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Autor
Barvik, Daniel 1 Barvík, Daniel 1 Buzga, Marek 1 Cerny, Martin 1 Djakow, Jana 1 Dvořáček, Jan 1 Golian, Milos 1 Hanzlikova, Pavla 1 Jarkovský, Jiří 1 Jaros, Rene 1 Kahankova, Radana 1 Klučka, Jozef 1 Kosinová, Martina 1 Krestanova, Alice 1 Kubicek, Jan 1 Penhaker, Marek 1 Plevka, Pavel 1 Prokop, Ondrej 1 Prokopová, Tereza 1 Skříšovská, Tamara 1
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Pracoviště
Central European Institute of Technol... 1 Deparment of Physiology and Pathophys... 1 Department of Anaesthesiology and Int... 1 Department of Comprehensive Cancer Ca... 1 Department of Cybernetics and Biomedi... 1 Department of Imaging Method Faculty ... 1 Department of Paediatric Anaesthesiol... 1 Department of Simulation Medicine Fac... 1 Human Motion Diagnostic Center Depart... 1 Institute of Biostatistics and Analys... 1 MEDIN a s Nove Mesto na Morave Czech ... 1 Paediatric Intensive Care Unit NH Hos... 1
- Formát
- Publikační typ
- Kategorie
- Jazyk
- Země
- Časopis/zdroj
- Dostupnost
- Vlastník
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Autor
Barvik, Daniel 1 Barvík, Daniel 1 Buzga, Marek 1 Cerny, Martin 1 Djakow, Jana 1 Dvořáček, Jan 1 Golian, Milos 1 Hanzlikova, Pavla 1 Jarkovský, Jiří 1 Jaros, Rene 1 Kahankova, Radana 1 Klučka, Jozef 1 Kosinová, Martina 1 Krestanova, Alice 1 Kubicek, Jan 1 Penhaker, Marek 1 Plevka, Pavel 1 Prokop, Ondrej 1 Prokopová, Tereza 1 Skříšovská, Tamara 1
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Pracoviště
Central European Institute of Technol... 1 Deparment of Physiology and Pathophys... 1 Department of Anaesthesiology and Int... 1 Department of Comprehensive Cancer Ca... 1 Department of Cybernetics and Biomedi... 1 Department of Imaging Method Faculty ... 1 Department of Paediatric Anaesthesiol... 1 Department of Simulation Medicine Fac... 1 Human Motion Diagnostic Center Depart... 1 Institute of Biostatistics and Analys... 1 MEDIN a s Nove Mesto na Morave Czech ... 1 Paediatric Intensive Care Unit NH Hos... 1
- Formát
- Publikační typ
- Kategorie
- Jazyk
- Země
- Časopis/zdroj
- Dostupnost
- Vlastník
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Kosinová, Martina
Autor Autorita ORCID Department of Simulation Medicine, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic Department of Paediatric Anaesthesiology and Intensive Care Medicine, University Hospital Brno and Faculty of Medicine, Masaryk University, Jihlavská 20, 625 00 Brno, Czech Republic
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Štourač, Petr
Autor Autorita ORCID Department of Simulation Medicine, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic Department of Paediatric Anaesthesiology and Intensive Care Medicine, University Hospital Brno and Faculty of Medicine, Masaryk University, Jihlavská 20, 625 00 Brno, Czech Republic
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Prokopová, Tereza
Autor Prokopová, Tereza Department of Simulation Medicine, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic Department of Anaesthesiology and Intensive Care Medicine, University Hospital Brno and Faculty of Medicine, Masaryk University, Jihlavská 20, 625 00 Brno, Czech Republic
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Vafková, Tereza
Autor Vafková, Tereza Department of Simulation Medicine, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Faculty of Medicine, Masaryk University, Žlutý kopec 534/7, 656 53 Brno, Czech Republic
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Vafek, Václav
Autor Vafek, Václav Department of Simulation Medicine, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic Department of Paediatric Anaesthesiology and Intensive Care Medicine, University Hospital Brno and Faculty of Medicine, Masaryk University, Jihlavská 20, 625 00 Brno, Czech Republic
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Barvík, Daniel
Autor Barvík, Daniel ORCID Department of Simulation Medicine, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic Department of Anaesthesiology and Intensive Care Medicine, University Hospital Brno and Faculty of Medicine, Masaryk University, Jihlavská 20, 625 00 Brno, Czech Republic
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Skříšovská, Tamara
Autor Skříšovská, Tamara Department of Simulation Medicine, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic Department of Paediatric Anaesthesiology and Intensive Care Medicine, University Hospital Brno and Faculty of Medicine, Masaryk University, Jihlavská 20, 625 00 Brno, Czech Republic
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Dvořáček, Jan
