• DocumentCode
    139570
  • Title

    An automated algorithm for determining conduction velocity, wavefront direction and origin of focal cardiac arrhythmias using a multipolar catheter

  • Author

    Roney, Caroline H. ; Cantwell, Chris D. ; Qureshi, Norman A. ; Ali, Rheeda L. ; Chang, Eugene T. Y. ; Phang Boon Lim ; Sherwin, Spencer J. ; Peters, Nicholas S. ; Siggers, Jennifer H. ; Fu Siong Ng

  • Author_Institution
    Dept. of Bioeng., Imperial Coll. London, London, UK
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    1583
  • Lastpage
    1586
  • Abstract
    Determining locations of focal arrhythmia sources and quantifying myocardial conduction velocity (CV) are two major challenges in clinical catheter ablation cases. CV, wave-front direction and focal source location can be estimated from multipolar catheter data, but currently available methods are time-consuming, limited to specific electrode configurations, and can be inaccurate. We developed automated algorithms to rapidly identify CV from multipolar catheter data with any arrangement of electrodes, whilst providing estimates of wavefront direction and focal source position, which can guide the catheter towards a focal arrhythmic source. We validated our methods using simulations on realistic human left atrial geometry. We subsequently applied them to clinically-acquired intracardiac electrogram data, where CV and wavefront direction were accurately determined in all cases, whilst focal source locations were correctly identified in 2/3 cases. Our novel automated algorithms can potentially be used to guide ablation of focal arrhythmias in real-time in cardiac catheter laboratories.
  • Keywords
    bioelectric potentials; biomedical electrodes; catheters; data analysis; diseases; electrical conductivity; electrocardiography; feature extraction; geometry; medical computing; medical disorders; parameter estimation; patient treatment; physiological models; real-time systems; velocity; wave propagation; CV estimation; CV quantification; automated algorithm; cardiac catheter laboratory; catheter guidance; clinical catheter ablation cases; clinically-acquired intracardiac electrogram data; conduction velocity determination algorithm; electrode configuration; focal arrhythmia source location determination; focal cardiac arrhythmia origin determination algorithm; focal source location estimation; human left atrial geometry; multipolar catheter; myocardial conduction velocity quantification; real-time focal arrhythmia ablation guidance; simulation; wavefront direction determination algorithm; wavefront direction estimation; Catheters; Electrodes; Mathematical model; Myocardium; Position measurement; Prediction algorithms; Spirals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6943906
  • Filename
    6943906