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Monitoring of Cardiac Arrhythmia Patterns by Adaptive Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F17%3A00315063" target="_blank" >RIV/68407700:21220/17:00315063 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-49109-7_86" target="_blank" >http://dx.doi.org/10.1007/978-3-319-49109-7_86</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-49109-7_86" target="_blank" >10.1007/978-3-319-49109-7_86</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Monitoring of Cardiac Arrhythmia Patterns by Adaptive Analysis

  • Original language description

    In this paper, a study and development of a monitoring adaptive system based on dynamic quadratic neural unit are presented. The system is trained with a recurrent learning method, sample-by-sample in real time. This model will help to the prediction of possible cardiac arrhythmias in patients between 23 to 89 years old, age range of the electrocardiogram signals obtained from the Massachusetts Institute of Technology-Beth Israel Hospital arrhythmia database. By means of the implementation of this adaptive monitoring system the model is capable of processing heart rate signals in real time and to recognize patterns that predict cardiac arrhythmias up to 1 second ahead. The Dynamic Quadratic Neural Unit in real time has demonstrated presenting greater efficiency and precision comparing with multilayer perceptron-type neural networks for pattern classification and prediction; in addition, this architecture has demonstrated in developed research, to be superior to other different type of adaptive architectures.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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

    ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING

  • ISBN

    978-3-319-49108-0

  • ISSN

    2367-4512

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    885-894

  • Publisher name

    Springer International Publishing AG

  • Place of publication

    Cham

  • Event location

    Soonchunhyang Univ, Asan,

  • Event date

    Nov 5, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000402860200086