• DocumentCode
    2133661
  • Title

    A method of QRS complex detection using multi-scale mathematical morphology

  • Author

    Andrade Saraiva, Arata ; Tacara, Silvio ; Koslowski, Mikhail Anatholy ; Benvenutti Borba, Gustavo ; Sovierzoski, Miguel Antonio

  • Author_Institution
    PPGEB-UTFPR, Curitiba, Brazil
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    936
  • Lastpage
    940
  • Abstract
    The present work is aiming to show the detection of QRS complex from the electrocardiographic signal, having the four stage multi-scale mathematical morphology (4M) as its main method. The model presented is evaluated by a file from the MIT/BIH database and compared with three stage multi-scale morphology (3M). The performance of both methods is shown by the ROC curve, ending the work with a discussion of the methods.
  • Keywords
    electrocardiography; mathematical morphology; medical signal detection; medical signal processing; sensitivity analysis; MIT-BIH database; QRS complex detection method; ROC curve; electrocardiographic signal; four stage multiscale mathematical morphology; with three stage multiscale morphology; QRS complex detection; mathematical morphology; multi-scale mathematical morphology; signal filtering with mathematical morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-1183-0
  • Type

    conf

  • DOI
    10.1109/BMEI.2012.6513009
  • Filename
    6513009