首页> 外文期刊>Procedia Manufacturing >Electromyography Analysis: Comparison of Maximum Voluntary Contraction Methods for Anterior Deltoid and Trapezius Muscles
【24h】

Electromyography Analysis: Comparison of Maximum Voluntary Contraction Methods for Anterior Deltoid and Trapezius Muscles

机译:肌电图分析:前三角肌和斜方肌最大自愿收缩方法的比较

获取原文
           

摘要

Electromyography (EMG) analysis techniques are widely used in ergonomics and biomechanical studies for analyzing the demand of a job, comparing different tasks, and ergonomics design. To perform such analyses, the EMG data must first be normalized to maximum voluntary contractions (MVC). Normalized EMG data not only allows comparisons to be made between different tasks, but it also informs about how active muscles are relative to their maximum capabilities. Different MVC exercises have become accepted as a standard only by their wide use. However, systematic research on the effectiveness of different MVC methods are still needed to identify the exercises that will produce the true maximum contraction levels of muscles. The purpose of this study was to compare the accepted MVC methods in the literature for the anterior deltoid and trapezius muscles to newly proposed MVC methods. Eight participants were recruited from the Louisiana State University (LSU) population. The proposed MVC for the anterior deltoids involved positioning the shoulders at 90o flexion with fixed straps wrapped around the distal end of the upper arm. In this position, participants were asked to exert upward forces against the straps while attempting to use only the shoulder muscles. The proposed MVC for the trapezii involved performing lateral raises at 100o shoulder abduction against fixed chains. These MVC methods were compared to their respective accepted MVCs in the literature. The proposed MVC for the right and left anterior deltoids resulted in 58% and 46% higher EMG levels, respectively, than the accepted MVC. The proposed MVC for both the right and left trapezii produced 68% higher EMG levels than the accepted MVC. The new MVC methods were found to allow the production of more accurate EMG signals of the maximum contraction levels.
机译:肌电图(EMG)分析技术被广泛用于人体工程学和生物力学研究中,以分析工作需求,比较不同任务和进行人体工程学设计。要执行此类分析,必须首先将EMG数据标准化为最大自愿收缩(MVC)。标准化的EMG数据不仅允许在不同任务之间进行比较,还可以告知活跃的肌肉与其最大能力之间的关系。只有通过广泛使用,不同的MVC练习才被接受为标准。但是,仍然需要对不同的MVC方法的有效性进行系统研究,以识别出将产生真正最大肌肉收缩水平的运动。这项研究的目的是比较文献中公认的三角肌前肌和斜方肌的MVC方法与新提出的MVC方法。从路易斯安那州立大学(LSU)的人口中招募了八名参与者。拟议的前三角肌MVC包括将肩膀定位在90度屈曲位置,并用固定的绑带缠绕上臂的远端。在此位置,要求参与者仅尝试使用肩部肌肉,同时对肩带施加向上的力量。斜方肌的拟议MVC包括在对固定链的100o肩外展中进行侧举。将这些MVC方法与文献中各自接受的MVC进行了比较。提议的右前三角肌和左前三角肌MVC分别比接受的MVC高58%和46%。提议的左右斜方肌MVC产生的EMG水平比公认的MVC高68%。发现新的MVC方法可以产生最大收缩水平的更精确的EMG信号。

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