Novel Modulating Deep Brain Stimulation Techniques based on Real-Time Model in the Loop Concepts

To improve deep brain stimulation (DBS), we have studied stimulation-induced dynamics in target areas for DBS in mathematical models. We have implemented these neuronal networks on special fast digital hardware. Our real-time models enable us to simulate stimulation-induced processes in patients under real-time conditions. Our approach makes it possible to evaluate and optimize software and hardware realizing our novel demand-controlled DBS techniques (so-called model in the loop concept). The models and the control algorithms have been coded with the graphical programming language SIMULINK by Mathworks which en…