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FEEC, UBMI – Researcher
+420 54114 6676novotnap@vut.cz
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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
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