Neuroimplants (such as Deep Brain Stimulation devices used in the treatment of Parkinson's disease) currently have the disadvantage that, although they are adjusted by the physician, finding their optimal settings is time consuming and is not based on measured physiological parameters. Efforts are being made towards developing closed-loop systems to simplify system tuning, save battery life, increase lifespan, and control patient-specific function. An example of such an effort is the recording of local field potentials that show beta-band abnormalities associated with Parkinsonian tremor.
In addition to the effects of efficiency the stimulation on the success rate, neuroimplants have a small but not insignificant rate of complications. Infection of the implants is to be mentioned here, but also electronics failures due to breakages in the subcutaenous wiring occur regularly.
Based on the evaluations made, the existing infrastructure and the scientific relevance, the group has defined two priority areas in the field of Intelligent Neuroimplants:
Dr. Boris Hofmann, Vertreter der Fa. Aesculap
Forschungsschwerpunkt: Intelligente Neuroimplantate
Prof. Dr. Tilman Schäffer, Vertreter der Universität Tübingen (MNF)
Institut für Angewandte Physik