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Automatic ECG Artefact Removal from EEG Signals

Mohamed F. Issa

Mohamed F. Issa

  • Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of PannoniaVeszprém, Hungary
  • Department of Scientific Computing, Faculty of Computers and Informatics, Benha UniversityBenha, Egypt
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Issa, Mohamed F.
, 
Gergely Tuboly

Gergely Tuboly

Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of PannoniaVeszprém, Hungary
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Tuboly, Gergely
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György Kozmann

György Kozmann

Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of PannoniaVeszprém, Hungary
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Kozmann, György
 oraz 
Zoltan Juhasz

Zoltan Juhasz

Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of PannoniaVeszprém, Hungary
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Juhasz, Zoltan
  
26 cze 2019
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Data publikacji: 26 cze 2019
Zakres stron: 101 - 108
Otrzymano: 17 gru 2018
Przyjęty: 30 maj 2019
DOI: https://doi.org/10.2478/msr-2019-0016
Słowa kluczowe
© 2019 Mohamed F. Issa et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Issa, Mohamed F.
Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of PannoniaVeszprém, Hungary
Department of Scientific Computing, Faculty of Computers and Informatics, Benha UniversityBenha, Egypt
Tuboly, Gergely
Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of PannoniaVeszprém, Hungary
Kozmann, György
Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of PannoniaVeszprém, Hungary
Juhasz, Zoltan
Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of PannoniaVeszprém, Hungary
Język:
Angielski
Częstotliwość wydawania:
6 razy w roku
Dziedziny czasopisma:
Inżynieria, Elektrotechnika, Inżynieria sterowania, metrologia i testowanie
Kanał RSS czasopisma