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基于计算机的动态QT变化分析:迈向高精度和个体化心率校正

Computer-based analysis of dynamic QT changes: toward high precision and individual rate correction.

作者信息

Dota Corina, Skallefell Bo, Edvardsson Nils, Fager Gunnar

机构信息

Experimental Medicine, AstraZeneca R & D Mölndal, S-431 83 Mölndal, Sweden.

出版信息

Ann Noninvasive Electrocardiol. 2002 Oct;7(4):289-301. doi: 10.1111/j.1542-474x.2002.tb00177.x.

DOI:10.1111/j.1542-474x.2002.tb00177.x
PMID:12431306
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7027718/
Abstract

BACKGROUND

New strategies are needed to improve the results of automatic measurement of the various parts of the ECG signal and their dynamic changes.

METHODS

The EClysis software processes digitally-recorded ECGs from up to 12 leads at 500 Hz, using strictly defined algorithms to detect the PQRSTU points and to measure ECG intervals and amplitudes. Calculations are made on the averaged curve of each sampling period (beat group) or as means +/- SD for beat groups, after being analyzed at the individual beat level in each lead. Resulting data sets can be exported for further statistical analyses. Using QT and R-R measured on beat level, an individual correction for the R-R dependence can be performed.

RESULTS

EClysis assigns PQRSTU points and intervals in a sensitive and highly reproducible manner, with coefficients of variation in ECG intervals corresponding to ca. 2 ms in the simulated ECG. In the normal ECG, the CVs are 2% for QRS, 0.8% for QT, and almost 6% for PQ intervals. EClysis highlights the increase in QT intervals and the decrease of T-wave amplitudes during almokalant infusion versus placebo. Using the observed linear or exponential relationships to adjust QT for R-R dependence in healthy subjects, one can eliminate this dependence almost completely by individualized correction.

CONCLUSIONS

The EClysis system provides a precise and reproducible method to analyze ECGs.

摘要

背景

需要新的策略来改善心电图(ECG)信号各部分自动测量的结果及其动态变化。

方法

EClysis软件以500Hz的频率处理来自多达12导联的数字记录心电图,使用严格定义的算法来检测PQRSTU点并测量ECG间期和振幅。在对每个导联的单个心动周期水平进行分析后,对每个采样周期(心动周期组)的平均曲线进行计算,或作为心动周期组的均值±标准差进行计算。所得数据集可导出用于进一步的统计分析。使用在心动周期水平测量的QT和R-R间期,可以对R-R依赖性进行个体校正。

结果

EClysis以敏感且高度可重复的方式分配PQRSTU点和间期,在模拟心电图中,ECG间期的变异系数约为2ms。在正常心电图中,QRS间期的变异系数为2%,QT间期为0.8%,PQ间期几乎为6%。与安慰剂相比,EClysis突出显示了在静脉输注almokalant期间QT间期的增加和T波振幅的降低。利用在健康受试者中观察到的线性或指数关系来校正QT间期的R-R依赖性,通过个体化校正几乎可以完全消除这种依赖性。

结论

EClysis系统提供了一种精确且可重复的心电图分析方法。

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