Digital Health – Biosignals

The acquisition and evaluation of biomedical signals are important aspects in the modern healthcare and health-related sports training landscape. The Digital Health – Biosignals group focuses on developing new sensors systems, new transmission technologies and intelligent processing and assessment algorithms that can be used in machine learning or even AI systems to shorten and support medical decisions, and, ultimately, improve healthcare and sports training outcomes.

Research areas: Experimental Studies, Human-Computer Interaction, Machine Learning, Signal Processing, Wearables


Group Head


Group Members


Current Students

  • Paula Kaiser
    Influence of Social-Evaluative Stress in the Virtual Reality Stroop Room


Completed Projects


Running Projects