Efficient signal processing algorithms and architectures for in situ monitoring using electrically active implants and their closed-loop control (B06)

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

The project is developing signal processing for in situ monitoring using electrically active implants and their control via closed control loops. In addition to developing reference algorithms, including artificial intelligence methods, the efficient implementation of these algorithms into the resource-constrained implant system is a key goal of this project. Our research activities focus on monitoring osseointegration and periprosthetic bone quality in total hip arthroplasty and on the closed-loop control of electrically active implants.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1270: ELectrically Active ImplaNts - ELAINE
• Applicant Institution: Universität Rostock
• Project Heads: Professor Dr.-Ing. Marc Reichenbach, since 1/2026; Professor Dr.-Ing. Sascha Spors