• DocumentCode
    1364789
  • Title

    Estimation of conduction velocity vector fields from epicardial mapping data

  • Author

    Bayly, Philip V. ; KenKnight, Bruce H. ; Rogers, Jack M. ; Hillsley, Russel E. ; Ideker, Raymond E. ; Smith, William M.

  • Author_Institution
    Dept. of Mech. Eng., Washington Univ., St. Louis, MO, USA
  • Volume
    45
  • Issue
    5
  • fYear
    1998
  • fDate
    5/1/1998 12:00:00 AM
  • Firstpage
    563
  • Lastpage
    571
  • Abstract
    An automated method to estimate vector fields of propagation velocity from observed epicardial extracellular potentials is introduced. The method relies on fitting polynomial surfaces T(x,y) to the space-time (x,y,t) coordinates of activity, Both speed and direction of propagation are computed from the gradient of the local polynomial surface. The components of velocity, which are total derivatives, are expressed in terms of the partial derivatives which comprise the gradient of T. The method was validated on two-dimensional (2-D) simulations of propagation and then applied to cardiac mapping data. Conduction velocity was estimated at multiple epicardial locations during sinus rhythm, pacing, and ventricular fibrillation (VF) in pigs. Data were obtained via a 528-channel mapping system from 23×22 and 24×21 arrays of unipolar electrodes sutured to the right ventricular epicardium. Velocity estimates are displayed as vector fields and are used to characterize propagation qualitatively and quantitatively during both simple and complex rhythms.
  • Keywords
    electrocardiography; medical signal processing; polynomials; vectors; velocity measurement; cardiac mapping data; complex rhythms; conduction velocity vector fields estimation; epicardial mapping data; pacing; partial derivatives; pigs; polynomial surfaces fitting; simple rhythms; sinus rhythm; unipolar electrodes arrays; ventricular fibrillation; Associate members; Cardiology; Computational modeling; Extracellular; Fibrillation; Lifting equipment; Polynomials; Rhythm; Surface fitting; Two dimensional displays; Animals; Body Surface Potential Mapping; Cardiac Pacing, Artificial; Least-Squares Analysis; Models, Cardiovascular; Neural Conduction; Pericardium; Reference Values; Retrospective Studies; Swine; Ventricular Fibrillation;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.668746
  • Filename
    668746