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Wyświetlanie 1-20 z 44
Tytuł:
Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction.
Autorzy:
Kahankova R; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic.
Mikolasova M; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic.
Martinek R; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic.
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Źródło:
PloS one [PLoS One] 2022 Apr 11; Vol. 17 (4), pp. e0266807. Date of Electronic Publication: 2022 Apr 11 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Electrocardiography*/methods
Signal Processing, Computer-Assisted*
Algorithms ; Female ; Fetal Monitoring/methods ; Fetus/physiology ; Humans ; Least-Squares Analysis ; Pregnancy
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A novel algorithm based on ensemble empirical mode decomposition for non-invasive fetal ECG extraction.
Autorzy:
Barnova K; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czechia.
Martinek R; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czechia.
Jaros R; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czechia.
Kahankova R; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czechia.
Matonia A; Łukasiewicz Research Network -Institute of Medical Technology and Equipment, Zabrze, Poland.
Jezewski M; Department of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, Gliwice, Poland.
Czabanski R; Department of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, Gliwice, Poland.
Horoba K; Łukasiewicz Research Network -Institute of Medical Technology and Equipment, Zabrze, Poland.
Jezewski J; Łukasiewicz Research Network -Institute of Medical Technology and Equipment, Zabrze, Poland.
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Źródło:
PloS one [PLoS One] 2021 Aug 13; Vol. 16 (8), pp. e0256154. Date of Electronic Publication: 2021 Aug 13 (Print Publication: 2021).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Algorithms*
Abdomen/*physiology
Electrocardiography/*methods
Fetal Monitoring/*methods
Fetus/*physiology
Heart Rate, Fetal/*physiology
Mothers/*statistics & numerical data
Databases, Factual ; Female ; Humans ; Pregnancy ; Signal Processing, Computer-Assisted/instrumentation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part I: Cardiac Signals.
Autorzy:
Martinek R; FEECS, Department of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava, 708 00 Ostrava, Czech Republic.
Ladrova M; FEECS, Department of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava, 708 00 Ostrava, Czech Republic.
Sidikova M; FEECS, Department of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava, 708 00 Ostrava, Czech Republic.
Jaros R; FEECS, Department of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava, 708 00 Ostrava, Czech Republic.
Behbehani K; College of Engineering, The University of Texas in Arlington, Arlington, TX 76019, USA.
Kahankova R; FEECS, Department of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava, 708 00 Ostrava, Czech Republic.
Kawala-Sterniuk A; Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Jul 30; Vol. 21 (15). Date of Electronic Publication: 2021 Jul 30.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Algorithms*
Electrocardiography*
Heart ; Humans ; Signal Processing, Computer-Assisted ; Wavelet Analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Vital Sign Monitoring in Car Seats Based on Electrocardiography, Ballistocardiography and Seismocardiography: A Review.
Autorzy:
Sidikova M; Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17 Listopadu 15, 70800 Ostrava, Czech Republic.
Martinek R; Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17 Listopadu 15, 70800 Ostrava, Czech Republic.
Kawala-Sterniuk A; Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Proszkowska 76, 45-758 Opole, Poland.
Ladrova M; Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17 Listopadu 15, 70800 Ostrava, Czech Republic.
Jaros R; Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17 Listopadu 15, 70800 Ostrava, Czech Republic.
Danys L; Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17 Listopadu 15, 70800 Ostrava, Czech Republic.
Simonik P; Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17 Listopadu 15, 70800 Ostrava, Czech Republic.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Oct 06; Vol. 20 (19). Date of Electronic Publication: 2020 Oct 06.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Automobiles*
Ballistocardiography*
Child Restraint Systems*
Electrocardiography*
Vital Signs*
Heart Rate ; Humans ; Signal Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine.
Autorzy:
Czabanski R; Department of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, PL44100 Gliwice, Poland.
Horoba K; Łukasiewicz Research Network - Institute of Medical Technology and Equipment, PL 41800 Zabrze, Poland.
Wrobel J; Łukasiewicz Research Network - Institute of Medical Technology and Equipment, PL 41800 Zabrze, Poland.
Matonia A; Łukasiewicz Research Network - Institute of Medical Technology and Equipment, PL 41800 Zabrze, Poland.
Martinek R; Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava,708 00 Ostrava-Poruba, Czech Republic.
Kupka T; Łukasiewicz Research Network - Institute of Medical Technology and Equipment, PL 41800 Zabrze, Poland.
Jezewski M; Department of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, PL44100 Gliwice, Poland.
Kahankova R; Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava,708 00 Ostrava-Poruba, Czech Republic.
Jezewski J; Łukasiewicz Research Network - Institute of Medical Technology and Equipment, PL 41800 Zabrze, Poland.
Leski JM; Department of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, PL44100 Gliwice, Poland.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Jan 30; Vol. 20 (3). Date of Electronic Publication: 2020 Jan 30.
