...
首页> 外文期刊>International Journal of Industrial Ergonomics >Experimental design to evaluate the influence of anthropometric factors on the grip force and hand force exertion
【24h】

Experimental design to evaluate the influence of anthropometric factors on the grip force and hand force exertion

机译:评估人体测量因素对抓地力和手力施加的影响的实验设计

获取原文
获取原文并翻译 | 示例

摘要

Many industrial operations require gripping of tools. Therefore, it is essential to determine the grip force for labors (i.e. operators). Ratings of perceived exertion is an indirect measure method of the grip force. It is an efficient and low cost method. This method is convenient for large sample numbers as well. In this study, a Borg Category Ratio (CR10) scale is used to measure and estimate the exertion in a physical oriented way. Forty six subjects were evaluated on two scales (i.e. levels) of the CR10 scale (2 and 10 CR10 scales) under different positions. This study also investigates the effect of gender, smoking status, hand dominance, hand positions (90 degrees and 180 degrees) and wrist positions (45 degrees flexion, and 45 degrees extension) under the two Borg scales. The grip force between males and females was significant at both CR10 scale levels. The grip force was neglected between the dominant and the non-dominant hands when level 2 of CR10 was used. Moreover, the grip force was significantly different between the two positions of the hand (90 degrees and 180 degrees) at Borg scale level 10. Conversely, the grip force was not significantly different between the two hand positions at level 2. Same results were found for the wrist positions (45 degrees flexion and 45 degrees extension). The mean force at 45 degrees extension position is greater than that at 45 degrees flexion position. Three regression models were conducted for the purpose of this study. The first regression model was conducted to quantify the grip force for males and females based on hand dominance, hand positions, wrist positions, and CR10 scale. The second regression model was also conducted to predict the Maximum Voluntary Contraction (MVC) value based on gender, age, smoking status, hand dominance, hand length, hand breadth and Body Mass Index (BMI). The third regression model was conducted to estimate the endurance time value based on gender, smoking status, hand dominance, hand position, wrist position, Borg scale exertion, and MVC. Significant R-2 values were shown by the regression models. (C) 2015 Elsevier B.V. All rights reserved.
机译:许多工业操作需要夹紧工具。因此,至关重要的是确定工人(即操作员)的抓地力。感知劳累的等级是握力的间接测量方法。这是一种高效且低成本的方法。该方法也适用于大样本数。在这项研究中,博格类别比率(CR10)量表用于以物理定向的方式测量和评估运动。在两个CR10量表(2个和10个CR10量表)的不同位置上,以两种量表(即水平)对46名受试者进行了评估。这项研究还调查了两个Borg量表下性别,吸烟状况,手的优势地位,手的位置(90度和180度)和手腕的位置(45度屈曲和45度伸展)的影响。男性和女性之间的抓地力在两个CR10量表水平上均显着。当使用CR10的级别2时,优势手和非优势手之间的抓地力可以忽略。此外,在Borg标尺级别10的两个手位置(90度和180度)之间的抓地力显着不同。相反,在水平2的两个手位置之间的抓地力没有显着差异。用于腕部位置(45度弯曲和45度延伸)。 45度伸展位置的平均力大于45度屈曲位置的平均力。为了本研究的目的,进行了三个回归模型。进行了第一个回归模型,以基于手的优势,手的位置,手腕的位置和CR10量表来量化男性和女性的抓地力。还根据性别,年龄,吸烟状况,手优势,手长,手宽和体重指数(BMI)进行了第二次回归模型,以预测最大自愿收缩(MVC)值。进行了第三次回归模型,以根据性别,吸烟状况,手优势,手位置,手腕位置,Borg量表劳力和MVC估算耐力时间值。回归模型显示出显着的R-2值。 (C)2015 Elsevier B.V.保留所有权利。

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