Browsing UiS Brage by Author "Eftestøl, Trygve Christian"
Now showing items 1-20 of 38
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3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI
Fernandez Quilez, Alvaro; Andersen, Christoffer Gabrielsen; Eftestøl, Trygve Christian; Kjosavik, Svein Reidar; Oppedal, Ketil (Peer reviewed; Journal article, 2023)Masked Image Modelling (MIM) has been shown to be an efficient self-supervised learning (SSL) pre-training paradigm when paired with transformer architectures and in the presence of a large amount of unlabelled natural ... -
A machine learning approach to identify regions in the myocardium with information indicative of the risk of arrhythmia in patients with previous myocardial infarction
Berg, Gøran Jansson (Master thesis, 2021) -
Alterations in the autonomic and haemodynamic response to prolonged high-intensity endurance exercise in individuals with coronary artery calcification
Svane, Jakob; Wiktorski, Tomasz; Eftestøl, Trygve Christian; Ørn, Stein (Peer reviewed; Journal article, 2024-12)Endurance exercise is associated with increased life duration and improved life quality. Paradoxically, high exercise intensity is also associated with increased coronary artery calcification (CAC) and a small but significant ... -
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. ... -
Analyse av data fra gjenoppliving av hjertestanspasienter - implementasjon i Python.
Pierzgalski, Emil; Sakow, Sebastian; Walskaar, Ivar (Bachelor thesis, 2021)I årrekker har det blitt utført forskning på hjertestanspasienter der livreddere under vanskelige forhold prøver gjenopplivning ved hjelp av hjerte-og lungeredning (HLR), defibrillator og intravenøse legemidler. Gjenopplivningen ... -
Analyse av data fra gjenoppliving av hjertestanspasienter - implementering i Python
Endresen, Morten; Nilsen, Johnny Leo; Stangeland, Vetle (Bachelor thesis, 2023)Denne bacheloroppgaven går ut på å oversette en del av en allerede utvik- let programvare for retrospektiv analyse av gjenopplivningsdata. Rapporten skal reflektere hvordan oppgaven er løst, hvilke utfordringer som oppsto ... -
Analyse av data fra gjenoppliving av hjertestanspasienter - implementering i Python
Endresen, Morten; Nilsen, Johnny Leo; Stangeland, Vetle (Bachelor thesis, 2023)Denne bacheloroppgaven går ut på å oversette en del av en allerede utviklet programvare for retrospektiv analyse av gjenopplivningsdata. Rapporten skal reflektere hvordan oppgaven er løst, hvilke utfordringer som oppsto ... -
Analysis and knowledge extraction of newborn resuscitation activities from annotation files
Abukmeil, Mohanad A M; Meinich-Bache, Øyvind; Eftestøl, Trygve Christian; Rettedal, Siren; Myklebust, Helge; Tysland, Thomas Bailey; Ersdal, Hege Langli; Mduma, Estomih; Engan, Kjersti (Peer reviewed; Journal article, 2024)Deprivation of oxygen in an infant during and after birth leads to birth asphyxia, which is considered one of the leading causes of death in the neonatal period. Adequate resuscitation activities are performed immediately ... -
Analysis of ECG from resuscitation of asphyxial neonates
Kleiveland-Hanssen, Erlend (Master thesis, 2022)Aim: Due to a high mortality rate for neonates with asphyxia in low resource countries, studies like this emerge in hope to make a difference. Electrocardiogram (ECG) data is used in this project to examine and analyze the ... -
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 ... -
Biometric Authentication from ECG Signals on Wearable Devices
Bottenvik, Vebjørn Kaldahl (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)Biometric authentication is currently being used for numerous devices; such as mobile phones, computers, etc. However, for now, the only authentication methods for wearable devices are those of passwords and pin codes. The ... -
Deep Learning-Driven Diagnostic and Prognostic Solutions for Histopathological Images of Bladder Cancer
Fuster Navarro, Saul (PhD thesis UiS;, Doctoral thesis, 2024)This thesis presents a comprehensive investigation into the development and application of advanced computational techniques for the extraction of crucial diagnostic and prognostic information from histological images of ... -
Digital Waste Management - detection technology
Holmesland, Christoffer René Haaland (Master thesis, 2021)In this thesis, the goal has been to improve the data flow from the garbage trucks in Halden municipality. We begin by designing, building, and installing a data capture unit to collect images of the collected waste. Machine ... -
Duration of elevated heart rate Is an important predictor of exercise-induced troponin elevation
Bjørkavoll-Bergseth, Magnus; Kleiven, Øyunn; Auestad, Bjørn Henrik; Eftestøl, Trygve Christian; Oskal, Kay Raymond; Nygård, Martin; Skadberg, Øyvind; Aakre, Kristin Moberg; Melberg, Tor Harald; Gjesdal, Knut; Ørn, Stein (Peer reviewed; Journal article, 2020)Background The precise mechanisms causing cardiac troponin (cTn) increase after exercise remain to be determined. The aim of this study was to investigate the impact of heart rate (HR) on exercise‐induced cTn increase by ... -
ECG Analysis of Neonatal Asphyxia
Svensson, Silja Haram (Master thesis, 2022)Birth asphyxia is one of the primary causes of neonatal death. It refers to the lack of oxygen in the gas exchange to the fetus or the blood flow of the neonate before, during, or after birth. Most of these deaths occur ... -
Factors Affecting the Course of Resuscitation From Cardiac Arrest With Pulseless Electrical Activity in Children and Adolescents
Skogvoll, Eirik; Nordseth, Trond; Sutton, Robert M.; Eftestøl, Trygve Christian; Irusta, Unai; Aramendi, Elisabete; Niles, Dana E.; Nadkarni, Vinay M.; Berg, Robert A.; Abella, Benjamin S.; Kvaløy, Jan Terje (Peer reviewed; Journal article, 2020)Background: Although in-hospital pediatric cardiac arrests and cardiopulmonary resuscitation occur >15,000/year in the US, few studies have assessed which factors affect the course of resuscitation in these patients. We ... -
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. ... -
Heart rate and QRS duration as biomarkers predict the immediate outcome from pulseless electrical activity
Norvik, Anders; Kvaløy, Jan Terje; Skjeflo, Gunnar Waage; Bergum, Daniel; Nordseth, Trond; Loennechen, Jan Pål; Unneland, Eirik; Buckler, D.G.; Bhardwaj, A.; Eftestøl, Trygve Christian; Aramendi, E.; Abella, BS.; Skogvoll, Eirik (Peer reviewed; Journal article, 2023)Introduction Pulseless electrical activity (PEA) is commonly observed in in-hospital cardiac arrest (IHCA). Universally available ECG characteristics such as QRS duration (QRSd) and heart rate (HR) may develop differently ...