Blar i Vitenskapelige publikasjoner (TN-IDE) på emneord "VDP::Teknologi: 500::Medisinsk teknologi: 620"
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Artifact Correction in Short-Term HRV during Strenuous Physical Exercise
(Peer reviewed; Journal article, 2020-11)Heart rate variability (HRV) analysis can be a useful tool to detect underlying heart or even general health problems. Currently, such analysis is usually performed in controlled or semi-controlled conditions. Since many ... -
Automatic diagnostic tool for predicting cancer grade in bladder cancer patients using deep learning
(Peer reviewed; Journal article, 2021-08)The most common type of bladder cancer is urothelial carcinoma, which is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ... -
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke
(Peer reviewed; Journal article, 2023)Stroke is the second leading cause of death worldwide, and around 87 % of strokes are ischemic strokes. Accurate and rapid prediction techniques for identifying ischemic regions, including dead tissue (core) and potentially ... -
The devil is in the details: Whole Slide Image acquisition and processing for artifacts detection, color variation, and data augmentation: A review.
(Peer reviewed; Journal article, 2022)Whole Slide Images (WSI) are widely used in histopathology for research and the diagnosis of different types of cancer. The preparation and digitization of histological tissues leads to the introduction of artifacts and ... -
Extended approach to sum of absolute differences method for improved identification of periods in biomedical time series
(Peer reviewed; Journal article, 2020-10)Time series are a common data type in biomedical applications. Examples include heart rate, power output, and ECG. One of the typical analysis methods is to determine longest period a subject spent over a given heart rate ... -
A Low-Cost Wireless Body Area Network for Human Activity Recognition in Healthy Life and Medical Applications
(Peer reviewed; Journal article, 2023)Moved by the necessity, also related to the ongoing COVID-19 pandemic, of the design of innovative solutions in the context of digital health, and digital medicine, Wireless Body Area Networks (WBANs) are more and more ... -
Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke
(Peer reviewed; Journal article, 2021-07)Objective: Computed tomography (CT) scan is a fast and widely used modality for early assessment in patients with symptoms of a cerebral ischemic stroke. CT perfusion (CTP) is often added to the protocol and is used by ... -
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection
(Peer reviewed; Journal article, 2022-03)Time is a fundamental factor during stroke treatments. A fast, automatic approach that segmentsthe ischemic regions helps treatment decisions. In clinical use today, a set of color-coded parametric maps generated from ... -
Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction
(Peer reviewed; Journal article, 2023-09)Heart rate variability (HRV) is the variation in time between successive heartbeats and can be used as an indirect measure of autonomic nervous system (ANS) activity. During physical exercise, movement of the measuring ... -
A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest
(Peer reviewed; Journal article, 2020) -
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks
(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 ... -
Semi-supervised tissue segmentation of histological images
(Peer reviewed; Journal article, 2020-09)Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ... -
Texture-based probability mapping for automatic scar assessment in late gadolinium-enhanced cardiovascular magnetic resonance images
(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. ...