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.
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.