Muscle degradation detection — A practical medical application analysis

Sumant Kumar Mohapatra, Sushil Kumar Mahapatra, Sakuntala Mahapatra, S. K. Tripathy
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Abstract

In biomedical engineering field, signals are broadly used. In medical field, by the help of signal processing which is used to detect the stress and strain factor on body muscles, we can reduce the effect on our muscles. This paper aims at finding an optimum point for muscles breakdown to reduce the use of external elements like drugs and protein medicines to keep muscles intact. Muscles tearing originated due to same undesirable expansion and contraction due to same excess stress. To predict the band and know the maximum point is the goal. MATLAB software signal processing is done for simulating and executing different EMG signals. For modification the process was executed by a single processor unit and sets up a base to send to the main computer. First the muscle signal is extracted and given to the processors for further application like noising and denoising etc, which is the result, can calculate the breakdown level by adding two different components of muscle signal. Doctors can predict medication and therapy for maintain a required level of stress on body muscles which results in detection of management. This leads to proper functioning of muscles and less impact of stress on them to limit breakdown. By referring this concept a new application of same can be developed.
肌肉退化检测-实际医疗应用分析
在生物医学工程领域,信号有着广泛的应用。在医学领域,通过信号处理来检测人体肌肉的应力应变因素,可以减少对肌肉的影响。本文旨在寻找肌肉分解的最佳点,以减少药物和蛋白质药物等外部元素的使用,保持肌肉的完整。肌肉撕裂起源于相同的不希望的扩张和收缩,由于相同的过度压力。预测频带并知道最大值是目标。用MATLAB软件进行信号处理,模拟和执行不同的肌电信号。为了进行修改,该过程由单个处理器单元执行,并建立一个发送给主计算机的基地。首先将肌肉信号提取出来,交给处理器进行去噪、去噪等进一步处理,将肌肉信号的两个不同分量相加,就可以计算出击穿电平。医生可以预测药物和治疗,以维持身体肌肉所需的压力水平,从而发现管理。这可以使肌肉正常运作,减少压力对肌肉的影响,从而限制肌肉的崩溃。借鉴这一概念,可以开发出一种新的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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