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
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