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Automated detection of retinal venous pulsations from video sequences

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124404" target="_blank" >RIV/00216305:26220/17:PU124404 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automated detection of retinal venous pulsations from video sequences

  • Original language description

    The aim of this paper is to propose a method of automated detection and parametrization of spontaneous venous pulsations, that can occur in patients with various degrees of glaucoma. The method uses uncompressed video sequences acquired from fundus video-ophthalmoscope. A parameter is then acquired and tested for correlation with occurrence of spontaneous venous pulsations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

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 23rd Conference STUDENT EEICT 2017.

  • ISBN

    978-80-214-5496-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    670-674

  • Publisher name

    Vysoké učení technické v Brně, 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