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[提高心脏病学仪器数据自动处理中信息含量的方法]

[Ways to increase the information content in the automatic processing of instrumental data in cardiology].

作者信息

Matusova A P, Filippov V G, Kransnoshchekov I P, Gladkov V V, Khalmanov V V

出版信息

Kardiologiia. 1978 Feb;18(2):14-20.

PMID:633719
Abstract

New algorithms for the analysis of sinus rhythm and doppler-cardiogram of the posterior wall of the left ventricle are suggested. Clinically invormative signs have been revealed: number of classes of R--R intervals, distance between the centers of the classes, regular distribution of R--R intervals according to classes, and the value of the doppler-cardiogram spectrum harmonics I/II ratio. The possibility of using these signs in the systems of automatic analysis of data in examination of patients with ischemic heart disease is shown.

摘要

提出了用于分析窦性心律和左心室后壁多普勒心电图的新算法。已揭示出具有临床参考价值的体征:R-R间期的类别数、类别中心之间的距离、R-R间期按类别规律分布以及多普勒心电图频谱谐波I/II比值。展示了在缺血性心脏病患者检查的数据自动分析系统中使用这些体征的可能性。

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1
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[Diagnostic value of overall estimation of myocardial ischemia in patients with ischemic heart disease from EKG monitor computer analysis during the treadmill test].[平板运动试验期间通过心电图监测计算机分析对缺血性心脏病患者心肌缺血进行整体评估的诊断价值]
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