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Neural networks and their application in ECG

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F05%3AA1000DGT" target="_blank" >RIV/61988987:17610/05:A1000DGT - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Neural networks and their application in ECG

  • Original language description

    We show on an example from medical diagnosis that some problems can be solved using simple neural networks. First we define some basic notions from neural network theory. We mention also some basic facts about electrocardiography. Then we use three-layered neural network with backpropagation algorithm to adaptation on classification the patients? ECG signals into two classes and summarize results.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2005

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Electrical Engineering

  • ISSN

    1335-3632

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    56

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    3

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database