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European Journal of Applied Physiology

, Volume 87, Issue 6, pp 542–549 | Cite as

Repeatability of surface EMG variables in the sternocleidomastoid and anterior scalene muscles

  • Deborah Falla
  • Paul Dall'Alba
  • Alberto Rainoldi
  • Roberto Merletti
  • Gwendolen Jull
Original Article

Abstract.

In this study we examined the repeatability and reliability of the surface electromyographic (sEMG) signal mean frequency (MNF), average rectified value (ARV) and conduction velocity (CV) measured for the sternocleidomastoid (SCM) and the anterior scalene (AS) muscles in nine healthy volunteers during 15-s isometric cervical flexion contractions at 50% of the maximal voluntary contraction level over 3 non-consecutive days. Repeatability and reliability estimates were obtained for the initial values and rates of change of each sEMG variable by using both the Intraclass Correlation Coefficient (ICC) and the normalised standard error of the mean (nSEM). Results from SCM indicated good levels of repeatability for the initial value and slope of ARV (ICC>65%). For the AS, high levels of repeatability were identified for the initial value of MNF (ICC>70%) and the slope of ARV (ICC>75%). Values of nSEM in the range 2.8–7.2% were obtained for the initial values of MNF and CV for both SCM and AS, indicating clinically acceptable measurement precision. The low value obtained for the nSEM of the initial value of MNF for the AS, in combination with the high ICC, indicates that of all of the variables examined, this variable could offer the best normative index to distinguish between subjects with and without neck pain, and represents the sEMG variable of choice for future evaluation purposes.

Surface electromyography Neck muscles Fatigue Repeatability 

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Copyright information

© Springer-Verlag 2002

Authors and Affiliations

  • Deborah Falla
    • 1
  • Paul Dall'Alba
    • 1
  • Alberto Rainoldi
    • 2
  • Roberto Merletti
    • 2
  • Gwendolen Jull
    • 1
  1. 1.Department of Physiotherapy, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia
  2. 2.Centro di Bioingegneria, Dipartimento di Elettronica, Politecnico di Torino, Italy

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