• 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 ...
    • The organization of controller motifs leading to robust plant iron homeostasis 

      Agafonov, Oleg; Selstø, Christina Helen; Thorsen, Kristian; Xiang, Ming Xu; Drengstig, Tormod; Ruoff, Peter (Journal article; Peer reviewed, 2016-01)
      Iron is an essential element needed by all organisms for growth and development. Because iron becomes toxic at higher concentrations iron is under homeostatic control. Plants face also the problem that iron in the soil is ...