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An Effective Solution for Capturing the Single Twitch of Muscle: Application to Monitor Muscle Relaxation

  • Systems-Level Quality Improvement
  • Published:
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Abstract

In this study, a fast algorithm was developed to capture of train of four and to filter extra contraction and noises. A low pass filter created to filter extra contraction and high frequency noises. Then, a TCA algorithm designed to capturing of the single twitch of muscle. The algorithm updated to remove embedded extra contraction and to derive boundary values in this location from cubic spline interpolation. Efficiency of TCA and effect of extra contraction tested in time and frequency domain.

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Acknowledgments

The research has been supported by the Research Project Department of Akdeniz University, Antalya, Turkey. This study is a part of studies held by Akdeniz University, Industrial and Medical Applications Microwave Research Center (IMAMWRC), signal and image processing laboratory and University Paris Descartes, CESEM.

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Authors and Affiliations

  1. CNRS UMR 8194, Université Paris Descartes, Paris, France

    Omer H. Colak, Emmanuelle Girard & Eric Krejci

  2. Faculty of English, Department of Electrical and Electronics Engineering, Akdeniz University, Antalya, Turkey

    Omer H. Colak

  3. CNRS UMR5239, Equipe Différenciation Neuromusculaire, Ecole Normale Supérieure, 69364, Lyon cedex 07, France

    Emmanuelle Girard

Authors
  1. Omer H. Colak
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  2. Emmanuelle Girard
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  3. Eric Krejci
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Correspondence to Omer H. Colak.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Colak, O.H., Girard, E. & Krejci, E. An Effective Solution for Capturing the Single Twitch of Muscle: Application to Monitor Muscle Relaxation. J Med Syst 38, 114 (2014). https://doi.org/10.1007/s10916-014-0114-1

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  • DOI: https://doi.org/10.1007/s10916-014-0114-1

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