从心电图测量结果中估计的反极化分散
M S Fuller1, G Sándor, B Punske
1Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah School of Medicine, Salt Lake City, Utah 84112-5000, USA. fuller@cvrti.utah.edu
Circulation
|August 10, 2000
概括
一种新的根-平均-平方 (RMS) 曲线方法准确地估计了从身体表面ECG的复极化分散 (Rd). 这种RMS方法优于常用的QT分散 (QTd) 以预测心脏异常.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 电力生理学 电力生理学
背景情况:
- 再极化分散 (Rd) 是心脏异常的公认预测指标.
- 目前测量Rd的方法有局限性.
研究的目的:
- 引入和验证一种新的平方根均值 (RMS) 曲线方法来测量Rd.
- 为了比较RMS方法与传统的QT分散度 (QTd) 的性能.
主要方法:
- 从狗心脏同时记录上心电图和身体表面心电图.
- 从各种领先集 (心上,身体表面,心前,最佳) 导出RMS曲线的推导.
- 通过操纵周期长度,温度和激活序列来改变复极化的改变.
主要成果:
- RMS曲线T波宽与直接测量的Rd显示出高相关性 (上心脏:0.91,身体表面:0.84).
- 在所有集中,QTd与Rd的相关性很差 (上心:0.46,身体表面:0.47,前心:0.17,最佳:0.11).
结论:
- RMS曲线分析提供了一个准确的方法来估计Rd从身体表面ECG.
- 在QTd分析中,Rd.的估计不够.
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