超声图像熵特性的肌肉疲劳进程评估

doi:doi: 103969/j.issn.0258-8021.2015.01.005

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Abstract Muscle fatigue is a phenomenon that the maximum voluntary contraction force of muscle is reduced due to muscular movement. If the fatigue is not treated properly it will harm the muscle. In this study we used a designed ultrasonic image entropy testing system to detect the muscle tissue, and used the image entropy to characterize the gray scale distribution characteristic of muscle ultrasonic image texture, trying to evaluate characteristics of the muscle fatigue process. We collected the ultrasound images of biceps brachii of ten subjects with different loads (20%MVC、30%MVC、40%MVC、50%MVC), and linearly fitted their estimated ultrasound image entropy. A statistical analyze method of ANOVA of the random group was applied to study the down slope of muscle fatigue image entropy. It is shown that the slope between different subjects over time are different significantly(P=0.000 0), the slope under different loads of same subjects are also different (P=0.0400). However, the difference of the linear fitted slope of ultrasonic image entropy under different loads to the same subject is far less than that of the same loads to different subjects, which illustrates that the personal muscles characteristics play a major role. This study provides a quantitative evaluation method to the muscle fatigue process.

Key words： muscle fatigue image entropy maximum voluntary contraction slope

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	Cao Libo Wei Wei Zhang Guanjun^*

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Cao Libo Wei Wei Zhang Guanjun^*. Evaluation of Muscle Fatigue Process Based on Ultrasonic Image Entropy Characteristics[J]. journal1, 2015, 34(1): 30-36.

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http://cjbme.csbme.org/EN/doi: 103969/j.issn.0258-8021.2015.01.005 OR http://cjbme.csbme.org/EN/Y2015/V34/I1/30

