Projekt je zaměřen obecně na aplikace inženýrských principů do oblastí biomedicíny, biologie a bioinformatiky. V těchto oblastech se zaměřuje na konkrétní témata, která jsou dlouhodobě předmětem výzkumu na UBMI. Jde zejména o zpracování a analýzu biosignálů (EKG, EMG, polysomnografie), zpracování a analýzu obrazů z různých zobrazovacích modalit (především optické zobrazování, MRI a CT), výzkum viability buněk pomocí mikroskopických metod a aplikace pokročilých matematických metod pro zpracování a analýzu genomických signálů.

FEKT-S-20-6195

Czech

Kolář Radim, doc. Ing., Ph.D. - principal person responsible
Bartoň Vojtěch, Ing. - fellow researcher
Čejková Darina, Mgr. Bc., Ph.D. - fellow researcher
Čmiel Vratislav, Ing., Ph.D. - fellow researcher
Enikeev Amir, Ing. - fellow researcher
Filipenská Marina, Ing., Ph.D. - fellow researcher
Harabiš Vratislav, Ing., Ph.D. - fellow researcher
Hejč Jakub, Ing., Ph.D. - fellow researcher
Hesko Branislav, Ing. - fellow researcher
Hracho Michal, Ing. - fellow researcher
Chmelík Jiří, Ing., Ph.D. - fellow researcher
Chmelíková Larisa, Ph.D. - fellow researcher
Jakubíček Roman, Ing., Ph.D. - fellow researcher
Jakubíčková Markéta, Ing., Ph.D. - fellow researcher
Janoušek Oto, Ing., Ph.D. - fellow researcher
Jugas Robin, Ing., Ph.D. - fellow researcher
Kašpar Jakub, Ing. - fellow researcher
Kolářová Jana, doc. Ing., Ph.D. - fellow researcher
Kozumplík Jiří, doc. Ing., CSc. - fellow researcher
Králík Martin, Ing. - fellow researcher

Department of Biomedical Engineering
- responsible department (21.6.2022 - not assigned)
Department of Biomedical Engineering
- internal (1.1.2020 - 31.12.2022)
Faculty of Electrical Engineering and Communication
- beneficiary (1.1.2020 - 31.12.2022)

