首页> 外文会议>2010 3rd International Conference on Biomedical Engineering and Informatics >Assessing muscle fatigue by measuring the EMG of biceps brachii
【24h】

Assessing muscle fatigue by measuring the EMG of biceps brachii

机译:通过测量肱二头肌的肌电图评估肌肉疲劳

获取原文

摘要

The purpose of this study is to measure the surface electromyography (sEMG) to assess the muscle fatigue endurance when doing the forearm contraction exercise. There were six subjects (24.4±1.35 years, height 176.8±7.41cm and weight 72.2 ± 2.48 kg) who completed endurance repetitions forearm exercise of lifting 12 lb dumbbell and the sEMG signal of each subject''s biceps brachii were recorded. Signal of maximal voluntary contraction (MVC) were measured before and after exercise. Median (MedF) and mean (MF) spectral frequency of MVC were calculated for each percentage of repetition. The calculated results indicated that the later exercise (endurance concentric contraction) indicated the muscle fatigue between 90% and 100% (muscle fatigue phase) of time percentage and the linear regression of spectral frequency (MedF, MF) indicated that the line equations can be used to assess the tendencies of muscle fatigue.
机译:这项研究的目的是测量表面肌电图(sEMG),以评估前臂收缩运动时的肌肉疲劳耐力。有6名受试者(24.4±1.35岁,身高176.8±7.41cm,体重72.2±2.48kg)完成了举重12磅哑铃的前臂锻炼的耐力重复,并记录了每个受试者肱二头肌的sEMG信号。运动前和运动后测量最大自愿收缩(MVC)信号。对于每个重复百分比,计算MVC的中值(MedF)和平均(MF)频谱频率。计算结果表明,以后的运动(耐力同心收缩)表示时间百分比在90%和100%(肌肉疲劳阶段)之间的肌肉疲劳,频谱频率的线性回归(MedF,MF)表明线方程可以用于评估肌肉疲劳的趋势。

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