• An automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodes 

      Rad, Ali Bahrami; Eftestøl, Trygve Christian; Irusta, Unai; Kvaløy, Jan Terje; Wik, Lars; Kramer-Johansen, Jo; Katsaggelos, Aggelos K.; Engan, Kjersti (Journal article; Peer reviewed, 2018)
      AIM: An automatic resuscitation rhythm annotator (ARA) would facilitate and enhance retrospective analysis of resuscitation data, contributing to a better understanding of the interplay between therapy and patient response. ...
    • Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions 

      Isasi, Iraia; Irusta, Unai; Rad, Ali Bahrami; Aramendi, Elisabete; Zabihi, Morteza; Eftestøl, Trygve Christian; Kramer-Johansen, Jo; Wik, Lars (Journal article; Peer reviewed, 2019-08)
      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 ...
    • Fetal heart rate development during labour 

      Urdal, Jarle; Engan, Kjersti; Eftestøl, Trygve Christian; Haaland, Solveig H.; Kamala, Benjamin; Mdoe, Paschal Francis; Kidanto, Hussein; Ersdal, Hege (Journal article; Peer reviewed, 2021-03)
      Background Fresh stillbirths (FSB) and very early neonatal deaths (VEND) are important global challenges with 2.6 million deaths annually. The vast majority of these deaths occur in low- and low-middle income countries. ...
    • Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks 

      Isasi, Iraia; Irusta, Unai; Aramendi, Elisabete; Eftestøl, Trygve Christian; Kramer-Johansen, Jo; Wik, Lars (Peer reviewed; Journal article, 2020-05)
      Chest compressions during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG that may provoque inaccurate rhythm classification by the algorithm of the defibrillator. The objective of this study was to design ...