The ventricular tachycardia prediction model: Derivation and validation data

In a recent publication [1], we introduced and described a novel means (i.e. VT Prediction Model) to correctly categorize wide complex tachycardias (WCTs) into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) using routine measurements shown on electrocardiogram (ECG...

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Detalles Bibliográficos
Autores principales: Kashou, Anthony H., DeSimone, Christopher V., Hodge, David O., Carter, Rickey, Lin, Grace, Asirvatham, Samuel J., Noseworthy, Peter A., Deshmukh, Abhishek J., May, Adam M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Medicine and Dentistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200856/
https://www.ncbi.nlm.nih.gov/pubmed/32382594
http://dx.doi.org/10.1016/j.dib.2020.105515
Descripción
Sumario:In a recent publication [1], we introduced and described a novel means (i.e. VT Prediction Model) to correctly categorize wide complex tachycardias (WCTs) into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) using routine measurements shown on electrocardiogram (ECG) paper recordings. In this article, we summarize data components relating to the derivation and validation of the VT Prediction Model.

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