首页> 外文期刊>Journal of electromyography and kinesiology: Official journal of the International Society of Electrophysiological Kinesiology >Identification Procedure in a model of single fibre action potential – Part I: Estimation of fibre diameter and radial distance
【24h】

Identification Procedure in a model of single fibre action potential – Part I: Estimation of fibre diameter and radial distance

机译:单纤维动作电位模型中的识别程序–第一部分:纤维直径和径向距离的估计

获取原文
获取原文并翻译 | 示例
           

摘要

The Dimitrov–Dimitrova (D–D) model generates a single fibre action potential (SFAP) as the convolution of an excitation function and a filter impulse function. We propose a method to estimate the parameters involved in these functions from a SFAP waveform (inverse problem) and call it Identification Procedure. The Identification Procedure comprises two parts. The present paper, Part I, is centred on the estimation of the radial distance, r, and the fibre diameter, d, of a given SFAP. To this end we develop a technique which we call the candidate pair method (CP-method), and we test it on fibrillation potentials (FPs) as experimental data. We found that the D–D model cannot synthesize all the SFAP waveforms observed in the experimental recordings, but in the cases where it can, the CP-method then provides the values of r and d that are more likely to have synthesized the SFAP. Having a method that provides information about the fibre diameter straight from a SFAP waveform is very desirable as this parameter has clinical and physiological relevance. Moreover, the CP-method plays a major role in the Identification Procedure that is carried out in Part II.
机译:Dimitrov–Dimitrova(D–D)模型生成单个纤维动作电位(SFAP),作为激励函数和滤波器脉冲函数的卷积。我们提出了一种从SFAP波形(反问题)估计这些功能所涉及的参数的方法,并将其称为“识别程序”。识别程序包括两个部分。本文第一部分的重点是给定SFAP的径向距离r和纤维直径d的估计。为此,我们开发了一种称为候选对方法(CP方法)的技术,并在作为实验数据的原纤维形成电位(FPs)上对其进行了测试。我们发现,D–D模型不能合成在实验记录中观察到的所有SFAP波形,但是在可以的情况下,CP方法可以提供更可能合成SFAP的r和d值。由于此参数具有临床和生理相关性,因此非常需要一种能够从SFAP波形直接提供有关纤维直径的信息的方法。此外,CP方法在第二部分执行的识别程序中也起着重要作用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号