首页> 外文会议>Proceedings of the Human Factors and Ergonomics Society 2018 annual meeting >Evaluating the Linear Integration Method of Estimating Cumulative Loading Using an Eccentric Exercise
【24h】

Evaluating the Linear Integration Method of Estimating Cumulative Loading Using an Eccentric Exercise

机译:使用偏心练习评估估计累积载荷的线性积分方法

获取原文

摘要

The ability to quantify cumulative exposure is critically in understanding dose-response relationship in the development of work-related musculoskeletal disorders. Different integration methods have been used in estimating cumulative loading (force or torque). The general objective of cumulative loading integration methods has been to sum the loading exposure for each individual task, calculate by multiplying the magnitude of the task loading times the task duration, and develop an “area under the curve”. An assumption of this linear integration model is that short time exposure to high forces will result in a similar level of damage as relatively long-time exposure to low forces. In this study, three loading groups of eccentric exercise with the same “area under the curve” were performed by thirty participants (ten in each group). Relaxed elbow angle and maximum isometric voluntary contractions (MIVC) were collected before, immediately after, and 2, 4, 8 days after the exercise. The relaxed elbow angle and the changes in MIVC were significantly impacted by the loading group. This result suggests that the linear integration method of estimating cumulative loading may underestimate the impact of high force loading in terms of cumulative muscle damage.
机译:量化累积暴露的能力在理解工作相关的肌肉骨骼障碍发展中的剂量 - 反应关系方面是至关重要的。估计累积负载(力或扭矩)已经使用了不同的集成方法。累积加载集成方法的一般目标是总结每个任务的加载曝光,通过将任务持续时间的任务幅度乘以乘以任务持续时间的幅度来计算,并在曲线下开发“区域”。这种线性整合模型的假设是短时间暴露于高力将导致与低力相对长时间暴露相似的损坏。在这项研究中,三十名参与者(每组中十分之曲)进行三个装载偏心锻炼的偏心运动组。在运动后立即收集轻松的肘部角度和最大等距自愿收缩(MIVC),并在运动后8天。松弛的肘部角度和MIVC的变化被加载组显着影响。该结果表明,估计累积载荷的线性积分方法可能低估在累积肌肉损伤方面的高力载荷的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号