Biomechatronics and Embedded Systems Group, Bielefeld University of Applied Sciences, Bielefeld, NRW, Germany.
PLoS One. 2022 Oct 6;17(10):e0275128. doi: 10.1371/journal.pone.0275128. eCollection 2022.
Tendons consist of passive soft tissue with non linear material properties. They play a key role in force transmission from muscle to skeletal structure. The properties of tendons have been extensively examined in vitro. In this work, a non linear model of the distal biceps brachii tendon was parameterized based on measurements of myotendinous junction displacements in vivo at different load forces and elbow angles. The myotendinous junction displacement was extracted from ultrasound B-mode images within an experimental setup which also allowed for the retrieval of the exerted load forces as well as the elbow joint angles. To quantify the myotendinous junction movement based on visual features from ultrasound images, a manual and an automatic method were developed. The performance of both methods was compared. By means of exemplary data from three subjects, reliable fits of the tendon model were achieved. Further, different aspects of the non linear tendon model generated in this way could be reconciled with individual experiments from literature.
肌腱由具有非线性材料特性的被动软组织组成。它们在将肌肉力传递到骨骼结构中起着关键作用。肌腱的特性已经在体外得到了广泛的研究。在这项工作中，基于在不同负载力和肘部角度下体内测量的肌肌腱连接位移，对肱二头肌远端肌腱的非线性模型进行了参数化。肌肌腱连接位移是从超声 B 模式图像中提取的，实验设置还允许检索施加的负载力以及肘部角度。为了根据超声图像的视觉特征定量肌肌腱连接运动，开发了手动和自动两种方法。比较了这两种方法的性能。通过三个受试者的示例数据，成功地实现了肌腱模型的可靠拟合。此外，以这种方式生成的非线性肌腱模型的不同方面可以与文献中的个别实验相协调。
