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DETECTION OF VENTRICULAR EXTRASYSTOLES USING HIGH-FREQUENCY COMPONENTS OF ECG

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128181" target="_blank" >RIV/00216305:26220/18:PU128181 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    DETECTION OF VENTRICULAR EXTRASYSTOLES USING HIGH-FREQUENCY COMPONENTS OF ECG

  • Original language description

    Pathology of the ventricular extrasystole is commonly detected by comparing the width and other parameters of the QRS complex. This article represents recognition of extrasystoles using high -frequency ECG components, captured under special conditions. The detection is performed by algorithm in the Matlab programming environment and its output is a map showing the passage of extrasystole through heart and decision whether complex is extrasystolic or physiologic.

  • Czech name

    DETECTION OF VENTRICULAR EXTRASYSTOLES USING HIGH-FREQUENCY COMPONENTS OF ECG

  • Czech description

    Pathology of the ventricular extrasystole is commonly detected by comparing the width and other parameters of the QRS complex. This article represents recognition of extrasystoles using high -frequency ECG components, captured under special conditions. The detection is performed by algorithm in the Matlab programming environment and its output is a map showing the passage of extrasystole through heart and decision whether complex is extrasystolic or physiologic.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • 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 the 24th Conference STUDENT EEICT 2018 8

  • ISBN

    978-80-214-5614-3

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    104-106

  • Publisher name

    Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 26, 2018

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article