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題 名 | An EMG-Driven Model for the Prediction of Dynamic Muscle Forces during Knee Isokinetic Exercises=一肌電圖驅動模式用於預測膝部等速運動時之動態肌肉力量 |
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作 者 | 蔚順華; | 書刊名 | 中華民國物理治療學會雜誌 |
卷 期 | 24:4 1999.07[民88.07] |
頁 次 | 頁12-28 |
分類號 | 418.996 |
關鍵詞 | 肌電圖; 肌力; 等速運動; Emg; Muscle force; |
語 文 | 英文(English) |
中文摘要 | 量化肌肉動態力量一直是挑戰從事研究生物力學的學者之重要課題。傳統上肌肉 力量的預測方法多是以逆向解決方法(Inverse solution method)。 逆向解決方法是首先去測量肌肉所表現出來的外在機械力(mechanical force),然後再利用 該值去分析各主動肌及拮抗肌在該條件下所有可能分別產生出的肌力值。 由於這樣的方法涉及許多複雜的數學運算,而且在計算過程中得有許多假設才能順利運算成 功。所以在臨床上及學理上並不十分實用。利用體表肌電圖來預測動態的肌肉收縮力量是近 十年所漸漸被注意到的方式,因為它可以直接透過所量測到的肌電訊號,來代表經肌肉的活 性(neuromuscular activation),然後再加以配合肌肉力學的特性,便可估計出肌肉動態的 收縮力量。等速肌力訓練是目前物理治療臨床上所常用的方法,但其所測量出的肌力數值是 為肌肉所產生的機械力淨結果(例如:關節力矩)。而有關人體內部的肌肉及關節力量卻無 法得之,因此本文的目的為提出一肌電圖驅動模式,用以估計出肌肉在做膝部等速運動時所 產生的動態肌肉力量。 本模式之建立過程為先經過在等速下肌力-長度-速度-神經肌肉活性的校正(muscle forcelength-velocity-activation calibration)後,再經由受試者執行等速膝伸直及膝屈 曲運動的情況下所取得之體表肌電訊號來預估其間的動態肌力值。 本文模式的效度(validity)考驗是以預測出之動態肌力值來計算關節轉矩值(預測轉矩)與 真實量測得之關節轉矩值(真實轉矩)做兩者相互比對。 其結果顯示兩者曲線圖呈現高相關(皮爾遜相關值為 r=0.866)。且兩者總共的最大均方根 誤差值小於36.53 N.m。因此本文所提供之肌電圖驅動預估動態肌力為一可信度高,且易使 用於等速運動的動態肌力預測。 |
英文摘要 | Quantifing muscle dynamic contraction forces has been a challenge to the biomechanist. Traditionally, muscle force-time profile are predicted using inverse solution methods such as mathematical reduction and optimization methods. Unfortunately, many authors have onted that the solutions are not only highly involved and complicated mathematically but also frequently inconsistent. The purpose of this study was to present as EMG-driven muscle model for determining dynamic forces especially using in knee isokinetic exercises. In this model, neural activation is estimated by electromyography (EMG). EMG and musculotendon kinematics are inputs to the model. Output of the model is the individual dynamic muscle forces. The model incorporates muscle activation, length-tension properties and force-velocity properties. Surface root-mean-square EMG signals were used to quantify the relative level of muscle activation. Muscle length and contraction velocity were calculated using a musculoskeletal model, Muscle force-length-velocity-activation relationships were established from isokinetic calibrations. The model was validated by comparison the joint moments calculated from predicated muscle forces and moments calculated using a linked segment, inverse dynamic model. A high correlation (r=0.866) was found between moment curve from predicted and reference joint moments. Theis suggests that the model provides excellent potential capabilities for predicting dynamic muscle forces using a forward solution method. |
本系統中英文摘要資訊取自各篇刊載內容。