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

Dr.-Ing. Stefan Gradl

Room: Room 01.025

 

Group Members

 

Current Students

  • Simone Rahm
    Fetal Heart Rate Extraction from Wearable Non-Invasive
    Electrocardiogram Devices

 

Completed Projects

 

Running Projects