Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Trygve Eftestøl"'
Publikováno v:
Resuscitation Plus, Vol 18, Iss , Pp 100611- (2024)
Background: A defibrillator should be connected to all patients receiving cardiopulmonary resuscitation (CPR) to allow early defibrillation. The defibrillator will collect signal data such as the electrocardiogram (ECG), thoracic impedance and end-ti
Externí odkaz:
https://doaj.org/article/55078aab193b479892aad4fc418099bb
Publikováno v:
Bioengineering, Vol 11, Iss 9, p 909 (2024)
The most prevalent form of bladder cancer is urothelial carcinoma, characterized by a high recurrence rate and substantial lifetime treatment costs for patients. Grading is a prime factor for patient risk stratification, although it suffers from inco
Externí odkaz:
https://doaj.org/article/e1592ab5f87e445d816affe9f5c287a6
Autor:
Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Solveig H. Haaland, Benjamin Kamala, Paschal Mdoe, Hussein Kidanto, Hege Ersdal
Publikováno v:
BioMedical Engineering OnLine, Vol 20, Iss 1, Pp 1-20 (2021)
Abstract 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. Assessment of the fet
Externí odkaz:
https://doaj.org/article/2de0a98326414c48a3d8a758790dc28b
Publikováno v:
European Journal of Radiology Open, Vol 8, Iss , Pp 100387- (2021)
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. The TPM was compared with three s
Externí odkaz:
https://doaj.org/article/785928f0183749bfa5d127eea42bb19c
Autor:
Rune Wetteland MS, Kjersti Engan PhD, Trygve Eftestøl PhD, Vebjørn Kvikstad MD, Emiel A. M. Janssen PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 19 (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 samples called whole-slide image
Externí odkaz:
https://doaj.org/article/085bdf798d5642988435271f42ae12c8
Autor:
Magnus Bjørkavoll‐Bergseth, Øyunn Kleiven, Bjørn Auestad, Trygve Eftestøl, Kay Oskal, Martin Nygård, Øyvind Skadberg, Kristin Moberg Aakre, Tor Melberg, Knut Gjesdal, Stein Ørn
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 9, Iss 4 (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 using sports watch data fro
Externí odkaz:
https://doaj.org/article/5056c66e1cab46ccba823c585e4fb0fa
Autor:
Artzai Picon, Unai Irusta, Aitor Álvarez-Gila, Elisabete Aramendi, Felipe Alonso-Atienza, Carlos Figuera, Unai Ayala, Estibaliz Garrote, Lars Wik, Jo Kramer-Johansen, Trygve Eftestøl
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0216756 (2019)
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 ventricular fibrillation (V
Externí odkaz:
https://doaj.org/article/52ea6fe2aed943c9a56599c05b0085f2
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 6 (2019)
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 pectoris and no significant coro
Externí odkaz:
https://doaj.org/article/7987cdcfef7f45c1abf68e49dab3846f
Publikováno v:
Entropy, Vol 22, Iss 6, p 595 (2020)
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 an algorithm to produce reli
Externí odkaz:
https://doaj.org/article/32d8805c11794e5fa75c3b79a507212e
Autor:
Carlos Figuera, Unai Irusta, Eduardo Morgado, Elisabete Aramendi, Unai Ayala, Lars Wik, Jo Kramer-Johansen, Trygve Eftestøl, Felipe Alonso-Atienza
Publikováno v:
PLoS ONE, Vol 11, Iss 7, p e0159654 (2016)
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 VF-detection are customarily
Externí odkaz:
https://doaj.org/article/8d5784b0a2ce43428ab592f01633f1d2