Detail publikace

MUSCLE NOISE FILTERING IN ECG SIGNAL

NOVOTNÝ, J. SMITAL, L.

Originální název

MUSCLE NOISE FILTERING IN ECG SIGNAL

Anglický název

MUSCLE NOISE FILTERING IN ECG SIGNAL

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

čeština

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Wiener filter, wavelet transform, optimization, standard database of CSE

Klíčová slova v angličtině

Wiener filter, wavelet transform, optimization, standard database of CSE

Autoři

NOVOTNÝ, J.; SMITAL, L.

Rok RIV

2015

Vydáno

23. 4. 2015

Místo

Brno

ISBN

978-80-214-5148-3

Kniha

Proceedings of the 21st Conference STUDENT EEICT 2015

Strany od

261

Strany do

263

Strany počet

3

URL

http://eeict.feec.vutbr.cz/

BibTex

@inproceedings{BUT131687,
  author="Jiří {Novotný} and Lukáš {Smital}",
  title="MUSCLE NOISE FILTERING IN ECG SIGNAL",
  booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015",
  year="2015",
  pages="261--263",
  address="Brno",
  isbn="978-80-214-5148-3",
  url="http://eeict.feec.vutbr.cz/"
}