The research within the Biomedical Engineering group focuses on reliable non-invasive physiological data acquisition and signal processing. The aim is to find solutions to real problems and the projects are performed in close collaboration with the public sector.
The Biomedical engineering group´s research is focused towards multisensor systems for measurements of physiological parameters. The systems are developed to be wearable, also including artificial intelligence and wireless communication to enable free mobility.
Single-Visit Endodontic Therapy and Root Canal Identification Practices among Croatian Dentists: Insights from a National Survey (Jul 2025) Josipa Sović , Sanja Šegović , Ivona Bago , Jurica Matijevic , Ivan Tomasic Acta Stomatologica Croatica (ASCRO)
Endodontic Continuing Education of Dental Practitioners in Croatia: A Nationwide Survey (Nov 2024) Josipa Sović , Sanja Šegović , Jurica Matijevic , Ivan Tomasic Open Access Macedonian Journal of Medical Sciences (OAMJMS)
Real-time Biosignal Processing and Feature Extraction from Photoplethysmography Signals for Cardiovascular Disease Monitoring (Oct 2024) Saad Abdullah, Annica Kristoffersson, Maria Lindén medicinteknikdagarna 2024 (MTD 2024)
Skin Cancer Diagnosis through Machine Learning: An Educational Tool for Improved Detection (Oct 2024) Saad Abdullah, Kehkashan Kanwal , Abdelakram Hafid, Parveen Ghafoor , Annica Kristoffersson medicinteknikdagarna 2024 (MTD 2024)
Patterns of Antibiotic Prescription in Endodontic Therapy in the Republic of Croatia (Jul 2024) Josipa Sović , Sanja Šegović , Božidar Pavelić , Ivona Bago , Ivana Šutej , Ivan Tomasic Antibiotics (Antibiotics)
Current Diagnostic Techniques for Pneumonia: A Scoping Review (Jul 2024) Kehkashan Kanwal , Muhammad Asif , Syed Ghufran Khalid , Haipeng Liu , Aisha Ghazal Qurashi , Saad Abdullah