Zobrazeno 1 - 10 of 26 pro vyhledávání: '"Lucie Marsanova"'
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Akademický článek
Di-4-ANEPPS Modulates Electrical Activity and Progress of Myocardial Ischemia in Rabbit Isolated Heart
Autor: Marina Ronzhina, Tibor Stracina, Lubica Lacinova, Katarina Ondacova, Michaela Pavlovicova, Lucie Marsanova, Radovan Smisek, Oto Janousek, Katerina Fialova, Jana Kolarova, Marie Novakova, Ivo Provaznik
Publikováno v: Frontiers in Physiology, Vol 12 (2021)
AimsAlthough voltage-sensitive dye di-4-ANEPPS is a common tool for mapping cardiac electrical activity, reported effects on electrophysiological parameters are rather. The main goals of the study were to reveal effects of the dye on rabbit isolated
Externí odkaz: https://doaj.org/article/2c7409c77cca47959d57f7419e62f882
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2
Real-Time Quality Assessment of Long-Term ECG Signals Recorded by Wearables in Free-Living Conditions
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f60f290fec4fb415d107badf193b593
https://doi.org/10.1109/tbme.2020.2969719
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3
Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB)
Autor: Lukas Smital, Lucie Marsanova, Martin Vitek, Radovan Smisek, Andrea Němcová
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
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6
Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimation
Autor: Enikö Vargova, Radovan Smisek, Lukas Smital, Andrea Nemcova, Martin Vitek, Lucie Marsanova
Publikováno v: BioMed Research International. 2021, vol. 2021, issue 9, p. 1-6.
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
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7
Cardiac Pathologies Detection and Classification in 12-lead ECG
Autor: Lucie Marsanova, Martin Vitek, Jiri Kozumplik, Lukas Smital, Radovan Smisek, Andrea Nemcova
Publikováno v: Computing in Cardiology. 2020, vol. 47, issue 1, p. 1-4.
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
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Robust QRS Detection Using Combination of Three Independent Methods
Autor: Radovan Smisek, Lukas Smital, Martin Vitek, Lucie Marsanova, Andrea Nemcova
Publikováno v: Computing in Cardiology. 2020, vol. 47, issue 1, p. 1-4.
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
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9
Single-Feature Method for Fast Atrial Fibrillation Detection in ECG Signals
Autor: Lucie Marsanova, Radovan Smisek, Andrea Nemcova, Lukas Smital, Martin Vitek
Publikováno v: Computing in Cardiology. 2020, vol. 47, issue 1, p. 1-4.
CinC
Atrial fibrillation (AF) is the most common arrhythmia in adults and is associated with a higher risk of heart failure or death. Here, we introduce simple and efficient method for automatic AF detection based on symbolic dynamics and Shannon entropy.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49f05372a0b7031ae4402eb6d676ca6d
https://hdl.handle.net/11012/196703
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10
Advanced P Wave Detection in Ecg Signals During Pathology: Evaluation in Different Arrhythmia Contexts
Autor: Radovan Smisek, Lucie Marsanova, Andrea Němcová, Martin Vitek, Lukas Smital
Publikováno v: Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
Reliable P wave detection is necessary for accurate and automatic electrocardiogram (ECG) analysis. Currently, methods for P wave detection in physiological conditions are well-described and efficient. However, methods for P wave detection during pat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bb37046136112497afebaa42e05d235
http://europepmc.org/articles/PMC6911105
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