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

• Carlos Figuera ,

  * E-mail: carlos.figuera@urjc.es

  Affiliation Department of Telecommunication Engineering, Universidad Rey Juan Carlos, Madrid, Spain

  http://orcid.org/0000-0002-2728-3552

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• Unai Irusta,

  Affiliation Department of Communication Engineering, University of the Basque Country UPV/EHU, Bilbao, Spain

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• Eduardo Morgado,

  Affiliation Department of Telecommunication Engineering, Universidad Rey Juan Carlos, Madrid, Spain

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• Elisabete Aramendi,

  Affiliation Department of Communication Engineering, University of the Basque Country UPV/EHU, Bilbao, Spain

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• Unai Ayala,

  Affiliation Electronics and Computing Department, University of Mondragon, Mondragon, Spain

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• Lars Wik,

  Affiliation Norwegian National Advisory Unit on Prehospital Emergency Medicine (NAKOS), Oslo University Hospital and University of Oslo, Oslo, Norway

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• Jo Kramer-Johansen,

  Affiliation Norwegian National Advisory Unit on Prehospital Emergency Medicine (NAKOS), Oslo University Hospital and University of Oslo, Oslo, Norway

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• Trygve Eftestøl,

  Affiliation Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway

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• Felipe Alonso-Atienza

  Affiliation Department of Telecommunication Engineering, Universidad Rey Juan Carlos, Madrid, Spain

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