The research focuses on the modeling and interpretation of physiological processes based on multimodal sensor data to enhance medical monitoring and therapeutic decision-making.
It aims to characterize and predict physiological responses at the interface between the human body and supportive technical systems.
The resulting digital representations of respiratory and neurophysiological processes enable early detection of functional deviations, anomalies, and maladaptive responses.
These models provide a foundation for adaptive feedback mechanisms and telemedical applications, supporting personalized diagnosis, rehabilitation, and continuous patient care.
Overall, the research integrates intelligent sensor networks, biomedical signal processing, and digital modeling to advance proactive, data-driven, and patient-centered healthcare technologies.

Bariszlovich F,  Zaidi SMH, Noack B, Spiliopoulou M

Embedded System for Breathing Motion Monitoring Using Inertial Measurement Units [Poster presentation] 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , Copenhagen, Denmark, 14 - 17 July 2025.

A. Mullainadhan, F. Bariszlovich, M.J. Sopp, B.R. Bracio

Automated Image Segmentation Algorithm using a CNN [Poster presentation], 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , Copenhagen, Denmark, 11 - 15 July 2022.

F. Bariszlovich, A. Mullainadhan, M.J. Sopp, B.R. Bracio

Educational Impact of a Project Management on Students During a Biomedical Engineering Project [Poster presentation], 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , Copenhagen, Denmark, 11 - 15 July 2022.

M.J. Sopp, F. Bariszlovich, A. Mullainadhan, B.R. Bracio

Image Registration for Virtual Bronchoscopy Navigation A Project Based Learning Approach [Poster presentation], 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , Copenhagen, Denmark, 11 - 15 July 2022.

Petri, K., Feuerstein, K., Folster, S., Bariszlovich, F. & Witte, K.

Effects of Age, Gender, Familiarity with the Content, and Exposure Time on Cybersickness in Immersive Head-mounted Display Based Virtual Reality, 2020, American Journal of Biomedical Sciences, 107– 121.