Dorfman L J
Muscle Nerve. 1984 Jan;7(1):2-11. doi: 10.1002/mus.880070103.
Recent advances in digital signal processing have permitted the development of clinically relevant, noninvasive, computer-based methods for estimating the distribution of conduction velocities (DCV) in motor, sensory, and mixed populations of large myelinated nerve fibers. All currently available methods incorporate explicit and implicit assumptions about the nature of the unit impulses under study. Preliminary investigations using DCV methods have clarified some issues concerning conduction of impulses in the different fiber subpopulations of normal and diseased human nerves. In the presence of severe nerve disease, DCV analysis is usually either impractical or superfluous; additional studies are needed to define its range of clinical applicability. Extension of this technology to clinical analysis of small myelinated and unmyelinated fiber populations will require improvements in the techniques of nerve stimulation and recording.
数字信号处理方面的最新进展使得开发出基于计算机的临床相关非侵入性方法成为可能，这些方法可用于估计大髓鞘神经纤维运动、感觉和混合群体中的传导速度分布（DCV）。目前所有可用的方法都对所研究的单位脉冲的性质包含明确和隐含的假设。使用DCV方法的初步研究已经阐明了一些关于正常和患病人类神经不同纤维亚群中冲动传导的问题。在存在严重神经疾病的情况下，DCV分析通常要么不切实际，要么多余；需要进一步的研究来确定其临床适用范围。将该技术扩展到小髓鞘和无髓鞘纤维群体的临床分析将需要改进神经刺激和记录技术。
