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首页> 外文期刊>Journal of Neurophysiology >Motor unit pool organization examined via spike-triggered averaging of the surface electromyogram
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Motor unit pool organization examined via spike-triggered averaging of the surface electromyogram

机译:通过表面肌电图的尖峰触发平均检查运动单位池的组织

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Voluntary muscle force control is accomplished both by recruitment of motor units (MUs) and by firing rate modulation of active MUs. Typically, MU recruitment and firing rate organization is assessed using piecemeal intramuscular recordings drawn from different experiments, or even from different subjects. As a consequence, it is often difficult to assemble a systematic description of the relations between the different MU properties relevant to the control of muscle force. To address this gap, the objective of our current study was to characterize recruitment and firing rate organization of multiple MUs of differing action potential size, recorded simultaneously from the first dorsal interosseous muscle of intact human subjects, using a recently developed surface electromyogram (EMG) sensor array recording and decomposition system (Delsys). We sought to assess the relation between putative MU size and the recruitment and firing properties for these MUs, recorded at different muscle contraction levels. Spike-triggered averaging (STA) of the surface EMG was performed to estimate the action potential sizes using the firing times of discriminated MUs as the event triggers. The results show that the size principle, which relates MU size to recruitment rank order, was clearly evident during individual force contractions. In addition, the mean firing rate across MUs decreased with increasing size of the MU action potential and was also inversely proportional to the recruitment threshold force. We propose that surface EMG recordings together with advanced decomposition systems, combined with STA methods, may provide an efficient way to systematically examine MU pool organizational properties.
机译:自愿的肌肉力量控制既可以通过运动单元(MU)的募集,也可以通过主动MU的发射速率调制来实现。通常,使用从不同实验甚至从不同受试者获得的零碎肌肉内记录来评估MU的招募和发射率组织。结果,通常难以组装与肌肉力控制有关的不同MU特性之间的关系的系统描述。为了解决这一差距,我们当前的研究目标是使用最近开发的表面肌电图(EMG)来表征多个动作电位大小不同的MU的募集和发射率组织,这些MU从完整的人类受试者的第一背骨间肌同时记录传感器阵列记录和分解系统(Delsys)。我们试图评估推定的MU大小与这些MU的招募和击发特性之间的关系,这些关系在不同的肌肉收缩水平下记录。进行了表面肌电信号的尖峰触发平均(STA),以事件触发时使用已识别MU的触发时间来估计动作电位大小。结果表明,大小原则将MU的大小与征兵阶次相关联,在单个部队收缩期间很明显。此外,随着MU动作电位大小的增加,整个MU的平均射击速率降低,并且与招募阈值力成反比。我们建议表面肌电图记录与先进的分解系统,结合STA方法,可以提供一种有效的方法来系统地检查MU池的组织属性。

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