• DocumentCode
    674506
  • Title

    Detection of electrode interchange in precordial and orthogonal ECG leads

  • Author

    Jekova, Irena ; Krasteva, Vessela ; Abacherli, Roger

  • Author_Institution
    Inst. of Biophys. & Biomed. Eng., Sofia, Bulgaria
  • fYear
    2013
  • fDate
    22-25 Sept. 2013
  • Firstpage
    519
  • Lastpage
    522
  • Abstract
    This study presents methods for automated detection of interchanged precordial and orthogonal ECG leads that may prevent from incorrect diagnosis and treatment. For precordial leads V1-V6, correlation coefficients of QRS-T patterns and time-alignment of R and S-peaks are assessed. For orthogonal leads (X,Y,Z), analysis of QRS loops in the frontal plane, a set of correlation coefficients and a time-alignment of leads are implemented. The methods are elaborated using 15-lead ECG databases - 77 healthy control recordings from PTB database (training), and the total set of 1220 ECGs in CSE database with various arrhythmias (test). The specificity (Sp) for detection of the correct precordial leads configuration (V1 to V6) is 93.5% (training) and 91% (test) and the mean sensitivity (Se) for 23 simulated most common chest electrode swaps is 95.7% (training) and 95% (test). Sp for detection of the correct orthogonal leads X,Y,Z is 98.7% (training) and 93.3% (test), while mean Se for 47 reversals of electrode couples A/I, F/H, M/E is 98.5%, equal for both training and test databases.
  • Keywords
    biomedical electrodes; correlation methods; electrocardiography; medical signal processing; patient diagnosis; 15-lead ECG databases; PTB database; QRS-T patterns; automated detection; chest electrode; correlation coefficients; electrode interchange detection; incorrect diagnosis; incorrect treatment; mean sensitivity; orthogonal ECG leads; precordial ECG leads; time alignment; Abstracts; Accuracy; Databases; Electrocardiography; Electrodes; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2013
  • Conference_Location
    Zaragoza
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-0884-4
  • Type

    conf

  • Filename
    6713428