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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Dettagli Bibliografici
Pubblicato in:PLoS One
Autori principali: Figuera, Carlos, Irusta, Unai, Morgado, Eduardo, Aramendi, Elisabete, Ayala, Unai, Wik, Lars, Kramer-Johansen, Jo, Eftestøl, Trygve, Alonso-Atienza, Felipe
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2016
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4956226/
https://ncbi.nlm.nih.gov/pubmed/27441719
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0159654
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