Publication detail

MUSCLE NOISE FILTERING IN ECG SIGNAL

NOVOTNÝ, J. SMITAL, L.

Original Title

MUSCLE NOISE FILTERING IN ECG SIGNAL

English Title

MUSCLE NOISE FILTERING IN ECG SIGNAL

Type

conference paper

Language

Czech

Original 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.

English 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

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

Key words in English

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

Authors

NOVOTNÝ, J.; SMITAL, L.

RIV year

2015

Released

23. 4. 2015

Location

Brno

ISBN

978-80-214-5148-3

Book

Proceedings of the 21st Conference STUDENT EEICT 2015

Pages from

261

Pages to

263

Pages count

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/"
}