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

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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Bibliographic Details
Main Authors: Carlos Figuera, Unai Irusta, Eduardo Morgado, Elisabete Aramendi, Unai Ayala, Lars Wik, Jo Kramer-Johansen, Trygve Eftestøl, Felipe Alonso-Atienza
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4956226?pdf=render

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http://europepmc.org/articles/PMC4956226?pdf=render

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