• DocumentCode
    2370028
  • Title

    New algorithm for QT dispersion analysis in XYZ-lead Holter ECG. Performance and applications

  • Author

    Caminal, Pere ; Blasi, A. ; Vallverdu, M. ; Viñolas, X. ; Jané, R. ; Laguna, P. ; Pitzalis, M.V. ; Rizzon, P. ; Zareba, W. ; Bayés, A.

  • Author_Institution
    Dep. ESAII, Univ. Politecnica de Catalunya, Barcelona, Spain
  • fYear
    1998
  • fDate
    13-16 Sep 1998
  • Firstpage
    709
  • Lastpage
    712
  • Abstract
    In this paper a new algorithm for automatic analysis of QT dispersion (QTd) in three-lead (X,Y,Z) Holter ECG records is presented. To evaluate its performance the authors have compared automatic with manual annotations using a set of 1000 beats of Holter ECG records from the IDEAL Data Base. The signals have been automatically analyzed and the same beats have been analyzed by two cardiologists. The results obtained show that the reproducibility of the automatic QTd measurement is comparable to manual. QTd has been studied as a discriminator of patients with Dilative Cardiomyopathy from healthy subjects. The authors have found that QTd in 24 hours presents statistically significant differences when comparing subjects from those two groups. They have analyzed also mean and standard deviation of RR, QT and QTc intervals to determine their statistical significance in discriminating subjects from both groups
  • Keywords
    electrocardiography; medical signal processing; 24 h; Dilative Cardiomyopathy patients; Holter ECG; IDEAL Data Base; QT dispersion analysis algorithm; XYZ-lead; automatic annotations; cardiologists; electrodiagnostics; healthy subjects; manual annotations; statistical significance; Algorithm design and analysis; Cardiology; Detectors; Dispersion; Electrocardiography; Heart rate interval; Hospitals; Morphology; Signal analysis; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1998
  • Conference_Location
    Cleveland, OH
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-5200-9
  • Type

    conf

  • DOI
    10.1109/CIC.1998.731972
  • Filename
    731972