DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS

Mohamed Rezki; Abdelkader Belaidi; Mouloud Ayad

Research Article

DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS

Year 2017, Volume: 59 Issue: 2, 21 - 28, 20.12.2017

Mohamed Rezki Abdelkader Belaidi Mouloud Ayad

Abstract

This paper aims to investigate problem of muscle fatigue through the
application of a comparative study by different processing techniques in order
to see the effect of physical exercise on Electromyography characteristics.
Indeed, electromyography is the best physiological examination to study muscle
activity and it is translated by an electromyogram (EMG).

The analysis of
the biomedical signal "EMG" before and after physical exercise
allowed us to quantify the physical effort and give some diagnostic elements
that can help the practitioner.

We applied some
signal processing techniques to quantify the physical effort and therefore we
were able to identify and detect muscle fatigue.

Keywords

Muscle fatigue, EMG, FFT, Wavelet

References

J. M. Weiss, L.D Weiss and J.K. Silver, Easy EMG . Elsevier Inc., First edition, Philadelphia, USA, (2004) 4.
R Arduino card. Retrieved: July, 12, 2017. Available at: http://arduino.cc/.
E. M. Kutz. Standard Handbook of Biomedical Engineering and Design. McGraw-Hill Companies,Inc., First edition, New York, USA, (2003) 447-448.
M.Rezki & al., De-noising a Signal’s ECG sensor using various Wavelets Transforms and other analyzing techniques. International Journal of Applied Engineering Research, (2013) 589-599.
K. J. Blinowska, J. Zygierewicz, Practical Biomedical Signal Analysis Using MATLAB. CRC Press, Taylor & Francis Group, LLC, First edition, New York, USA, (2011) 54.
J. Rafiee & al., Wavelet basis functions in biomedical signal processing. Expert Systems with Applications, vol.38 , (2011) 6190–6201.
M.Ayad , D.Chikouche , N.Boukezzoula N and M.Rezki, Search of a robust defect signature in gear systems across adaptive Morlet wavelet of vibration signals. IET Signal Processing, 8/9, (2014) 918 –926.

Year 2017, Volume: 59 Issue: 2, 21 - 28, 20.12.2017

Mohamed Rezki Abdelkader Belaidi Mouloud Ayad

Abstract

References

J. M. Weiss, L.D Weiss and J.K. Silver, Easy EMG . Elsevier Inc., First edition, Philadelphia, USA, (2004) 4.
R Arduino card. Retrieved: July, 12, 2017. Available at: http://arduino.cc/.
E. M. Kutz. Standard Handbook of Biomedical Engineering and Design. McGraw-Hill Companies,Inc., First edition, New York, USA, (2003) 447-448.
M.Rezki & al., De-noising a Signal’s ECG sensor using various Wavelets Transforms and other analyzing techniques. International Journal of Applied Engineering Research, (2013) 589-599.
K. J. Blinowska, J. Zygierewicz, Practical Biomedical Signal Analysis Using MATLAB. CRC Press, Taylor & Francis Group, LLC, First edition, New York, USA, (2011) 54.
J. Rafiee & al., Wavelet basis functions in biomedical signal processing. Expert Systems with Applications, vol.38 , (2011) 6190–6201.
M.Ayad , D.Chikouche , N.Boukezzoula N and M.Rezki, Search of a robust defect signature in gear systems across adaptive Morlet wavelet of vibration signals. IET Signal Processing, 8/9, (2014) 918 –926.

There are 7 citations in total.

Details

Primary Language	English
Journal Section	Review Articles
Authors	Mohamed Rezki This is me Abdelkader Belaidi This is me 0000-0003-2406-1644 Mouloud Ayad This is me
Publication Date	December 20, 2017
Submission Date	November 11, 2017
Acceptance Date	December 17, 2017
Published in Issue	Year 2017 Volume: 59 Issue: 2

Cite

APA	Rezki, M., Belaidi, A., & Ayad, M. (2017). DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, 59(2), 21-28.
AMA	Rezki M, Belaidi A, Ayad M. DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. December 2017;59(2):21-28.
Chicago	Rezki, Mohamed, Abdelkader Belaidi, and Mouloud Ayad. “DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 59, no. 2 (December 2017): 21-28.
EndNote	Rezki M, Belaidi A, Ayad M (December 1, 2017) DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 59 2 21–28.
IEEE	M. Rezki, A. Belaidi, and M. Ayad, “DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS”, Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng., vol. 59, no. 2, pp. 21–28, 2017.
ISNAD	Rezki, Mohamed et al. “DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 59/2 (December 2017), 21-28.
JAMA	Rezki M, Belaidi A, Ayad M. DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2017;59:21–28.
MLA	Rezki, Mohamed et al. “DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, vol. 59, no. 2, 2017, pp. 21-28.
Vancouver	Rezki M, Belaidi A, Ayad M. DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2017;59(2):21-8.