Number of the records: 1

Classification of ECG using ensemble of residual CNNs with or without attention mechanism

SYSNO	0557480
Title	Classification of ECG using ensemble of residual CNNs with or without attention mechanism
Author(s)	Nejedlý, Petr (UPT-D)_{RID, SAI} Ivora, Adam (UPT-D) Viščor, Ivo (UPT-D)_{RID, ORCID, SAI} Koščová, Zuzana (UPT-D) Smíšek, Radovan (UPT-D)_{RID, ORCID, SAI} Jurák, Pavel (UPT-D)_{RID, ORCID, SAI} Plešinger, Filip (UPT-D)_{RID, ORCID, SAI}
Corespondence/senior	Nejedlý, Petr - Korespondující autor
Source Title	Physiological Measurement. Roč. 43, č. 4 (2022). - : Institute of Physics Publishing
Article number	044001
Document Type	Článek v odborném periodiku
Grant	FW01010305 GA TA ČR - Technology Agency of the Czech Republic (TA ČR), CZ - Czech Republic
Institutional support	UPT-D - RVO:68081731
Language	eng
Country	GB
Keywords	ECG * classification * deep learning * PhysioNet challenge 2021 * attention mechanism
URL	https://iopscience.iop.org/article/10.1088/1361-6579/ac647c
Permanent Link	https://hdl.handle.net/11104/0333433

Number of the records: 1