Auto-regression analysis upon EMG power spectra during dynamic exercise

Akira Nagata*, Masami Miyazaki


研究成果: Conference article査読


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.

ジャーナルJournal of Biomechanics
出版ステータスPublished - 1989 1月 1
イベントAbstracts of the XII Congress, International Society of Biomechanics - Los Angeles, CA, USA
継続期間: 1989 6月 261989 6月 30

ASJC Scopus subject areas

  • 生物理学
  • 整形外科およびスポーツ医学
  • 生体医工学
  • リハビリテーション


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