表面筋電図のカオス解析手法による筋疲労の評価  [in Japanese] The estimation of muscle fatigue using chaos analysis  [in Japanese]

筋疲労による表面筋電図の変化を,カオス解析手法を用いて解析した.表面筋電図を用いた筋疲労の検出は簡便で無侵襲な方法で,その応用分野には様々なものが考えられる.表面筋電図の解析法としては,周波数解析などの線形解析手法が一般的だが,本論では表面筋電図の非線形性に着目し,非線形解析手法であるカオス解析手法を用いた.表面筋電図に対してカオス解析手法を用いる事で,線形解析手法のみを用いた場合より,広い範囲の疲労が検出できる可能性が考えられる.健常な男女を被験者に筋疲労の実験を行い,上記の両手法を適用しその結果の考察を行った.結果,FFTのみを用いた場合より,それに合わせてカオス解析手法を用いた解析を行った方が,疲労の検出件数が高くなる事がわかった.

The purpose of this study is to measure muscle fatigue from EMG through non-invasive way. The measurements of muscle fatigue have been required in various fields. The linear analysis method such as Fast Fourier Transformation (FFT) has been used as th[e common way to analyze EMG. However, there would be some types of muscle fatigue which cannot be detected by the linear analysis but could be detected by nonlinear analysis because of nonlinearity of biological signals. In this study, we analyzed EMG recorded from 17 subjects to evaluate the ability of nonlinear analysis. As a result, more kinds of muscle fatigue can be detected through both linear analysis (ex. PFT) and nonlinear analysis (ex, chaos analysis) than linear analysis only.