Identification of supraventricular tachycardia mechanisms with surface electrocardiograms using a convolutional neural network

BACKGROUND: It remains difficult to definitively distinguish supraventricular tachycardia (SVT) mechanisms using a 12-lead electrocardiogram (ECG) alone. Machine learning may identify visually imperceptible changes on 12-lead ECGs and may improve ability to determine SVT mechanisms. OBJECTIVE: We so...

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Detalles Bibliográficos
Autores principales: Higuchi, Satoshi, Li, Roland, Gerstenfeld, Edward P., Liem, L. Bing, Im, Sung Il, Kalantarian, Shadi, Ansari, Minhaj, Abreau, Sean, Barrios, Joshua, Scheinman, Melvin M., Tison, Geoffrey H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Clinical
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461210/
https://www.ncbi.nlm.nih.gov/pubmed/37645266
http://dx.doi.org/10.1016/j.hroo.2023.07.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461210/
https://www.ncbi.nlm.nih.gov/pubmed/37645266
http://dx.doi.org/10.1016/j.hroo.2023.07.004

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