Detail publikačního výsledku

ECG Signal Denoising Using Wavelet Wiener Filtering

SMITAL, L.; KOZUMPLÍK, J.

Originální název

ECG Signal Denoising Using Wavelet Wiener Filtering

Anglický název

ECG Signal Denoising Using Wavelet Wiener Filtering

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The paper deals with the methods of ECG signals denoising via wavelet transform. We focus on the WienerShrink method. We have studied influence of input parameters setting on the filtered signal in consideration of achieved signal-to-noise ratio (SNR) and output signal distortion. The algorithm was implemented in MATLAB and tested on signals from CSE database.

Anglický abstrakt

The paper deals with the methods of ECG signals denoising via wavelet transform. We focus on the WienerShrink method. We have studied influence of input parameters setting on the filtered signal in consideration of achieved signal-to-noise ratio (SNR) and output signal distortion. The algorithm was implemented in MATLAB and tested on signals from CSE database.

Klíčová slova

ECG signál, filtering, wavelet transform, Wiener filter, surface EMG signal

Klíčová slova v angličtině

ECG signál, filtering, wavelet transform, Wiener filter, surface EMG signal

Autoři

SMITAL, L.; KOZUMPLÍK, J.

Rok RIV

2011

Vydáno

28.06.2010

Nakladatel

UBMI FEKT VUT v Brně

Místo

Brno

ISBN

978-80-214-4106-4

Kniha

Proceedings of Biosignal 2010: Analysis of Biomedical Signals and Images

Strany od

364

Strany do

368

Strany počet

5

BibTex

@inproceedings{BUT35721,
  author="Lukáš {Smital} and Jiří {Kozumplík}",
  title="ECG Signal Denoising Using Wavelet Wiener Filtering",
  booktitle="Proceedings of Biosignal 2010: Analysis of Biomedical Signals and Images",
  year="2010",
  number="20",
  pages="364--368",
  publisher="UBMI FEKT VUT v Brně",
  address="Brno",
  isbn="978-80-214-4106-4"
}