Journal
Annals of noninvasive electrocardiology
Publication Date
1-1-2023
Volume
28
Issue
1
First Page
e13018
Document Type
Open Access Publication
DOI
10.1111/anec.13018
Rights and Permissions
Kashou, A. H., LoCoco, S., Shaikh, P. A., Katbamna, B. B., Sehrawat, O., Cooper, D. H., Sodhi, S. S., Cuculich, P. S., Gleva, M. J., Deych, E., Zhou, R., Liu, L., Deshmukh, A. J., Asirvatham, S. J., Noseworthy, P. A., DeSimone, C. V., & May, A. M. (2023). Computerized electrocardiogram data transformation enables effective algorithmic differentiation of wide QRS complex tachycardias. Annals of Noninvasive Electrocardiology, 28, e13018. https://doi.org/10.1111/anec.13018 © 2022 The Authors. Annals of Noninvasive Electrocardiology published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Recommended Citation
Kashou, Anthony H; LoCoco, Sarah; Shaikh, Preet A; Katbamna, Bhavesh B; Sehrawat, Ojasav; Cooper, Daniel H; Sodhi, Sandeep S; Cuculich, Phillip S; Gleva, Marye J; Deych, Elena; Zhou, Ruiwen; Liu, Lei; Deshmukh, Abhishek J; Asirvatham, Samuel J; Noseworthy, Peter A; DeSimone, Christopher V; and May, Adam M, "Computerized electrocardiogram data transformation enables effective algorithmic differentiation of wide QRS complex tachycardias." Annals of noninvasive electrocardiology. 28, 1. e13018 (2023).
https://digitalcommons.wustl.edu/oa_4/2547
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
