0559662 - ÚPT 2023 RIV GB eng J - Journal Article
Ivora, Adam - Viščor, Ivo - Nejedlý, Petr - Smíšek, Radovan - Koščová, Zuzana - Bulková, V. - Halámek, Josef - Jurák, Pavel - Plešinger, Filip
QRS detection and classification in Holter ECG data in one inference step.
Scientific Reports. Roč. 12, č. 1 (2022), č. článku 12641. ISSN 2045-2322. E-ISSN 2045-2322
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : ECG * Machine learning * Deep learning * QRS detection * QRS classification
OECD category: Medical engineering
Impact factor: 4.6, year: 2022
Method of publishing: Open access
https://www.nature.com/articles/s41598-022-16517-4
Permanent Link: https://hdl.handle.net/11104/0335256
Ivora, Adam - Viščor, Ivo - Nejedlý, Petr - Smíšek, Radovan - Koščová, Zuzana - Bulková, V. - Halámek, Josef - Jurák, Pavel - Plešinger, Filip
QRS detection and classification in Holter ECG data in one inference step.
Scientific Reports. Roč. 12, č. 1 (2022), č. článku 12641. ISSN 2045-2322. E-ISSN 2045-2322
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : ECG * Machine learning * Deep learning * QRS detection * QRS classification
OECD category: Medical engineering
Impact factor: 4.6, year: 2022
Method of publishing: Open access
https://www.nature.com/articles/s41598-022-16517-4
Permanent Link: https://hdl.handle.net/11104/0335256