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Estimation of a Muscle Force from a Mechanomyographic Signal During a Contraction of a Single Motor Unit

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Computer Recognition Systems 2

Part of the book series: Advances in Soft Computing ((AINSC,volume 45))

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Abstract

In this paper an estimation method of a muscle force generated during a single Motor Unit (MU) contraction from a mechanomyographic signal (MMG) is described. The MMG signal has been recorded with a microphone immersed in a paraffin oil, placed above the medial gastrocnemius muscle of a rat. The estimation process evaluates the muscle surface displacement and thus indirectly the force. In estimation procedure the oil medium model have been used. This model describes the propagation of the acoustic wave generated by the muscle surface displacement and recorded with the microphone. The estimation procedure uses the model as a reference model enabling estimation of the muscle surface acceleration being the model input, from the MMG signal which is the model output. The method have been applied to the signals recorded in vivo. The results obtained with the method reveal a good correspondence between the estimated and the directly measured force signals.

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References

  1. E. Bichler and J. Celichowski. Changes in the properties of mechanomyographic signals and in the tension during the fatigue test of rat medial gastrocnemius muscle motor units. J Electromyogr Kinesiol, 11(6):387–394, Dec 2001.

    Google Scholar 

  2. Anna Jasklska, Pascal Madeleine, Artur Jasklski, Katarzyna Kisiel-Sajewicz, and Lars Arendt-Nielsen. A comparison between mechanomyographic condenser microphone and accelerometer measurements during submaximal isometric, concentric and eccentric contractions. J Electromyogr Kinesiol, May 2006.

    Google Scholar 

  3. P. Kaczmarek, J. Celichowski, and A. Kasiski. Experimentally verified model of mechanomyograms recorded during single motor unit contractions. J Electromyogr Kinesiol, 15(6):617–630, 2005.

    Article  Google Scholar 

  4. Lennart Ljung. System Identification: Theory for the User (2nd Edition). Prentice Hall PTR, 1998.

    Google Scholar 

  5. C. Orizio, R. V. Baratta, B. H. Zhou, M. Solomonow, and A. Veicsteinas. Force and surface mechanomyogram relationship in cat gastrocnemius. J Electromyogr Kinesiol, 9(2):131–140, Apr 1999.

    Google Scholar 

  6. Claudio Orizio, Massimiliano Gobbo, Arsenio Veicsteinas, Richard V Baratta, Bing He Zhou, and Moshe Solomonow. Transients of the force and surface mechanomyogram during cat gastrocnemius tetanic stimulation. Eur J Appl Physiol, 88(6):601–606, Feb 2003.

    Google Scholar 

  7. Jean-Jacques Slotine and Weiping Li. Applied Nonlinear Control. Prentice Hall; United States Ed edition, 1990.

    Google Scholar 

  8. M. Watakabe, K. Mita, K. Akataki, and K. Ito. Reliability of the mechanomyogram detected with an accelerometer during voluntary contractions. Med Biol Eng Comput, 41(2):198–202, Mar 2003.

    Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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Kaczmarek, P., Kasinski, A. (2007). Estimation of a Muscle Force from a Mechanomyographic Signal During a Contraction of a Single Motor Unit. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_73

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  • DOI: https://doi.org/10.1007/978-3-540-75175-5_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75174-8

  • Online ISBN: 978-3-540-75175-5

  • eBook Packages: EngineeringEngineering (R0)

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