This involves evaluating circulatory effects of new therapies, such as minimally invasive image-guided treatment of aortic stenosis (TAVI) and laparoscopic surgery and radiofrequency ablation for the treatment of liver metastases.
We also test miniaturized sensors and artificial intelligence for monitoring mechanical circulation support (ECMO and LVAD) in the treatment of heart and lung failure.
The long-term goal of the research group is to transfer new technologies and new concepts in physiology to clinical practice.
Trends in the treatment of various heart diseases increasingly involve the use of minimally invasive techniques and procedures, such as PCI for coronary artery disease, TAVI for aortic stenosis, treatment of severe heart failure with CRT.
Another trend is more and more use of advanced mechanical circulatory devices such as ECMO and LVAD as part of the treatment of life-threatening heart failure.
Although a method is classified as minimal invasive, the procedure can still involve high risk for the patient, for instant cardiac tamponade in TAVI. Unlike TAVI, LVAD implantation is a very invasive procedure.
In both cases, assessment of cardiovascular status is important, but requires different approaches and must be adapted to the invasiveness of the procedure.
We test new methods for monitoring perioperative cardiovascular status. This includes non-invasive cardiac ultrasound, new sensor technologies and signal processing methods on vital signs. The purpose is to detect and predict complications and thus be able to optimize the treatment.
An object in our research is that novel monitoring modalities should also be applicable in circulatory unstable patients in the intensive care unit, such as patients with septic shock and patients treated after cardiac arrest.
- Trans aortic valve implantation (TAVI): is preoperative cardiac reserve related to long term outcomes?
- Accelerometers for monitoring of thromboembolic complications in LVAD treatment
- Accelerometer and gyro-sensors for surveillance of heart function
- Effects of therapeutic hypothermia on myocardial function
- Multifunctional pacemaker system for treatment of heart failure
- Machine learning on vital signs data for improved hemodynamic monitoring
- Which monitoring modality estimates cardiac preload most accurately during minimal invasive liver surgery?
- Immunologic and adrenergic responses during radiofrequency ablation of liver metastases
- Artificial intelligence on accelerometer and pressure data to detect life-threatening complications in ECMO treatment
- Professor Kjetil Sunde, UiO
- Professor Jonny Hisdal, UiO
- Professor Ilangko Balasingham, UiO and NTNU
- Professor Ole Jakob Elle, UiO
- Professor Tom Eirik Mollnes, UiO
- Professor Erik Waage Nielsen, University of Northern Norway
- Professor emeritus Erik Fosse, UiO
- Senior researcher Espen Remme, OUH
- Consultant Åsmund Fretland, OUH
- Consultant Svein Landsverk, OUH
- Consultant Lars Øyvind Høiseth, OUH