Search results
- 1.0557480 - ÚPT 2023 RIV GB eng J - Journal Article
Nejedlý, Petr - Ivora, Adam - Viščor, Ivo - Koščová, Zuzana - Smíšek, Radovan - Jurák, Pavel - Plešinger, Filip
Classification of ECG using ensemble of residual CNNs with or without attention mechanism.
Physiological Measurement. Roč. 43, č. 4 (2022), č. článku 044001. ISSN 0967-3334. E-ISSN 1361-6579
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : ECG * classification * deep learning * PhysioNet challenge 2021 * attention mechanism
OECD category: Medical engineering
Impact factor: 3.2, year: 2022
Method of publishing: Limited access
https://iopscience.iop.org/article/10.1088/1361-6579/ac647c
Permanent Link: https://hdl.handle.net/11104/0333433 - 2.0555163 - 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