Skip to main content

Surface Conduction Analysis of EMG Signal from Forearm Muscles

  • Conference paper

Part of the IFMBE Proceedings book series (IFMBE,volume 23)

Abstract

Determining muscle forces of the finger during heavy work is important for an understanding and prevention of tenosynovitis. Electromyography is one index of muscle activity. Measurements by surface electromyography (sEMG) are noninvasive and simple to apply to obtain signals of muscle action potentials. The sEMG potentials of muscles near the electrode are superimposed. To identify the muscle activities from sEMG measurements, it is necessary first to analyze the characteristics of sEMG conduction in the forearm. This paper develops a conduction model of the forearm that incorporates the muscles and the radius and ulna bones. sEMG distributions were analyzed using the finite element method. The Root mean square (RMS) values of sEMG values and the power exponent of the attenuation (PEA) in relation to the length between the electrode and the source of muscle action potential were estimated in this work. Further, the positions of muscle action potential were reverse-estimated using the RMS values and the PEA. As a result, the PEA was found to increase monotonically with increases in the inter-electrode distance (IED) of the surface electrode pair. The errors in the estimated positions of muscle action potential increased with decreases in the distance between the source of muscle action potential and the radius and ulna bones.

Keywords

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Vigouroux L et al. (2007) Using EMG Data to Constrain Optimization Procedure Improves Finger Tendon Tension Estimations During Static Fingertip Force Production. J Biomech, Vol. 40, 2846–2856 DOI 10.1016/j.jbiomech.2007.03.010.

    Article  Google Scholar 

  2. Burger H C and Van Dongen, R (1961) Specific Electric Resistance of Body Tissues. Phys Med Biol 5:431–447.

    Article  Google Scholar 

  3. Saha S and Williams P A (1992) Electric and Dielectric Properties of Wet Human Cortical Bone as a Function of Frequency. IEEE Trans Biomed Eng 39:1298–1304

    Article  Google Scholar 

  4. Rosenfalk P (1969) Intra-and Extracellular Potential Fields of Active Nerve and Muscle Fibres. Acta Phisiol Scand Suppl 321

    Google Scholar 

  5. Stoykov N S et al (2002) Frequency-and Time-Domain FEM Models of EMG: Capacitive Effects and Aspects of Dispersion. IEEE Trans Biomed Eng 49:763–772.

    Article  Google Scholar 

  6. Roeleveld K et al. (1997) Motor Unit Potential Contribution to Surface Electromyography. Acta Phisiol Scand, 160:175–183

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 International Federation of Medical and Biological Engineering

About this paper

Cite this paper

Nakajima, Y., Yoshinari, S., Tadano, S. (2009). Surface Conduction Analysis of EMG Signal from Forearm Muscles. In: Lim, C.T., Goh, J.C.H. (eds) 13th International Conference on Biomedical Engineering. IFMBE Proceedings, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92841-6_472

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-92841-6_472

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92840-9

  • Online ISBN: 978-3-540-92841-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics