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Analysis of sEMG signals associated with isometric contraction of triceps brachii muscles using multifractals

机译:使用多重分形分析与肱三头肌肱三头肌等长收缩相关的sEMG信号

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In this work, isometric contraction of triceps brachii muscles are analyzed using surface electromyography (sEMG) signals and multifractals. The signals are recorded from 20 healthy adult volunteers at three different angles of elbow flexions namely 30°, 60° and 90° using standard experimental protocol. The recorded signals are preprocessed and subjected to Multifractal Detrended Fluctuation Analysis (MF-DFA). The three extracted MF-DFA features namely, peak exponent event, rare exponent event and smooth exponent event, are used for further analysis. The results show that multifractal spectrum response are distinct for all the three angles of flexion. It is observed that multifractal spectrum is shifting from higher order exponents to lower order with the increase in the angle of flexion. The features are statistically highly significant between 30° and 90° flexion. The smooth exponent is found to be statistically highly significant for both 60°-90° and 30°-90° flexion. It appears that this method of multifractal technique is an useful approach to understand muscle contractions in fatigue and in varied clinical conditions.
机译:在这项工作中,使用表面肌电图(sEMG)信号和多重分形分析肱三头肌的等长收缩。使用标准实验方案,从20个健康的成年人志愿者以三个不同的肘部弯曲角度(即30°,60°和90°)记录信号。对记录的信号进行预处理,并进行多分形去趋势波动分析(MF-DFA)。提取的三个MF-DFA特征即峰值指数事件,稀有指数事件和平滑指数事件被用于进一步分析。结果表明,对于所有三个屈曲角度,多重分形谱响应都不同。可以观察到,随着屈角的增加,多重分形谱从高阶指数向低阶指数转移。在30°和90°屈曲之间,这些特征在统计上非常重要。发现光滑指数对于60°-90°和30°-90°屈曲在统计学上都非常重要。看来,这种多重分形技术方法是了解疲劳和各种临床情况下肌肉收缩的有用方法。

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