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Machine Learning Approach to Predict Ventricular Fibrillation Based on QRS Complex Shape

Early prediction of the occurrence of ventricular tachyarrhythmia (VTA) has a potential to save patients’ lives. VTA includes ventricular tachycardia (VT) and ventricular fibrillation (VF). Several studies have achieved promising performances in predicting VT and VF using traditional heart rate vari...

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Detalles Bibliográficos
Autores principales: Taye, Getu Tadele, Shim, Eun Bo, Hwang, Han-Jeong, Lim, Ki Moo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764170/
https://www.ncbi.nlm.nih.gov/pubmed/31616311
http://dx.doi.org/10.3389/fphys.2019.01193

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