• 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 ...
    • Automatic diagnostic tool for predicting cancer grade in bladder cancer patients using deep learning 

      Wetteland, Rune; Engan, Kjersti; Eftestøl, Trygve Christian; Kvikstad, Vebjørn; Janssen, Emiel; Tøssebro, Erlend; Lillesand, Melinda (Peer reviewed; Journal article, 2021-08)
      The most common type of bladder cancer is urothelial carcinoma, which is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ...
    • Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectoris 

      Khanmohammadi, Mahdieh; Sæland, Charlotte; Engan, Kjersti; Eftestøl, Trygve Christian; Larsen, Alf Inge (Journal article; Peer reviewed, 2019-01)
      Aim: Our aim was to automatically estimate the blood velocity in coronary arteries using cine X-ray angiographic sequence. Estimating the coronary blood velocity is a key approach in investigating patients with angina ...
    • 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. ...
    • 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 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 ...
    • Texture-based probability mapping for automatic scar assessment in late gadolinium-enhanced cardiovascular magnetic resonance images 

      Frøysa, Vidar; Berg, Gøran Jansson; Eftestøl, Trygve Christian; Woie, Leik; Ørn, Stein (Peer reviewed; Journal article, 2021-12)
      Purpose To evaluate a novel texture-based probability mapping (TPM) method for scar size estimation in LGE-CMRI. Methods This retrospective proof-of-concept study included chronic myocardial scars from 52 patients. ...