Autor Dvořáček, Jan Department of Simulation Medicine, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic Department of Anaesthesiology and Intensive Care Medicine, University Hospital Brno and Faculty of Medicine, Masaryk University, Jihlavská 20, 625 00 Brno, Czech Republic
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Djakow, Jana
Autor Djakow, Jana Department of Simulation Medicine, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic Department of Paediatric Anaesthesiology and Intensive Care Medicine, University Hospital Brno and Faculty of Medicine, Masaryk University, Jihlavská 20, 625 00 Brno, Czech Republic Paediatric Intensive Care Unit, NH Hospital Inc., 268 01 Hořovice, Czech Republic
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Klučka, Jozef
Autor Klučka, Jozef Department of Simulation Medicine, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic Department of Paediatric Anaesthesiology and Intensive Care Medicine, University Hospital Brno and Faculty of Medicine, Masaryk University, Jihlavská 20, 625 00 Brno, Czech Republic
Free Medical Journals od 2014
PubMed Central od 2014
Europe PubMed Central od 2014
ProQuest Central od 2021-01-01
Open Access Digital Library od 2014-01-01
Open Access Digital Library od 2014-01-01
Nursing & Allied Health Database (ProQuest) od 2021-01-01
Health & Medicine (ProQuest) od 2021-01-01
ROAD: Directory of Open Access Scholarly Resources od 2014
PubMed
36421199
DOI
10.3390/children9111751
Knihovny.cz E-zdroje
BACKGROUND: Due to the COVID-19 pandemic, Basic Life Support (BLS) training has been limited to compression-only or bag-mask ventilation. The most breathable nanofiber respirators carry the technical possibility for inflation of the mannequin. The aim of this study was to assess the efficacy of mouth-to-mouth breathing through a FFP2 respirator during BLS. METHODS: In the cross-over simulation-based study, the medical students performed BLS using a breathable nanofiber respirator for 2 min on three mannequins. The quantitative and qualitative efficacy of mouth-to-mouth ventilation through the respirator in BLS training was analyzed. The primary aim was the effectivity of mouth-to-mouth ventilation through a breathable respirator. The secondary aims were mean pause, longest pause, success in achieving the optimal breath volume, technique of ventilation, and incidence of adverse events. RESULTS: In 104 students, effective breath was reached in 951 of 981 (96.9%) attempts in Adult BLS mannequin (Prestan), 822 of 906 (90.7%) in Resusci Anne, and 1777 of 1857 (95.7%) in Resusci Baby. In Resusci Anne and Resusci Baby, 28.9%/15.9% of visible chest rises were evaluated as low-, 33.0%/44.0% as optimal-, and 28.8%/35.8% as high-volume breaths. CONCLUSIONS: Mouth-to-mouth ventilation through a breathable respirator had an effectivity greater than 90%.
- Publikační typ
- časopisecké články MeSH
Free Medical Journals od 2006
Public Library of Science (PLoS) od 2006
PubMed Central od 2006
Europe PubMed Central od 2006
ProQuest Central od 2006-12-01
Open Access Digital Library od 2006-10-01
Open Access Digital Library od 2006-01-01
Open Access Digital Library od 2006-01-01
Medline Complete (EBSCOhost) od 2008-01-01
Nursing & Allied Health Database (ProQuest) od 2006-12-01
Health & Medicine (ProQuest) od 2006-12-01
Public Health Database (ProQuest) od 2006-12-01
ROAD: Directory of Open Access Scholarly Resources od 2006
PubMed
35797331
DOI
10.1371/journal.pone.0270745
Knihovny.cz E-zdroje
Wavelet transform (WT) is a commonly used method for noise suppression and feature extraction from biomedical images. The selection of WT system settings significantly affects the efficiency of denoising procedure. This comparative study analyzed the efficacy of the proposed WT system on real 292 ultrasound images from several areas of interest. The study investigates the performance of the system for different scaling functions of two basic wavelet bases, Daubechies and Symlets, and their efficiency on images artificially corrupted by three kinds of noise. To evaluate our extensive analysis, we used objective metrics, namely structural similarity index (SSIM), correlation coefficient, mean squared error (MSE), peak signal-to-noise ratio (PSNR) and universal image quality index (Q-index). Moreover, this study includes clinical insights on selected filtration outcomes provided by clinical experts. The results show that the efficiency of the filtration strongly depends on the specific wavelet system setting, type of ultrasound data, and the noise present. The findings presented may provide a useful guideline for researchers, software developers, and clinical professionals to obtain high quality images.
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