本文選題：肌肉疲勞 + 超聲成像��； 參考：《陜西師范大學(xué)》2014年碩士論文

【摘要】：肌肉疲勞是指運(yùn)動過程中肌肉的最大隨意收縮力減小的一種現(xiàn)象,在我們?nèi)粘Ｉ钪薪?jīng)常發(fā)生,特別是在體育運(yùn)動中,運(yùn)動員如果對肌肉疲勞處理不當(dāng),會影響后續(xù)的訓(xùn)練。肌肉組織也有運(yùn)動極限,如果過度疲勞,會造成組織損傷。而體育競技水平在不斷提高,難免給體育運(yùn)動者和教練們帶來一定的壓力,準(zhǔn)確地評估肌肉疲勞,會使運(yùn)動員在訓(xùn)練過程中避免一些肌肉或者肌腱損傷事件的發(fā)生,取得更好的成績。 肌肉的超聲圖像可以實(shí)時檢測和監(jiān)測肌肉運(yùn)動的變化過程。為了更精細(xì)地評估肌肉疲勞,我們利用超聲圖像的熵特征,表征肌肉超聲圖像紋理灰度分布的空間特征量,通過研究肌肉組織疲勞過程中其超聲圖像熵特征的演變規(guī)律,獲得肌肉疲勞特性。使得這一研究可以定量的在更高一級的物理感念層面上進(jìn)行。 本文主要開展了以下工作： (1)基于超聲圖像熵能夠反映圖像中像素位置的灰度分布信息和鄰域內(nèi)灰度分布綜合特征的理論基礎(chǔ),再結(jié)合肌肉超聲圖像的紋理結(jié)構(gòu),從理論上分析肌肉組織的疲勞特性與超聲圖像熵的相關(guān)性。 (2)針對理論分析結(jié)果,設(shè)計(jì)一套肌肉組織的超聲圖像熵檢測系統(tǒng),可獲得訓(xùn)練中肱二頭肌的肌肉超聲圖像熵的變化特征。 (3)通過設(shè)計(jì)的超聲圖像熵檢測系統(tǒng),研究肱二頭肌在疲勞過程中超聲圖像熵的特征,以及肌肉疲勞所需時間。通過研究10名受試者肱二頭肌在不同力矩20%MVC、30%MVC、40%MVC、50%MVC)作用下肌肉疲勞特性,驗(yàn)證肌肉疲勞與超聲圖像熵的相關(guān)性。 理論及實(shí)驗(yàn)結(jié)果表明,肌肉組織的疲勞特性與超聲圖像熵具有一定的相關(guān)性。一方面是同一受試者在不同力矩作用下肌肉疲勞特征；另一方面是不同受試者在同一力矩作用下肌肉疲勞特征。肌肉強(qiáng)度與肌肉橫截面積是正相關(guān)關(guān)系,肌纖維橫截面積也正相關(guān)于肌肉強(qiáng)度,肌纖維橫截面積增大則其排列整齊化,從圖像熵角度來看,就是圖像熵正相關(guān)減小。肌肉能量存在個體差異性,但是同一受試者肌肉能量消耗的速率正相關(guān)與力矩,所以給定力矩下受試者肌肉能量消耗速率就一定,疲勞所需時間與力矩相關(guān)。
[Abstract]:Muscle fatigue is a phenomenon in which the maximum and arbitrary contraction force of muscle decreases in the course of exercise. It often occurs in our daily life, especially in sports, if athletes deal with muscle fatigue improperly, it will affect the subsequent training. Muscle tissue also has exercise limits, if excessive fatigue, will cause tissue damage. However, since the level of sports competition is constantly improving, it will inevitably bring certain pressure to sportsmen and coaches, and accurately assess muscle fatigue, which will enable athletes to avoid the occurrence of some muscle or tendon injuries in the course of training. Get better results. Ultrasonic images of muscles can detect and monitor the changes of muscle motion in real time. In order to evaluate muscle fatigue more accurately, we use the entropy feature of ultrasonic image to characterize the spatial characteristic quantity of texture gray distribution in muscle ultrasonic image, and study the evolution rule of entropy feature of ultrasonic image in muscle tissue fatigue process. The fatigue characteristics of muscle were obtained. This allows the study to be quantitatively carried out at a higher level of physical sensibility. The main work of this paper is as follows: (1) based on the theoretical basis that the entropy of ultrasonic image can reflect the gray distribution information of pixel position in the image and the comprehensive feature of gray distribution in the neighborhood, combined with the texture structure of the muscle ultrasonic image, The correlation between the fatigue characteristics of muscle tissue and the ultrasonic image entropy is analyzed theoretically. (2) aiming at the theoretical analysis results, a set of ultrasonic image entropy detection system for muscle tissue is designed. The characteristics of ultrasonic image entropy of biceps brachii muscle during training can be obtained. (3) the characteristics of ultrasonic image entropy of biceps brachii muscle during fatigue and the time required for muscle fatigue are studied by the designed ultrasonic image entropy detection system. The muscle fatigue characteristics of biceps brachii muscle under the action of MVC40 and MVC40 MVC were studied in 10 subjects, and the correlation between muscle fatigue and ultrasonic image entropy was verified by studying the fatigue characteristics of biceps brachii muscle under the action of different torque 20 and 20 MVC30 and MVC40 MVC40 MVC. The theoretical and experimental results show that there is a certain correlation between the fatigue characteristics of muscle tissue and the ultrasonic image entropy. On the one hand, muscle fatigue characteristics of the same subject under different torque, on the other hand, muscle fatigue characteristics of different subjects under the same torque. Muscle strength is positively correlated with muscle cross-sectional area, and muscle fiber cross-sectional area is also positively related to muscle strength. When muscle fiber cross-sectional area increases, it is arranged neatly. From the point of view of image entropy, the image entropy positive correlation decreases. There are individual differences in muscle energy, but the rate of muscle energy expenditure in the same subject is positively correlated with torque, so the rate of muscle energy expenditure is constant under given torque, and the time required for fatigue is related to torque.
【學(xué)位授予單位】：陜西師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：R445.1;R685

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