Cortico-muscular coherence enhancement via coherent Wavelet enhanced Independent Component Analysis

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Abstract

Functional coupling between the motor cortex and muscle activity is usually detected and characterized using the spectral method of cortico-muscular coherence (CMC) between surface electromyogram (sEMG) and electroencephalogram (EEG) recorded synchronously under motor control task. However, CMC is often weak and not easily detectable in all individuals. One of the reasons for the low levels of CMC is the presence of noise and components unrelated to the considered tasks in recorded sEMG and EEG signals. In this paper we propose a method for enhancing relative levels of sEMG components coherent with synchronous EEG signals via a variant of Wavelet Independent Component Analysis combined with a novel component selection algorithm. The effectiveness of the proposed algorithm is demonstrated using data collected in neurophysiologcal experiments.
Original languageEnglish
Title of host publication2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE
Pages2786-2789
Number of pages4
ISBN (Electronic)978-1-5090-2809-2
ISBN (Print)978-1-5090-2810-8
DOIs
Publication statusPublished - Jul 2017
Event2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Seogwipo, South Korea, Seogwipo, Korea, Republic of
Duration: 11 Jul 201715 Jul 2017

Publication series

Name
PublisherIEEE Xplore
ISSN (Print)1557-170X
ISSN (Electronic)1558-4615

Conference

Conference2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Country/TerritoryKorea, Republic of
CitySeogwipo
Period11/07/201715/07/2017

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