The research project RehaQuantified aims to develop a mobile sensor-based Feedback and Assistance System for rehabilitation processes in domestic environments. A patient will be equipped with embedded sensors. Based on data analysis, therapy plans for rehabilitate identified diseases shall be created automatically. Furthermore, medical aspects are evaluated during therapy exercises and feedback is provided to patients in real time. In addition, the system will ensure remote supervision by therapists and physicians as medicines are allowed to monitor exercise results and adapt therapy plans accordingly.
Our research group will yield expertise in the area of self-organizing and self-governed sensor-networks. Especially applications in the context of telemedicine suffer from the broad variety of available sensors and data formats. The characteristics of the different transports along the data transmission chain are challenging. They are to be integrated into one stable system. For sensor integration, resource aware and autonomic approaches have priority, while the connection of clinical information systems puts emphasis on interoperability. This leads to different requirements regarding security and privacy issues, which have to be considered during system specification. During further project progress, our research group will implement the specification. Here, especially the autonomous interconnection and configuration of different sensor-nodes are challenging with respect to safety requirements.