Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jiri Kozumplik"'
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:
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
Publikováno v:
IEEE transactions on bio-medical engineering. 60(2)
In this study, we focused on the reduction of broadband myopotentials (EMG) in ECG signals using the wavelet Wiener filtering with noise-free signal estimation. We used the dyadic stationary wavelet transform (SWT) in the Wiener filter as well as in
Publikováno v:
Computers in Cardiology, 2005.
Voltage-sensitive dyes (VSDs) are used in touch-less recording of electrical activity from animal hearts. Previously, VSDs has been successfully used in myocardial ischemia studies. However, our previous Langendorff perfused heart experiments have su
Autor:
Jiri Kozumplik, Radim Kolar
Publikováno v:
Computational Intelligence. Theory and Applications ISBN: 9783540427322
Fuzzy Days
Fuzzy Days
This contribution present a new approach for ultrasound image segmentation, based on the fuzzy theory. The segmentation is performed on the 2D envelope of radiofrequency (RF) signals instead of the B-mode image. The segmented image is then used to cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fad217b5c485f909f76681cf8e3031c
https://doi.org/10.1007/3-540-45493-4_92
https://doi.org/10.1007/3-540-45493-4_92
Publikováno v:
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
The paper deals with simple approach to digital time-varying ECG filtering. The theoretical presuppositions of the filter performance are described as well as the method of the filter design.
Conference
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