Blar i Department of Electrical and Computer Engineering (TN-IDE) på forfatter "Eftestøl, Trygve Christian"
-
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 ...