Spatiotemporal estimation of activation times of fractionated ECGs on complex heart surfaces

Identification of electrical activation or depolarization times on sparsely-sampled complex heart surfaces is of importance to clinicians and researchers in cardiac electrophys-iology. We introduce a spatiotemporal approach for activation time estimation which combines prior results using spatial and temporal methods with our own progress on gradient estimation on triangulated surfaces. Results of the method applied to simulated and canine heart data suggest that improvements are possible using this novel combined approach.

[1]  P F Angelino,et al.  [Computers in cardiology]. , 1980, Minerva medica.

[2]  S Masse,et al.  A Comparison of Unipolar and Bipolar Electrodes During Cardiac Mapping Studies , 1996, Pacing and clinical electrophysiology : PACE.

[3]  M S Spach,et al.  Measuring activation patterns of the heart at a microscopic size scale with thin-film sensors. , 1994, The American journal of physiology.

[4]  M Restivo,et al.  Electrophysiological mechanism of the characteristic electrocardiographic morphology of torsade de pointes tachyarrhythmias in the long-QT syndrome: detailed analysis of ventricular tridimensional activation patterns. , 1997, Circulation.

[5]  B. Taccardi,et al.  Potential distributions and excitation time maps recorded with high spatial resolution from the entire ventricular surface of exposed dog hearts , 1992, Proceedings Computers in Cardiology.

[6]  E. V. Simpson,et al.  The Assumptions of Isochronal Cardiac Mapping , 1989, Pacing and clinical electrophysiology : PACE.

[7]  R. Macleod,et al.  Spatial Methods of Epicardial Activation Time Determination in Normal Hearts , 2003, Annals of Biomedical Engineering.

[8]  P R Ershler,et al.  Measuring spatial waves of repolarization in canine ventricles using high-resolution epicardial mapping. , 1996, Journal of electrocardiology.

[9]  Leo K. Cheng,et al.  The inverse problem of electrocardiography , 2011 .

[10]  R. Macleod,et al.  The Forward Problem of Electrocardiography , 2010 .

[11]  L. Horowitz,et al.  Continuous Local Electrical Activity: A Mechanism of Recurrent Ventricular Tachycardia , 1978, Circulation.

[12]  B. Taccardi,et al.  Alternative methods of excitation time determination on the epicardial surface , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

[13]  B M Steinhaus,et al.  Estimating Cardiac Transmembrane Activation and Recovery Times From Unipolar and Bipolar Extracellular Electrograms: A Simulation Study , 1989, Circulation research.

[14]  M. Spach,et al.  Relating Extracellular Potentials and Their Derivatives to Anisotropic Propagation at a Microscopic Level in Human Cardiac Muscle: Evidence for Electrical Uncoupling of Side‐to‐Side Fiber Connections with Increasing Age , 1986, Circulation research.

[15]  M. Chung,et al.  Three-dimensional mapping of the initiation of nonsustained ventricular tachycardia in the human heart. , 1997, Circulation.

[16]  Dana H. Brooks,et al.  Differential geometric approximation of the gradient and Hessian on a triangulated manifold , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[17]  R. Coronel,et al.  Laplacian Electrograms and the Interpretation of Complex Ventricular Activation Patterns During Ventricular Fibrillation , 2000, Journal of cardiovascular electrophysiology.

[18]  Friedberg Ck.  Computers in cardiology. , 1970 .

[19]  A. van Oosterom,et al.  ECGSIM: an interactive tool for studying the genesis of QRST waveforms , 2004, Heart.

[20]  R C Barr,et al.  Extracellular Potentials Related to Intracellular Action Potentials in the Dog Purkinje System , 1972, Circulation research.