Journal of Electromyography and Kinesiology
Volume 20, Issue 1 , Pages e1-e9, February 2010

Reliability and precision of EMG in leg, torso, and arm muscles during running

  • James M. Smoliga

      Affiliations

    • Department of Health and Physical Education, Marywood University, Scranton, PA, USA
    • Corresponding Author InformationCorresponding author. Address: Department of Health and Physical Education, Marywood University, 2300 Adams Avenue, Scranton, PA 18509, USA. Tel.: +1 570 348 6211x2384; fax: +1 570 961 4730.
  • ,
  • Joseph B. Myers

      Affiliations

    • Department of Exercise and Sports Science, University of North Carolina, Chapel Hill, NC, USA
  • ,
  • Mark S. Redfern

      Affiliations

    • Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
  • ,
  • Scott M. Lephart

      Affiliations

    • Department of Sports Medicine and Nutrition, University of Pittsburgh, Pittsburgh, PA, USA

published online 22 October 2009.

Abstract 

Changes in electromyographic (EMG) parameters are used to evaluate timing, amplitude, and fatigue of muscle actions during movement. Little published data describe the reliability and precision of multiple EMG parameters, how these parameters compare to one another, and how these parameters vary between muscles. The purpose of this study was to determine the reliability and precision of four EMG parameters recorded from the legs, torso, and arm muscles during running. Fifteen well-trained male runners performed moderate-intensity treadmill running while EMG data were collected from thirteen muscles. Integrated EMG (iEMG), root mean square EMG (RMS), maximum M-wave, and median power frequency (MPF) were calculated for 25 consecutive strides. Intra-class correlation coefficients (ICC) and standard error of measurement (SEM) for each parameter were calculated for each muscle. Seven muscles displayed good reliability (ICC>0.80) for all parameters studied. MPF was the most reliable variable, with 12 muscles having ICC>0.80 and <6% normalized SEM. Reliability and precision differed between muscles of similar function and anatomic region. These data emphasize the need for researchers and clinicians to have reliability and precision measures for all parameters of each muscle, and demonstrates that generalizations must be used cautiously when interpreting EMG data collected during running.

Keywords: iEMG, RMS, Median power frequency, ICC, SEM

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 This research was conducted at the Neuromuscular Research Laboratory, University of Pittsburgh.

PII: S1050-6411(09)00127-8

doi:10.1016/j.jelekin.2009.09.002

Journal of Electromyography and Kinesiology
Volume 20, Issue 1 , Pages e1-e9, February 2010