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Robust Multichannel QRS Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F14%3A00437709" target="_blank" >RIV/68081731:_____/14:00437709 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26220/14:PU120347

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Robust Multichannel QRS Detection

  • Original language description

    The task of the CinC Challenge 2014 was to develop an algorithm for robust detection of a QRS complex throughout different measurement data. Our proposed approach starts with filtering and detection of the QRS complex in channel with electric activity using standard deviation and defines preliminary QRS annotations. The averaged shape (length of 640 ms) for each channel is found by accumulating data close to preliminary annotations through the whole record (max. 10 minutes). The weight of each averaged shape is computed by average correlation of the shape with its original signal through all preliminary QRS annotations. The correlation of each averaged shape to the corresponding channel is multiplied by its weight and forms a new channel containing the total correlation response channels. The resulting QRS annotations are found by tresholding this total correlation response. The final version of our method leads to results of SE+ = 99.87 and P+ = 99.96 for the Challenge Training data set containing 100 records. The overall score was 73.85 at the end of stage I (using an early version of this method) and 83.73 at the end of stage III.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Computing in Cardiology 2014

  • ISBN

    978-1-4799-4346-3

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    557-560

  • Publisher name

    Computing in Cardiology

  • Place of publication

    Cambridge

  • Event location

    Cambridge

  • Event date

    Sep 7, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000370068300141