High-performance UWB systems for biomedical diagnostics and short-range communications




Idea and aim:

We propose to use a unified impulse radio UWB system for biomedical sensing and imaging, for communications with implants or sensors on the patient´s body, and as a navigational aid in invasive procedures.

Need for research:

Medical use of UWB systems is an emerging field where some references exist on potential benefits, but implementation attempts rarely obey regulatory boundary conditions. Further, the level of integration is typically very low and abilities to dramatically reduce power consumption through simplification of architecture are not sufficiently explored. The project is important for clinical applications (e.g. intensive care units). The patient perspective is also important as the proposed system may lead to monitoring applications which are much less obtrusive and psychologically taxing.

Estimated findings and goals:

We expect major results in an increase of the integration level, resulting in smaller size, implantability, and reduced power consumption. Densely integrated frontends will also allow imaging arrays, which are another expected major outcome. The third major expected result is the introduction of innovative analogue signal processing techniques with a special emphasis on power efficiency. The research plan is inspired by the needs of systems in the real world and hence we expect the results to be immediately applicable to non-academic deployment.

Tools and methods used:

In the RF frontend, we employ expertise in the design of Si/SiGe HBT microwave ICs. Electromagnetic and RF system modelling is used in the design of imaging antenna arrays, while simulation methods from communications engineering and standard electronic design methods are used for the signal processing and baseband aspects

Project participants:

The project is a joint project of the groups of Prof. Schumacher from the Institute of Electron Devices and Circuits, Prof. Menzel from the Institute of Microwave Techniques and Prof. Lindner from the Institute of Information Technology. The project is founded by the "Deutsche Forschungs-Gemeinschaft (DFG)"(www.dfg.de) by means of the priority programm UKoLoS (www-emt.tu-ilmenau.de/ukolos).