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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

Stefan Gradl, M. Sc.

Room: Room 01.025

 

Group Members

 

Current Students

  • Johanna Happold
    Towards Vertigo Assessment at Home: Evaluation of Orthostatic Reaction in Free-living Environments (Bachelor's Thesis)

 

Completed Projects

 

Running Projects