ŘEDINA, R.; HEJČ, J.; POSPÍŠIL, D.; FILIPENSKÁ, M.; NOVOTNÁ, P.; STÁREK, Z. Arrhythmia Database with Annotated Intracardial Atrial Signals from Pediatric Patients Undergoing Catheter Ablation. In Computing in Cardiology. IEEE Computer Society, 2022. p. 1-4. ISBN: 979-8-3503-0097-0.
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ŘEDINA, R.; FILIPENSKÁ, M. Enhancing Clinical Efficiency: Autonomous Determination of Cardiac Effective Refractory Period Using ECG Signals. Lékař a technika, 2024, vol. 54, no. 2, p. 37-42. ISSN: 0301-5491.
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VARŠOVÁ, K.; SZITÁS, D.; JANOUŠEK, O.; JURKOVIČOVÁ, L.; BARTOŠOVÁ, K.; JUŘÍK, V. Virtual reality exposure effect in acrophobia: psychological and physiological evidence from a single experimental session. VIRTUAL REALITY, 2024, vol. 28, no. 3, p. 1-14. ISSN: 1434-9957.
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PLOCKOVÁ, V.; SEDLÁŘ, K. Properties of Current Signals in Nanopore Sequencing. In Proceedings I of the 28th Conference STUDENT EEICT 2022. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. p. 120-123. ISBN: 978-80-214-6029-4.
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VARŠOVÁ, K.; JUŘÍK, V.; JANOUŠEK, O. VIRTUAL REALITY IN PSYCHOTHERAPY TRAINING: SHIFT TOWARDS MODERN TRAINING ENVIRONMENTS. 15th International Conference on Education and New Learning Technologies. Spain: Palma, 2023. p. 2641-2651. ISBN: 978-80-223-5610-7.
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KRISTÍNA, K.; JUŘÍK, V.; JANOUŠEK, O. Stavová úzkosť po vystavení výškovej situácii vo virtuálnej realite - rola pocitov prítomnosti a stelesnenia. Kognícia a umelý život 2023. Bratislava: Univerzita Komenského v Bratislave, 2023. ISBN: 978-80-223-5610-7.
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HEJČ, J.; ŘEDINA, R.; POSPÍŠIL, D.; RAKOVÁ, I.; KOLÁŘOVÁ, J.; STÁREK, Z. Weakly Supervised P Wave Segmentation in Pathological Electrocardiogram Signals Using Deep Multiple-instance Learning. In Computing in Cardiology 2023. Computing in Cardiology. 50. Atlanta: IEEE Computer Society, 2023. p. 1-4. ISSN: 2325-887X.
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HEJČ, J.; ŘEDINA, R.; KOLÁŘOVÁ, J.; STÁREK, Z. Epycon: A Single-platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats. In Computing in Cardiology 2023. Computing in Cardiology. 50. IEEE Computer Society, 2023. p. 1-4. ISSN: 2325-887X.
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HAMZA, A. Navigated Transcranial Magnetic Stimulation (nTMS) based Preoperative Planning for Brain Tumor Treatment. CNS & Neurological Disorders-Drug Targets, 2023, vol. 22, no. 10.2023, p. 1-11. ISSN: 1996-3181.
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POLÁKOVÁ, V. UTILIZATION OF CONVOLUTIONAL NEURAL NETWORKS FOR SEGMENTATION OF MOUSE EMBRYOS CARTILAGINOUS TISSUE IN MICRO-CTDATA. In PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2021. p. 106-110. ISBN: 978-80-214-5943-4.
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ŘEDINA, R.; FILIPENSKÁ, M. Estimation of myocardial conduction velocity using a coronary sinus catheter. In Proceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers. Proceedings II of the Conference STUDENT EEICT. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2023. p. 156-160. ISBN: 978-80-214-6154-3. ISSN: 2788-1334.
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SHAMAEI, A.; STARČUKOVÁ, J.; STARČUK, Z. Physics-informed deep learning approach to quantification of human brain metabolites from magnetic resonance spectroscopy data. COMPUTERS IN BIOLOGY AND MEDICINE, 2023, vol. 158, no. 1, p. 1-15. ISSN: 0010-4825.
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SIEMASZKO, J.; MARZEC-PRZYSZLAK, A.; BOGUNIA-KUBIK, K. NKG2D Natural Killer Cell Receptor-A Short Description and Potential Clinical Applications. Cells, 2021, vol. 10, no. 6, ISSN: 2073-4409.
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MATIAŠOVIC, J.; BZDIL, J.; PAPEŽÍKOVÁ, I.; ČEJKOVÁ, D.; VASINA, E.; BIZOS, J.; NAVRÁTIL, S.; ŠEDIVÁ, M.; KLAUDINY, J.; PIKULA, J. Genomic analysis of Paenibacillus larvae isolates from the Czech Republic and the neighbouring regions of Slovakia. RESEARCH IN VETERINARY SCIENCE, 2023, vol. 158, no. 3, p. 34-40. ISSN: 1532-2661.
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NEMČEK, J.; JAKUBÍČEK, R. ANALYSIS OF CIRCULATORY SYSTEM PATHOLOGIES IN HEAD CT DATA – HEMORRHAGE LOCALIZATION. Lékař a technika, 2021, vol. 51, no. 1-4, p. 66-70. ISSN: 0301-5491.
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RIZZO, R.; DZIADOSZ M.; KYATHANAHALLY, S.P.; SHAMAEI, A.; KREIS, R. Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias. MAGNETIC RESONANCE IN MEDICINE, 2022, vol. 1, no. 1, p. 1-21. ISSN: 0740-3194.
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SHAMAEI, A.; STARCUKOVA, J.; PAVLOVA, I.; STARCUK, Z. Model-informed unsupervised deep learning approaches to frequency and phase correction of MRS signals. MAGNETIC RESONANCE IN MEDICINE, 2022, vol. 89, no. 3, p. 1221-1236. ISSN: 0740-3194.
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HEJC, J.; POSPISIL, D.; NOVOTNA, P.; PESL, M.; JANOUSEK, O.; RONZHINA, M.; STAREK, Z. Segmentation of Atrial Electrical Activity in Intracardiac Electrograms (IECGs) Using Convolutional Neural Network (CNN) Trained on Small Imbalanced Dataset. In Computing in Cardiology. Compuing in Cardiology 2013. September 2021. NEW YORK: IEEE, 2021. p. 1-4. ISBN: 9781665479165. ISSN: 2325-8861.
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OSMANCIK, P.; HAVRANEK, S.; BULKOVA, V.; CHOVANCIK, j.; ROUBICEK, T.; HERMAN, D.; CERNA, Z.; TUKA, V.; MATOULEK, M.; FIALA, M.; JIRAVSKY, O.; STREGL-HRUSKOVA, S.; LATINAK, A.; KOTRYOVA, J.; JARKOVSKY, J. Catheter ablation versus antiarrhythmic drugs with risk factor modification for treatment of atrial fibrillation: a protocol of a randomised controlled trial (PRAGUE-25 trial). BMJ Open, 2022, vol. 12, no. 6, p. 1-8. ISSN: 2044-6055.
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SKLENSKY, J.; URBASEK, K.; SVEHLIK, M.; SVOZILOVA, V.; KOCANDA, J.; PRYMEK, M.; VYSKOCIL, R.; REPKO, M. The relationship of hip loading asymmetry and radiological parameters of the spine in Lenke type 1 idiopathic scoliosis. GAIT & POSTURE, 2022, vol. 94, no. May 2022, p. 160-165. ISSN: 0966-6362.
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Responsibility: Kolář Radim, doc. Ing., Ph.D.