Suppr超能文献

运动单位动作电位持续时间,I:手动测量与自动测量的变异性

Motor unit action potential duration, I: variability of manual and automatic measurements.

作者信息

Rodríguez Ignacio, Gila Luis, Malanda Armando, Gurtubay Ignacio Garcia, Mallor Fermin, Gómez Sagrario, Navallas Javier, Rodríguez Javier

机构信息

Departamento de Ingeniería Eléctrica y Electrónica, Universidad Pública de Navarra, Spain.

出版信息

J Clin Neurophysiol. 2007 Feb;24(1):52-8. doi: 10.1097/01.wnp.0000236606.53923.0d.

Abstract

The aim of this work is to analyze the variability in manual measurements of motor unit action potential (MUAP) duration and to evaluate the effectiveness of well-known algorithms for automatic measurement. Two electromyographists carried out three independent duration measurements of a set of 240 MUAPs. The intraexaminer and interexaminer variabilities were analyzed by means of the Gage Reproducibility and Repeatability method. The mean of the three closest manually marked positions was considered the gold standard of the duration markers positions (GSP). The results of four well-known automatic methods for estimating MUAP duration were compared to the GSP. Manual measurements of duration showed a lot of variability, with the combined intraoperator and interoperator variability greater than 30%. The greatest difference between manual positions was 11.2 ms. The mean differences between the GSP and those obtained with the four automatic methods ranged between 0.6 and 8.5 ms. Both manual and automatic measurements of MUAP duration show a high degree of variability. More precise methods are needed to improve the accuracy and reliability of the estimates of this parameter.

摘要

这项工作的目的是分析运动单位动作电位(MUAP)持续时间手动测量的变异性,并评估用于自动测量的知名算法的有效性。两名肌电图专家对一组240个MUAP进行了三次独立的持续时间测量。采用量具重复性和再现性方法分析了检查者内和检查者间的变异性。三个最接近的手动标记位置的平均值被视为持续时间标记位置(GSP)的金标准。将四种知名的估计MUAP持续时间的自动方法的结果与GSP进行了比较。持续时间的手动测量显示出很大的变异性,操作者内和操作者间的综合变异性大于30%。手动位置之间的最大差异为11.2毫秒。GSP与四种自动方法获得的结果之间的平均差异在0.6至8.5毫秒之间。MUAP持续时间的手动和自动测量均显示出高度的变异性。需要更精确的方法来提高该参数估计的准确性和可靠性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验