DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS

Mohamed Rezki; Abdelkader Belaidi; Mouloud Ayad

Araştırma Makalesi

DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS

Yıl 2017, Cilt: 59 Sayı: 2, 21 - 28, 20.12.2017

Mohamed Rezki Abdelkader Belaidi Mouloud Ayad

Öz

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.

Anahtar Kelimeler

Muscle fatigue, EMG, FFT, Wavelet

Kaynakça

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.

Yıl 2017, Cilt: 59 Sayı: 2, 21 - 28, 20.12.2017

Mohamed Rezki Abdelkader Belaidi Mouloud Ayad

Öz

Kaynakça

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.

Toplam 7 adet kaynakça vardır.

Ayrıntılar

Birincil Dil	İngilizce
Bölüm	Review Articles
Yazarlar	Mohamed Rezki Bu kişi benim Abdelkader Belaidi Bu kişi benim 0000-0003-2406-1644 Mouloud Ayad Bu kişi benim
Yayımlanma Tarihi	20 Aralık 2017
Gönderilme Tarihi	11 Kasım 2017
Kabul Tarihi	17 Aralık 2017
Yayımlandığı Sayı	Yıl 2017 Cilt: 59 Sayı: 2

Kaynak Göster

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. Aralık 2017;59(2):21-28.
Chicago	Rezki, Mohamed, Abdelkader Belaidi, ve 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, sy. 2 (Aralık 2017): 21-28.
EndNote	Rezki M, Belaidi A, Ayad M (01 Aralık 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, ve M. Ayad, “DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS”, Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng., c. 59, sy. 2, ss. 21–28, 2017.
ISNAD	Rezki, Mohamed vd. “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 (Aralık 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 vd. “DETECTION OF MUSCLE FATIGUE: RELATIVE STUDY WITH DIFFERENT METHODS”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, c. 59, sy. 2, 2017, ss. 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.