Beáta Ondrušová

Project selection:

International projects

SP4LIFE – Smart Patch for Life Support Systems
Inteligentná náplasť pre systémy na udržanie života
Program: NATO
Duration: 10.3.2021 – 10.3.2024
Project leader: Doc. Ing. Tyšler Milan, CSc.
Annotation: Wearable real-time systems collecting and smartly analysing information on respiration, heartbeat, SpO2, blood pressure and body temperature could help medical personnel adopting most suitable countermeasure in case of highly stressful situations in military and civil scenarios as a result of terrorist attacks, IEDs’ or rescue operations. The system gives an alert if the health status of a person is changed to prevent overlook of critical health changes. We propose design and development of a patch-like device prototypes and methodology enabling continuous evaluation of personnel or victims’ vital parameters, using Artificial Intelligence to create software capable of real-time diagnostics and rapid countermeasures’ selection.
Project website:
ClinECGI – Performance Evaluation of Noninvasive Electrocardiographic lmaging for the Localization of Premature Ventricular Contraction from Clinical Data
Vyhodnotenie neinvazívneho elektrokardiografického zobrazovania pre lokalizáciu predčasnej komorovej kontrakcie z klinických dát
Program: JRP
Duration: 1.2.2021 – 1.2.2024
Project leader: Ing. Švehlíková Jana, PhD.
Annotation: The project is focused on advanced noninvasive methods for the localization of the origin of an undesired ventricular activity known as the extrasystoles. The treatment of these arrhythmias involves an invasive procedure using an endocardial mapping, during which such origins are eliminated by the application of radiofrequency energy. The methods proposed in the project aim to shorten this time demanding invasive procedure, by guiding the clinicians to the correct regions of the arrhythmia origin.

National projects

MRCartilage – Automatic data evaluation tool from the longitudinal quantitative MRI studies of articular cartilage
Automatický softvérový nástroj na výhodnocovanie kvantitatívnych MRI štúdií artikulárných chrupaviek v čase
Program: SRDA
Duration: 1.7.2022 – 30.6.2026
Project leader: Ing. Dr. Szomolányi Pavol, (PhD.)
Annotation: The aim of the project is to design a comprehensive tool for automatic evaluation of human articular cartilage data from quantitative MRI. Data obtained from the Osteoarthritis Initiative database, and measured at Institute of Measurement Science and Medical University of Vienna will be segmented using an automated segmentation tool based on convolutional neural networks. The annotated data will then be registered on quantitative MRI data that will be available from the database (T2 and T1rho mapping, gagCEST, sodium MR) using automated or semiautomated tools developed within this project. The data obtained will be evaluated at multiple time points according to MR measurements that will be available. In addition to quantitative MR data, this will include volumetric data, cartilage thickness, and texture analysis of quantitative maps. Patient evaluation will be based on risk factor groups (transverse ligament rupture, meniscus rupture and menisectomy). The expected number of patients is approximately 4000 divided into individual groups in the ratio 40/30/30. The output of the project will be a compiled version of an automatic cartilage evaluation tool that will be available in a public source (such as website of Institute of Measurement).
Use of multi-lead ECG measurement and modeling of the electric field of the heart in non-invasive diagnostics and therapy of ventricular arrhythmias and heart failure
Využitie mnohozvodového merania EKG a modelovania elektrického poľa srdca pri neinvazívnej diagnostike a terapii komorových arytmií a zlyhávajúceho srdca
Program: VEGA
Duration: 1.1.2022 – 31.12.2024
Project leader: Ing. Švehlíková Jana, PhD.
Annotation: The proposed project follows the previous one, in which we addressed signal processing and the inverse problem for the first clinical data from patients with arrhythmias. In the following period, we would like to expand the number of processed measurements to standardize the most suitable procedures for the processing of the measured signals. In addition to the diagnosis of premature ventricular contraction, we plan to process and evaluate multi-lead ECG signals of patients with heart failure and contribute to the methodology of evaluation of resynchronization therapy. We will also focus on the direct evaluation of the parameters of the measured potential maps. Personalized models of patients\’ hearts will be created and pathological processes will be simulated in them for a better understanding of the processes in the activation of heart ventricles. The simulated signals will be compared with clinical measurements. Within the international cooperation, we will compare our results with other inverse methods.
ReSynCard – Personalized Optimisation of Cardiac Resynchronization Therapy in Heart Failure Based on Multiple Lead ECG Measurement
Personalizovaná optimalizácia resynchronizačnej liečby srdcového zlyhávania na základe mnohozvodového merania EKG
Program: SRDA
Duration: 1.7.2020 – 30.6.2023
Project leader: Doc. Ing. Tyšler Milan, CSc.
Annotation: Cardiac resynchronization therapy (CRT) is currently the most advanced therapeutic method for treatment of patients with failing heart. The essential criteria for patient indication for CRT are based on standard 12-lead ECG and echocardiographic measurements and include ECG pattern of left bundle branch block, prolongation of the QRS time interval, and left ventricular ejection fraction less than 35%. Despite most patients have a great benefit from the CRT, still 20-40% of patients do not profit from the therapy. On the other side, there is a considerable number of positive responders among patients not fulfilling the criteria. Therefore, there is a great effort to increase the success rate of the intervention and to find better criteria for its application. Current research shows that surface ECG maps recorded by a large number of electrodes, ECG imaging solving the inverse problem of electrocardiology and reconstructing the electrical activity of the heart, or combination of ECG imaging with computed tomography to identify structural damage of the myocardium have potential for more reliable detection of the electrical dyssynchrony and for suggesting optimal electrode placement and their timing. The main objective of the project is the research of methods for personalized optimization of the CRT therapy based on multi-lead surface ECG measurement and their verification on simulated data and data from real patients. The partial aims include: • finding such body surface potential maps parameters that could serve as suitable indicators of the electrical dyssynchrony of ventricles, • design of an inverse method for noninvasive localization of the latest activated areas in the ventricles and their use for placing the electrode in the left ventricle, • simulation of failing heart activation to understand the undergoing processes and their reflection in surface ECG signals, • development of a dedicated multi-lead ECG measuring system for personalized CRT optimization.