首页> 外文会议>International Conference on Mechanical Electronic and Biosystem Engineering >Muscle Fatigue Detections During Arm Movement using EMG Signal
【24h】

Muscle Fatigue Detections During Arm Movement using EMG Signal

机译:使用EMG信号在臂运动期间肌肉疲劳检测

获取原文
获取外文期刊封面目录资料

摘要

Electromyography is a study of muscle function through the analysis of electrical signals emanated during muscular and muscle contractions. In the post-stroke rehabilitation process, monitoring of muscle activity is very important to know the developments of muscle strength. EMG signals, which produced by muscle activity have information such as muscle contractions, muscle strength and muscle weakness. Rehabilitation process that takes a long period of time can cause muscle fatigue, and the rehabilitation becomes inefficient. The objective of this research is to analyze the muscle fatigue during arm movements by using EMG signals. In this study, deltoid and biceps are monitored by using EMG and the signal are analyzed by using MATLAB. Five healthy subjects are selected to perform the rehabilitation in the experiments. Functional and fundamental movements are used in the data collections. The mean as a feature from a frequency domain is proposed to be used in the analysis. The results show that the signal contractions from deltoid and biceps muscles decreased constantly by the time. In the process of rehabilitation, the stroke sufferers should not do the exercise in a long period of time.
机译:肌算是通过分析肌肉收缩期间发出电信号的电信号的肌肉功能的研究。在行程后康复过程中,监测肌肉活动对于了解肌肉力量的发展非常重要。由肌肉活动产生的EMG信号具有肌肉收缩,肌肉力量和肌肉弱点等信息。需要很长一段时间的康复过程会导致肌肉疲劳,并且康复变得效率低下。本研究的目的是通过使用EMG信号来分析臂运动期间的肌肉疲劳。在该研究中,通过使用EMG监测三滴水和二头肌,通过使用MATLAB来分析信号。选择五个健康的受试者以在实验中进行康复。数据收集中使用功能和基本移动。提出了作为来自频域的特征的平均值来分析。结果表明,随着时间的推移,来自三角肌和二头肌肌肉的信号收缩不断下降。在康复过程中,卒中患者不应在很长一段时间内进行锻炼。

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