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2022 | OriginalPaper | Chapter

Development of a Matlab-Based Graphical User Interface for Analysis of High-Density Surface Electromyography Signals

Authors : I. S. Oliveira, M. A. Favretto, S. Cossul, J. L. B. Marques

Published in: XXVII Brazilian Congress on Biomedical Engineering

Publisher: Springer International Publishing

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Abstract

The high-density electromyography (HD-sEMG) is a non-invasive technique to measure muscular activity using grids of surface electrodes, being used to evaluate neuromuscular disorders. Therefore, the present work is aimed to develop a MATLAB-based graphical user interface (GUI) for HD-sEMG signal analysis. As input, the user uploads the HD-sEMG and force signals, acquired during a sustained contraction. The parameters calculated are: (a) amplitude estimators: average rectified value (ARV) and root mean square (RMS); (b) frequency estimators: mean frequency (MNF) and median frequency (MDF); (c) topographic maps estimators: coefficient of variation (CoV) and modified entropy (ME). Both the HD-sEMG, force, and the parameters are calculated along time intervals and presented in graphs. The topographic map that represents the muscular electrical activities under the electrode’s array location is also demonstrated within the GUI. To assess the reliability of the developed interface, the RMS and MNF parameters were used to compare the values obtained by the developed interface and the commercial interface OT BioLab+. A perfect degree of reliability (ICC = 1) was found for the RMS and MNF variables.

