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首页> 外文期刊>BMC Neuroscience >Analysis of muscle fiber conduction velocity enables reliable detection of surface EMG crosstalk during detection of nociceptive withdrawal reflexes
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Analysis of muscle fiber conduction velocity enables reliable detection of surface EMG crosstalk during detection of nociceptive withdrawal reflexes

机译:通过分析肌纤维传导速度,可以可靠地检测伤害性退缩反射过程中的表面肌电图串扰

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Background The nociceptive withdrawal reflex (NWR) is a polysynaptic spinal reflex that induces complex muscle synergies to withdraw a limb from a potential noxious stimulus. Several studies indicate that assessment of the NWR is a valuable objective tool in relation to investigation of various pain conditions. However, existing methodologies for NWR assessment evaluate standard surface electromyography (sEMG) measured over just one muscle and do not consider the possible interference of crosstalk originating from adjacent active muscles. The present study had two aims: firstly, to investigate to which extent the presence of crosstalk may affect NWR detection using a standardized scoring criterion (interval peak z-score) that has been validated without taking crosstalk into consideration. Secondly, to investigate whether estimation of muscle fiber conduction velocity can help identifying the propagating and non-propagating nature of genuine reflexes and crosstalk respectively, thus allowing a more valid assessment of the NWR. Results Evaluation of interval peak z-score did apparently allow reflex detection with high sensitivity and specificity (0.96), but only if the influence of crosstalk was ignored. Distinction between genuine reflexes and crosstalk revealed that evaluation of interval peak z-score incorporating a z-score threshold of 12 was associated with poor reflex detection specificity (0.26-0.62) due to the presence of crosstalk. Two different standardized methods for estimation of muscle fiber conduction velocity were employed to demonstrate that significantly different muscle fiber conduction velocities may be estimated during genuine reflexes and crosstalk, respectively. This discriminative feature was used to develop and evaluate a novel methodology for reflex detection from sEMG that is robust with respect to crosstalk. Application of this conduction velocity analysis (CVA) entailed reflex detection with excellent sensitivity (1.00 and 1.00) and specificity (1.00 and 0.96) for the tibialis anterior and soleus muscles. Conclusion This study investigated the negative effect of electrical crosstalk during reflex detection and revealed that the use of a previously validated scoring criterion may result in poor specificity due to crosstalk. The excellent performance of the developed methodology in the presence of crosstalk shows that assessment of muscle fiber conduction velocity allows reliable detection of EMG crosstalk during reflex detection.
机译:背景伤害感受性退缩反射(NWR)是一种多突触性脊柱反射,可诱发复杂的肌肉协同作用,使肢体从潜在的有害刺激中退出。多项研究表明,就各种疼痛状况的调查而言,评估NWR是一种有价值的客观工具。但是,现有的用于NWR评估的方法仅评估在一只肌肉上测量的标准表面肌电图(sEMG),并且没有考虑到来自相邻活动肌肉的串扰可能产生的干扰。本研究有两个目标:首先,使用已验证的标准计分标准(间隔峰z评分)调查串扰的存在会在多大程度上影响NWR检测,而该标准并未经过考虑。其次,研究估计肌纤维传导速度是否有助于分别确定真实反射和串扰的传播性质和非传播性质,从而可以更有效地评估NWR。结果评估间隔峰z分数显然可以使反射检测具有很高的灵敏度和特异性(0.96),但前提是必须忽略串扰的影响。真实反射和串扰之间的区别表明,由于串扰的存在,评估合并z分数阈值为12的间隔峰z分数与较差的反射检测特异性(0.26-0.62)有关。两种不同的评估肌肉纤维传导速度的标准化方法被用来证明在真实反射和串扰期间可以分别估计出明显不同的肌肉纤维传导速度。此判别功能用于开发和评估一种针对sEMG进行反射检测的新颖方法,该方法相对于串扰是可靠的。这种传导速度分析(CVA)的应用需要对胫骨前肌和比目鱼肌具有出色的灵敏度(1.00和1.00)和特异性(1.00和0.96)的反射检测。结论本研究调查了反射检测过程中电串扰的负面影响,并揭示了使用先前验证的评分标准可能会由于串扰而导致特异性较差。在存在串扰的情况下,所开发方法的出色性能表明,通过对肌纤维传导速度的评估,可以在反射检测期间可靠地检测到EMG串扰。

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