Auto-regression analysis upon EMG power spectra during dynamic exercise

Akira Nagata*, Masami Miyazaki

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


Surface electromyograms were recorded as interferance signals, which contained many sorts of motor units during dynamic exercise. Those complex signals have been transformed to a simple power spectra, that have been used as the index of muscle fatigue or recruitment of the motor unit. This study applies the Auto-Regression Model (ARM) for those EMGs Power Spectra, and proposes a new classification of motor units. As the dynamic exercise, the cranking movement of the upper limb or the pedalling movement of the lower limb were used. At the result of analysis, EMGs power spectra were divided into three elements of the low (5-35 Hz), middle(36-70 Hz), and high(over 76 Hz) frequency bands with computer caliculation of ARM.

Original languageEnglish
Number of pages1
JournalJournal of Biomechanics
Issue number10
Publication statusPublished - 1989 Jan 1
EventAbstracts of the XII Congress, International Society of Biomechanics - Los Angeles, CA, USA
Duration: 1989 Jun 261989 Jun 30

ASJC Scopus subject areas

  • Biophysics
  • Orthopedics and Sports Medicine
  • Biomedical Engineering
  • Rehabilitation


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