期刊
JOURNAL OF BIOMECHANICS
卷 106, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jbiomech.2020.109799
关键词
Non-invasive sensor; Robotic gait simulation; Tendon load; Shear wave tensiometer
资金
- National Science Foundation (United States) GRFP fellowship [DGE-1747503]
- Department of Veterans Affairs (United States) [RX002970, RX002357]
- National Institutes of Health (United States) [HD092697]
It has been shown that shear wave speed is directly dependent on axial stress in ex vivo tendons. Hence, a wave speed sensor could be used to track tendon loading during movement. However, adjacent soft tissues and varying joint postures may affect the wave speed-load relationship for intact tendons. The purpose of this study was to determine whether the proportional relationship between squared wave speed and stress holds for in situ cadaveric Achilles tendons, to evaluate whether this relationship is affected by joint angle, and to assess potential calibration techniques. Achilles tendon wave speed and loading were simultaneously measured during cadaveric simulations of gait and isometric contractions performed in a robotic gait simulator. Squared wave speed and axial stress were highly correlated during isometric contraction at all ankle postures (R-avg(2) = 0.98) and during simulations of gait (R-avg(2) = 0.92). Ankle plantarflexion angle did not have a consistent effect on the constant of proportionality (p = 0.217), but there was a significant specimen-angle interaction effect (p < 0.001). Wave speed-based predictions of tendon stress were most accurate (average RMS error = 11% of maximum stress) when calibrating to isometric contractions performed in a dorsiflexed posture that resembled the posture at peak Achilles loading during gait. The results presented here show that the linear relationship between tendon stress and squared shear wave speed holds for a case resembling in vivo conditions, and that calibration during an isometric task can yield accurate predictions of tendon loading during a functional task. (C) 2020 Elsevier Ltd. All rights reserved.
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