• DocumentCode
    2820529
  • Title

    Local electrical characterisation of human atrial fibrillation

  • Author

    Kirchner, M. ; Faes, L. ; Olivetti, E. ; Riccardi, R. ; Scaglione, M. ; Gaita, F. ; Antolin, R.

  • Author_Institution
    Dipt. di Fisica, Trento Univ., Italy
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    499
  • Lastpage
    502
  • Abstract
    The rate of success of radio-frequency catheter ablation in the treatment of atrial fibrillation may be significantly improved by evaluating the local electrical properties of the atrial tissue. The aim of this study is the development of an automatic procedure for the characterisation of the local electrical activity during atrial fibrillation and the comparison of its performance with the manual analysis. The adopted procedures were the semi-automatic measurement of the local fibrillation intervals (A-A intervals) and the manual electrogram classification following the criteria suggested by Wells (1978) or Konings (1997). Two methods have been used: Principal Component Analysis and Cluster Analysis. Cross-validation of automatic results with manual analysis (percentage of type I activations in 90 sec) gives nearly 90% of accuracy for both methods. A larger database is needed to improve the clinical value of the authors´ approach
  • Keywords
    electrocardiography; medical signal processing; principal component analysis; 90 s; A-A intervals; automatic procedure; clinical value; cluster analysis; electrodiagnostics; human atrial fibrillation; local electrical characterisation; local fibrillation intervals; radio-frequency catheter ablation success rate; Atrial fibrillation; Cardiology; Catheters; Disk recording; Electrodes; Humans; Physics; Position measurement; Radio frequency; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 2000
  • Conference_Location
    Cambridge, MA
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-6557-7
  • Type

    conf

  • DOI
    10.1109/CIC.2000.898567
  • Filename
    898567