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Recurrence Quantication Analysis: A Promising Method for Data Evaluation in Medicine

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F14%3A00221919" target="_blank" >RIV/68407700:21460/14:00221919 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Recurrence Quantication Analysis: A Promising Method for Data Evaluation in Medicine

  • Original language description

    Introduction: This paper describes principles of a promising method for medical data analysis called recurrence analysis, which is based on the chaos theory that better describes processes in the living organisms. Methods: Phase space reconstruction andrecurrence analysis are explained in brief. The main part of the work focuses on recurrence plot, which is a basic tool for recurrence analysis. Conclusion: Possible clinical applications of recurrence analysis in the eld of medicine are discussed and ashort overview of pilot projects performed by our team on this topic is given.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    European Journal for Biomedical Informatics

  • ISSN

    1801-5603

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    6

  • Pages from-to

    35-40

  • UT code for WoS article

  • EID of the result in the Scopus database