Automated QT interval measurement from multilead ECG signals

Dieter Hayn, Alexander Kollmann, Günter Schreier

    Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

    Abstract

    This paper presents an algorithm for automated QT interval assessment, developed on several databases that provide expert annotations for QRS onset and T offset locations: The PhysioNet QT Database, the CSE Multilead Database, and the PTB Diagnostic ECG Database. The latter was also used for validating the algorithm by taking part in the Computers in Cardiology Challenge 2006. After QRS detection, the QT interval was calculated for each single heart beat of each signal based on a previously developed algorithm. First the QRS onset and T offset were found coarsely for each channel, thereafter exact point detection was applied based on the coarsely found points and finally the results from different channels were combined. We achieved a score of 16.34 when participating in the Computers in Cardiology Challenge 2006, which was the best result of all participants.
    Original languageEnglish
    Title of host publication2006 Computers in Cardiology
    Pages381-384
    Number of pages4
    Publication statusPublished - 2006
    EventComputing in Cardiology 2006 - Conference Center of the University campus Valencia, Valencia, Spain
    Duration: 17 Sept 200620 Sept 2006
    Conference number: 33
    http://www.cinc2006.upv.es/

    Conference

    ConferenceComputing in Cardiology 2006
    Abbreviated titleCinC
    Country/TerritorySpain
    CityValencia
    Period17/09/0620/09/06
    Internet address

    Research Field

    • Exploration of Digital Health

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