Development and Validation of an Automated Algorithm to Detect Atrial Fibrillation Within Stored Intensive Care Unit Continuous Electrocardiographic Data: Observational Study

BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia during critical illness, representing a sepsis-defining cardiac dysfunction associated with adverse outcomes. Large burdens of premature beats and noisy signal during sepsis may pose unique challenges to automated AF detection. OBJEC...

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Detalles Bibliográficos
Autores principales: Walkey, Allan J, Bashar, Syed K, Hossain, Md Billal, Ding, Eric, Albuquerque, Daniella, Winter, Michael, Chon, Ki H, McManus, David D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411425/
https://www.ncbi.nlm.nih.gov/pubmed/33587041
http://dx.doi.org/10.2196/18840

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411425/
https://www.ncbi.nlm.nih.gov/pubmed/33587041
http://dx.doi.org/10.2196/18840

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