyzing cortico-muscular coherence (CMC) between electroencephalogram (EEG) and surface electromyogram (sEMG) recorded synchronously under a motor control task. However, the presence of noise and components irrelevant to the monitored task weakens CMC so that it is often very difficult to detect. This study proposes an approach based on dictionary learning and sparse signal representation combined with a component selection algorithm to extract versions of EEG and sEMG signals which contain higher relative levels of coherent components. Evaluations using neurophysiological data show that the method achieves substantial increase in CMC levels.",

keywords = "Electroencephalography, coherence, dictionaries, sparse matrices, task analysis, Machine learning, convex functions",

author = "Yuhang Xu and Qi Yu and Wei Dai and Zoran Cvetkovic and Verity McClelland",

year = "2018",

month = sep,

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doi = "10.1109/ICASSP.2018.8461474",

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address = "United States",

note = "International Conference on Acoustics, Speech and Signal Processing (ICASSP), ICASSP ; Conference date: 15-04-2018 Through 20-04-2018",

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T1 - Cortico-Muscular Coherence Enhancement Via Sparse Signal Representation

AU - Xu, Yuhang

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AU - Cvetkovic, Zoran

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PY - 2018/9/13

Y1 - 2018/9/13

N2 - Identifiction of specific cortico-muscular interactions is essential for understanding sensorimotor control. These interactions are commonly studied by analyzing cortico-muscular coherence (CMC) between electroencephalogram (EEG) and surface electromyogram (sEMG) recorded synchronously under a motor control task. However, the presence of noise and components irrelevant to the monitored task weakens CMC so that it is often very difficult to detect. This study proposes an approach based on dictionary learning and sparse signal representation combined with a component selection algorithm to extract versions of EEG and sEMG signals which contain higher relative levels of coherent components. Evaluations using neurophysiological data show that the method achieves substantial increase in CMC levels.

AB - Identifiction of specific cortico-muscular interactions is essential for understanding sensorimotor control. These interactions are commonly studied by analyzing cortico-muscular coherence (CMC) between electroencephalogram (EEG) and surface electromyogram (sEMG) recorded synchronously under a motor control task. However, the presence of noise and components irrelevant to the monitored task weakens CMC so that it is often very difficult to detect. This study proposes an approach based on dictionary learning and sparse signal representation combined with a component selection algorithm to extract versions of EEG and sEMG signals which contain higher relative levels of coherent components. Evaluations using neurophysiological data show that the method achieves substantial increase in CMC levels.

KW - Electroencephalography

KW - coherence

KW - dictionaries

KW - sparse matrices

KW - task analysis

KW - Machine learning

KW - convex functions

U2 - 10.1109/ICASSP.2018.8461474

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M3 - Conference proceeding

SN - 978-1-5386-4659-5

T3 - Conference Proceedings

BT - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - IEEE

T2 - International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Y2 - 15 April 2018 through 20 April 2018

ER -

Cortico-Muscular Coherence Enhancement Via Sparse Signal Representation

Abstract

Publication series

Conference

Keywords

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