Search results
- 1.0583012 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Koščová, Zuzana - Smíšek, Radovan - Nejedlý, Petr - Halámek, Josef - Jurák, Pavel - Leinveber, P. - Čurila, K. - Plešinger, Filip
Ultra-High Frequency ECG Deep-Learning Beat Detector Delivering QRS Onsets and Offsets.
2022 Computing in Cardiology (CinC). New York: IEEE, 2022, 2022-eptember (2022), č. článku 230. ISBN 979-8-3503-0097-0. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2022 /49./. Tampere (FI), 04.09.2022-07.09.2022]
Institutional support: RVO:68081731
Keywords : QRS duration * ultra-high-frequency ECG * deep learning
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/10081715 https://www.cinc.org/archives/2022/pdf/CinC2022-230.pdf
Permanent Link: https://hdl.handle.net/11104/0351424 - 2.0583011 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Plešinger, Filip - Ivora, Adam - Vargová, Enikö - Smíšek, Radovan - Pavlus, Ján - Koščová, Zuzana - Nejedlý, Petr - Bulková, V. - Kozubík, R. - Halámek, Josef - Jurák, Pavel
Scalable, Multiplatform, and Autonomous ECG Processor Supported by AI for Telemedicine Center.
2022 Computing in Cardiology (CinC). New York: IEEE, 2022, 2022-eptember (2022), č. článku 052. ISBN 979-8-3503-0097-0. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2022 /49./. Tampere (FI), 04.09.2022-07.09.2022]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : software * AI * ECG * analysis
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/10081823 https://www.cinc.org/archives/2022/pdf/CinC2022-052.pdf
Permanent Link: https://hdl.handle.net/11104/0351425 - 3.0583010 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Nejedlý, Petr - Pavlus, Ján - Smíšek, Radovan - Vargová, Enikö - Koščová, Zuzana - Viščor, Ivo - Jurák, Pavel - Plešinger, Filip
Utilization of Deep Learning and Expert Feature Classifier for Detection of Heart Murmurs.
2022 Computing in Cardiology (CinC). New York: IEEE, 2022, 2022-eptember (2022), č. článku 041. ISBN 979-8-3503-0097-0. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2022 /49./. Tampere (FI), 04.09.2022-07.09.2022]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : heart murmurs * deep learning * classification
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/10081763 https://www.cinc.org/archives/2022/pdf/CinC2022-041.pdf
Permanent Link: https://hdl.handle.net/11104/0351652 - 4.0582865 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Palacios, S. - Smíšek, Radovan - Čurila, K. - Nguyen, U. C. - Prinzen, F. W. - Halámek, Josef - Plešinger, Filip - Jurák, Pavel - Martinez, J. P. - Pueyo, E.
Spatial Dispersion of Activation and Repolarization Times Associated with Different Cardiac Pacing Modes.
2023 Computing in Cardiology (CinC). New York: IEEE, 2023, (2023). ISBN 979-8-3503-8252-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2023 /50./. Atlanta (US), 01.10.2023-04.10.2023]
Institutional support: RVO:68081731
Keywords : ultra-high-frequency ECG * UHF ECG * cardiac pacing * physiological pacing * repolarization times
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://www.cinc.org/archives/2023/pdf/CinC2023-420.pdf https://ieeexplore.ieee.org/document/10364130
Permanent Link: https://hdl.handle.net/11104/0350978 - 5.0582864 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Koščová, Zuzana - Vargová, Enikö - Pavlus, Ján - Smíšek, Radovan - Viščor, Ivo - Bulková, V. - Plešinger, Filip
Predicting Readmission of Heart Failure Patients.
2023 Computing in Cardiology (CinC). New York: IEEE, 2023, (2023). ISBN 979-8-3503-8252-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2023 /50./. Atlanta (US), 01.10.2023-04.10.2023]
R&D Projects: GA TA ČR(CZ) FW06010766
Institutional support: RVO:68081731
Keywords : heart failure * readmission * machine learning
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/10364202 https://www.cinc.org/archives/2023/pdf/CinC2023-207.pdf
Permanent Link: https://hdl.handle.net/11104/0351027 - 6.0582863 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Plešinger, Filip - Koščová, Zuzana - Vargová, Enikö - Pavlus, Ján - Smíšek, Radovan - Viščor, Ivo - Bulková, V.
The Effect of Missing Data when Predicting Readmission in Heart Failure Patients.
2023 Computing in Cardiology (CinC). New York: IEEE, 2023, (2023). ISBN 979-8-3503-8252-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2023 /50./. Atlanta (US), 01.10.2023-04.10.2023]
R&D Projects: GA TA ČR(CZ) FW06010766
Institutional support: RVO:68081731
Keywords : heart failure * modelling * readmission
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/10364025 https://www.cinc.org/archives/2023/pdf/CinC2023-265.pdf
Permanent Link: https://hdl.handle.net/11104/0351029 - 7.0582514 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Pavlus, Ján - Pijáčková, Kristýna - Koščová, Zuzana - Smíšek, Radovan - Viščor, Ivo - Trávníček, Vojtěch - Nejedlý, Petr - Plešinger, Filip
Using Embedding Extractor and Transformer Encoder for Predicting Neurological Recovery from Coma After Cardiac Arrest.
2023 Computing in Cardiology (CinC). New York: IEEE, 2023. ISBN 979-8-3503-8252-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2023 /50./. Atlanta (US), 01.10.2023-04.10.2023]
R&D Projects: GA TA ČR(CZ) FW06010766
Institutional support: RVO:68081731
Keywords : Deep learning * Pipelines * Cardiac arrest * Medical services * Predictive models * Electrocardiography * Brain modeling
OECD category: Medical engineering
https://www.cinc.org/archives/2023/pdf/CinC2023-054.pdf https://ieeexplore.ieee.org/document/10364171
Permanent Link: https://hdl.handle.net/11104/0350908 - 8.0555166 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Rohr, M. - Plešinger, Filip - Bulková, V. - Antink, C. H.
Improving Machine Learning Education during the COVID-Pandemic Using Past Computing in Cardiology Challenges.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 55. ISBN 978-166547916-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2021 /48./. Brno (CZ), 12.09.2021-15.09.2021]
Institutional support: RVO:68081731
Keywords : ECG * Machine-learning * Classification * Atrial Fibrillation
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/9662955
Permanent Link: http://hdl.handle.net/11104/0329696 - 9.0555164 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Plešinger, Filip - Ivora, Adam - Halámek, Josef - Viščor, Ivo - Smíšek, Radovan - Bulková, V. - Jurák, Pavel
Evaluating Pauses in Holter ECG Signals.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 107. ISBN 978-166547916-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2021 /48./. Brno (CZ), 12.09.2021-15.09.2021]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : Holter ECG * Evaluating Pauses
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/9662914
Permanent Link: http://hdl.handle.net/11104/0329695 - 10.0555163 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Nejedlý, Petr - Ivora, Adam - Smíšek, Radovan - Viščor, Ivo - Koščová, Zuzana - Jurák, Pavel - Plešinger, Filip
Classification of ECG Using Ensemble of Residual CNNs with Attention Mechanism.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 14. ISBN 978-166547916-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2021 /48./. Brno (CZ), 12.09.2021-15.09.2021]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : Residual CNNs * Classification of ECG * Physionet Challenge
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/9662723
Permanent Link: http://hdl.handle.net/11104/0329694