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Du S, Yu Q, Dai W, et al. Dictionary Learning Strategies for Cortico-Muscular Coherence Detection and Estimation. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:240-244doi: 10.1109/EMBC46164.2021.9630090.
Du, S., Yu, Q., Dai, W., McClelland, V., & Cvetkovic, Z. (2021). Dictionary Learning Strategies for Cortico-Muscular Coherence Detection and Estimation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021240-244. https://doi.org/10.1109/EMBC46164.2021.9630090
Du, Shengjia, et al. "Dictionary Learning Strategies for Cortico-Muscular Coherence Detection and Estimation." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2021 (2021): 240-244. doi: https://doi.org/10.1109/EMBC46164.2021.9630090
Du S, Yu Q, Dai W, McClelland V, Cvetkovic Z. Dictionary Learning Strategies for Cortico-Muscular Coherence Detection and Estimation. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:240-244. doi: 10.1109/EMBC46164.2021.9630090. PMID: 34891281.
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Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:240-244. doi: 10.1109/EMBC46164.2021.9630090.

Dictionary Learning Strategies for Cortico-Muscular Coherence Detection and Estimation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Shengjia Du, Qi Yu, Wei Dai, Verity McClelland, Zoran Cvetkovic

PMID: 34891281 DOI: 10.1109/EMBC46164.2021.9630090

Abstract

The spectral method of cortico-muscular coherence (CMC) can reveal the communication patterns between the cerebral cortex and muscle periphery, thus providing guidelines for the development of new therapies for movement disorders and insights into fundamental motor neuroscience. The method is applied to electroencephalogram (EEG) and surface electromyogram (sEMG) recorded synchronously during a motor task. However, synchronous EEG and sEMG components are typically too weak compared to additive noise and background activities making significant coherence very difficult to detect. Dictionary learning and sparse representation have been proved effective in enhancing CMC levels. In this paper, we explore the potential of a recently proposed dictionary learning algorithm in combination with an improved component selection algorithm for CMC enhancement. The effectiveness of the method was demonstrated using neurophysiological data where it achieved considerable improvements in CMC levels.

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