Blar i UiS Brage på forfatter "Eftestøl, Trygve Christian"
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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 Multiscale Approach for Whole-Slide Image Segmentation of five Tissue Classes in Urothelial Carcinoma Slides
Wetteland, Rune; Engan, Kjersti; Eftestøl, Trygve Christian; Janssen, Emiel; Kvikstad, Vebjørn (Peer reviewed; Journal article, 2020)In pathology labs worldwide, we see an increasing number of tissue samples that need to be assessed without the same increase in the number of pathologists. Computational pathology, where digital scans of histological ... -
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) -
Pulseless electrical activity in in-hospital cardiac arrest – A crossroad for decisions
Norvik, Anders; Unneland, Eirik; Bergum, Daniel; Buckler, D.G.; Bhardwaj, A.; Eftestøl, Trygve Christian; Aramendi, E.; Nordseth, Trond; Abella, B.S.; Kvaløy, Jan Terje; Skogvoll, Eirik (Peer reviewed; Journal article, 2022)Background PEA is often seen during resuscitation, either as the presenting clinical state in cardiac arrest or as a secondary rhythm following transient return of spontaneous circulation (ROSC), ventricular fibrillatio ... -
Recurrent Neural Networks for Artifact Correction in HRV Data During Physical Exercise
Svane, Jakob; Wiktorski, Tomasz; Ørn, Stein; Eftestøl, Trygve Christian (Peer reviewed; Journal article, 2023)In this paper, we propose the use of recurrent neural networks (RNNs) for artifact correction and analysis of heart rate variability (HRV) data. HRV can be a valuable metric for determining the function of the heart and ... -
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 ... -
Signal processing of EEG data and AI assisted classification of emotional responses based on visual stimuli
Gjerde, Martin (Master thesis, 2023)This report outlines the research conducted to explore on the topic of classification of human neurological data using machine learning models. The primary objective was to investigate alternative approaches for efficiently ... -
State transition modeling of complex monitored health data
Schulz, Jörn; Kvaløy, Jan Terje; Engan, Kjersti; Eftestøl, Trygve Christian; Jatosh, Samwel; Hussein, Kidanto; Ersdal, Hege Langli (Peer reviewed; Journal article, 2019)This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set ... -
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. ... -
Timeline-representation: Et verktøy for visualisering av tidslinjer i Python
Bjørge, Daniel; Kristensen, Anders Thengs (Bachelor thesis, 2021)Gruppen fikk tildelt en oppgave hvor formålet var ˚a utvikle et program som kunne visualisere medisinsk data ved hjelp av tidslinjer. Programmet skulle lages i Python, men gruppen sto fritt til ˚a velge hvilke moduler som ... -
Utvikling av pythonbasert grafisk brukergrensesnitt for håndtering av data fra COVID19- pasienter
Wijeyaraj, Withya; Isene, Nesbø Ingrid (Bachelor thesis, 2021)One of the most significant threats associated with COVID-19 is the increase in hospital admission. The primary study gathering the data was integral as the basis of this thesis. The study investigates whether using ... -
Utvikling av pythonbasert grafisk brukergrensesnitt for håndtering av data fra COVID19- pasienter
Isene, Ingrid Nesbø; Wijeyaraj, Withya (Bachelor thesis, 2021)One of the most significant threats associated with COVID-19 is the increase in hospital admission. The primary study gathering the data was integral as the basis of this thesis. The study investigates whether using ... -
Vision transformers for small histological datasets learned through knowledge distillation
Kanwal, Neel; Eftestøl, Trygve Christian; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Engan, Kjersti (Chapter, 2023)Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks. However, the artifacts on the digitized histological glass slides, known as Whole Slide Images (WSIs), may hamper the overall performance ...