Usefulness of the Continuous Wavelet Transform for Evaluating Muscle Fatigue during Dynamic Contractions* Toshio HIGASHI,** Toshiya TSURUSAKI,*** Hlsa

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1 Usefulness of the Continuous Wavelet Transform for Evaluating Muscle Fatigue during Dynamic Contractions* Toshio HIGASHI,** Toshiya TSURUSAKI,*** Hlsao TOKUSHIMA, õ Yoshio NOGUCHI õ Abstract Surface electromyography(semg)during an arm curl task was analyzed using the time-frequency technique of continuous wavelet transform(cwt)in order to evaluate muscle fatigue. Eleven healthy male volunteers performed arm curls with a 5kg dumbbell until exhaustion. SEMG was recorded from the biceps brachii muscle. Instantaneous mean frequency(imf), median frequency(imdf), and proportion of high-frequency components were calculated from coefficients of CWT, which was applied to six SEMG recordings of 1-s duration acquired at 5,10,15, 20, 25 and 30 trials of the task. The results showed that IMF and IMDF significantly shifted towards the lower frequency, and that the proportion of high-frequency components was significantly decreased. We were thus able to demonstrate a fluctuation in SEMG as a sign of muscle fatigue during dynamic contraction such as arm curls. The time-frequency analysis of SEMG using CWT is a useful method for evaluating muscle fatigue during dynamic contractions. Keywords:continuous wavelet transform, SEMG, muscle fatigue.

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4 東 登 志 夫 ほ か:連 第3図 Fig. Fig. が 低 周 波 域 ヘ シ フ トす る こ と(除 波 化)が 3 4 続wavelet変 CWTに Typical 換 に よる筋 疲労 評価 よ るscalogramの example of the 第4図 IMDF及 びIMFの Changes in IMDF (left) CWT (233) 一例 scalogram. 変化 and IMF (right). よ く知 られ て い 蓄 積 に よっ て 筋 活 動 電 位 の伝 導 速 度 が 低 下 す る こ とな どが る. こ の メ カ ニ ズ ム に 関 して は, い ま だ 不 明 な 点 が 多 い そ の 要 因 と し て 考 え ら れ て い る17). 本 研 究 に お い て も が, 主 に 筋紡 錘 の 機 能低 下 に よっ て 運 動 単 位 活 動 の 同 期 化 CWTの また は群 化 が 生 じる こ と16), 筋 収 縮 に伴 う代 謝 性 副 産 物 の の パ ワ ー ス ペ ク トル に よ るMDFやMFを -33- ス カ ロ グ ラ ム か ら算 出 したIMDFとIMFは, FFT 用 い た従 来 の 報

5 4) K. Kogi & T. Hakamada:Slowing of surface electromyogram and muscle strength in muscle fatigue, Rep. Inst. Sci. Labour, 117, 27/41 (1962) 5) T. Moritani, M. Muro & A. Nagata:Intramuscular and surface electromyogram changes during muscle fatigue, J. Appl. Physiol., 60-4, 1179/1185 (1986) 6) R. Merletti, M. Knafleitz & C. J. Dulca:Electrically evoked myoelectric signals, Crit. Rev. Biomed. Eng., 19, 293/340 (1992) 7) S. Karlsson, J. Yu. & M. Akay:Time-frequency analysis of myoelectric signals during dynamic contractions. A comparative study, IEEE Trans. Biomed. Eng., 47, 228/ ) 8) S. Karlsson, J. Yu & M. Akay:Enhancement of spectral analysis of myoelectric signals during static contractions using wavelet methods, IEEE Trans. Biomed. Eng., 46, 670/684 (1999) 9) S. Karlsson & B. Gerdle:Mean frequency and signal amplitude of the quadriceps muscles increase with increasing torque-a study using the continuous wavelet transform, J. Electromyogr. Kinesiol., 11, 131/140 (2001) 11 ) A. Yoshida, Y. Ohue & H. Ishikawa:Diagnosis of tooth surface failure by wavelet transform of dynamic characteristics, Tribol. Int., 33, 273/279 (2000) 12) M. Cowling & R. Sitte:Comparison of techniques for environmental sound recognition, Pattern Recognit. Lett., 24-15, 2895/2907 (2003) 13) J. Xue, A. Pizurica, Wi. Philips, E. Kerre, R. V. Walle & I. Lemahieu:An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images, Pattern Recognit. Lett., 24-15, 2549/2560 (2003) 14) V. Tscharner:Time-frequency and principal-component methods for the analysis of EMGs recorded during a

6 mildly fatiguing exercise on a cycle ergometer, J. Electromyogr. Kinesiol.,12, 479/492 (2002) 15) G. Olmo, F. Laterza & L. Presti:Matched wavelet approach in stretching analysis of electrically evoked surface EMG signal, Signal Process., 80, 671/684 (2000) 16) M. Sato & S. Tsuruma:A scope of the frequency analysis of the electromyogram, Ann. Rep. Phys. Educ., 1, 7/28 (1967) 17) T. Mortimer, R. Magnusson & I. Petersen:Conduction velocity in ischemic muscle:effect on EMG frequency spectrum, Am. J. Physiol., 219, 1324/1329 (1970) 19) B. Gerdle & A. R. Fugl-Meyer:Is the mean power frequency shift of the EMG a selective indicator of fatigue of the fast twitch motor units?acta Physiol. Scand., 145, 129/138 (1992)

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