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Detection of P Wave During Second-Degree Atrioventricular Block in Ecg Signals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU123420" target="_blank" >RIV/00216305:26220/17:PU123420 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of P Wave During Second-Degree Atrioventricular Block in Ecg Signals

  • Original language description

    Automatic detection of P wave during the second-degree AV block is the main condition for automatic detection of this pathology. This work deals with developing of the algorithm for P wave detection. The algorithm is appropriate for ECG signals with AV block as well as signals with other rhythm types (it does not produce false positive P wave detections). For P wave detection, the phasor transform is applied and several innovative rules are created. These rules are based on knowledge of heart manifestation during both physiological and pathological heart function. The proposed algorithm consists of four parts – filtration, QRS complex detection, application of rules, and P wave detection. The accuracy of the P wave detection algorithm is 99.84 % for signals with AV block, and 99.85 % for signals without any pathologies.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • 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 23st Conference STUDENT EEICT 2017

  • ISBN

    978-80-214-5496-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    655-659

  • Publisher name

    Vysoké učení technické, Fakulta elektrotechniky a komunikačních technologií

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 27, 2017

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article