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ECG Signal Denoising Using Wavelet Wiener Filtering

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU88542" target="_blank" >RIV/00216305:26220/10:PU88542 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    ECG Signal Denoising Using Wavelet Wiener Filtering

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of Biosignal 2010: Analysis of Biomedical Signals and Images

  • ISBN

    978-80-214-4106-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    UBMI FEKT VUT v Brně

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 27, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article