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Equations to predict female manual arm strength based on hand location relative to the shoulder

机译:基于手相对于肩膀的位置来预测女性手动手臂力量的方程式

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摘要

The purpose of this study was to develop regression equations to predict manual arm strength for a wide variety of hand locations within the reach envelope. Maximum voluntary manual arm strength was determined from 71 female participants in six exertion directions (superior, inferior, anterior, posterior, medial and lateral), in a total of 28 hand locations. Forces ranged from 51.3 to 164.4 N, and had a pooled coefficient of variation of 29.9%. Across all 168 combinations of hand locations and exertion directions, the multivariate regression equations explained 92.5% of the variance and had a root mean square error (RMSE) of only 6.4 N, using only the anterior, lateral and vertical location of the hand relative to the active shoulder joint as inputs. These equations provide a proof-of-principle for our novel regression approach, and represent a first step towards a more comprehensive equation to estimate maximum acceptable forces for occupational tasks. Practitioner Summary: The equations presented here demonstrate a first step towards a novel and improved method to predict manual arm strength. Although a more comprehensive equation is still needed, these equations can be confidently used in the field by ergonomists to estimate the maximum acceptable forces in the six primary force directions.
机译:这项研究的目的是开发回归方程,以预测伸手范围内各种手部位置的手部手臂力量。在总共28个手部位置上,从71个女性参与者的六个运动方向(上,下,前,后,内侧和外侧)确定了最大的自愿手动手臂力量。力范围为51.3到164.4 N,合并变异系数为29.9%。在168种手部位置和用力方向的组合中,多元回归方程解释了方差的92.5%,并且仅使用手部相对于前,侧和垂直位置的均方根误差(RMSE)仅为6.4N。主动肩关节作为输入。这些方程式为我们新颖的回归方法提供了原理证明,并代表了朝着更全面的方程式迈出的第一步,该方程式可以估算职业任务的最大可接受力。从业人员摘要:这里介绍的方程式证明了向新颖和改进的方法来预测手动手臂力量的第一步。尽管仍然需要一个更全面的方程,但是人机工程学专家可以放心地在野外使用这些方程来估计六个主力方向上的最大可接受力。

著录项

  • 来源
    《Ergonomics》 |2014年第2期|254-261|共8页
  • 作者单位

    Department of Kinesiology, McMaster University, Hamilton, Ontario, L8S 4K1 Canada;

    Department of Kinesiology, University of Windsor, Windsor, Canada;

    Department of Kinesiology, McMaster University, Hamilton, Ontario, L8S 4K1 Canada;

    Department of Kinesiology, McMaster University, Hamilton, Ontario, L8S 4K1 Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    strength; strength prediction; maximum acceptable forces; task design;

    机译:强度;强度预测;最大可接受力;任务设计;
  • 入库时间 2022-08-18 02:15:46

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