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基于肌肉骨骼建模的估计,在抗阻训练中,负荷相关的相对肌肉用力。

Musculoskeletal modelling based estimates of load dependent relative muscular effort during resistance training exercises.

机构信息

School of Physical Therapy, University of Puget Sound, Tacoma, WA, USA.

Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, USA.

出版信息

Sports Biomech. 2024 Oct;23(10):1772-1782. doi: 10.1080/14763141.2021.1983636. Epub 2021 Oct 11.

Abstract

The purpose of this study was to investigate the relative muscular effort (RME) of the hip and knee extensor and ankle plantarflexor muscle groups during the back squat (BS) and split squat (SS) exercises across four external load conditions. Motion capture and force plate data were collected as participants performed the BS and SS at 0%, 25%, 50%, and 75% of their body-mass. These data were used to calculate net joint moments (NJM) at the hip, knee, and ankle of the front leg during the SS and the matched leg during the BS. A musculoskeletal model, which accounted for force-length-velocity properties of 52 muscles, was used to estimate the maximal possible NJM (NJM) of the hip and knee extensor and ankle plantarflexor muscle groups. RME was calculated as the ratio between NJM and NJM, and compared across exercises and loads. The results indicated that while hip extensor RME increased across all loads, the increases in hip extensor RME were disproportionately greater during the SS at loads of 50% and 75%. Knee extensor RME increased linearly across loads and did not differ between exercises. These results provide coaches and athletes with detailed information about how to optimise resistance training specificity.

摘要

本研究旨在探讨在四种外部负荷条件下,后深蹲(BS)和分腿蹲(SS)练习中髋关节伸肌、膝关节伸肌和踝关节跖屈肌的相对肌肉用力(RME)。当参与者以其体重的 0%、25%、50%和 75%进行 BS 和 SS 时,收集运动捕捉和力量板数据。这些数据用于计算 SS 中前腿和 BS 中匹配腿的髋关节、膝关节和踝关节的净关节力矩(NJM)。使用考虑了 52 块肌肉的力-长-速特性的肌肉骨骼模型来估计髋关节伸肌、膝关节伸肌和踝关节跖屈肌的最大可能 NJM(NJM)。RME 被计算为 NJM 与 NJM 的比值,并在练习和负荷之间进行比较。结果表明,虽然髋关节伸肌的 RME 在所有负荷下均增加,但在 50%和 75%的负荷下,SS 中的增加不成比例地更大。膝关节伸肌的 RME 呈线性增加,且在练习之间没有差异。这些结果为教练和运动员提供了有关如何优化阻力训练特异性的详细信息。

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