使用同心针电极检测单个肌肉纤维活动:模拟研究

A. Ali, D. Stashuk, M. Tvrdon
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引用次数: 0

摘要

基于线源模型,采用反平均电流滤波将模拟的同心针检测的运动单元动作电位(muap)转化为复合权函数。使用加速度阈值估计对复合权重函数有重要贡献的单个肌纤维的数量。评估了该技术检测单个纤维对MUAP的贡献的能力。对于最大斜率大于2.4 V/s的肌纤维动作电位(MFAPs)贡献于MUAP的纤维,预期贡献纤维数与测量纤维数的相关性为0.95,不存在显著偏差。可以检测到的纤维的空间分布近似为半圆形,半径为300 /spl mu/m。这种检测单纤维活性的能力将允许同心针电极以与单纤维电极相当的方式使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detecting single muscle fiber activity using a concentric needle electrode: a simulation study
Based on the line source model, simulated concentric-needle-detected motor unit action potentials (MUAPs) were transformed into compound weight functions using inverse-average-current filtering. The numbers of significant individual muscle fiber contributions to the compound weight functions were estimated using acceleration thresholds. The ability of the technique to detect the contribution of single fibers to a MUAP was evaluated. For fibers that contributed muscle fiber action potentials (MFAPs) with maximum slopes larger than 2.4 V/s to a MUAP, the correlation between the expected number of contributing fibers and the number measured was 0.95 and no significant bias existed. The spatial distribution of fibers that could be detected was found to be approximately semicircular with a radius of 300 /spl mu/m. This capacity to detect the activity of single fibers will allow the concentric needle electrode to be used in ways comparable to that of the single fiber electrode.
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