Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators

Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for VF-detection are customarily assessed using Holter recordings from public elec...

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Detalles Bibliográficos
Autores principales: Figuera, Carlos, Irusta, Unai, Morgado, Eduardo, Aramendi, Elisabete, Ayala, Unai, Wik, Lars, Kramer-Johansen, Jo, Eftestøl, Trygve, Alonso-Atienza, Felipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4956226/
https://www.ncbi.nlm.nih.gov/pubmed/27441719
http://dx.doi.org/10.1371/journal.pone.0159654

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4956226/
https://www.ncbi.nlm.nih.gov/pubmed/27441719
http://dx.doi.org/10.1371/journal.pone.0159654

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