Trial lecture
“Opportunities and Challenges in Non- and Minimally Invasive Cardiac Monitoring Across Care Settings”
Time and place: November 13, 2025 10:15 AM. Rikshospitalet B: Seminarrom 2 B2.U002
Main research findings
Accurate, continuous assessment of cardiac function is critical in patients undergoing cardiac surgery. Current tools such as echocardiography and ECG provide essential information but lack continuous, beat-to-beat mechanical insights. Epicardial accelerometers can be a complementary tool that enable direct, real-time monitoring of cardiac motion. These sensors can be integrated into temporary pacing leads that are routinely placed in patients during surgery, requiring no additional procedures. This thesis addressed a gap in this workflow: automatic detection of valve events, which is essential for deriving functional indices. We developed and validated signal processing algorithms and deep learning methods to detect mitral and aortic valve events with high accuracy in canine and porcine models under varied physiological and pathological conditions. Using these detected events, we estimated left ventricular pressure waveform and constructed pressure–displacement loops. Furthermore, functional indices such as early systolic velocity, post-systolic displacement, and efficiency were also generated that tracked expected changes in myocardial function during varied conditions. These results establish a robust, fully automated framework for continuous cardiac function monitoring based on detection of valve events using epicardial accelerometers, with strong potential for clinical translation.
Adjudication committee
- Principal Lecturer Mikko Pänkäälä, Turku University of Applied Sciences, Finland
- Head of Data Science and Data Engineering Valeriya Naumova, Cognite, Norway
- Senior Lecturer Ole Marius Hoel Rindal, Department of Informatics, University of Oslo, Norway
Supervisors
Senior scientist Espen Remme, Oslo University Hospital, Norway
Professor Ole Jakob Elle, University of Oslo, Norway
Professor Per Steinar Halvorsen, Oslo University Hospital, Norway
Chair of defence
- Professor Dag Langmyhr, Department of Informatics, University of Oslo
Contact information at Department: Mozhdeh Sheibani Harat