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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
Subtitle of host publicationVol. 25/4 Image processing, biosignal processing, modelling and simulation, biomechanics
EditorsOlaf Dössel, Wolfgang C. Schlegel
Place of PublicationBerlin (DE)
PublisherSpringer
Pages1576-1579
Number of pages4
ISBN (Electronic)978-3-642-03882-2
ISBN (Print)978-3-642-03881-5
DOIs
Publication statusPublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering - Munich, Germany
Duration: 7 Sep 200912 Sep 2009

Publication series

NameIFMBE proceedings
PublisherSpringer
Volume25/4
ISSN (Print)1680-0737

Congress

CongressWorld Congress on Medical Physics and Biomedical Engineering
CountryGermany
CityMunich
Period7/09/0912/09/09
OtherImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics

Fingerprint

Muscle
Notch filters
Physiology
Sports
Patient rehabilitation
Medicine
Synchronization

Keywords

  • motor unit synchronization
  • tonic vibration reflex
  • whole body vibration

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). Berlin (DE): Springer. https://doi.org/10.1007/978-3-642-03882-2-418
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. 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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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.; Romano, M.; Ruffo, M.

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/Report/Conference proceedingConference contribution

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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). https://doi.org/10.1007/978-3-642-03882-2-418