Estimation of muscular metabolic power in two different cross-country sit-skiing sledges using inverse-dynamics simulation.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2022-10-06 eCollection Date: 2022-01-01 DOI:10.1177/20556683221131557
Marie Lund Ohlsson, Jonas Danvind, L Joakim Holmberg
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Abstract

The aim of this study was to estimate and compare the muscular metabolic power produced in the human body using musculoskeletal inverse-dynamics during cross-country sit-skiing. Two sitting positions were adapted for athletes with reduced trunk and hip muscle control, knee low with frontal trunk support (KL-fix), and knee high (KH). Five female national class able-bodied cross-country skiers performed submaximal and maximal exercise in both sitting positions, while recording 3-D kinematics, pole forces, electromyography and respiratory variables. Simulations were performed from these experimental results and muscular metabolic power was computed. The main part of the muscle metabolic power was produced in the upper limbs for both sitting positions, but KH produced more muscle metabolic power in lower limbs and trunk during maximal intensity. KH was also more efficient, utilizing less muscular metabolic power during submaximal intensities, relatively less power in the upper limbs and more power in the trunk, hip and lower limb muscles. This implies that sitting position KH is preferable for high power output when using able-bodied simulation models. This study showed the potential of using musculoskeletal simulations to improve the understanding of how different equipment design and muscles contribute to performance.

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用反动力学模拟估算两种不同越野坐滑雪橇的肌肉代谢力。
本研究的目的是估计和比较在越野坐式滑雪中使用肌肉骨骼逆动力学在人体中产生的肌肉代谢力。对于躯干和臀部肌肉控制能力较弱的运动员,采用两种坐姿,膝盖低,前躯干支撑(KL-fix),膝盖高(KH)。五名国家级别健全的女性越野滑雪运动员在两种坐姿下进行了次极限和最大极限运动,同时记录了三维运动学、极点力、肌电图和呼吸变量。根据这些实验结果进行模拟,并计算肌肉代谢力。两种坐姿的肌肉代谢力主要产生于上肢,但在最大强度时,KH产生的肌肉代谢力更多的是下肢和躯干。KH也更有效,在次最大强度时利用较少的肌肉代谢力,上肢的力量相对较少,躯干、髋关节和下肢肌肉的力量较多。这意味着当使用健全的仿真模型时,坐姿KH更适合高功率输出。这项研究显示了使用肌肉骨骼模拟来提高对不同设备设计和肌肉如何影响性能的理解的潜力。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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