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通过计算机化检测正确的超声心动图(ECG)和心电向量图(VCG)诊断标准的新数学统计方法。I. VCG振幅上限(Lu)和下限(Ll)的确定。多变量分析。

New mathematical statistical methods for detecting correct echocardiographic (ECG) and vectorcardiographic (VCG) diagnosis criteria by computerization. I. The determination of the upper (Lu) and low (Ll) limits for VCG amplitudes. The multivariate analysis.

作者信息

Arsenescu G, Văduva I, Cherciu M, Danciu V, Ghinescu R, Săbău M, Avrigean V, Arsenescu I, Mitrea I, Badiu G

出版信息

Physiologie. 1983 Jul-Sep;20(3):205-11.

PMID:6417700
Abstract

The mathematical statistical methods for the determination of the upper (Lu) and low (Ll) limits of the 95 percentile range of symmetrical and asymmetrical frequency distribution curves for electrocardiographic (ECG) or vectorcardiographic (VCG) amplitudes, ECG and VCG diagnostic criteria, and the multivariate analysis as well as the bases of their computerization-program have been presented, in order to find out the ECG and VCG diagnostic criteria. The formulae for the determination of sensitivity, specificity and performance score of the ECG and VCG diagnostic criteria, in both the above mentioned methods are presented.

摘要

本文介绍了用于确定心电图(ECG)或向量心电图(VCG)振幅的对称和不对称频率分布曲线的95%百分位数范围的上限(Lu)和下限(Ll)的数学统计方法、ECG和VCG诊断标准、多变量分析及其计算机程序化的基础,以便找出ECG和VCG诊断标准。文中给出了上述两种方法中用于确定ECG和VCG诊断标准的敏感性、特异性和性能评分的公式。

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