首页> 外文期刊>Medical engineering & physics. >The relationship between RMS electromyography and thickness change in the skeletal muscles
【24h】

The relationship between RMS electromyography and thickness change in the skeletal muscles

机译:RMS肌电图与骨骼肌厚度变化之间的关系

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The knowledge of muscle function may affect prescribing medications and physical treatments. Recently, ultrasound and electromyography (EMG) have been used to assess the skeletal muscles activity. The relationship between these methods has been reported in numerous articles qualitatively. In this paper, the relationship between EMG root-mean-square (RMS) and ultrasound data of muscle thickness has been investigated using Response Surface Methodology in the muscles separately and together and predictive models reported. Results show that to assess the relationship between the changes of thickness and activity (EMG) in muscles, we can use quadratic model for the rectus femoris, tibialis anterior, transverse abdominal, biceps brachii and brachialis muscles (R-2 = 0.624-0.891) and linear model for the internal and external oblique abdominal, lumbar multifidus and deep cervical flexor muscles (R-2 = 0.348-0.767). Due to the high correlation coefficient for the equations in the bulky muscles, it seems that the correlation between EMG RMS and ultrasound data of muscle thickness on the bulky muscles is higher than the flat muscles. This relationship may depend more on the type of activity than the type of muscle. (C) 2017 IPEM. Published by Elsevier Ltd. All rights reserved.
机译:肌肉功能的知识可能影响处方药物和身体治疗。最近,超声波和肌电图(EMG)已被用于评估骨骼肌活动。这些方法之间的关系已经在许多文章中报告。在本文中,在肌肉中单独使用响应表面方法以及报告的预测模型研究了EMG根均方法(RMS)与肌厚度超声数据的关系。结果表明,评估肌肉中厚度和活动变化(EMG)之间的关系,我们可以使用直肠股骨,胫骨前,横向腹部,二头肌和肱肌肉(R-2 = 0.624-0.891)使用二次模型(R-2 = 0.624-0.891)内外斜腹部,腰部多方和深颈部屈肌肌肉的线性模型(R-2 = 0.348-0.767)。由于庞大肌肉中的方程的高相关系数,似乎庞大肌肉上的肌肉厚度与肌肉厚度的超声数据之间的相关性高于平坦的肌肉。这种关系可能比肌肉的类型更多地依赖于活动的类型。 (c)2017年IPEM。 elsevier有限公司出版。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