首页> 外文期刊>Journal of electromyography and kinesiology: Official journal of the International Society of Electrophysiological Kinesiology >Evidence of bilinearity in the relationship between rate of neuromuscular excitation and rate of force development
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Evidence of bilinearity in the relationship between rate of neuromuscular excitation and rate of force development

机译:毕险性的证据是神经肌肉激发率与力发育率之间的关系

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The purpose was to examine the relationship between the rate of neural excitation (rate of rise in the electromyogram, EMG) and the rate of isometric force development (RFD) to determine whether surface EMG measures can detect nonlinearity that is expected due to underlying motor unit discharge behavior and the summation of progressively larger motor unit potentials throughout recruitment. Due to interest in obtaining a change point, a bilinear model was hypothesized to provide the best fit of the EMG-RFD relationship compared to a linear model, exponential model and log-transformed data. 21 young adult participants performed isometric dorsiflexion contractions to 40% of their maximal voluntary contraction (MVC) force. Contractions were performed in RFD conditions ranging from slow (20 %MVC/s) to fast (peak volitional rate). The Akaike Information Criterion supported nonlinear best fit models in 16 of the 21 participants with the greatest overall support for the bilinear model (n = 13). The bilinear models indicated a mean change point at 204%MVC/s. The present data do not identify the specific motor unit control mechanisms at play and the influence of amplitude cancellation on the electromyogram must be carefully considered.
机译:目的是检查神经激发速率(电拍照率,EMG)与等距力发育速率(RFD)之间的关系,以确定表面EMG测量是否可以检测由于底层电机单元所期望的非线性招聘过程中逐步较大的电机单元潜力的放电行为及求和。由于兴趣获得改变点,假设双线性模型以与线性模型,指数模型和对数数据相比提供EMG-RFD关系的最佳拟合。 21名年轻成人参与者对其最大自愿收缩(MVC)力量的40%进行了等距背积缩小。在RFD条件下进行收缩,从缓慢(20%MVC / s)到快速(峰值加速率)。 Akaike信息标准支持21名参与者中的16个非线性最佳拟合模型,其对双线性模型的最大总体支持(n = 13)。双线性模型表明了204%MVC / s的平均变化点。本数据不识别比赛的特定电动机单元控制机制,并且必须仔细考虑幅度消除对电拍照的影响。

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