A simulation of the surface EMG for analysis of muscle activity during whole body vibratory stimulation

A. Fratini; M. Cesarelli; P. Bifulco; M. Romano; M. Ruffo

doi:10.1007/978-3-642-03882-2-418

A simulation of the surface EMG for analysis of muscle activity during whole body vibratory stimulation

A. Fratini, M. Cesarelli, P. Bifulco, M. Romano, M. Ruffo

College of Health and Life Sciences

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Many studies have accounted for whole body vibration effects in the fields of exercise physiology, sport and rehabilitation medicine. Generally, surface EMG is utilized to assess muscular activity during the treatment; however, large motion artifacts appear superimposed to the raw signal, making sEMG recording not suitable before any artifact filtering. Sharp notch filters, centered at vibration frequency and at its superior harmonics, have been used in previous studies, to remove the artifacts. [6, 10] However, to get rid of those artifacts some true EMG signal is lost. The purpose of this study was to reproduce the effect of motor-unit synchronization on a simulated surface EMG during vibratory stimulation. In addition, authors mean to evaluate the EMG power percentage in those bands in which are also typically located motion artifact components. Model characteristics were defined to take into account two main aspect: the muscle MUs discharge behavior and the triggering effects that appear during local vibratory stimulation. [7] Inter-pulse-interval, was characterized by a polimodal distribution related to the MU discharge frequency (IPI 55-80ms, σ=12ms) and to the correlation with the vibration period within the range of ±2 ms due to vibration stimulus. [1, 7] The signals were simulated using different stimulation frequencies from 30 to 70 Hz. The percentage of the total simulated EMG power within narrow bands centered at the stimulation frequency and its superior harmonics (± 1 Hz) resulted on average about 8% (± 2.85) of the total EMG power. However, the artifact in those bands may contain more than 40% of the total power of the total signal. [6] Our preliminary results suggest that the analysis of the muscular activity of muscle based on raw sEMG recordings and RMS evaluation, if not processed during vibratory stimulation may lead to a serious overestimation of muscular response.

Original language	English
Title of host publication	World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
Subtitle of host publication	Vol. 25/4 Image processing, biosignal processing, modelling and simulation, biomechanics
Editors	Olaf Dössel, Wolfgang C. Schlegel
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	1576-1579
Number of pages	4
ISBN (Electronic)	978-3-642-03882-2
ISBN (Print)	978-3-642-03881-5
DOIs	https://doi.org/10.1007/978-3-642-03882-2-418
Publication status	Published - 2009
Event	World Congress on Medical Physics and Biomedical Engineering - Munich, Germany Duration: 7 Sept 2009 → 12 Sept 2009

Publication series

Name	IFMBE proceedings
Publisher	Springer
Volume	25/4
ISSN (Print)	1680-0737

Congress

Congress	World Congress on Medical Physics and Biomedical Engineering
Country/Territory	Germany
City	Munich
Period	7/09/09 → 12/09/09
Other	Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics

Keywords

motor unit synchronization
tonic vibration reflex
whole body vibration

Access to Document

10.1007/978-3-642-03882-2-418

Cite this

Fratini, A., Cesarelli, M., Bifulco, P., Romano, M., & Ruffo, M. (2009). A simulation of the surface EMG for analysis of muscle activity during whole body vibratory stimulation. In O. Dössel, & W. C. Schlegel (Eds.), World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany: Vol. 25/4 Image processing, biosignal processing, modelling and simulation, biomechanics (pp. 1576-1579). (IFMBE proceedings; Vol. 25/4). Springer. https://doi.org/10.1007/978-3-642-03882-2-418

Fratini, A. ; Cesarelli, M. ; Bifulco, P. et al. / A simulation of the surface EMG for analysis of muscle activity during whole body vibratory stimulation. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany: Vol. 25/4 Image processing, biosignal processing, modelling and simulation, biomechanics. editor / Olaf Dössel ; Wolfgang C. Schlegel. Berlin (DE) : Springer, 2009. pp. 1576-1579 (IFMBE proceedings).

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abstract = "Many studies have accounted for whole body vibration effects in the fields of exercise physiology, sport and rehabilitation medicine. Generally, surface EMG is utilized to assess muscular activity during the treatment; however, large motion artifacts appear superimposed to the raw signal, making sEMG recording not suitable before any artifact filtering. Sharp notch filters, centered at vibration frequency and at its superior harmonics, have been used in previous studies, to remove the artifacts. [6, 10] However, to get rid of those artifacts some true EMG signal is lost. The purpose of this study was to reproduce the effect of motor-unit synchronization on a simulated surface EMG during vibratory stimulation. In addition, authors mean to evaluate the EMG power percentage in those bands in which are also typically located motion artifact components. Model characteristics were defined to take into account two main aspect: the muscle MUs discharge behavior and the triggering effects that appear during local vibratory stimulation. [7] Inter-pulse-interval, was characterized by a polimodal distribution related to the MU discharge frequency (IPI 55-80ms, σ=12ms) and to the correlation with the vibration period within the range of ±2 ms due to vibration stimulus. [1, 7] The signals were simulated using different stimulation frequencies from 30 to 70 Hz. The percentage of the total simulated EMG power within narrow bands centered at the stimulation frequency and its superior harmonics (± 1 Hz) resulted on average about 8% (± 2.85) of the total EMG power. However, the artifact in those bands may contain more than 40% of the total power of the total signal. [6] Our preliminary results suggest that the analysis of the muscular activity of muscle based on raw sEMG recordings and RMS evaluation, if not processed during vibratory stimulation may lead to a serious overestimation of muscular response.",

