• DocumentCode
    1684468
  • Title

    Software tool for the analysis of components characteristic for ECG signal

  • Author

    Bernat, Michal ; Piotrowski, Zbigniew

  • Author_Institution
    Fac. of Electron., Mil. Univ. of Technol., Warsaw, Poland
  • fYear
    2015
  • Firstpage
    104
  • Lastpage
    109
  • Abstract
    The authors developed the software tool with user´s interface for designing the complete processing steps of ECG signal: from the filtering, through transformation and decision-making logic up to RR intervals analysis. The algorithm configuration function is replaced by the verification mechanism for R waves recognition efficiency. The program enables to download and process (in one or two-channel system) the signals recorded in the data files, e.g. as MAT-File formats from the test bases and signals from the real equipment (VENTUS system). The project assumption was to create the tool for the optimization of ECG signal preparation process, selection and analysis of R waves, which was achieved. Moreover, the article gives the results of the implemented algorithm efficiency as for the recognition of R waves in the ECG biological signal.
  • Keywords
    Rayleigh waves; electrocardiography; filtering theory; medical signal processing; software tools; ECG biological signal; ECG signal preparation process; MAT-file formats; R waves analysis; R waves recognition efficiency; R waves selection; RR intervals analysis; VENTUS system; algorithm configuration function; components characteristic analysis; decision-making logic; filtering; software tool; user interface; verification mechanism; Algorithm design and analysis; Databases; Electrocardiography; Filtering; Heart rate; Lead; Signal processing algorithms; ECG; R detection; filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed Design of Integrated Circuits & Systems (MIXDES), 2015 22nd International Conference
  • Conference_Location
    Torun
  • Print_ISBN
    978-8-3635-7806-0
  • Type

    conf

  • DOI
    10.1109/MIXDES.2015.7208490
  • Filename
    7208490