Dataset and analysis of automated and manual methods to differentiate wide QRS complex tachycardias

Authors

Sarah LoCoco, Washington University School of Medicine in St. Louis
Anthony H Kashou, Mayo Clinic
Abhishek J Deshmukh, Mayo Clinic
Samuel J Asirvatham, Mayo Clinic
Christopher V DeSimone, Mayo Clinic
Krasimira M Mikhova, Washington University School of Medicine in St. Louis
Sandeep S Sodhi, Washington University School of Medicine in St. Louis
Phillip S Cuculich, Washington University School of Medicine in St. Louis
Rugheed Ghadban, Washington University School of Medicine in St. Louis
Daniel H Cooper, Washington University School of Medicine in St. Louis
Thomas M Maddox, Washington University School of Medicine in St. Louis
Peter A Noseworthy, Mayo Clinic
Adam M May, Washington University School of Medicine in St. Louis

Journal

Data in Brief

Publication Date

2-1-2025

Volume

58

First Page

111198

Document Type

Open Access Publication

DOI

10.1016/j.dib.2024.111198

Rights and Permissions

LoCoco S, Kashou AH, Deshmukh AJ, Asirvatham SJ, DeSimone CV, Mikhova KM, Sodhi SS, Cuculich PS, Ghadban R, Cooper DH, Maddox TM, Noseworthy PA, May AM. Dataset and analysis of automated and manual methods to differentiate wide QRS complex tachycardias. Data Brief. 2024 Dec 3;58:111198. doi: 10.1016/j.dib.2024.111198. © 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Recommended Citation

LoCoco, Sarah; Kashou, Anthony H; Deshmukh, Abhishek J; Asirvatham, Samuel J; DeSimone, Christopher V; Mikhova, Krasimira M; Sodhi, Sandeep S; Cuculich, Phillip S; Ghadban, Rugheed; Cooper, Daniel H; Maddox, Thomas M; Noseworthy, Peter A; and May, Adam M, "Dataset and analysis of automated and manual methods to differentiate wide QRS complex tachycardias." Data in Brief. 58, 111198 (2025).
https://digitalcommons.wustl.edu/oa_4/5497

Department

ICTS (Institute of Clinical and Translational Sciences)