透過您的圖書館登入
IP:18.220.11.34
  • 學位論文

靜態荷重下肩頸部上斜方肌等長收縮疲勞時平均功率頻率和均方根值之變化趨勢

Measuring muscle fatigue during static loading of upper trapezius analyze isometric contractions with MPF and RMS

指導教授 : 胡威志
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


肩頸部肌肉痠痛通常都是從肌肉疲勞開始,特別是在以螢幕為介面的電子產品蓬勃興起之後,長時間地使用,更加速此一趨勢,這已是一種普遍的文明病。因此,本論文擷取疲勞時的肌電特性,發展生物回饋機制,在疲勞產生之初,即適時發出提醒甚或其他相應措施,以避免進一步惡化的發生。 本研究以平均功率頻率(Mean Power Frequency,MPF)與均方根(Root Mean Power,RMS)在上斜方肌疲勞時之特性,探討將肌電訊號用於生物回饋的可行性。 6女12男共18個受測者,手持5公斤重啞鈴10分鐘,以擷取EMG訊號並計算MPF及RMS。有6女8男占總數78%的受測者MPF呈現下降走勢,5女12男占總數95%的受測者RMS表現出上升的趨勢,僅有1女4男佔總數28%的受測者表現出RMS與MPF有一致(上升或下降)的趨勢。 有72%的受測者MPF呈現下降時,RMS還持續在增加之中,顯然RMS存在著與MPF未必一致的走勢,換言之,無法在RMS與肌肉疲勞之間建立足夠的關聯性。MPF在本研究裡符合過往所發表的研究報告,顯現出在肌肉疲勞的趨勢走向,不會因為是否擔負主要功能而改變, 就本研究的環境而言,以MPF為本的趨勢指標優於RMS,可作為肌肉疲勞的生物回饋指標。

並列摘要


Shoulder and neck ache usually start from muscular fatigue, especially when screen-interface electronic devices are being widely used. The long period of operating devices without relax has accelerated this phenomenon that makes it a common civil disease. Therefore, this thesis accessing the characteristics of muscular fatigue using electromyography to develop a biofeedback mechanism for warning or timely intervention to avoid a worsen processes of symptom. This thesis studied the characteristic of fatigue focus on the upper trapezius using the Mean Power Frequency (MPF) and the Root Mean Power (RMS). It discusses the possibility of utilizing electromyography to be a biofeedback signals. EMG signals of 18 healthy subjects, 12 males and 6 females, were acquired and the MPF and RMS were calculated. Each held a 5 kilograms dumbbell for 10 minutes. 8 males and 6 females, 78% of all the subjects, had decrease trend of MPF; 12 males and 5 females, 95% of all the subjects, had increase trend of RMS; 1 female and 4 males, 28% of all the subjects, had the same trend both in MPF and RMS. In this study 72% of all the subjects, their MPF had decrease trend but RMS had increase trend. Obviously the trend of the RMS is not compliance with the MPF, which means we cannot find enough support to show the relativity between muscular fatigue and RMS. However, the trend of MPF has matched the studies and reports that ever published, the MPF has a decrease trend when muscle is in fatigue, it is unrelated to the muscle whether it takes up the main function or not. In this study environment, MPF based trend indicator is superior to RMS, MPF can be used as biofeedback for muscular fatigue indicator.

並列關鍵字

MPF RMS biofeedback muscular fatigue

參考文獻


[24]黃勝裕,“肌肉周邊疲勞之判定”,中華體育第十四卷第一期(2000) 109-115
[3] Lind AR, Petrofsky JS. “Amplitude of the surface electromyogram during fatiguing isometric contractions.”, Muscle Nerve. 1979; Jul-Aug;2(4):257-64.
[4] Masuda T, Miyano H, Sadoyama T , “Relationships between muscle fiber conduction velocity and frequency parameters of surface EMG during sustained contraction. ”, Eur J Appl Physiol 1983;51:247-56
[5] Eberstein A. Beattie B., “Simultaneous measurement of muscle conduction velocity and EMG power spectrum changes during fatigue ”, Muscle Nerve 1985; 8: 768-73
[6] Paiss O, Inbar GF, “Autoregressive Modeling of Surface MEG and Its spectrum with Application of Fatigue.”, IEEE transactions on biomedical engineering 1987; 34: 761-70

延伸閱讀