Ing.

Petra Novotná

FEEC, UBMI – Researcher

+420 54114 6676
novotnap@vut.cz

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Ing. Petra Novotná

Publications

  • 2022

    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

    NOVOTNÁ, P.; VIČAR, T.; HEJČ, J.; RONZHINA, M. Deep-Learning Premature Contraction Localization Using Gaussian Based Predicted Data. In Computing in Cardiology 2021. Computing in Cardiology. Computing in Cardiology 2021, 2021. p. 1-4. ISSN: 2325-887X.
    Detail | WWW

    PEŠL, M.; HEJČ, J.; KULIK, T.; VIČAR, T.; NOVOTNÁ, P.; RONZHINA, M.; JAKUBÍK, J.; LEINVEBER, P.; GONZALEZ RIVAS, J.; STÁREK, Z. Cardiac arrhythmias classification in Kardiovize population study. In Computing in Cardiology 2021. Computing in Cardiology. IEEE Computer Society, 2021. p. 1-4. ISSN: 2325-887X.
    Detail | WWW

    HEJČ, J.; POSPÍŠIL, D.; NOVOTNÁ, P.; PEŠL, M.; JANOUŠEK, O.; RONZHINA, M.; STÁREK, Z. Segmentation of Atrial Activity in Intracardiac Electrograms (EGMs) Using Convolutional Neural Network (CNN) Trained on Small Imbalanced Dataset. In Computing in Cardiology 2021. Computers in Cardiology. Computing in Cardiology 2021, 2021. p. 1-4. ISSN: 0276-6574.
    Detail

    NOVOTNÁ, P. Multiple Instance Learning Framework Used For ECG Premature Contraction Localization. Proceedings I of the 27th Conference STUDENT EEICT 2021. 1. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021. p. 311-315. ISBN: 978-80-214-5942-7.
    Detail | WWW

    VIČAR, T.; NOVOTNÁ, P.; HEJČ, J.; JANOUŠEK, O.; RONZHINA, M. Cardiac Abnormalities Recognition in ECG Using a Convolutional Network with Attention and Input with an Adaptable Number of Leads. In Computing in Cardiology 2021. Computing in Cardiology. Brno: Computing in Cardiology 2021, 2021. p. 1-4. ISSN: 2325-887X.
    Detail | WWW

    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.
    Detail | WWW

  • 2020

    NOVOTNÁ, P.; VIČAR, T.; RONZHINA, M.; HEJČ, J.; KOLÁŘOVÁ, J. Deep-Learning Premature Contraction Localization in 12-lead ECG From Whole Signal Annotations. In Computing in Cardiology 2020. Compuing in Cardiology 2013. 47. NEW YORK: IEEE, 2020. p. 1-4. ISBN: 978-1-7281-7382-5. ISSN: 2325-8861.
    Detail | WWW

    VIČAR, T.; HEJČ, J.; NOVOTNÁ, P.; RONZHINA, M.; JANOUŠEK, O. ECG Abnormalities Recognition Using Convolutional Network With Global Skip Connections and Custom Loss Function. In Computing in Cardiology 2020. Compuing in Cardiology 2013. 47. NEW YORK: IEEE, 2020. p. 1-4. ISBN: 978-1-7281-7382-5. ISSN: 2325-8861.
    Detail | WWW

    NOVOTNÁ, P. Atrial Fibrillation Classification Using Deep Convolutional Network. Proceedings I of the 26th Conference STUDENT EEICT 2020. 1. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2020. p. 345-349. ISBN: 978-80-214-5867-3.
    Detail | WWW

    NOVOTNÁ, P. Multiple Instance Learning Framework Used For ECG Premature Contraction Localization. Proceedings I of the 27th Conference STUDENT EEICT 2021. 1. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2020. p. 1-5. ISBN: 978-80-214-5942-7.
    Detail

  • 2019

    VIČAR, T.; NOVOTNÁ, P.; HEJČ, J.; RONZHINA, M.; SMÍŠEK, R. Sepsis Detection in Sparse Clinical Data Using Long Short-Term Memory Network with Dice Loss. In Computing in Cardiology 2019. Computers in Cardiology. 46. Singapore: Computing in Cardiology 2019, 2019. p. 1-4. ISSN: 0276-6574.
    Detail

    NOVOTNÁ, P. Body Surface Potential Mapping in Animal Experiments - pilot study. In Proceedings of the 25th Conference STUDENT EEICT 2019. 1. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2019. p. 447-451. ISBN: 978-80-214-5735-5.
    Detail | WWW

  • 2018

    NOVOTNÁ, P. Verification and Adjustment of HF-ECG Preprocessing in Experimental Cardiology. In Proceedings of the 24th Conference STUDENT EEICT 2018. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018. p. 610-615. ISBN: 978-80-214-5614-3.
    Detail | WWW

  • 2017

    NOVOTNÁ, P.; HEJČ, J.; RONZHINA, M.; JANOUŠEK, O.; STRAČINA, T.; OLEJNÍČKOVÁ, V.; NOVÁKOVÁ, M.; KOLÁŘOVÁ, J. Analysis of Hemodynamic Related Changes in High Frequency Content of QRS Complex in Working Isolated Rabbit Heart. In Computing in Cardiology 2017. Computers in Cardiology. 44. Rennes, France: Computing in Cardiology 2017, 2017. p. 1-4. ISBN: 978-1-5090-0684-7. ISSN: 0276-6574.
    Detail

*) Publications are generated once a 24 hours.