PostStroke-Manager is a patient-oriented digital system, which utilizes every-day means of communication to facilitate a coordinated long-term care of stroke-victims. The system is conceived as complementary to the existing stroke-pilot system (Schlaganfall-Lotsen). While the stroke-pilot program takes care of patients during the first year after an acute incident, PostStroke-Manager takes over one year after an incident to guarantee long-term aftercare. In Regions where no stroke-pilot is available PostStroke-Manager can fill the gap and provide support immediately after the incident.
The PostStroke-Manager is designed to integrate patients, general practitioners and stroke-pilots into one easy-to-use platform for communication and information exchange. It serves as the base for innovative digital services, new ways to provide care and a structured disease management program for stroke-related illness. More information about the project can be found here: https://biomedical-data-science.org/poststroke-manager/
STEADY is an interdisciplinary project, which is intended to contribute to the development of innovative digital therapies particularly for patients with major depressive disorder. The goal is to realize a sensor-based self management system. More information about the project can be found here: https://biomedical-data-science.org/steady/.
OpenWalnut is an open source tool for multimodal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of applications. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. OpenWalnut is licensed under the terms of the GNU Lesser General Public License version 3. Written entirely in Standard C++ and using a number of portable libraries (e.g. Qt, Boost and OpenSceneGraph) it runs on common GNU/Linux operating systems, macOS, and Windows. For more information, including system requirements, see the OpenWalnut Wiki.
Application of (portable) sensors for inter-sectoral monitoring – an evaluation study
Mobile and portable sensors are becoming increasingly important in medicine and research. The rapid growth of medical biotechnologies during the last few years led to a plethora of entirely new health-related devices and data-sets. This study is concerned with determining the conditions required to reliably operate (portable) sensor devices in a manner that the data is of sufficient quality for applications in medical research and practice. The evaluation study is led by Prof. Dr.-Ing. Galina Ivanova from the Biomedical Data & System Science Group (InfAI/BDSS) together with Prof. Dr. med. habil. Dominik Michalski from the Clinic and Poly-Clinic for Neurology at the University Hospital Leipzig.