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Fratini, A, Cesarelli, M, Bifulco, P, Romano, M & Ruffo, M 2009, A simulation of the surface EMG for analysis of muscle activity during whole body vibratory stimulation. in O Dössel & WC Schlegel (eds), World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany: Vol. 25/4 Image processing, biosignal processing, modelling and simulation, biomechanics. IFMBE proceedings, vol. 25/4, Springer, Berlin (DE), pp. 1576-1579, World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, 7/09/09. https://doi.org/10.1007/978-3-642-03882-2-418

A simulation of the surface EMG for analysis of muscle activity during whole body vibratory stimulation. / Fratini, A.; Cesarelli, M.; Bifulco, P. et al.
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany: Vol. 25/4 Image processing, biosignal processing, modelling and simulation, biomechanics. ed. / Olaf Dössel; Wolfgang C. Schlegel. Berlin (DE): Springer, 2009. p. 1576-1579 (IFMBE proceedings; Vol. 25/4).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Cesarelli, M.

AU - Bifulco, P.

AU - Romano, M.

AU - Ruffo, M.

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N2 - Many studies have accounted for whole body vibration effects in the fields of exercise physiology, sport and rehabilitation medicine. Generally, surface EMG is utilized to assess muscular activity during the treatment; however, large motion artifacts appear superimposed to the raw signal, making sEMG recording not suitable before any artifact filtering. Sharp notch filters, centered at vibration frequency and at its superior harmonics, have been used in previous studies, to remove the artifacts. [6, 10] However, to get rid of those artifacts some true EMG signal is lost. The purpose of this study was to reproduce the effect of motor-unit synchronization on a simulated surface EMG during vibratory stimulation. In addition, authors mean to evaluate the EMG power percentage in those bands in which are also typically located motion artifact components. Model characteristics were defined to take into account two main aspect: the muscle MUs discharge behavior and the triggering effects that appear during local vibratory stimulation. [7] Inter-pulse-interval, was characterized by a polimodal distribution related to the MU discharge frequency (IPI 55-80ms, σ=12ms) and to the correlation with the vibration period within the range of ±2 ms due to vibration stimulus. [1, 7] The signals were simulated using different stimulation frequencies from 30 to 70 Hz. The percentage of the total simulated EMG power within narrow bands centered at the stimulation frequency and its superior harmonics (± 1 Hz) resulted on average about 8% (± 2.85) of the total EMG power. However, the artifact in those bands may contain more than 40% of the total power of the total signal. [6] Our preliminary results suggest that the analysis of the muscular activity of muscle based on raw sEMG recordings and RMS evaluation, if not processed during vibratory stimulation may lead to a serious overestimation of muscular response.

AB - Many studies have accounted for whole body vibration effects in the fields of exercise physiology, sport and rehabilitation medicine. Generally, surface EMG is utilized to assess muscular activity during the treatment; however, large motion artifacts appear superimposed to the raw signal, making sEMG recording not suitable before any artifact filtering. Sharp notch filters, centered at vibration frequency and at its superior harmonics, have been used in previous studies, to remove the artifacts. [6, 10] However, to get rid of those artifacts some true EMG signal is lost. The purpose of this study was to reproduce the effect of motor-unit synchronization on a simulated surface EMG during vibratory stimulation. In addition, authors mean to evaluate the EMG power percentage in those bands in which are also typically located motion artifact components. Model characteristics were defined to take into account two main aspect: the muscle MUs discharge behavior and the triggering effects that appear during local vibratory stimulation. [7] Inter-pulse-interval, was characterized by a polimodal distribution related to the MU discharge frequency (IPI 55-80ms, σ=12ms) and to the correlation with the vibration period within the range of ±2 ms due to vibration stimulus. [1, 7] The signals were simulated using different stimulation frequencies from 30 to 70 Hz. The percentage of the total simulated EMG power within narrow bands centered at the stimulation frequency and its superior harmonics (± 1 Hz) resulted on average about 8% (± 2.85) of the total EMG power. However, the artifact in those bands may contain more than 40% of the total power of the total signal. [6] Our preliminary results suggest that the analysis of the muscular activity of muscle based on raw sEMG recordings and RMS evaluation, if not processed during vibratory stimulation may lead to a serious overestimation of muscular response.

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Fratini A, Cesarelli M, Bifulco P, Romano M, Ruffo M. A simulation of the surface EMG for analysis of muscle activity during whole body vibratory stimulation. In Dössel O, Schlegel WC, editors, World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany: Vol. 25/4 Image processing, biosignal processing, modelling and simulation, biomechanics. Berlin (DE): Springer. 2009. p. 1576-1579. (IFMBE proceedings). doi: 10.1007/978-3-642-03882-2-418

A simulation of the surface EMG for analysis of muscle activity during whole body vibratory stimulation

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