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减少冗余以改善体表电位图的显示与分析。I. 空间压缩。

Redundancy reduction for improved display and analysis of body surface potential maps. I. Spatial compression.

作者信息

Lux R L, Evans A K, Burgess M J, Wyatt R F, Abildskov J A

出版信息

Circ Res. 1981 Jul;49(1):186-96. doi: 10.1161/01.res.49.1.186.

Abstract

The Karhunen-Loeve technique of random process representation was investigated as a method of quantitatively characterizing body surface potential maps. One hundred ninety-two lead body surface potential maps from 124 normal subjects and 97 patients with independently documented heart disease were used in the study. Each map frame in QRS and ST-T of 34 maps in a test set was represented as a linear sum of orthonormal distributions derived from the covariance matrix estimated from all QRS frames in the 221 training maps. A 16:1 reduction in spatial data of the test set was achieved with rms errors of 45 and 21 microV in QRS and ST-T, respectively. Results suggest that 12 independent waveforms, derived from the 192 measured ECGs, may be used in place of those 192 ECGs. In addition to providing a convenient and familiar method of display for map data, the technique puts the data in an appropriate form for quantitative statistical analysis.

摘要

研究了用于随机过程表示的卡尔胡宁-洛伊夫技术,作为一种定量表征体表电位图的方法。本研究使用了来自124名正常受试者和97名有独立记录心脏病患者的192导联体表电位图。测试集中34幅图的QRS波群和ST-T波段的每个图帧,都表示为从221幅训练图中所有QRS波群帧估计的协方差矩阵得出的正交分布的线性和。测试集的空间数据减少了16倍,QRS波群和ST-T波段的均方根误差分别为45和21微伏。结果表明,从192次测量心电图中得出的12个独立波形,可用于替代这192份心电图。该技术除了为图数据提供一种方便且熟悉的显示方法外,还将数据转化为适合定量统计分析的形式。

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