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
- Jingna Qiu
Data Augmentation for Electrocardiogram Classication - Luisa Dörflinger
Digital Maternity Records: Physician's and and Midwife's perspective on motivation and usability - Simone Rahm
Fetal Heart Rate Extraction from Wearable Non-Invasive
Electrocardiogram Devices
Completed Projects
- Low power electronics for sports and fitness applications
- Non-invasive determination of the human hydration level
