Projects of Department of Biomeasurements

Project selection:

International projects

AtheroNET – Network for implementing multiomic approaches in atherosclerotic cardiovascular disease prevention and research
Sieť/zoskupenie pre implementáciu multiomického prístupu pri prevencii a výskume aterosklerotickej choroby srdca
Program: COST
Duration: 17.7.2024 – 18.10.2026
Project leader: Ing. Švehlíková Jana, PhD.
Annotation: AtheroNET aims to consolidate and connect experts from different fields into European and international network that will focus on the use of multiple omics technologies and data integration through machine learning/artificial intelligence approach to bring novel paradigms in prevention, diagnosis, and treatment of atherosclerotic cardiovascular disease.
Project website: https://atheronet.eu/

National projects

Multi-lead ECG measurement to create a personalized model of the electric field of the heart and research the possibilities of its use for the diagnosis and optimization of cardiac arrhythmia therapy
Mnohozvodové meranie EKG na vytvorenie personalizovaného modelu elektrického poľa srdca a výskum možností jeho využitia na diagnostiku a optimalizáciu terapie srdcových arytmií
Program: VEGA
Duration: 1.1.2025 – 31.12.2028
Project leader: Ing. Švehlíková Jana, PhD.
Annotation: In the proposed project, we plan to link multi-lead ECG measurements on the chest with a personalized model of the heart and chest of the measured patient obtained from a CT scan. We intend to implement the physiological properties of healthy myocardium into the heart chamber model, as well as some pathological morphological and structural changes, such as left ventricular hypertrophy or left bundle branch block in heart failure. Using simulations of activation propagation in the heart chambers, we will study changes in ECG signals in the above diagnoses, as well as the consequences of different settings of supportive stimulation in resynchronization therapy for heart failure. We will implement advanced methods of signal processing and calculation of selected characteristics in quasi-real time into a new multi-lead ECG measurement system with wireless data transmission to a control computer.