超声图像熵特性的肌肉疲劳进程评估

发布时间：2018-04-24 18:08

本文选题：肌肉疲劳 + 图像熵　；参考：《中国生物医学工程学报》2015年01期

【摘要】：肌肉疲劳是一种由运动引起的肌肉最大随意收缩力减小的现象,处理不当,可能会产生严重的运动损伤。本研究利用自行设计的肌肉组织超声图像检测系统,以超声图像熵表征肌肉超声图像纹理灰度分布的空间特征,探讨肌肉组织疲劳过程中其超声图像熵的演变规律。采集10名受试者在不同负荷(20%MVC、30%MVC、40%MVC、50%MVC)时肱二头肌的超声图像,分别就每一负荷下图像熵随时间的变化进行直线拟合,并对其斜率进行随机区组方差分析。结果表明,不同的受试者之间其肌肉疲劳图像熵随时间变化的斜率差异显著(P=0.000 0);同一受试者不同负荷的超声图像熵随疲劳时间变化斜率也存在显著差异(P=0.040 0)。但是,同一受试者在不同负荷时超声图像熵随时间变化的拟合斜率的差异,远小于不同受试者在同一负荷水平拟合斜率值间的差异,提示个人的肌肉特性起到主要的作用。所进行的研究为肌肉疲劳进程的量化评估提供了依据。
[Abstract]:Muscle fatigue is a kind of phenomenon that the maximal and random contraction force of muscle is reduced caused by exercise. If not handled properly, it may cause serious sports injury. In this study, the ultrasonic image detection system designed by ourselves was used to characterize the spatial characteristics of texture gray distribution of muscle ultrasonic image with ultrasonic image entropy, and the evolution of ultrasonic image entropy in muscle tissue fatigue process was discussed. The ultrasonic images of biceps brachii were collected from 10 subjects at different load (20%) and 30 MVC (30 MVC), respectively. The entropy of each load was fitted with time, and the slope was analyzed by random area group variance analysis. The results showed that there were significant differences in the slope of muscle fatigue image entropy with time between different subjects, and there were significant differences in the slope of ultrasonic image entropy with fatigue time in the same subjects with different loads. However, the difference of fitting slope of entropy with time in the same subjects under different loads is much smaller than that between different subjects at the same load level, indicating that the muscle characteristics of individuals play an important role. The results provided a basis for quantitative evaluation of muscle fatigue.
【作者单位】：陕西师范大学物理与信息技术学院陕西省超声学重点实验室;
【基金】：国家自然科学基金(10974128,11274217) 陕西师范大学中央高校基本科研业务费专项资金(GK20131009)
【分类号】：R540.45;R68

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