首页> 外文期刊>Journal of electromyography and kinesiology: Official journal of the International Society of Electrophysiological Kinesiology >Experimental and modeling investigation of spectral compression of biceps brachii SEMG activity with increasing force levels
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Experimental and modeling investigation of spectral compression of biceps brachii SEMG activity with increasing force levels

机译:肱二头肌肌电图活动的频谱压缩随力水平增加的实验和模型研究

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摘要

This study investigated possible motor unit (MU) firing patterns underlying changes in biceps brachii (BB) surface electromyographic (SEMG) activity in 96 participants who performed isometric actions of the elbow flexors at 40%, 60%, 80%, and 100% of maximum voluntary contraction (MVC). We also conducted a modeling investigation to determine the extent to which a model would fit the experimental results. Experimentally, there was a linear increase (277%; p<0.01) in root-mean-square (RMS) amplitude with increasing force. The mean power frequency (MNF) remained stable from 40% to 80% of MVC, but there was a decrease (8.2%; p<0.01) between 80% and 100% of MVC. A modeling approach was taken wherein well-known recruitment and rate-coding schemes activated MUs whose basic building block was the muscle fibre action potential. Two conditions were investigated: (1) an increase in firing rate (rate-coding) and (2) synchronization. The levels of rate-coding and synchronization were selected to produce a linear RMS-force relationship as observed in the experimental data. Then, the impact of these two strategies on changes in MNF was assessed. The MNF remained stable from 40% to 80% of maximum excitation for both the rate-coding and synchronization conditions. There was a decrease in MNF between 80% and 100% of maximum excitation for both modeling conditions, similar to that observed for the experimental data. Thus, at these high forces at which experimental data are technically difficult to obtain, the model supports the idea that both rate-coding and synchronization are responsible for the changes observed in surface EMG amplitude and frequency characteristics.
机译:这项研究调查了96位参与者的肱二头肌肱(BB)表面肌电图(SEMG)活动变化背后的可能的运动单位(MU)放电模式,这些参与者在40%,60%,80%和100%的肘屈肌中进行了等距动作最大自愿收缩(MVC)。我们还进行了模型研究,以确定模型适合实验结果的程度。实验上,随着力的增加,均方根(RMS)振幅线性增加(277%; p <0.01)。平均功率频率(MNF)在MVC的40%到80%之间保持稳定,但在MVC的80%和100%之间下降了(8.2%; p <0.01)。采用了一种建模方法,其中众所周知的募集和费率编码方案激活了MU,其基本组成部分是肌肉纤维动作电位。研究了两个条件:(1)发射速率(速率编码)的提高和(2)同步。如在实验数据中所观察到的,选择速率编码和同步级别以产生线性RMS-力关系。然后,评估了这两种策略对MNF变化的影响。对于速率编码和同步条件,MNF在最大激励的40%至80%之间保持稳定。对于两种建模条件,MNF都在最大激发的80%到100%之间下降,与实验数据相似。因此,在技术上难以获得实验数据的高强度条件下,该模型支持这样一种思想,即速率编码和同步都是造成表面EMG幅度和频率特性变化的原因。

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