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RehaInteract - 3D kinesitherapy for domestic environments

The research project RehaInteract aims to develop a sensor-based interaction- and communication-platform for the physical therapeutic attendance of rehabilitation exercises in domestic environments. The platform shall support individual exercises related to the particular deficit of a patient by utilizing local and environmental embedded pressure, movement and, optical sensors. The recorded sensor data are used to monitor the trend of skill recovery and, if essential, to provide feedback to the patients during the process of regaining their lost physical ability. By using a telecommunication infrastructure, sensed data from the exercises can be transmitted to therapists or physicians in a clinic or rehabilitation centre in order to be further evaluated. This will allow for a remote assisted supervision of patients in domestic environments which can be beneficial especially for immobile or geriatric patients in rural environments. The exercises to be developed will be thereby designed in feedback oriented fashion in order to motivate the patient during his rehabilitation. This shall ensure a long-term therapy-success.

The overall goal of the project is to develop a modular interaction-system applicable for both clinical and domestic environments. The set of sensors to be integrated will include already available ones that were evaluated towards their applicability, as well as newly developed ones. The final set of sensors shall allow for comprehensive evaluation under medical aspects and remote supervision. The integration of sensors and feedback mechanisms allows for status information about the therapy progress and training performance.

Our research group will yield expertise on the area of self-organizing and self-governed sensor-networks. Especially applications in the context of tele-medicine suffer from the broad variety of available sensors and data formats. During the requirement-analysis, available systems and concepts will be evaluated towards their applicability and adopted if necessary. The resulting system specification puts emphasis on an open architecture in order to allow for a easy market entry. Challenging are the characteristics of the different transport along the data transmission chain, which are to be integrated to 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, where especially the autonomous interconnection and configuration of the sensor-nodes is challenging with respect to safety requirements.   


Dr. Andreas Kliem
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