Numerical models are crucial for the patient-specific use of electrical stimulation in clinical applications. For this purpose, validated, data-driven simulations that represent bioelectrical, mechanical, and biochemical processes at various spatial and temporal scales are advanced. Imaging and sensor data individually calibrate the models to patients and clinical conditions. The applied methods combine finite and boundary element techniques with inverse modelling and model order reduction. This approach facilitates the derivation of robust, individually adapted stimulation parameters as a basis for effective therapies for brain, bone, and articular cartilage diseases.

Prof. Dr.-Ing. Simon Adrian
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Tel.: +49 381 498 7052

University of Rostock
Institute of General Electrical Engineering
Albert-Einstein-Str. 2
18059 Rostock

Henning Bathel
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Lam Viên Che
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Timur Almeev
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Dr.-Ing. Julius Zimmermann
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