Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm

AIMS: Paroxysmal supraventricular tachycardia (PSVT) is not detected owing to its paroxysmal nature, but it is associated with the risk of cardiovascular disease and worsens the patient quality of life. A deep learning model (DLM) was developed and validated to identify patients with PSVT during nor...

Descripción completa

Detalles Bibliográficos
Autores principales: Jo, Yong-Yeon, Kwon, Joon-Myoung, Jeon, Ki-Hyun, Cho, Yong-Hyeon, Shin, Jae-Hyun, Lee, Yoon-Ji, Jung, Min-Seung, Ban, Jang-Hyeon, Kim, Kyung-Hee, Lee, Soo Youn, Park, Jinsik, Oh, Byung-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707886/
https://www.ncbi.nlm.nih.gov/pubmed/36712389
http://dx.doi.org/10.1093/ehjdh/ztab025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707886/
https://www.ncbi.nlm.nih.gov/pubmed/36712389
http://dx.doi.org/10.1093/ehjdh/ztab025

Ejemplares similares