Changes in EMG During Short Duration Supra Maximal and Long Duration Sub-maximal Exercise: A Comparative Study

Vijay Pal Singh, Dinesh Kant Kumar, Barbara Polus, Steve Fraser, Sonia Lo Guidice

2006

Abstract

Surface electromyogram (sEMG) is a non-invasive recording of the underlying muscle activities. It is used as a measure of the force of contraction, and changes in sEMG are used as an indicator for localized muscle fatigue. This paper reports a study undertaken to determine the difference in the change of sEMG due to fatigue resulting from short time sprint cycling, and long duration cycling. This paper reports the results of the experimental study of the two kinds of exercises i.e. short duration ( supra-maximal) and the long duration (sub-maximal). The results indicate that measure of the spectrum shift was effective in the detection of fatigue in supra-maximal dynamic contraction but was not useful for fatigue caused due to long duration sub-maximal cycling.

References

  1. G Kamen, G Caldwell: Physiology and Interpretation of the Electromyogram. Journal of Neurophysiology. 13 366-384, (1996)
  2. A V Nargol, A P Jones, P J Kelly, C Greenough: Factors in the reproducibility of electromyographic power spectrum analysis of lumbar Para spinal muscle fatigue Spine. 24 (9)(1999) 883-888
  3. C Oliver, K Tillostson, A P Jones, R Royal : Reproducibility of lumbar Para spinal surface electromyogram power spectra. Clin. Biomech 11(6) (1996) 317-321
  4. N Pah, D Kumar and P Burton: Adding Wavelet Decomposition to Neural Networks for the Classification of Fatigue SEMG. 2nd Conference of the Victorian chapter of the IEEE engineering in medicine and biology society, February 2001
  5. C J De Luca: Myoelectric manifestation of localized muscle fatigue in humans. CRC critical review in Biomedical Engineering. 11 (4) 251-279
  6. J R Cram, G S Kasman, and J Holtz: Introduction to Surface Electromyography, Aspen Publishers, Gaithersburg, Maryland(1998)
  7. D Kumar, N Pah, and A Bradley: Wavelet Analysis of Surface Electromyography to Determine Muscle Fatigue. IEEE transactions on neural systems and rehabilitation engineering.11(4) 400 - 406 (2003)
  8. D Kumar, N Pah: Neural Networks and Wavelets for EMG analysis. J EMG and Clinical Neuro.40 (7) 411- 421(2001)
  9. Singh, V.P. Kumar, D.K, et. al.: Strategies to identify muscle fatigue from SEMG during cycling. Intelligent Sensors, Sensor Networks and Information Processing Conference, Proceedings of the 2004, (2004 )547-551
Download


Paper Citation


in Harvard Style

Pal Singh V., Kant Kumar D., Polus B., Fraser S. and Lo Guidice S. (2006). Changes in EMG During Short Duration Supra Maximal and Long Duration Sub-maximal Exercise: A Comparative Study . In Proceedings of the 2nd International Workshop on Biosignal Processing and Classification - Volume 1: BPC, (ICINCO 2006) ISBN 978-972-8865-67-2, pages 68-75. DOI: 10.5220/0001224000680075


in Bibtex Style

@conference{bpc06,
author={Vijay Pal Singh and Dinesh Kant Kumar and Barbara Polus and Steve Fraser and Sonia Lo Guidice},
title={Changes in EMG During Short Duration Supra Maximal and Long Duration Sub-maximal Exercise: A Comparative Study},
booktitle={Proceedings of the 2nd International Workshop on Biosignal Processing and Classification - Volume 1: BPC, (ICINCO 2006)},
year={2006},
pages={68-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001224000680075},
isbn={978-972-8865-67-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Workshop on Biosignal Processing and Classification - Volume 1: BPC, (ICINCO 2006)
TI - Changes in EMG During Short Duration Supra Maximal and Long Duration Sub-maximal Exercise: A Comparative Study
SN - 978-972-8865-67-2
AU - Pal Singh V.
AU - Kant Kumar D.
AU - Polus B.
AU - Fraser S.
AU - Lo Guidice S.
PY - 2006
SP - 68
EP - 75
DO - 10.5220/0001224000680075