Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator

BACKGROUND: Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ECGs. In out‐of‐hospital cardiac arrest, an algorithm within an automated external defib...

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Detalles Bibliográficos
Autores principales: Shen, Christine P., Freed, Benjamin C., Walter, David P., Perry, James C., Barakat, Amr F., Elashery, Ahmad Ramy A., Shah, Kevin S., Kutty, Shelby, McGillion, Michael, Ng, Fu Siong, Khedraki, Rola, Nayak, Keshav R., Rogers, John D., Bhavnani, Sanjeev P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227259/
https://www.ncbi.nlm.nih.gov/pubmed/36942628
http://dx.doi.org/10.1161/JAHA.122.026974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227259/
https://www.ncbi.nlm.nih.gov/pubmed/36942628
http://dx.doi.org/10.1161/JAHA.122.026974

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