The ventricular tachycardia prediction model: Derivation and validation data

Anthony H. Kashou; Christopher V. DeSimone; David O. Hodge; Rickey Carter; Grace Lin; Samuel J. Asirvatham; Peter A. Noseworthy; Abhishek J. Deshmukh; Adam M. May

doi:10.1016/j.dib.2020.105515

The ventricular tachycardia prediction model: Derivation and validation data

Anthony H. Kashou, Christopher V. DeSimone, David O. Hodge, Rickey Carter, Grace Lin, Samuel J. Asirvatham, Peter A. Noseworthy, Abhishek J. Deshmukh, Adam M. May

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Original language	English (US)
Article number	105515
Journal	Data in Brief
Volume	30
DOIs	https://doi.org/10.1016/j.dib.2020.105515
State	Published - Jun 2020

Keywords

Computerized electrocardiogram interpretation
Electrocardiogram
Supraventricular tachycardia
Ventricular tachycardia
Wide complex tachycardia

ASJC Scopus subject areas

General

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10.1016/j.dib.2020.105515

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title = "The ventricular tachycardia prediction model: Derivation and validation data",

abstract = "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.",

keywords = "Computerized electrocardiogram interpretation, Electrocardiogram, Supraventricular tachycardia, Ventricular tachycardia, Wide complex tachycardia",

author = "Kashou, {Anthony H.} and DeSimone, {Christopher V.} and Hodge, {David O.} and Rickey Carter and Grace Lin and Asirvatham, {Samuel J.} and Noseworthy, {Peter A.} and Deshmukh, {Abhishek J.} and May, {Adam M.}",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s)",

year = "2020",

month = jun,

doi = "10.1016/j.dib.2020.105515",

language = "English (US)",

volume = "30",

journal = "Data in Brief",

issn = "2352-3409",

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TY - JOUR

T1 - The ventricular tachycardia prediction model

T2 - Derivation and validation data

AU - Kashou, Anthony H.

AU - DeSimone, Christopher V.

AU - Hodge, David O.

AU - Carter, Rickey

AU - Lin, Grace

AU - Asirvatham, Samuel J.

AU - Noseworthy, Peter A.

AU - Deshmukh, Abhishek J.

AU - May, Adam M.

PY - 2020/6

Y1 - 2020/6

N2 - 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.

AB - 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.

KW - Computerized electrocardiogram interpretation

KW - Electrocardiogram

KW - Supraventricular tachycardia

KW - Ventricular tachycardia

KW - Wide complex tachycardia

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VL - 30

JO - Data in Brief

JF - Data in Brief

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ER -

The ventricular tachycardia prediction model: Derivation and validation data

Abstract

Keywords

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