Areas of Scientific Interest
- Novel wearable devices and other health technology solutions for physiological parameter measurement and their diagnostic characteristics.
- Long-term continuous and intermittent monitoring of physiological and pathological conditions in real-world settings.
- Research on monitoring technologies and their application for early disease detection and personalized prevention.
Main Activities / Research Directions
Health Technology Development
- Development of prototypes of wearable and mobile devices for physiological parameter measurement.
- Evaluation of measurement characteristics, usability, and clinical applicability.
Remote Monitoring of Physiological Parameters
- Monitoring of physiological and pathological parameters under real-life daily conditions.
- Application of long-term monitoring in clinical and experimental studies.
Applied and Translational Activities
Early-stage development of monitoring technologies and their further advancement towards practical implementation.
Research
- Research on technologies for monitoring of physiological and pathological conditions.
- Validation of diagnostic accuracy and clinical value of wearable and mobile monitoring devices in target populations.
- Interdisciplinary applied research in clinical, preventive, and population-based contexts.
Methods and Infrastructure Used
- Wearable and mobile sensor devices for monitoring physiological parameters.
- Electrocardiography (ECG), photoplethysmography (PPG), and other physiological signal measurement methods applied in the context of wearable monitoring technologies.
- Access to laboratory and clinical research infrastructure at the Medical Science Centre (MMC) and partner institutions.
Projects
Polychromatic Polarization Microscopy for Machine Learning in Tissue Pathology (PPM4ML), Lithuanian Research Council, Researcher groups project, 2024-2027.
Data Center for Machine Learning and Quantum Computing in Natural and Biomedical Sciences (Project no.: S-A-UAI-23-11)/MF involved in "Center of Excellence in Digital Medicine" (SMEC), LR budget (LMT, ŠMSM), 2023-2027.
Cooperation
- Vilnius University Hospital Santaros Klinikos
- Kaunas University of Technology
- IHU Liryc, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM, CHU de Bordeaux, Bordeaux, France.
- Anglia Ruskin University, Chelmsford, United Kingdom
- University Medical Center Hamburg-Eppendorf, Germany.
List of Employees and Contacts
|
Academic degree |
Name |
Memberships in societies |
Contacts |
|
Phd
|
Justinas Bacevičius (Head of Centre) |
Lithuanian Society of Cardiology (LSC) Lithuanian Heart Rhythm Association (LHRA) European Heart Rhythm Association (EHRA) European Society of Cardiology (ESC) |
Information for Those Interested in Cooperation
Cooperation and Services: development, testing, and clinical validation of wearable health technology solutions in collaboration with technology developers; long-term remote monitoring of physiological parameters in clinical and population-based studies; national and international research projects conducted jointly with academic partners and clinical institutions.
Keywords: health technologies; wearables; remote monitoring; telemedicine; personalized medicine; early diagnosis
For cooperation and partnerships at the Translational Health Research Institute, please contact: