Browsing by Author "Kramer-Johansen, Jo"

Now showing items 1-4 of 4

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      A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions 

      Isasi Liñero, Iraia; Irusta Zarandona, Unai; Elola Artano, Andoni; Aramendi Ecenarro, Elisabete; Ayala Fernández, Unai; Alonso, Erik ORCID; Kramer-Johansen, Jo; Eftestøl, Trygve (IEEE, 2019-06)
      Goal: Accurate shock decision methods during piston-driven cardiopulmonary resuscitation (CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The best current methods are computationally ...
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      A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions 

      Isasi Liñero, Iraia; Irusta Zarandona, Unai; Aramendi Ecenarro, Elisabete; Ayala Fernández, Unai; Alonso, Erik ORCID; Kramer-Johansen, Jo; Eftestøl, Trygve (IEEE, 2019-01)
      Goal: An accurate rhythm analysis during cardiopulmonary resuscitation (CPR) would contribute to increase the survival from out-of-hospital cardiac arrest. Piston-driven mechanical compression devices are frequently used ...
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      Automatic Cardiac Rhythm Classification with Concurrent Manual Chest Compressions 

      Isasi Liñero, Iraia; Irusta Zarandona, Unai; Bahrami Rad, Ali; Aramendi Ecenarro, Elisabete; Zabihi, Morteza; Eftestøl, Trygve; Kramer-Johansen, Jo; Wik, Lars (IEEE, 2019-08-13)
      Electrocardiogram (EKG) based classification of out-of-hospital cardiac arrest (OHCA) rhythms is important to guide treatment and to retrospectively elucidate the effects of therapy on patient response. OHCA rhythms are ...
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      Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators 

      Figuera, Carlos; Irusta Zarandona, Unai; Morgado, Eduardo; Aramendi Ecenarro, Elisabete; Ayala Fernández, Unai; Wik, Lars; Kramer-Johansen, Jo; Eftestøl, Trygve; Alonso Atienza, Felipe (Public Library Science, 2016-07-21)
      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 ...