Automated differentiation of wide QRS complex tachycardia using QRS complex polarity
Incorporating engineered parameters related to QRS polarity direction and shifts can yield effective WCT differentiation, presenting a promising approach for automated CEI algorithms.
Authors
- Ruiwen Zhou (ORCID: https://orcid.org/0009-0005-9881-3249)
- Sarah LoCoco (ORCID: https://orcid.org/0000-0003-1585-0633)
- Bhavesh B. Katbamna
- Elena Deych (ORCID: https://orcid.org/0000-0002-6083-3579)
- Rugheed Ghadban (ORCID: https://orcid.org/0000-0001-5528-8097)
- Lei Liu (ORCID: https://orcid.org/0000-0003-1844-338X)
- Thomas M. Maddox (ORCID: https://orcid.org/0000-0003-1426-9433)
- Peter A. Noseworthy (ORCID: https://orcid.org/0000-0002-4308-0456)
- Krasimira Mikhova
- Preet Ayoub Shaikh (ORCID: https://orcid.org/0000-0003-2965-0747)
- Adam M. May (ORCID: https://orcid.org/0000-0002-4120-5075)
- Anthony H. Kashou (ORCID: https://orcid.org/0000-0002-1352-0174)
- Phillip S. Cuculich (ORCID: https://orcid.org/0000-0001-8127-2240)
- Daniel Cooper (ORCID: https://orcid.org/0000-0003-4091-2517)
Institutions
- Loyola University Chicago (US)
- Washington University in St. Louis (US)
- Mayo Clinic in Arizona (US)
Publication Details
- Journal
- Communications Medicine
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1038/s43856-024-00725-2
- Citations
- 3
- Primary Topic
- Cardiac Arrhythmias and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.21