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基于骨-肌杠杆系统建模腕屈伸过程中腕角度与肌肉厚度的关系:一项对比研究。

Modeling the relationship between wrist angle and muscle thickness during wrist flexion-extension based on the bone-muscle lever system: a comparison study.

机构信息

School of Communication and Information Engineering, Shanghai University, Shanghai, China.

出版信息

Med Eng Phys. 2009 Dec;31(10):1255-60. doi: 10.1016/j.medengphy.2009.08.003. Epub 2009 Sep 8.

Abstract

A structural model of skeletal muscle based on the bone-muscle lever system is proposed to describe the relationship between wrist angle and thickness of the extensor carpi radialis muscle during the process of wrist flexion-extension. This model applied the cosine theorem to the expression for muscle length, in order to relate wrist angle to muscle thickness by the invariance of muscle volume, which was used to calculate the length of the extensor carpi radialis muscle from the muscle thickness. To validate the proposed model, wrist angles were also computed by other models based on regression, such as linear regressions, an artificial neural network, and a support vector machine. The results show that wrist angles are predicted well at different extension rates by our proposed model, with correlation coefficient (R(2)) greater than 0.94, standard root mean square error (SRMSE) less than 8.0 and relative root mean square error (RRMSE) less than 13%. These parameters show that the proposed model is better than the other regression-based models (p<0.05). More importantly, this model can be clearly related to physiology. Thus, it can potentially be used to investigate the relationship between internal structural changes of skeletal muscle and external limb behaviors, and to develop prosthetic hands and functional electrical stimulation systems.

摘要

提出了一种基于骨-肌杠杆系统的骨骼肌肉结构模型,用于描述腕关节屈伸过程中腕关节角度与伸腕肌厚度之间的关系。该模型将余弦定理应用于肌肉长度的表达式中,通过肌肉体积不变性将腕关节角度与肌肉厚度联系起来,从而根据肌肉厚度计算伸腕肌的长度。为了验证所提出的模型,还通过回归(如线性回归、人工神经网络和支持向量机)等其他模型计算了腕关节角度。结果表明,在所提出的模型中,在不同的伸展率下,腕关节角度的预测效果很好,相关系数(R(2))大于 0.94,标准均方根误差(SRMSE)小于 8.0,相对均方根误差(RRMSE)小于 13%。这些参数表明,所提出的模型优于其他基于回归的模型(p<0.05)。更重要的是,该模型可以与生理学清楚地联系起来。因此,它可以用于研究骨骼肌肉内部结构变化与外部肢体行为之间的关系,并开发假肢手和功能性电刺激系统。

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