Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Lukas Smital"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Accurate automated detection of P waves in ECG allows to provide fast correct diagnosis of various cardiac arrhythmias and select suitable strategy for patients’ treatment. However, P waves detection is a still challenging task, especially
Externí odkaz:
https://doaj.org/article/c8bbfe7f687142599da11a4ba21f68e2
Autor:
'Lucie Saclova, Andrea Nemcova, Jiri Sacl, Marina Ronzhina, Radovan Smisek, Lukas Smital, Martin Vítek\\'
Publikováno v:
Computing in Cardiology Conference (CinC).
Autor:
'Radovan Smisek, Andrea Nemcova, Lukas Smital, Daniela Chlibkova, Martin Kralik, Jana Kolarova, Vojtech Myska, Martin Kolarik, Michal Harvanek, Jakub Arm, Ondrej Bastan, Martin Pospisil, Jan Sima, Jaromir Hubalek\\'
Publikováno v:
Computing in Cardiology Conference (CinC).
Autor:
Pavel Leinveber, Andrea Nemcova, Lucie Marsanova, Ivo Provaznik, Barry K. Gilbert, Martin Vitek, Lukas Smital, Radovan Smisek, Clifton R. Haider, Pavel Jurák, David R. Holmes, Christopher L. Felton
Publikováno v:
IEEE Transactions on Biomedical Engineering. 67:2721-2734
Objective: Nowadays, methods for ECG quality assessment are mostly designed to binary distinguish between good/bad quality of the whole signal. Such classification is not suitable to long-term data collected by wearable devices. In this paper, a nove
Background: Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB) is an ECG signal database with marked peaks of P waves created by the cardiology team at the Department of Biomedical Engineering, Brno University of T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::587b25e1aeaa422dbbee1cbfdc34d115
https://doi.org/10.21203/rs.3.rs-942006/v1
https://doi.org/10.21203/rs.3.rs-942006/v1
Autor:
Jiri Kozumplik, Lukas Smital, Andrea Nemcova, Marina Ronzhina, Radovan Smisek, Lucie Marsanova, Martin Kralik, Martin Vitek
Publikováno v:
2021 Computing in Cardiology (CinC).
Publikováno v:
BioMed Research International. 2021, vol. 2021, issue 9, p. 1-6.
BioMed Research International
BioMed Research International, Vol 2021 (2021)
BioMed Research International
BioMed Research International, Vol 2021 (2021)
To the best of our knowledge, there is no annotated database of PPG signals recorded by smartphone publicly available. This article introduces Brno University of Technology Smartphone PPG Database (BUT PPG) which is an original database created by th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e258f7ab9090a35c46501e01ed0749c
https://hdl.handle.net/11012/201673
https://hdl.handle.net/11012/201673
Publikováno v:
Computing in Cardiology. 2020, vol. 47, issue 1, p. 1-4.
CinC
CinC
Background: Automatic detection and classification of cardiac abnormalities in ECG is one of the basic and often solved problems. The aim of this paper is to present a proposed algorithm for ECG classification into 19 classes. This algorithm was crea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::936f692e4dc67fce45c4ac2d10e1b33c
https://hdl.handle.net/11012/196704
https://hdl.handle.net/11012/196704
Autor:
Tomas Repcik, Radim Kolar, Veronika Polakova, Michal Nohel, Lukas Smital, Vojtech Waloszek, Martin Vitek
Publikováno v:
Computing in Cardiology. 2020, vol. 47, issue 1, p. 1-4.
CinC
CinC
ECG is a biological signal specific for each person that is hard to create artificially. Therefore, its usage in biometry is highly investigated. It may be assumed that in the future, ECG for biometric purposes will be measured by wearable devices. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ba5709abb5631807035ffdd1c1b623d
https://hdl.handle.net/11012/196702
https://hdl.handle.net/11012/196702
Publikováno v:
Computing in Cardiology. 2020, vol. 47, issue 1, p. 1-4.
CinC
CinC
QRS detection is a fundamental step in ECG analysis. Although there are many algorithms reporting results close to 100%, this problem is still not resolved. The reported numbers are influenced by the quality of the detector, the quality of annotation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec92862e27bf5d4fa00e0287afcb535d
https://hdl.handle.net/11012/196701
https://hdl.handle.net/11012/196701