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The influence of electromyographic recording methods and the innervation zone on the mean power frequency-torque relationships

  • Trent J. Herda
  • , Jorge M. Zuniga
  • , Eric D. Ryan
  • , Clayton L. Camic
  • , Haley C. Bergstrom
  • , Doug B. Smith
  • , Joseph P. Weir
  • , Joel T. Cramer
  • , Terry J. Housh

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This study examined the effects of electromyographic (EMG) recording methods and innervation zone (IZ) on the mean power frequency (MPF)-torque relationships. Nine subjects performed isometric ramp muscle actions of the leg extensors from 5% to 100% of maximal voluntary contraction with an eight channel linear electrode array over the IZ of the vastus lateralis. The slopes were calculated from the log-transformed monopolar and bipolar EMG MPF-torque relationships for each channel and subject and 95% confidence intervals (CI) were constructed around the slopes for each relationship and the composite of the slopes. Twenty-two to 55% of the subjects exhibited 95% CIs that did not include a slope of zero for the monopolar EMG MPF-torque relationships while 25-75% of the subjects exhibited 95% CIs that did not include a slope of zero for the bipolar EMG MPF-torque relationships. The composite of the slopes from the EMG MPF-torque relationships were not significantly different from zero for any method or channel, however, the method and IZ location slightly influenced the number of significant slopes on a subject-by-subject basis. The log-transform model indicated that EMG MPF-torque patterns were nonlinear regardless of recording method or distance from the IZ.

Original languageEnglish
Pages (from-to)423-430
Number of pages8
JournalJournal of Electromyography and Kinesiology
Volume25
Issue number3
DOIs
StatePublished - Jun 1 2015

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Ltd.

Keywords

  • Bipolar
  • EMG
  • Linear array
  • MPF
  • Monopolar

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Biophysics
  • Clinical Neurology

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