Cristin-person-ID: 25795
Person

Trygve Christian Eftestøl

  • Stilling:
    Professor
    ved Institutt for data- og elektroteknologi ved Universitetet i Stavanger

Resultater Resultater

Extracting physiologic and clinical data from defibrillators for research purposes to improve treatment for patients in cardiac arrest.

Nordseth, Trond; Eftestøl, Trygve Christian; Aramendi, Elisabete; Kvaløy, Jan Terje; Skogvoll, Eirik. 2024, Resuscitation Plus. UdPVHU, STOLAV, NTNU, OUS, UISVitenskapelig oversiktsartikkel/review

Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrest.

Urteaga, Jon; Elola, Andoni; Norvik, Anders; Unneland, Eirik; Eftestøl, Trygve Christian; Bhardwaj, Abhishek; Buckler, David; Abella, Benjamin S.; Skogvoll, Eirik; Aramendi, Elisabete. 2024, Resuscitation Plus. UdPVHU, UNIVCAL, PENN, NTNU, BIO, MSSoMotCUo, UISVitenskapelig artikkel

Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images.

Fuster Navarro, Saul; Khoraminia, Farbod; Eftestøl, Trygve Christian; Zuiverloon, Tahlita C M; Engan, Kjersti. 2023, European Signal Processing Conference. EMC, UISVitenskapelig artikkel

Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction.

Svane, Jakob; Wiktorski, Tomasz; Ørn, Stein; Eftestøl, Trygve Christian. 2023, MethodsX. SUS, UISVitenskapelig artikkel

Recurrent Neural Networks for Artifact Correction in HRV Data During Physical Exercise.

Svane, Jakob; Wiktorski, Tomasz; Ørn, Stein; Eftestøl, Trygve Christian. 2023, Nordic Machine Intelligence (NMI). SUS, UISVitenskapelig artikkel
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