Negro Francesco, Yavuz Ş Utku, Farina Dario
Department of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Göttingen, Bernstein Center for Computational Neuroscience, Georg-August University of Göttingen, Göttingen, Germany.
PLoS One. 2014 Mar 25;9(3):e92390. doi: 10.1371/journal.pone.0092390. eCollection 2014.
Contractile properties of human motor units provide information on the force capacity and fatigability of muscles. The spike-triggered averaging technique (STA) is a conventional method used to estimate the twitch waveform of single motor units in vivo by averaging the joint force signal. Several limitations of this technique have been previously discussed in an empirical way, using simulated and experimental data. In this study, we provide a theoretical analysis of this technique in the frequency domain and describe its intrinsic limitations. By analyzing the analytical expression of STA, first we show that a certain degree of correlation between the motor unit activities prevents an accurate estimation of the twitch force, even from relatively long recordings. Second, we show that the quality of the twitch estimates by STA is highly related to the relative variability of the inter-spike intervals of motor unit action potentials. Interestingly, if this variability is extremely high, correct estimates could be obtained even for high discharge rates. However, for physiological inter-spike interval variability and discharge rate, the technique performs with relatively low estimation accuracy and high estimation variance. Finally, we show that the selection of the triggers that are most distant from the previous and next, which is often suggested, is not an effective way for improving STA estimates and in some cases can even be detrimental. These results show the intrinsic limitations of the STA technique and provide a theoretical framework for the design of new methods for the measurement of motor unit force twitch.
人类运动单位的收缩特性可提供有关肌肉力量能力和疲劳性的信息。触发脉冲平均技术(STA)是一种通过对关节力信号进行平均来估计体内单个运动单位抽搐波形的传统方法。此前已通过模拟和实验数据,以实证方式讨论了该技术的若干局限性。在本研究中,我们在频域对该技术进行了理论分析,并描述了其内在局限性。通过分析STA的解析表达式,首先我们表明,即使从相对较长的记录来看,运动单位活动之间的一定程度相关性也会妨碍对抽搐力的准确估计。其次,我们表明STA对抽搐的估计质量与运动单位动作电位的峰峰间期相对变异性高度相关。有趣的是,如果这种变异性极高,即使对于高放电率也能获得正确估计。然而,对于生理峰峰间期变异性和放电率,该技术的估计准确性相对较低且估计方差较高。最后,我们表明,常被建议的选择与前一个和下一个触发最远离的触发方式,并非提高STA估计的有效方法,在某些情况下甚至可能有害。这些结果显示了STA技术的内在局限性,并为设计测量运动单位力量抽搐的新方法提供了理论框架。