BIOMEDICAL ENGINEERING

Heart and brain signals. Read and understood.

Ing. Pavel Leinveber

E-mail: pavel.leinveber@fnusa.cz

Tel: +420 54 318 5536

Key words

Advanced Acquisition of Biological Signals, Data-Analyses in Cardiology and Neurology.

Research focus

Focus 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.

Main goals

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.

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.

Assistant

Mgr. Andrea Dřímalková
E-mail: andrea.drimalkova@fnusa.cz
Phone: +420 543 185 532

Team members

Ing. Pavel Leinveber
Bc. Patrik Begáň
Ing. Mgr. Jan Cimbálník, Ph.D.
Ing. Pavel Daniel
doc. MUDr. Irena Doležalová, Ph.D.
Mgr. Andrea Dřímalková
Ing. Zuzana Formánková
Ing. Josef Halámek, CSc.
prof. MUDr. Jan Chrastina, Ph.D.
Ing. Pavel Jurák, CSc.
Mgr. Lenka Jurkovičová,
Vojtěch Kadlec
Ing. Petr Klimeš, Ph.D.
Ing. Martin Kojan, Ph.D.
MUDr. Jolana Lipoldová, Ph.D.
Vladimíra Macíková
Ing. Pavel Macháč
Ing. Magdaléna Matejková
Ing. Barbora Matoušková
MUDr. Andrej Nagy
Bc. Petr Nejedlý, MSc
doc. MUDr. Miroslav Novák, CSc.
Ing. Tereza Postránecká
doc. MUDr. Robert Roman, Ph.D.
Ing. Ladislav Soukup, Ph.D.
Ing. et Ing. Vojtěch Trávníček
Ing. Zuzana Vašíčková
Mgr. Kristýna Vítková
Bc. Pavlína Vlčková
Dr. Ing. Vlastimil Vondra
MUDr. Eva Zatloukalová

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