Multi-scale models for studies on electrically active implants in due consideration of uncertainties in the input data (A02)

• Subject Area: Communication Technology and Networks, High-Frequency Technology and Photonic Systems, Signal Processing and Machine Learning for Information Technology
• Term: since 2017
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 299150580

For therapies employing electrically active implants, numerical models are central in determining the resulting electric field distribution in the targeted tissue. Only multi-scale models that also include interacting bioelectrical, biochemical, biomechanical and thermal effects meet the specific character of this biological tissue. Appropriate finite element-based micro- and macroscopic models for the electrical stimulation of bone, cartilage and deep brain as well as scale-bridging techniques will be investigated and advanced - incorporating methods for uncertainty quantification as the dielectric tissue properties exhibit large variations. The simulation models will contribute to derive best-possible and robust inter-individual stimulation parameters, and, in turn, a safer therapy planning.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1270: ELectrically Active ImplaNts - ELAINE
• Applicant Institution: Universität Rostock
• Project Heads: Dr.-Ing. Revathi Appali, since 7/2021; Professorin Dr. Ursula van Rienen; Dr. Christian Schmidt, until 6/2021