Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI.
Med Sci Sports Exerc. 2024 Jun 1;56(6):1077-1084. doi: 10.1249/MSS.0000000000003396. Epub 2024 Jan 19.
Understanding muscle-tendon forces (e.g., triceps surae and Achilles tendon) during locomotion may aid in the assessment of human performance, injury risk, and rehabilitation progress. Shear wave tensiometry is a noninvasive technique for assessing in vivo tendon forces that has been recently adapted to a wearable technology. However, previous laboratory-based and outdoor tensiometry studies have not evaluated running. This study was undertaken to assess the capacity for shear wave tensiometry to produce valid measures of Achilles tendon loading during running at a range of speeds.
Participants walked (1.34 m·s -1 ) and ran (2.68, 3.35, and 4.47 m·s -1 ) on an instrumented treadmill while shear wave tensiometers recorded Achilles tendon wave speeds simultaneously with whole-body kinematic and ground reaction force data. A simple isometric task allowed for the participant-specific conversion of Achilles tendon wave speeds to forces. Achilles tendon forces were compared with ankle torque measures obtained independently via inverse dynamics analyses. Differences in Achilles tendon wave speed, Achilles tendon force, and ankle torque across walking and running speeds were analyzed with linear mixed-effects models.
Achilles tendon wave speed, Achilles tendon force, and ankle torque exhibited similar temporal patterns across the stance phase of walking and running. Significant monotonic increases in peak Achilles tendon wave speed (56.0-83.8 m·s -1 ), Achilles tendon force (44.0-98.7 N·kg -1 ), and ankle torque (1.72-3.68 N·m·(kg -1 )) were observed with increasing locomotion speed (1.34-4.47 m·s -1 ). Tensiometry estimates of peak Achilles tendon force during running (8.2-10.1 body weights) were within the range of those estimated previously via indirect methods.
These results set the stage for using tensiometry to evaluate Achilles tendon loading during unobstructed athletic movements, such as running, performed in the field.
了解运动过程中的肌肉-肌腱力(例如,三头肌和跟腱)有助于评估人体运动表现、受伤风险和康复进展。剪切波张力测定法是一种用于评估活体肌腱力的非侵入性技术,最近已被应用于可穿戴技术。然而,以前基于实验室和户外的张力测定研究并未评估跑步。本研究旨在评估剪切波张力测定法在各种速度下跑步时产生跟腱加载的有效测量值的能力。
参与者在带仪器的跑步机上行走(1.34 m·s -1 )和跑步(2.68、3.35 和 4.47 m·s -1 ),同时剪切波张力计同时记录跟腱波速以及全身运动学和地面反作用力数据。一项简单的等长任务允许根据参与者的具体情况将跟腱波速转换为力。通过反向动力学分析独立获得的踝关节扭矩测量值比较跟腱力。使用线性混合效应模型分析行走和跑步速度下跟腱波速、跟腱力和踝关节扭矩的差异。
行走和跑步支撑相期间,跟腱波速、跟腱力和踝关节扭矩表现出相似的时间模式。随着运动速度的增加(1.34-4.47 m·s -1 ),观察到峰值跟腱波速(56.0-83.8 m·s -1 )、跟腱力(44.0-98.7 N·kg -1 )和踝关节扭矩(1.72-3.68 N·m·(kg -1 ))呈单调递增。跑步时跟腱力峰值的张力测定估计值(8.2-10.1 体重)在以前通过间接方法估计的范围内。
这些结果为使用张力测定法评估运动过程中不受阻碍的运动(例如跑步)中的跟腱加载奠定了基础。