Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Nat Commun. 2018 Apr 23;9(1):1592. doi: 10.1038/s41467-018-03797-6.
Muscles are the actuators that drive human movement. However, despite many decades of work, we still cannot readily assess the forces that muscles transmit during human movement. Direct measurements of muscle-tendon loads are invasive and modeling approaches require many assumptions. Here, we introduce a non-invasive approach to assess tendon loads by tracking vibrational behavior. We first show that the speed of shear wave propagation in tendon increases with the square root of axial stress. We then introduce a remarkably simple shear wave tensiometer that uses micron-scale taps and skin-mounted accelerometers to track tendon wave speeds in vivo. Tendon wave speeds are shown to modulate in phase with active joint torques during isometric exertions, walking, and running. The capacity to non-invasively assess muscle-tendon loading can provide new insights into the motor control and biomechanics underlying movement, and could lead to enhanced clinical treatment of musculoskeletal injuries and diseases.
肌肉是驱动人体运动的执行器。然而,尽管已经进行了几十年的研究,我们仍然难以准确评估肌肉在人体运动过程中传递的力量。直接测量肌腱负荷是一种有创的方法,而建模方法则需要许多假设。在这里,我们引入了一种非侵入性的方法,通过跟踪振动行为来评估肌腱负荷。我们首先表明,肌腱中剪切波传播速度随轴向应力的平方根而增加。然后,我们引入了一种非常简单的剪切波张力计,它使用微米级的敲击器和贴在皮肤上的加速度计来跟踪体内肌腱的波速。在等长运动、行走和跑步过程中,肌腱波速与主动关节扭矩呈同相调制。非侵入性地评估肌肉肌腱的负荷能力,可以为运动的运动控制和生物力学提供新的见解,并可能导致对肌肉骨骼损伤和疾病的临床治疗的改善。