［1］Edwards RH. Human muscle function and fatigue［J］. Ciba Found Symp， 1981,82:1-18.
［2］Maughan RJ, Watson JS, Weir J. Strength and crosssectional area of human skeletal muscle［J］. Journal of PhysiologyLondon, 1983,1(338):37-49.
［3］Nygren AT, Greitz D, Kaijser L. Changes in crosssectional area in human exercising and non exercising skeletal muscles［J］. European Journal of Applied Physiology, 2000,3(81):210-213.
［4］Prutchi D. A highresolution large array(HRLA) surface EMG system ［J］. Medical Engineering & Physics, 1995,17(6):442-454.
［5］Meyer DC, Jacob HA, Nyffeler RW. In vivo tendon force measurement of 2week duration in sheep［J］. Journal of Biomedical Materials Research, 2004,1(37):135-40.
［6］张宇，金丹，王立超，等. 骨骼肌收缩对骨毛细血管通透性影响的实验研究［J］. 南方医科大学学报,2010, 30(2):295-297.
［7］Debold EP. Recent insights into muscle fatigue at the crossbridge level［J］. Front Physiol, 2012,1(3):151-164.
［8］Westerblad H, Allen DG. Changes of myoplasmic calcium concentration during fatigue in single mouse muscle fibers［J］. The Journal of General Physiology, 1991,98(3):615-635.
［9］Stackhouse SK, Reisman DS, BinderMacleod SA. Challenging the role of pH in skeletal muscle fatigue［J］. Phys Ther,2001,12(81):1897-1903.
［10］Laube W, Martin J, Tank J, et al. Heart rate variability—an indicator of the muscle fatigue after physical exercise［J］. Perfusion,1996,5(9):225-229.
［11］Cooper RG, Edwards RHT, Gibson H, et al. Humanmuscle fatiguefrequencydependence of excitation and force generation［J］. Journal of PhysiologyLondon, 1988,397:585-599.
［12］Hodges PW, Pengel LH, Herbert RD, et al. Measurement of muscle contraction with ultrasound imaging［J］. Muscle and Nerve, 2003,27(6):682-692.
［13］Sushma R, Ravi M. Masseter muscle thickness in different skeletal morphology: An ultrasonographic study［J］. Indian Journal of Dental Research, 2010,3(21):402-406.
［14］Christopher DL, Yanna S, Amanda CP, et al. Muscle ultrasound quantifies the rate of reduction of muscle thickness in amyotrophic lateral［J］. Muscle and Nerve, 20105 (42):814-819.
［15］Shi Jun, Zheng Yongping, Chen Xi, et al. Assessment of muscle fatigue using sonomyography: Muscle thickness change detected from ultrasound images［J］. Medical Engineering Physics, 2007,29(4):472-479.
［16］Aggeloussis N, Giannakou E, Albracht K, et al. Reproducibility of fascicle length and pennation angle of gastrocnemius medialis in human gait in vivo［J］. Gait & Posture, 2010,1(31):73-77.
［17］Narici MV, Binzoni T, Hiltbrand E, et al. In vivo human gastrocnemius architecture with changing joint angle at rest and during graded isometric contraction［J］. Journal of Physiology, 1996, 496:287-297.
［18］Fukunaga T, Ichinose Y, Ito M, et al. Determination of fascicle length and pennation in a contracting human muscle in vivo［J］. Journal of Applied Physiology, 1997,82:354-358.
［19］Ito M, Kawakami Y, Ichinose Y. Nonisometric behavior of fascicles during isometric contractions of a human muscle［J］. Journal of Applied Physiology, 1998,4(85):1230-1235.［20］Maganaris CN, Baltzopoulos V, Sargeant AJ. Repeated contractions alter the geometry of human skeletal muscle［J］. Journal of Applied Physiology, 2002,6(93):2089-2094.
［21］Reeves ND, Maganaris CN, Narici MV. Ultrasonographic assessment of human skeletal muscle size［J］. European Journal of Applied Physiology, 2004,91:116-118.
［22］许凯亮，他得安，王威琪. 长骨中超声导波信号的时频特征分析［J］. 中国生物医学工程学报，2010,
29(1):66-70.
［23］王杰，倪朝民，陈焱焱,等. 热固耦合式超声骨强度仪的可重复性及相关性研究［J］. 中国康复医学杂志，2012,2(27):125-129.
［24］Valentina B, Matt V. Clausius entropy for arbitrary bifurcate null surfaces［J］. Higu Energy PhysicsTheory, 2013,31(3):1-20. 
［25］黄勇，张文建, 郁凡. 基于图像熵的卫星云图分类方法［J］. 大气科学学报,2012,5: (35)633-639.
［26］张利名，范瑞春，赵喜清. 利用图像熵识别纸币扎把［J］. 河北北方学院学报(自然科学版),2012 ,5(28):28-30.
［27］Horng J, Shuo LH, Yukon C. Entropy improvement for fractal image Coder ［J］. The Intenational Arab of Information Technology,2012,5(9):403-410.
［28］Studholme C, Hill DLG, Hawkes DJ. An overlap invariant entropy measure of 3D medical image alignment ［J］. Pattern Recogntion.1999,32:71-86
［29］Fitts RH. The crossbridge cycle and skeletal muscle fatigue［J］. Journal of Applied Physiology, 2008,2(104):551-558.
［30］周永洲，闵一建. 肌音的匹配追踪时—频分析与肌肉疲劳状态研究［J］. 长春教育学院学报,2013,6(29):83-85.
［31］Boyas S, Guével A. Neuromuscular fatigue in healthy muscle: Underlying factors and adaptation mechanisms［J］. Annals of Physical and Rehabilitation Medicine, 2011,2(54):88-108.
［32］Zhao Heng, Zhang Liqun. Automatic Tracking of muscle fascicles in ultrasound images using localized radon transform［J］. IEEE Transactions on Biomedical Engineering, 2011,7(58): 2094-2101. 
［33］Kardel T. Niels Stensen’s geometrical theory of muscle contraction: a reappraisal ［J］.Journal of Biomedical, 1990,10(23):953-965.