Blar i UiS Brage på forfatter "Wik, Lars"
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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 ... -
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 ... -
Multimodal biosignal analysis algorithm for the classification of cardiac rhythms during resuscitation
Lasea, Haizea; Irusta, Unai; Eftestøl, Trygve Christian; Aramendi, Elisabete; Rad, Ali Bahrami; Kramer-Johansen, Jo; Wik, Lars (Peer reviewed; Journal article, 2020)Monitoring the heart rhythm during out-of-hospital cardiac arrest (OHCA) is important to improve treatment quality. OHCA rhythms fall into five categories: asystole (AS), pulseless electrical activity (PEA), pulse-generating ... -
A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest
Eftestøl, Trygve Christian; Stokka, Svein Erik; Kvaløy, Jan Terje; Rad, Ali Bahrami; Irusta, Unai; Aramendi, Elisabete; Alonso, Erik; Nordseth, Trond; Skogvoll, Eirik; Wik, Lars; Kramer-Johansen, Jo (Peer reviewed; Journal article, 2020)Cardiopulmonary resuscitation quality (CPRQ) parameters can be derived from electric signals obtained during resuscitation. We propose to model a probabilistic relationship between CPRQ parameters and the physiological ... -
A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest
Eftestøl, Trygve Christian; Stokka, Svein Erik; Kvaløy, Jan Terje; Rad, Ali Bahrami; Irusta, Unai; Aramendi, Elisabete; Alonso, Erik; Nordseth, Trond; Skogvoll, Eirik; Wik, Lars; Kramer-Johansen, Jo (Peer reviewed; Journal article, 2020) -
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 ...