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Katerina Barnova

Showing results (1-10 of 13) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Predictive Obstetrics: Electrohysterogram-Based Detection of Preterm LaborKaterina Barnova, Radana Vilimkova Kahankova, Martina Ladrova, et al.
Scientific Reports|January 24, 2025
Smart oxygen monitoring in hospitals: a pilot study during COVID-19Jan Velicka, Martin Pies, Radovan Hajovsky, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Ballistocardiography Signal Quality Assessment Using Machine LearningMartina Ladrova, Dominik Vilimek, Katerina Barnova, et al.
Plos One|August 19, 2022
A comparative study of single-channel signal processing methods in fetal phonocardiographyKaterina Barnova, Radana Kahankova, Rene Jaros, et al.
Artificial Intelligence in Medicine|November 15, 2025
Electrohysterography in modern obstetrics: Advances in signal processing, machine learning, and clinical applicationsKaterina Barnova, Radek Martinek, Jitka Horakova, et al.
IEEE Reviews in Biomedical Engineering|June 2, 2022
A Review of Recent Advances and Future Developments in Fetal PhonocardiographyRadana Kahankova, Martina Mikolasova, Rene Jaros, et al.
BMC Pregnancy and Childbirth|January 16, 2023
Pregnancy in the time of COVID-19: towards Fetal monitoring 4.0Radana Kahankova, Katerina Barnova, Rene Jaros, et al.
Plos One|June 6, 2023
Independent component analysis algorithms for non-invasive fetal electrocardiographyRene Jaros, Katerina Barnova, Radana Vilimkova Kahankova, et al.
BMC Pregnancy and Childbirth|April 24, 2026
Machine learning based classification in obstetrics: evaluating models, partitioning strategies, and key predictors in cardiotocographyRadana Vilimkova Kahankova, Katerina Barnova, Ojan Majidzadeh Gorjani, et al.
Scientific Reports|November 23, 2022
Nature inspired method for noninvasive fetal ECG extractionAkshaya Raj, Jindrich Brablik, Radana Kahankova, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Predictive Obstetrics: Electrohysterogram-Based Detection of Preterm LaborKaterina Barnova, Radana Vilimkova Kahankova, Martina Ladrova, et al.
Scientific Reports|January 24, 2025
Smart oxygen monitoring in hospitals: a pilot study during COVID-19Jan Velicka, Martin Pies, Radovan Hajovsky, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Ballistocardiography Signal Quality Assessment Using Machine LearningMartina Ladrova, Dominik Vilimek, Katerina Barnova, et al.
Plos One|August 19, 2022
A comparative study of single-channel signal processing methods in fetal phonocardiographyKaterina Barnova, Radana Kahankova, Rene Jaros, et al.
Artificial Intelligence in Medicine|November 15, 2025
Electrohysterography in modern obstetrics: Advances in signal processing, machine learning, and clinical applicationsKaterina Barnova, Radek Martinek, Jitka Horakova, et al.
IEEE Reviews in Biomedical Engineering|June 2, 2022
A Review of Recent Advances and Future Developments in Fetal PhonocardiographyRadana Kahankova, Martina Mikolasova, Rene Jaros, et al.
BMC Pregnancy and Childbirth|January 16, 2023
Pregnancy in the time of COVID-19: towards Fetal monitoring 4.0Radana Kahankova, Katerina Barnova, Rene Jaros, et al.
Plos One|June 6, 2023
Independent component analysis algorithms for non-invasive fetal electrocardiographyRene Jaros, Katerina Barnova, Radana Vilimkova Kahankova, et al.
BMC Pregnancy and Childbirth|April 24, 2026
Machine learning based classification in obstetrics: evaluating models, partitioning strategies, and key predictors in cardiotocographyRadana Vilimkova Kahankova, Katerina Barnova, Ojan Majidzadeh Gorjani, et al.
Scientific Reports|November 23, 2022
Nature inspired method for noninvasive fetal ECG extractionAkshaya Raj, Jindrich Brablik, Radana Kahankova, et al.
Pageof 2