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
- Jonas Gruber
Influence of Different Stimulus Intensities of Cold Air on Driver Drowsiness - Ulla Sternemann
Extraction of Pre-Ejection Period as Marker for Acute Psychosocial Stress from Wearable Sensors and Interferometry Radar
Running Projects