Typ publikacji:
Journal Article
MeSH Terms:
Atrial Fibrillation/*diagnosis
Electrocardiography/*methods
Heart Rate/*physiology
Algorithms ; Atrial Fibrillation/physiopathology ; Databases, Factual ; Diagnosis, Computer-Assisted ; Humans ; Signal Processing, Computer-Assisted ; Support Vector Machine
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Comparison of Different Electrocardiography with Vectorcardiography Transformations.
Autorzy:
Jaros R; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic. .
Martinek R; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic. radek.martinek@vsb.cz.
Danys L; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Jul 11; Vol. 19 (14). Date of Electronic Publication: 2019 Jul 11.
Typ publikacji:
Comparative Study; Journal Article
MeSH Terms:
Signal Processing, Computer-Assisted*
Diagnosis, Computer-Assisted/*methods
Electrocardiography/*methods
Vectorcardiography/*methods
Databases, Factual ; Heart Diseases/diagnosis ; Humans ; Linear Models ; Mathematical Computing
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A novel modular fetal ECG STAN and HRV analysis: Towards robust hypoxia detection.
Autorzy:
Martinek R; Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, Ostrava 70833, Czech Republic.
Kahankova R; Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, Ostrava 70833, Czech Republic.
Martin B; Polytech Grenoble, Saint-Martin-d'Hres 38400, France.
Nedoma J; Department of Telecommunications, VSB-Technical University of Ostrava, Ostrava 70833, Czech Republic.
Fajkus M; Department of Telecommunications, VSB-Technical University of Ostrava, Ostrava 70833, Czech Republic.
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Źródło:
Technology and health care : official journal of the European Society for Engineering and Medicine [Technol Health Care] 2019; Vol. 27 (3), pp. 257-287.
Typ publikacji:
Journal Article
MeSH Terms:
Electrocardiography/*methods
Fetal Monitoring/*methods
Fetus/*physiology
Heart Rate, Fetal/*physiology
Hypoxia/*diagnosis
Hypoxia/*physiopathology
Female ; Humans ; Male ; Pregnancy ; Signal Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal.
Autorzy:
Jaros R; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic. .
Martinek R; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic. radek.martinek@vsb.cz.
Kahankova R; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic. .
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2018 Oct 27; Vol. 18 (11). Date of Electronic Publication: 2018 Oct 27.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Signal Processing, Computer-Assisted*
Electrocardiography/*methods
Fetus/*physiology
Algorithms ; Electrodes ; Humans ; Principal Component Analysis ; Wavelet Analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Nature inspired method for noninvasive fetal ECG extraction.
Autorzy:
Raj, Akshaya
Brablik, Jindrich
Kahankova, Radana
Jaros, Rene
Barnova, Katerina
Snasel, Vaclav
Mirjalili, Seyedali
Martinek, Radek
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Temat:
PREGNANT women
ELECTROCARDIOGRAPHY
LABOR (Obstetrics)
ALGORITHMS
TEST systems
SEQUENTIAL analysis
Źródło:
Scientific Reports; 11/23/2022, Vol. 12 Issue 1, p1-14, 14p
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms.
Autorzy:
Martinek, Radek radek.martinek@vsb.cz
Kahankova, Radana
Nazeran, Homer
Konecny, Jaromir
Jezewski, Janusz
Janku, Petr
Bilik, Petr
Zidek, Jan
Nedoma, Jan
Fajkus, Marcel
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Źródło:
Sensors (14248220). May2017, Vol. 17 Issue 5, p1154. 31p.
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring.
Autorzy:
Martinek, Radek
Kahankova, Radana
Jezewski, Janusz
Jaros, Rene
Mohylova, Jitka
Fajkus, Marcel
Nedoma, Jan
Janku, Petr
Nazeran, Homer
Heldt, Thomas
Holden, Arun V.
Fanelli, Andrea
Pokaż więcej
Temat:
ELECTROCARDIOGRAPHY
FETAL monitoring
FETAL heart rate monitoring
BODY mass index
PRINCIPAL components analysis
Źródło:
Frontiers in Physiology; 5/30/2018, p1-25, 25p
Czasopismo naukowe
Szczegóły
Tytuł:
VALIDATION OF A NOVEL FIBER-OPTIC SENSOR SYSTEM FOR MONITORING CARDIORESPIRATORY ACTIVITIES DURING MRI EXAMINATIONS.
Autorzy:
NEDOMA, Jan
FAJKUS, Marcel
NOVAK, Martin
STRBIKOVA, Nela
VASINEK, Vladimir
NAZERAN, Homer
VANUS, Jan
PERECAR, Frantisek
MARTINEK, Radek
Pokaż więcej
Temat:
MAGNETIC resonance imaging
ACCELEROMETERS
AERONAUTICAL instruments
ELECTROCARDIOGRAPHY
OPTICAL fiber detectors
Źródło:
Advances in Electrical & Electronic Engineering; 2017, Vol. 15 Issue 3, p536-543, 8p
Czasopismo naukowe
Szczegóły
Wyświetlanie 1-20 z 44

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