Signal processing for modelling and in situ monitoring of electrically active implants (B06*)

• Subject Area: Communication Technology and Networks, High-Frequency Technology and Photonic Systems, Signal Processing and Machine Learning for Information Technology
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 299150580

The therapeutic success of electric stimulation relies on well-defined fields generated in tissue or bone. The desired stimulation signal is altered by the active and passive components of the electrically active implant. The project aims to quantify these alterations by developing deterministic and probabilistic models of the implant system. Furthermore, methods for monitoring loosening and periprosthetic bone quality of hip-stem replacement systems are devised. Analysis of structure-borne sound in the implant and electrical impedance tomography in conjunction deep learning techniques are considered for this purpose. In order to further advance the monitoring of implants, the application of in situ structural health monitoring techniques is investigated.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1270: ELectrically Active ImplaNts - ELAINE
• Applicant Institution: Universität Rostock
• Project Head: Professor Dr.-Ing. Sascha Spors