Analysis of phasic and tonic electromyographic signal characteristics: electromyographic synthesis and comparison of novel morphological and linear-envelope approaches

Belavý, Daniel L., Mehnert, Andrew, Wilson, Stephen and Richardson, Carolyn A. 2009, Analysis of phasic and tonic electromyographic signal characteristics: electromyographic synthesis and comparison of novel morphological and linear-envelope approaches, Journal of electromyography and kinesiology, vol. 19, no. 1, pp. 10-21, doi: 10.1016/j.jelekin.2007.02.018.

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Title Analysis of phasic and tonic electromyographic signal characteristics: electromyographic synthesis and comparison of novel morphological and linear-envelope approaches
Author(s) Belavý, Daniel L.ORCID iD for Belavý, Daniel L. orcid.org/0000-0002-9307-832X
Mehnert, Andrew
Wilson, Stephen
Richardson, Carolyn A.
Journal name Journal of electromyography and kinesiology
Volume number 19
Issue number 1
Start page 10
End page 21
Total pages 12
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2009-02
ISSN 1050-6411
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Neurosciences
Physiology
Rehabilitation
Sport Sciences
Neurosciences & Neurology
REHABILITATION, SCI
Surface electromyography
Repetitive-movement
Motor control
Amplitude modulation
Phasic
Tonic
RESPIRATORY ACTIVATION
HUMAN DIAPHRAGM
TRUNK MUSCLES
EMG
SOLEUS
Summary The pattern of tonic and phasic components in an EMG signal reflects the underlying behaviour of the central nervous system (CNS) in controlling the musculature. One avenue for gaining a better understanding of this behaviour is to seek a quantitative characterisation of these phasic and tonic components. We propose that these signal characteristics can range between unvarying, tonic and intermittent, phasic activation through a continuum of EMG amplitude modulation. In this paper, we present two new algorithms for quantifying amplitude modulation: a linear-envelope approach, and a mathematical morphology approach. In addition we present an algorithm for synthesising EMG signals with known amplitude modulation. The efficacy of the synthesis algorithm is demonstrated using real EMG data. We present an evaluation and comparison of the two algorithms for quantifying amplitude modulation based on synthetic data generated by the proposed synthesis algorithm. The results demonstrate that the EMG synthesis parameters represent 91.9% and 96.2% of the variance of linear-envelopes extracted from lumbo-pelvic muscle EMG signals collected from subjects performing a repetitive-movement task. This depended, however, on the muscle and movement-speed considered (F=4.02, p<0.001). Coefficients of determination between input and output amplitude modulation variables were used to quantify the accuracy of the linear-envelope and morphological signal processing algorithms. The linear-envelope algorithm exhibited higher coefficients of determination than the most accurate morphological approach (and hence greater accuracy, T=8.16, p<0.001). Similarly, the standard deviation of the coefficients of determination was 1.691 times smaller (p<0.001). This signal processing algorithm represents a novel tool for the quantification of amplitude modulation in continuous EMG signals and can be used in the study of CNS motor control of the musculature in repetitive-movement tasks.
Language eng
DOI 10.1016/j.jelekin.2007.02.018
Field of Research 110699 Human Movement and Sports Science not elsewhere classified
Socio Economic Objective 920299 Health and Support Services not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2007, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071010

Document type: Journal Article
Collection: School of Exercise and Nutrition Sciences
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