
The development of sixth-generation mobile communications (6G) also opens up approaches for improving personalized health monitoring, one aspect of which is shifting artificial intelligence (AI) methods to the edge of the network and to corresponding end devices.
The Chair of Wireless Communication and Navigation (WICON) at RPTU, together with the Intelligent Networks (IN) research group of the German Research Center for Artificial Intelligence (DFKI), among others, is working on communication solutions for holistic sensor integration, whereby vital data from the body can be mapped as Medical Digital Twins (MDTs).
In this context, Wireless Body Area Networks (WBANs) enable flexible health monitoring and efficient sensor networking through the development of ring-topology communication for fast, reliable data transmission. This approach allows neighboring sensors to communicate directly with each other while ensuring efficient, flexible data processing across the entire network.
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Jennifer Oberhofer
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Heike Leonhard
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