Now showing items 1-6 of 6
Machine learning techniques for the detection of shockable rhythms in automated external defibrillators
(Journal article; Peer reviewed, 2016-07)
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 ...
Chest compressions: The good, the bad and the ugly
(Journal article, 2012)
Where exactly is the chest compression, where does it begin, when does it end, how deep does it go and at what rate are they performed? In short – how good or bad is the chest compression? These are some of the questions ...
Probability mapping of scarred myocardium using texture and intensity features in CMR images
(Journal article, 2013)
Classifying dementia using local binary patterns from different regions in magnetic resonance images
(Journal article; Peer reviewed, 2015)
Dementia is an evolving challenge in society, and no disease-modifying treatment exists. Diagnosis can be demanding and MR imaging may aid as a noninvasive method to increase prediction accuracy. We explored the use of ...
Defining angular and radial positions and parameters for myocardial pixels in cardiac MR images
(Journal article; Peer reviewed, 2014)
In this work we aimed to automatically produce a measure for the angular and radial position of all pixels within the myocardium in CMR images, left ventricle, short axis view. A reference axis is chosen in an anatomically ...
Rhythm analysis during cardiopulmonary resuscitation: past, present, and future
(Journal article; Peer reviewed, 2014-01)
Survival from out-of-hospital cardiac arrest depends largely on two factors: early cardiopulmonary resuscitation (CPR) and early defibrillation. CPRmust be interrupted for a reliable automated rhythmanalysis because chest ...