• DocumentCode
    3562332
  • Title

    Analysis of electrogram complexity during atrial fibrillation for ablation duration assessment

  • Author

    Kosna, Katarzyna ; Podziemski, Piotr ; Wilson, Lauren ; Stolcman, Simon ; Sanders, Prashanthan ; Gieraltowski, Jan ; Zebrowski, Jan J. ; Kuklik, Pawel

  • Author_Institution
    Fac. of Phys., Warsaw Univ. of Technol., Warsaw, Poland
  • fYear
    2014
  • Firstpage
    1121
  • Lastpage
    1124
  • Abstract
    The aim of this study was to assess the reliability of the complexity analysis of single electrogram as an estimator of the length of the ablation procedure necessary for AF termination. Left and right atrial endocardial bipolar electrograms were recorded during ablation procedure of AF in 27 patients. Up to 30 second electrogram samples were measured at baseline, after each stage of ablation (LP V, roof, CFAE etc.) and prior to termination. For each electrogram, algorithmic complexity was calculated. Electrograms had significantly lower algorithmic complexity for patients who had two or less ablation stages performed than for patients for whom more than two ablation stage was performed (p <; 0.001). ROC analysis showed 100% statistical sensitivity for 81% statistical specificity. These results show that algorithmic complexity increases with a number of ablation stages needed to terminate AF, which is related with the duration of the ablation procedure.
  • Keywords
    computational complexity; data analysis; diseases; electrocardiography; medical computing; radiation therapy; sensitivity analysis; statistical analysis; AF ablation duration assessment; AF termination; CFAE ablation stage; LP V ablation stage; ROC analysis; ablation procedure length estimator; ablation stage number; ablation termination; algorithmic complexity calculation; atrial fibrillation; baseline measurement; complexity analysis reliability assessment; endocardial bipolar electrogram recording; left atrial endocardial bipolar electrogram; right atrial endocardial bipolar electrogram; roof ablation stage; single electrogram complexity analysis; statistical sensitivity; statistical specificity; time 30 s; Abstracts; Algorithm design and analysis; Analysis of variance; Complexity theory; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2014
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-4346-3
  • Type

    conf

  • Filename
    7043244