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A Novel Method for Characterization of Peripheral Nerve Fiber Size Distributions by Group Delay

机译:群时延表征周围神经纤维大小分布的新方法

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The ability to determine the characteristics of peripheral nerve fiber size distributions would provide additional information to clinicians for the diagnosis of specific pathologies of the peripheral nervous system. Investigation of these conditions, using electrodiagnostic techniques, is advantageous in the sense that such techniques tend to be minimally invasive yet provide valuable diagnostic information. One of the principal electrodiagnostic tools available to the clinician is the nerve conduction velocity test. While the peripheral nerve conduction velocity test can provide useful information to the clinician regarding the viability of the nerve under study, it is a single-parameter test that yields no detailed information about the characteristics of the functioning nerve fibers within the nerve trunk. In this study, we present a technique based on decomposition of the maximal compound evoked potential and subsequent determination of the group delay of the contributing nerve fibers. The fiber group delay is then utilized as an initial estimation of the nerve fiber size distribution and the associated temporal propagation delays of the single-fiber-evoked potentials to a reference electrode. Simulation studies, based on deterministic single-fiber action potential functions, are used to demonstrate the robustness of the proposed technique in the presence of simulated noise associated with the recording process.
机译:确定周围神经纤维大小分布特征的能力将为临床医生提供更多信息,以诊断周围神经系统的特定病理。从某种意义上说,使用电诊断技术对这些状况进行调查是有利的,因为此类技术往往具有最小的侵入性,但可以提供有价值的诊断信息。临床医生可以使用的主要电诊断工具之一是神经传导速度测试。尽管周围神经传导速度测试可以为临床医生提供有关所研究神经活力的有用信息,但它是一种单参数测试,无法提供有关神经干内功能神经纤维特性的详细信息。在这项研究中,我们提出了一种基于最大化合物诱发电位的分解和随后确定贡献性神经纤维群延迟的技术。然后,将纤维群延迟用作神经纤维尺寸分布以及单纤维诱发电位到参考电极的相关时间传播延迟的初始估计。基于确定性单纤维动作电位函数的仿真研究被用来证明所提出技术在与记录过程相关的模拟噪声存在下的鲁棒性。

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