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Adapting a fatigue model for shoulder flexion fatigue: Enhancing recovery rate during intermittent rest intervals

机译:适应肩部屈曲疲劳的疲劳模型:在间歇性间隔期间提高回收率

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Although the rotator cuff muscles are susceptible to fatigue, shoulder fatigue studies reporting torque decline during intermittent tasks are relatively uncommon in the literature. A previous modification to the three-compartment controller (3CC) fatigue model incorporated a rest recovery multiplier (3CC-r model) to represent augmented blood flow to muscle during rest intervals (Looft et al., 2018). A rest recovery value of r = 15 was optimal for ankle, knee, and elbow joint regions, whereas r = 30 was better for hand/grip muscles. However, shoulder torque decline data was unavailable in the literature for comparison. Thus, the purpose of this study was to collect fatigue data for two different intermittent, isometric shoulder flexion fatiguing tasks and assess the 3CC-r model with r = 15 or 30 compared to the original 3CC model. Twenty healthy participants (9 M) completed two fatigue tasks: 50% maximum voluntary contraction (MVC) with 50% duty cycle (DC) and 70% MVC with 70% DC. MVCs were assessed at discrete time points (1, 3, 5, 10, and 15 min) until endurance time (MET). Mean observed percent torque decline (% TD) for the two tasks were compared to three model estimates: 3CC-r (using r = 15 and r = 30) and 3CC. Using these data, we confirmed that the addition of a rest multiplier (r = 15 somewhat better than r = 30) substantially improved predictions of shoulder fatigue using a previously validated analytical fatigue model (3CC). The relatively large reduction in model errors over the original model suggests the importance of representing augmented recovery during rest periods. Published by Elsevier Ltd.
机译:虽然转子袖口肌肉易受疲劳,但肩部疲劳研究报告在间歇任务期间的扭矩下降在文献中相对罕见。先前对三室控制器(3CC)疲劳模型的修改纳入了休息恢复乘法器(3CC-R模型),以在休息间隔期间代表增强血流到肌肉(Looft等,2018)。 r = 15的静止恢复值对于脚踝,膝盖和肘关节区域最佳,而r = 30更好的手/抓地肌。然而,肩部扭矩下降数据在文献中不可用进行比较。因此,本研究的目的是为两个不同的间歇性,等距肩屈曲疲劳任务收集疲劳数据,并与原始的3CC模型相比,使用r = 15或30评估3cc-r模型。 20个健康的参与者(9米)完成了两个疲劳任务:50%的自愿收缩(MVC),50%占空比(DC)和70%MVC,70%DC。在离散时间点(1,3,5,10和15分钟)中评估MVC,直到耐久性时间(满足)。平均观察到的两项任务的扭矩下降(%TD)与三种模型估计进行比较:3CC-R(使用r = 15和r = 30)和3cc。使用这些数据,我们确认了使用先前验证的分析疲劳模型(3CC)的休息乘法器(R = 15比r = 30更好)的增加的预测。原始模型上模型误差的相对大的减少表明在休息期间代表增强恢复的重要性。 elsevier有限公司出版

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