Search results for "Informatics"
showing 10 items of 2542 documents
Microcirculatory dysfunction in sepsis: a pathogenetic basis for therapy?
2000
Sepsis is a frequent complication of multiple organ dysfunction syndrome and remains a major problem of intensive care medicine. It is also a common factor in the final cause of death in hospital populations. Clinical observations, assisted by invasive monitoring techniques as well as pathological-anatomical studies, clearly indicate that microcirculatory dysfunction lies at the centre of sepsis pathogenesis. Numerous animal models, from rodents to primates, many of which employ bacteria or their toxins, especially endotoxins, have helped to shed light on the pathomechanisms leading to this dysregulation in the peripheral circulation. Among these are activation of humoral and cellular infla…
Dental anatomy portrayed with microscopic volume investigations
1993
The clinical treatment of the root canal of teeth--called endodontics--assumes a precise idea of the spatial arrangement of the anatomy of teeth and their inner structure. By using computer-assisted data acquisition from filmed sequences of histologic serial sections and a special kind of magnetic resonance microscope--the Stray Field Imaging (STRAFI)--volume investigations were carried out using special functions of a newly developed 3D software. Possible applications and future perspectives are discussed.
A multi-sensor multi-rate algorithm for motor rehabilitation with Augmented Reality devices
2016
Using Augmented Reality (AR) could offer stimuli to rehabilitation from neuro-motor disorders, since the patient can be aided in a better known reality than Virtual Reality (VR). The main goal for an AR system is to achieve a good quality of tracking the real object to align with virtual contents. Often a single sensor could not provide enough information to that end due to a low updating rate; therefore joining an other high updating rate sensor could be indispensable, but how to combine data from different sensors especially when they work all at different rates? In this paper an approach based on recursive parameter estimation, focusing on multi-rate tracking in AR devices is suggested. …
Preface to Data Mining in Biomedical Informatics and Healthcare
2013
Sharing With Care - Multidisciplinary Teams and Secure Access to Electronic Health Records
2018
Published: Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies Vol 5 2018
The Steps of User-Centered Design in Health Information Technology Development: Recommendations from a PhD Research Study
2016
This study was carried out to explore the steps of User-centered Design in development of health information technology. The technology was developed in two research projects: the European Union project United4Health that created a collaborative telemedicine system for remote monitoring of Chronic Obstructive Pulmonary Disease and the Southern Norway regional project eHealth-extended Care Coordination that built an information system for coordination in inter-municipal health care teams. In both projects, the end-users were involved as active contributors in a User-centered Design process spanning from idea-generation until final deployment stages. This paper presents the steps in the User-…
USEDAT: USA-Europe Data Analysis Training Worldwide Program, 2019 ed.
2019
USA-Europe Data Analysis Training School (USEDAT) is a Multi-center Trans-Atlantic initiative offering hands-on training focused in both Introduction to Experimental Data Recording (NMR, MS, IR, 2DGE, EEG, etc.) and/or posterior Computational Data Analysis (Machine Learning, Complex Networks, etc.). We made emphasis on applications in for Cheminformatics, Bioinformatics, Medicinal Chemistry, Nanotechnology, Systems Biology, Biomedical Engineering, etc. The school also promotes training and knowledge of ethical and legal regulatory issues (GDPR, REACH, OECD, FDA, etc.) about data use and data protection in chemistry and biomedical research. The school is directed to researchers and students …
Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques
2021
A correct food tray sealing is required to preserve food properties and safety for consumers. Traditional food packaging inspections are made by human operators to detect seal defects. Recent advances in the field of food inspection have been related to the use of hyperspectral imaging technology and automated vision-based inspection systems. A deep learning-based approach for food tray sealing fault detection using hyperspectral images is described. Several pixel-based image fusion methods are proposed to obtain 2D images from the 3D hyperspectral image datacube, which feeds the deep learning (DL) algorithms. Instead of considering all spectral bands in region of interest around a contamin…
The International Guideline Evaluation Screening Tool (IGEST): development and validation.
2022
Abstract Background Guideline adaptation provides an important alternative to de novo guideline development by making the process more efficient and reducing unnecessary duplication. The quality evaluation of international guidelines is an essential part of the adaptation process. The study aims at describing the development and validation of a new tool to screen trustworthy Clinical Practice Guidelines (CPGs) for their adoption/adaption: the International Guideline Evaluation Screening Tool (IGEST). Methods The process of developing the IGEST involved two main phases: 1) tool development and 2) content validation. The tool development phase comprised three stages, where the scope of the IG…