Single-lead arrhythmia detection through machine learning: cross-sectional evaluation of a novel algorithm using real-world data

BACKGROUND: Computer-assisted interpretation of single-lead ECG is the preliminary method for clinicians to flag and further evaluate an arrhythmia of clinical importance for acutely ill patients. Critical scrutiny of novel detection algorithms is lacking, particularly in external real-world data se...

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Detalles Bibliográficos
Autores principales: Mitchell, Henry, Rosario, Nicole, Hernandez, Carme, Lipsitz, Stuart R, Levine, David M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Arrhythmias and Sudden Death
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514635/
https://www.ncbi.nlm.nih.gov/pubmed/37734747
http://dx.doi.org/10.1136/openhrt-2022-002228

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514635/
https://www.ncbi.nlm.nih.gov/pubmed/37734747
http://dx.doi.org/10.1136/openhrt-2022-002228

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