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Automatic Extraction of Significant Beats from a Holter Register

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F02%3A03079034" target="_blank" >RIV/68407700:21220/02:03079034 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Extraction of Significant Beats from a Holter Register

  • Original language description

    In this paper, a method to automatically detect and separate the significiant beats from the whole register presented. The method is based on techniques applied to speech processing, such as dynamic programming, trace segmentation, and clustering alghoritms of the fast phase and from the slow component compute slow phase velocity (SPV).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Analysis of Biomedical Signals and Images

  • ISBN

    80-214-2120-7

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    3-5

  • Publisher name

    VUTIUM Press

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 26, 2002

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article