Estimation of conduction velocity vector fields from epicardial mapping data. Export

@article{citeulike:2295195, 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 x 22 and 24 x 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.}, address = {Department of Mechanical Engineering, Washington University, St. Louis, MO 63130, USA. pvb@mecf.wustl.edu}, author = {Bayly, P. V. and KenKnight, B. H. and Rogers, J. M. and Hillsley, R. E. and Ideker, R. E. and Smith, W. M.}, citeulike-article-id = {2295195}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/9581054}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=9581054}, issn = {0018-9294}, journal = {IEEE Trans Biomed Eng}, keywords = {analysis, conduction\_velocity, cv, rvpacing, techniques}, month = {May}, number = {5}, pages = {563--571}, posted-at = {2008-01-27 18:11:53}, priority = {4}, title = {Estimation of conduction velocity vector fields from epicardial mapping data.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/9581054}, volume = {45}, year = {1998} }

TY - JOUR ID - citeulike:2295195 L3 - citeulike-article-id:2295195 N2 - 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 x 22 and 24 x 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. IS - 5 JF - IEEE Trans Biomed Eng SN - 0018-9294 AD - Department of Mechanical Engineering, Washington University, St. Louis, MO 63130, USA. pvb@mecf.wustl.edu EP - 571 TI - Estimation of conduction velocity vector fields from epicardial mapping data. VL - 45 SP - 563 KW - analysis KW - conduction_velocity KW - cv KW - rvpacing KW - techniques AU - Bayly, PV AU - KenKnight, BH AU - Rogers, JM AU - Hillsley, RE AU - Ideker, RE AU - Smith, WM PY - 1998/05// UR - http://view.ncbi.nlm.nih.gov/pubmed/9581054 ER -