The Institute of Biomedical Electronics addresses the interfacing of electronics with the biological and human world, ultimately aiming for improved strategies in healthcare.
We focus on the development and application of in-vitro, in-vivo, and in-silico systems for biomedical research and applications, on new wearable hardware concepts, on biosystem modelling, and signal processing.
The focus of our research is the development and application of in-vitro multielectrode-based biomedical systems to understand and modulate neuronal circuits and electrogenic cell assemblies at cellular resolution. We modulate these systems by electrical and/or optogenetic photostimulation thereby aiming towards improved health restoration. The basic assumption of our research is the description of complex biological systems by bioelectronic equivalent circuits. We started developing novel electrical measurement methods to be applied in biomedicine.
A special emphasis, based on the expertise of the last fifteen years, constitutes the retina, which serves as an ideal accessible ex vivo tissue to investigate many topics in neuroprosthetics.
Research areas include diagnostic and therapeutic approaches and their individualized closed-loop combination. Electric, acoustic, optic, and magnetoelastic sensors are developed for biomedical applications, e.g., for sleep, anaesthesia, and fitness monitoring as well as for heart rate variability monitoring.
Electrical Impedance Tomography - enhanced by computer tomography - is developed for an individual setting of lung ventilators. Modelling of physiological signals and systems is performed for the voluntary breath holding (and apnea diving) to asses cardiopulmonary fitness in patients.
Percutaneous electric auricular vagus nerve stimulation is developed to realise personalized Point-of-Care therapy in chronic pain and peripheral arterial disease, and in triggering healing of diabetic chronic wounds.
Extensive expertise is available in adaptive, multiparametric, clinically-relevant processing of hybrid biomedical signals in time, spectral, and space domains, and in wearable hardware/software/firmware concepts for diagnostic/therapeutic/theranostic biomedical devices.