Blar i Vitenskapelige publikasjoner (TN-IDE) på forfatter "Ayala, Unai"

Viser treff 1-3 av 3

    • Machine learning techniques for the detection of shockable rhythms in automated external defibrillators 

      Figuera, Carlos; Irusta, Unai; Morgado, Eduardo; Aramendi, Elisabete; Ayala, Unai; Wik, Lars; Kramer-Johansen, Jo; Eftestøl, Trygve; Alonso-Atienza, Felipe (Journal article; Peer reviewed, 2016-07)
      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 ...

    • Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia 

      Picon, Artzai; Irusta, Unai; Alvarez-Gila, Aitor; Aramendi, Elisabete; Alonso-Atienza, Felipe; Figuera, Carlos; Ayala, Unai; Garrote, Estibaliz; Wik, Lars; Kramer-Johansen, Jo; Eftestøl, Trygve Christian (Journal article; Peer reviewed, 2019-05)
      Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ...

    • Rhythm analysis during cardiopulmonary resuscitation: past, present, and future 

      Ruiz de Gauna, Sofia; Irusta, Unai; Ruiz, Jesus; Ayala, Unai; Aramendi, Elisabete; Eftestøl, Trygve (Journal article; Peer reviewed, 2014-01)
      Survival from out-of-hospital cardiac arrest depends largely on two factors: early cardiopulmonary resuscitation (CPR) and early defibrillation. CPRmust be interrupted for a reliable automated rhythmanalysis because chest ...