Fractal Analysis of Elctromyographic (EMG) and Mechanomyographic (MMG) Signals

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  • 筋電図および筋音図のフラクタル解析
  • キンデンズ オヨビ キンオンズ ノ フラクタル カイセキ

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Abstract

Electromyographic and mechanomyographic signal (EMG and MMG) reflect the electrical and mechanical activities of contracting muscle fibers, respectively. The complexity of these signals vary with increasing force exerted. The fractal analysis methods may be used to assess the complexity of the signals. The present investigation was undertaken to determine whether the surface EMG and MMG signal have the fractal characteristics and to estimate their fractal dimension. The EMG and MMG signal were recorded from the rectus femoris muscle of 12 normal subjects during submaximal isometric contractions at the intensity of 10% to 80% of maximal voluntary contraction (MVC). The fractal dimension of these signals was calculated by the resealed range analysis (R/S analysis) and the Higuchi's algorithm. The results demonstrated that both the EMG and MMG were a fractal signal. The R/S analysis seems not to estimate correctly the fractal dimension of both EMG and MMG signal. On the other hand, the fractal dimension calculated by Higuchi's algorithm changed with increasing force and ranged from 1.5 to 1.7 in the EMG and from 1.6 to 1.8 in the MMG. The relationship between the fractal dimension and %MVC in the MMG is considered to be more consistent with the physiological findings on the motor unit activation strategy compared with that in the EMG.

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