Study projects

Fitness tracker : FeelFit

Smart body sensors and fitness trackers are becoming increasingly popular. Numerous vital parameters can be collected using simple means. However, this data often remains unused, even though it can provide valuable insights, particularly in healthcare. Scientists from the Department of Management Accounting and Information Systems at Osnabrück University have developed FeelFit, an app that makes it possible to combine vital signs from different sensors in one app. Patients can view their health data in the app, on a smart mirror or via a voice assistant. Watch the video to find out how this works and what added value FeelFit has for healthcare.

Serielle Digital Streams. Anordnung von Zahlen, Leuchten und Gestaltungselementen zum Thema digitale Kommunikation, Datenübertragung und virtuelle Realität
© Andrew Ostrovsky

Blockchain & health: : Rethinking data security

Blockchain technology is establishing itself as the basis for secure and transparent digital ecosystems. In healthcare in particular, it offers potential for improving data exchange and data sovereignty.

This thesis investigates the application of blockchain technology in the context of Personal Health Records (PHRs), with the aim of creating a secure and interoperable system for the management of health data and presents the development of a real-world, blockchain-secured PHR system called OSHealthRec and the results of continuous evaluations.

Key results of the research are the formulation of three design principles for blockchain applications and the findings from the evaluation cycles.

Eine Augmented Reality Brille.
© Simone Reukauf

Conception of a field study : Brain-Computer Interface & VR

Increasing digitalization is also being applied in the field of human-computer interaction, particularly through the combination of brain-computer interface (BCI) and virtual reality (VR). While imaging techniques such as fMRI, MEG and PET provide detailed insights into brain activity, they are often limited to laboratory environments due to their complexity and cost. Electroencephalography (EEG), on the other hand, offers a cost-effective, portable and non-invasive method for measuring brain activity and thus represents a promising basis for the development of BCI systems.

Above all, the present work has developed a well-founded conceptualization of a field study aimed at investigating the combination of BCI and VR in the field of education.