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Automatic wide complex tachycardia differentiation using mathematically synthesized vectorcardiogram signals
Annals of Noninvasive Electrocardiology ( IF 1.1 ) Pub Date : 2021-09-25 , DOI: 10.1111/anec.12890
Anthony H. Kashou 1 , Sarah LoCoco 2 , Trevon D. McGill 1 , Christopher M. Evenson 2 , Abhishek J. Deshmukh 2 , David O. Hodge 3 , Daniel H. Cooper 2 , Sandeep S. Sodhi 2 , Phillip S. Cuculich 2 , Samuel J. Asirvatham 4 , Peter A. Noseworthy 4 , Christopher V. DeSimone 4 , Adam M. May 2
Affiliation  

Automated wide complex tachycardia (WCT) differentiation into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) may be accomplished using novel calculations that quantify the extent of mean electrical vector changes between the WCT and baseline electrocardiogram (ECG). At present, it is unknown whether quantifying mean electrical vector changes within three orthogonal vectorcardiogram (VCG) leads (X, Y, and Z leads) can improve automated VT and SWCT classification.

中文翻译:

使用数学合成的矢量心电图信号自动区分广泛复杂的心动过速

可以使用量化 WCT 和基线心电图 (ECG) 之间的平均电矢量变化程度的新计算来实现自动宽幅复合心动过速 (WCT) 区分为室性心动过速 (VT) 和室上性宽幅复合心动过速 (SWCT)。目前,尚不清楚量化三个正交矢量心电图 (VCG) 导联(X、Y 和 Z 导联)内的平均电矢量变化是否可以改善自动 VT 和 SWCT 分类。
更新日期:2021-09-25
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