Dataset and Analysis of Automated and Manual Methods to Differentiate Wide QRS Complex Tachycardias
收藏科学数据银行2024-10-29 更新2026-04-23 收录
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资源简介：
A recent publication (LoCoco et al., 2024) compared the diagnostic performance between traditional manual ECG interpretation approaches (i.e. Brugada, Vereckei aVR, and VT Score) to novel automated wide QRS complex tachycardia differentiation algorithms (i.e. WCT Formula I, WCT Formula II, VT Prediction Model, Solo Model, and Paired Model). In this article, a summary of data components relating to diagnostic performance of the methods tested is presented.
提供机构：
Washington University in St. Louis
创建时间：
2024-10-29
