Ing. Pavel Macháč
Data Manager, Senior IT Specialist
Biomedical Engineering
Our team investigates fundamental mechanisms and translates findings from bench to bedside, combining preclinical models with clinical insight.
Researcher at ICRC with focus on translational medicine. Combines preclinical insights with clinical practice across cardiology, neurology, and oncology programs.
Currently leads / contributes to interdisciplinary projects bridging molecular biology, imaging, and patient care at St. Anne's University Hospital Brno.
Research Group
- Team size
- Team size: 18 Researchers
- Place
- Place: Building B1, 4th Floor
- Collaborates with
- Collaborates with Mayo Clinic, USA
Head of Research Group
- Ing. Pavel Leinveber, Ph.D.
Members
Ing. Zuzana Formánková
Ph.D. Student
Ing. Barbora Matoušková
Ph.D. Student
Ing. Martina Kolajová
Ph.D. Student
Ing. Valentina Hrtoňová
Ph.D. Student
doc. MUDr. Martin Pail, Ph.D.
Senior Researcher, Senior Research Specialist
prof. MUDr. Jan Chrastina, Ph.D.
Senior Researcher
Dr. Erik Daniel Fagerholm
Senior Researcher
Ing. Petr Klimeš, Ph.D.
Postdoctoral Researcher
Ing. et Ing. Vojtěch Trávníček, Ph.D.
Postdoctoral Researcher, Research Specialist
Ing. Ladislav Soukup, Ph.D.
Postdoctoral Researcher, Senior IT Specialist
Ing. Ivo Viščor, Ph.D.
Postdoctoral Researcher
Vladimíra Macíková
Research Nurse
Ing. Mgr. Jan Cimbálník, Ph.D.
Principal Investigator, Senior Postdoctoral Researcher, Head Researcher
Ing. Pavel Jurák, CSc.
Senior Postdoctoral Researcher
Mgr. Andrea Dřímalková
Research Coordinator
Ing. Pavel Leinveber, Ph.D.
Head Researcher, Senior Research Team Leader
MUDr. Andrej Nagy
Research Specialist
Team Assistant
Mgr. Andrea Dřímalková
Administrative Support
Main Objectives
- To research various frequency components in the ECG signal and their contribution in clinical practice – spatial and temporal distribution properties in QRS complex on different frequencies using new ultra-high frequency ECG (UHF-ECG) methods and technology.
- To analyze EEG high-frequency oscillations (HFOs) and their meaning in physiology and pathophysiology of the epileptic brain.
- To research the EEG signal propagation – the brain connectivity in physiology and pathophysiology in epilepsy and Parkinson’s disease.
Research focus
Focuse on the development and testing of new methods and technologies for improved diagnostics for better stratification of heart and brain diseases.
Progressive analyses of weak electrical signals emitted by the body organs through an advanced acquisition of these signals.
We offer high-quality technical engineering services for researchers in terms of biological signals measurement and analyses, as well as the research data management and mining.
Development of new diagnostic technologies and tools in neurology and cardiology.
Technological equipment
- HiSeM Laboratories – special labs for highly sensitive biological signals measurement, equipped with Faraday cages and special acquisition systems designed for rooms with a highly clean environment (in terms of electromagnetic interference).
- Flexible Labs – full-range laboratories equipped for cardio and neuro diagnostic methods and measurement of biological signals.
Selected Results
- Ultra-High-Frequency ECG for the diagnostics of electrical conduction disturbances of the heart ventricles – the new methodology of processing ECG signal. Technology and methodology are covered by US patent and by EU and Czech patent applications.
- Machine learning models for localization of epileptogenic tissue – new methodology utilizing various intracranial EEG features in support vector machine models or convolutional neural networks to localize seizure generating tissue. Filed US patent.
- Jurak P., Curila K., Leinveber P., Prinzen FW., Viscor I., Plesinger F., Smisek R., Prochazkova R., Osmancik P., Halamek J., Matejkova M., Lipoldova J., Novak M., Panovsky R., Andrla P., Vondra V., Stros P., Vesela J., Herman D.: Novel ultra-high-frequency electrocardiogram tool for the description of the ventricular depolarization pattern before and during cardiac resynchronization. Journal of Cardiovascular Electrophysiology. 2020, 31(1), 300-307.
- Halámek J., Leinveber P., Viscor I., Smisek R., Plesinger F., Vondra V., Lipoldova J., Matejkova M., Jurak P.: The relationship between ECG predictors of cardiac resynchronization therapy benefit. 2019, PLoS One, 14(5).
- Cimbalnik J., Klimes P., Sladky V., Nejedly P., Jurak P., Pail M., Roman R., Daniel P., Guragain H., Brinkmann B., Brazdil M., and Worrell GA.: Multi-feature localization of epileptic foci from interictal, intracranial EEG. Clin. Neurophysiol., 2019, 130(10), 1945–1953.
- Klimes P., Cimbalnik J., Brazdil M., Hall J., Dubeau F., Gotman J., and Frauscher B.: NREM sleep is the state of vigilance that best identifies the epileptogenic zone in the interictal electroencephalogram, Epilepsia, 2019, 60(12), 2404-2415.
- Brázdil M., Pail M., Halámek J., Plešinger F., Cimbalnik J., Roman R., Klimeš P., Daniel P., Chrastina J., Brichtova E., Rektor I., Worrell GA., and Jurák P.: Very high frequency oscillations: Novel biomarkers of the epileptogenic zone. Ann. Neurol., 2017, 82(2), 299-310.
- Jan Cimbalnik, Jaromir Dolezal, Çağdaş Topçu, Michal Lech, Victoria S Marks, Boney Joseph, Martin Dobias, Jamie Van Gompel, Gregory Worrell, Michal Kucewicz: Intracranial electrophysiological recordings from the human brain during memory tasks with pupillometry. Sci Data. 2022 Jan 13;9(1):6.doi: 10.1038/s41597-021-01099-z
