MUDr.Ing.

Richard Ředina

FEKT, UBMI – vědecký pracovník

+420 54114 6676
xredin00@vut.cz

Odeslat VUT zprávu

MUDr.Ing. Richard Ředina

Publikační výsledky

  • 2025

    ŘEDINA, R.; LUCA, A.; HEJČ, J.; FILIPENSKÁ, M. Hausdorff Distance for P wave Alignment in ECG with Intracardiac Validation. In PROCEEDINGS I OF THE 31ST STUDENT EEICT 2025. 1st edition. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2025. p. 236-240. ISBN: 978-80-214-6321-9.
    Detail

    ŘEDINA, R.; HEJČ, J.; FILIPENSKÁ, M.; STÁREK, Z. Analyzing the performance of biomedical time-series segmentation with electrophysiology data. Scientific Reports, 2025, vol. 15, no. 1, p. 1-15. ISSN: 2045-2322.
    Detail | Plný text v Digitální knihovně

  • 2024

    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.
    Detail | Plný text v Digitální knihovně

    HEJČ, J.; ŘEDINA, R.; KOLÁŘOVÁ, J.; STÁREK, Z. Multi-channel delineation of intracardiac electrograms for arrhythmia substrate analysis using implicitly regularized convolutional neural network with wide receptive field. Biomedical Signal Processing and Control, 2024, vol. 94, no. August 2024, p. 1-18. ISSN: 1746-8094.
    Detail | Plný text v Digitální knihovně

    ŘEDINA, R.; HEJČ, J.; THEURL, F.; NOVOTNÝ, T.; ANDRŠOVÁ, I.; HNÁTKOVÁ, K.; STÁREK, Z.; FILIPENSKÁ, M.; BAUER, A.; MALÍK, M. Deep Learning End-to-End Approach for Precise QRS Complex Delineation Using Temporal Region-Based Convolutional Neural Networks. In Computing in Cardiology 2025. Computing in Cardiology. Karlsruhe: Computing in Cardioligy 2025, 2024. p. 1-4. ISSN: 2325-887X.
    Detail

  • 2023

    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.
    Detail

    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. no. neuvedno, p. 1-4. ISSN: 2325-887X.
    Detail

    ŘEDINA, R.; FILIPENSKÁ, M. Automatické měření efektivní refrakterní periody srdeční tkáně. Proceedings of the Trendy v biomedicínském inženýrství 2023. Brno: VUT v Brně, Fakulta elektrotechniky a komunikačních technologií, 2023. s. 192-195. ISBN: 978-80-214-6173-4.
    Detail

    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.
    Detail

  • 2022

    HEJČ, J.; ŘEDINA, R.; KULÍK, T.; PEŠL, M.; STÁREK, Z. Exercise-based Predictors of Late Recurrence of Atrial Fibrillation After Catheter Ablation. In Computing in Cardiology 2022. Computing in Cardiology. Tampere: Computing in Cardiology 2022, 2022. p. 1-4. ISSN: 2325-887X.
    Detail

    ŘEDINA, R. Optimization of wavelet transform in the task of intracardiac ECG segmentation. In Proceedings I of the 28th Conference STUDENT EEICT 2022. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. p. 437-441. ISBN: 978-80-214-6029-4.
    Detail

    STRAČINA, T.; RONZHINA, M.; ŘEDINA, R.; NOVÁKOVÁ, M. Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context. Frontiers in Physiology, 2022, vol. 13, no. 1, p. 1-20. ISSN: 1664-042X.
    Detail | Plný text v Digitální knihovně

    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.
    Detail

    ŘEDINA, R.; HEJČ, J.; POSPÍŠIL, D.; RONZHINA, M.; NOVOTNÁ, P.; STÁREK, Z. Arrhythmia Database with Annotated Intracardial Atrial Signals from Pediatric Patients Undergoing Catheter Ablation. In Computing in Cardiology 2022. Computing in Cardiology. Computing in Cardiology 2022, 2022. p. 1-4. ISSN: 2325-887X.
    Detail

  • 2021

    ŘEDINA, R. Atrial fibrillation model. PROCEEDINGS I OF THE 27TH STUDENT EEICT 2021. ELECTRICAL ENGINEERING, INFORMATION SCIENCE, AND COMMUNICATION TECHNOLOGIES. GENERAL PAPERS. 1st. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2021. s. 158-161. ISBN: 978-80-214-5942-7.
    Detail

  • 2019

    ŘEDINA, R. Clustering of ECG cycles. PROCEEDINGS I OF THE 25TH STUDENT EEICT 2021. ELECTRICAL ENGINEERING, INFORMATION SCIENCE, AND COMMUNICATION TECHNOLOGIES. GENERAL PAPERS. 1st. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2019. s. 42-45. ISBN: 978-80-214-5735-5.
    Detail

*) Citace se generují jednou za 24 hodin.