Original title: Muscle Noise Filtering in ECG Signal
Authors: Novotný, J.
Document type: Papers
Language: cze
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This work deals with muscle noise filtering in ECG signals using wiener filtration and optimization of Wiener filter numerical parameters. The optimization was performed by using the exhaustive search method, which belongs to the brute force methods and seeks the global solution. The Criterial function in the optimization process was the average SNR of filtered signals. The testing was performed on 20 random signals from the CSE database. The testing has shown that the greatest difference between the input SNR and the average output SNR was at the minimum input SNR.
Keywords: optimization; standard database of CSE; wavelet transform; Wiener filter
Host item entry: Proceedings of the 21st Conference STUDENT EEICT 2015, ISBN 978-80-214-5148-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/42995

Permalink: http://www.nusl.cz/ntk/nusl-207186


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers