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 - 4.0582514 - 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 - 5.0555163 - 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 - 6.0555154 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Smíšek, Radovan - Viščor, Ivo - Ivora, Adam - Bulková, V. - Maršánová, L. - Nejedlý, Petr - Koščová, Zuzana - Halámek, Josef - Jurák, Pavel - Plešinger, Filip
Wavelet Transform Based Detection of the First-Degree Atrioventricular Block.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 168. 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 : Wavelet Transform Based Detection * First-Degree Atrioventricular Block
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/9662877
Permanent Link: http://hdl.handle.net/11104/0329687 - 7.0555030 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Koščová, Zuzana - Ivora, Adam - Nejedlý, Petr - Halámek, Josef - Jurák, Pavel - Matejková, M. - Leinveber, P. - Znojilová, L. - Čurila, K. - Plešinger, Filip
QRS Complex Detection in Paced and Spontaneous Ultra-High-Frequency ECG.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 96. 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; GA TA ČR(CZ) FW03010434
Institutional support: RVO:68081731
Keywords : QRS Complex Detection * Ultra High Frequency ECG
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/9662647
Permanent Link: http://hdl.handle.net/11104/0329647 - 8.0551341 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Plešinger, Filip - Viščor, Ivo - Smíšek, Radovan - Halámek, Josef - Bulková, V. - Nejedlý, Petr - Ivora, Adam - Matejková, M. - Leinveber, P. - Jurák, Pavel
Automated Identification of Paced Beats in Holter ECG.
Computing in Cardiology Conference. In: 2020 Computing in Cardiology (CinC 2020). New York: IEEE, 2020, (2020), č. článku 67. ISBN 978-1-7281-7382-5. ISSN 2325-8861.
[Computing in Cardiology 2020. Rimini (IT), 13.09.2020-16.09.2020]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : ECG * EKG * signal processing * signal analysis * cardiac pacing
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/9344294
Permanent Link: http://hdl.handle.net/11104/0326763 - 9.0543689 - ÚPT 2022 RIV US eng C - Conference Paper (international conference)
Nejedlý, Petr - Ivora, Adam - Viščor, Ivo - Halámek, Josef - Jurák, Pavel - Plešinger, Filip
Utilization of Residual CNN-GRU With Attention Mechanism for Classification of 12-lead ECG.
2020 Computing in Cardiology (CinC 2020). New York: IEEE, 2020, Č. 47 (2020), č. článku 32. ISBN 978-1-7281-7382-5. ISSN 2325-8861.
[Computing in Cardiology 2020. Rimini (IT), 13.09.2020-16.09.2020]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : neural networks * ECG * EKG * classification * deep learning
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/9344152
Permanent Link: http://hdl.handle.net/11104/0320868 - 10.0509016 - ÚPT 2020 RIV US eng C - Conference Paper (international conference)
Plešinger, Filip - Andrla, Petr - Viščor, Ivo - Halámek, Josef - Nejedlý, Petr - Bulková, V. - Jurák, Pavel
Shape Analysis of Consecutive Beats May Help in the Automated Detection of Atrial Fibrillation.
Computing in Cardiology 2018. Vol. 45. New York: IEEE, 2018, č. článku 8743764. E-ISSN 2325-887X.
[Computing in Cardiology Conference (CinC) /45./. Maastricht (NL), 23.09.2018-26.09.2018]
R&D Projects: GA MŠMT(CZ) LO1212
Grant - others:AV ČR(CZ) MSM100651602
Program: Program na podporu mezinárodní spolupráce začínajících výzkumných pracovníků
Institutional support: RVO:68081731
Keywords : cardiology * automated detection * atrial fibrillation
OECD category: Medical engineering
Permanent Link: http://hdl.handle.net/11104/0299830