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Literature
1.
go back to reference Merletti R, Farina D (2016) Surface electromyography: physiology, engineering and applications, vol 24 Merletti R, Farina D (2016) Surface electromyography: physiology, engineering and applications, vol 24
2.
go back to reference Stegeman DF, Lapatki BG, Van Dijk JP (2012) High-density surface EMG: techniques and applications at a motor unit level. Biocybern Biomed Eng 32(3):3–27CrossRef Stegeman DF, Lapatki BG, Van Dijk JP (2012) High-density surface EMG: techniques and applications at a motor unit level. Biocybern Biomed Eng 32(3):3–27CrossRef
3.
go back to reference Zwarts MJ, Stegeman DF (2003) Multichannel surface EMG: basic aspects and clinical utility. Muscle Nerve 28:1–17CrossRef Zwarts MJ, Stegeman DF (2003) Multichannel surface EMG: basic aspects and clinical utility. Muscle Nerve 28:1–17CrossRef
4.
go back to reference Enoka RM (2012) Muscle fatigue—from motor units to clinical symptoms. J Biomech 45:427–433CrossRef Enoka RM (2012) Muscle fatigue—from motor units to clinical symptoms. J Biomech 45:427–433CrossRef
5.
go back to reference Gallina A, Marletti R, Vieira TMM (2011) Are the myoelectric manifestations of fatigue distributed regionally in the human medial gastrocnemius muscle? J Electromyogr Kinesiol 21:929–938CrossRef Gallina A, Marletti R, Vieira TMM (2011) Are the myoelectric manifestations of fatigue distributed regionally in the human medial gastrocnemius muscle? J Electromyogr Kinesiol 21:929–938CrossRef
6.
go back to reference Kaur M, Mathur S, Bhatia D, Verma S (2015) siGnum: graphical user interface for EMG signal analysis. J Med Eng Technol 39(1):19–25CrossRef Kaur M, Mathur S, Bhatia D, Verma S (2015) siGnum: graphical user interface for EMG signal analysis. J Med Eng Technol 39(1):19–25CrossRef
7.
go back to reference Mengarelli A, Cardarelli S, Verdini F, Burattini L, Fioretti S, Di Nardo F (2016) A MATLAB-based graphical user interface for the identification of muscular activations from surface electromyography signals. In: Annual international conference of the IEEE engineering in medicine and biology society (EMBC), pp 3646–3649 Mengarelli A, Cardarelli S, Verdini F, Burattini L, Fioretti S, Di Nardo F (2016) A MATLAB-based graphical user interface for the identification of muscular activations from surface electromyography signals. In: Annual international conference of the IEEE engineering in medicine and biology society (EMBC), pp 3646–3649
8.
go back to reference Favretto MA, Cossul S, Andreis FR, Balotin AF, Marques CMG, Marques JLB (2017) Desenvolvimento de um sistema de avaliação da força isométrica de flexão dorsal do pé. In: V Congresso Brasileiro de Eletromiografia e Cinesiologia e X Simpósio de Engenharia Biomédica, pp 377–380 Favretto MA, Cossul S, Andreis FR, Balotin AF, Marques CMG, Marques JLB (2017) Desenvolvimento de um sistema de avaliação da força isométrica de flexão dorsal do pé. In: V Congresso Brasileiro de Eletromiografia e Cinesiologia e X Simpósio de Engenharia Biomédica, pp 377–380
9.
go back to reference Favretto MA, Cossul S, Andreis FR, Balotin AF, Marques JLB (2018) High density surface EMG system based on ADS1298-front end. IEEE Latin Am Trans 16:1616–1622CrossRef Favretto MA, Cossul S, Andreis FR, Balotin AF, Marques JLB (2018) High density surface EMG system based on ADS1298-front end. IEEE Latin Am Trans 16:1616–1622CrossRef
10.
go back to reference Andersen LL, Andersen JL, Zebis MK, Aagaard P (2010) Early and late rate of force development: differential adaptive responses to resistance training? Scand J Med Sci Sports 20:162–169CrossRef Andersen LL, Andersen JL, Zebis MK, Aagaard P (2010) Early and late rate of force development: differential adaptive responses to resistance training? Scand J Med Sci Sports 20:162–169CrossRef
11.
go back to reference Farina D, Merletti R (2003) Estimation of average muscle fiber conduction velocity from two-dimensional surface EMG recordings. J Neurosci Methods 134:199–208CrossRef Farina D, Merletti R (2003) Estimation of average muscle fiber conduction velocity from two-dimensional surface EMG recordings. J Neurosci Methods 134:199–208CrossRef
12.
go back to reference Farina D, Pozzo M, Merlo E, Bottin A, Merletti R (2004) Assessment of average muscle fiber conduction velocity from surface EMG signals during fatiguing dynamic contractions. IEEE Trans Biomed Eng 51:1383–1393CrossRef Farina D, Pozzo M, Merlo E, Bottin A, Merletti R (2004) Assessment of average muscle fiber conduction velocity from surface EMG signals during fatiguing dynamic contractions. IEEE Trans Biomed Eng 51:1383–1393CrossRef
13.
go back to reference Merletti R, Parker P (2004) Electromyography: physiology. Engineering and non-invasive applications, pp 1–474 Merletti R, Parker P (2004) Electromyography: physiology. Engineering and non-invasive applications, pp 1–474
14.
go back to reference Farina D, Merletti RR (2000) Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions. J Electromyogr Kinesiol 10:337–349CrossRef Farina D, Merletti RR (2000) Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions. J Electromyogr Kinesiol 10:337–349CrossRef
15.
go back to reference Stulen FB, De Luca C J (1981) Frequency parameters of the myoelectric signal as a measure of muscle conduction velocity. IEEE Trans Biomed Eng 515–523 Stulen FB, De Luca C J (1981) Frequency parameters of the myoelectric signal as a measure of muscle conduction velocity. IEEE Trans Biomed Eng 515–523
16.
go back to reference Stulen FB, De Luca CJ (1982) Muscle fatigue monitor: a noninvasive device for observing localized muscular fatigue. IEEE Trans Biomed Eng BME-29:760–768 Stulen FB, De Luca CJ (1982) Muscle fatigue monitor: a noninvasive device for observing localized muscular fatigue. IEEE Trans Biomed Eng BME-29:760–768
17.
go back to reference Farina D, Merletti R (2008) Analysis of motor units with high-density surface electromyography. J Electromyogr Kinesiol 18:879–890CrossRef Farina D, Merletti R (2008) Analysis of motor units with high-density surface electromyography. J Electromyogr Kinesiol 18:879–890CrossRef
18.
go back to reference Watanabe K, Miyamoto T, Tanaka Y (2012) Type 2 diabetes mellitus patients manifest characteristic spatial EMG potential distribution pattern during sustained isometric contraction. Diabetes Res Clin Pract 97:468–473CrossRef Watanabe K, Miyamoto T, Tanaka Y (2012) Type 2 diabetes mellitus patients manifest characteristic spatial EMG potential distribution pattern during sustained isometric contraction. Diabetes Res Clin Pract 97:468–473CrossRef
19.
go back to reference Madeleine P, Leclerc F, Arendt-Nielsen L, Ravier P, Farina D (2006) Experimental muscle pain changes the spatial distribution of upper trapezius muscle activity during sustained contraction. Clin Neurophysiol 117:2436–2445CrossRef Madeleine P, Leclerc F, Arendt-Nielsen L, Ravier P, Farina D (2006) Experimental muscle pain changes the spatial distribution of upper trapezius muscle activity during sustained contraction. Clin Neurophysiol 117:2436–2445CrossRef
20.
go back to reference Nougarou F, Campeau-Lecours A, Massicotte D, Boukadoum M, Gosselin C, Gosselin B (2019) Pattern recognition based on HD-sEMG spatial features extraction for an efficient proportional control of a robotic arm Biomed. Signal Process Control 53:101550CrossRef Nougarou F, Campeau-Lecours A, Massicotte D, Boukadoum M, Gosselin C, Gosselin B (2019) Pattern recognition based on HD-sEMG spatial features extraction for an efficient proportional control of a robotic arm Biomed. Signal Process Control 53:101550CrossRef
21.
go back to reference Stegeman FD, Kleine BU, Lapatki BG, Van Dijk JP (2012) High-density surface EMG: techniques and applications at a motor unit level. Biocybern Biomed Eng 32:3–27 Stegeman FD, Kleine BU, Lapatki BG, Van Dijk JP (2012) High-density surface EMG: techniques and applications at a motor unit level. Biocybern Biomed Eng 32:3–27
Metadata
Title
Development of a Matlab-Based Graphical User Interface for Analysis of High-Density Surface Electromyography Signals
Authors
I. S. Oliveira
M. A. Favretto
S. Cossul
J. L. B. Marques
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-030-70601-2_267