Literature DB >> 24772193

A Simplified Approach for Simultaneous Measurements of Wavefront Velocity and Curvature in the Heart Using Activation Times.

Nachaat Mazeh1, David E Haines2, Matthew W Kay3, Bradley J Roth4.   

Abstract

The velocity and curvature of a wave front are important factors governing the propagation of electrical activity through cardiac tissue, particularly during heart arrhythmias of clinical importance such as fibrillation. Presently, no simple computational model exists to determine these values simultaneously. The proposed model uses the arrival times at four or five sites to determine the wave front speed (v), direction (θ), and radius of curvature (ROC) (r0). If the arrival times are measured, then v, θ, and r0 can be found from differences in arrival times and the distance between these sites. During isotropic conduction, we found good correlation between measured values of the ROC r0 and the distance from the unipolar stimulus (r = 0.9043 and p < 0.0001). The conduction velocity (m/s) was correlated (r = 0.998, p < 0.0001) using our method (mean = 0.2403, SD = 0.0533) and an empirical method (mean = 0.2352, SD = 0.0560). The model was applied to a condition of anisotropy and a complex case of reentry with a high voltage extra stimulus. Again, results show good correlation between our simplified approach and established methods for multiple wavefront morphologies. In conclusion, insignificant measurement errors were observed between this simplified approach and an approach that was more computationally demanding. Accuracy was maintained when the requirement that ε (ε = b/r0, ratio of recording site spacing over wave fronts ROC) was between 0.001 and 0.5. The present simplified model can be applied to a variety of clinical conditions to predict behavior of planar, elliptical, and reentrant wave fronts. It may be used to study the genesis and propagation of rotors in human arrhythmias and could lead to rotor mapping using low density endocardial recording electrodes.

Entities:  

Keywords:  Anisotropy; Cardiac muscle; Electrode; Propagation velocity; Wave front curvature

Year:  2013        PMID: 24772193      PMCID: PMC3998731          DOI: 10.1007/s13239-013-0158-2

Source DB:  PubMed          Journal:  Cardiovasc Eng Technol        ISSN: 1869-408X            Impact factor:   2.495


  28 in total

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Authors:  O Berenfeld; A M Pertsov
Journal:  J Theor Biol       Date:  1999-08-21       Impact factor: 2.691

2.  How the anisotropy of the intracellular and extracellular conductivities influences stimulation of cardiac muscle.

Authors:  B J Roth
Journal:  J Math Biol       Date:  1992       Impact factor: 2.259

3.  Spatial methods of epicardial activation time determination in normal hearts.

Authors:  Bonnie B Punske; Quan Ni; Robert L Lux; Robert S MacLeod; Philip R Ershler; Theodore J Dustman; Matthew J Allison; Bruno Taccardi
Journal:  Ann Biomed Eng       Date:  2003 Jul-Aug       Impact factor: 3.934

4.  Electrical conductivity values used with the bidomain model of cardiac tissue.

Authors:  B J Roth
Journal:  IEEE Trans Biomed Eng       Date:  1997-04       Impact factor: 4.538

5.  Electrode for recording direction of activation, conduction velocity, and monophasic action potential of myocardium.

Authors:  S M Horner; Z Vespalcova; M J Lab
Journal:  Am J Physiol       Date:  1997-04

6.  Circus movement in rabbit atrial muscle as a mechanism of tachycardia. III. The "leading circle" concept: a new model of circus movement in cardiac tissue without the involvement of an anatomical obstacle.

Authors:  M A Allessie; F I Bonke; F J Schopman
Journal:  Circ Res       Date:  1977-07       Impact factor: 17.367

7.  Vector mapping of myocardial activation.

Authors:  A H Kadish; J F Spear; J H Levine; R F Hanich; C Prood; E N Moore
Journal:  Circulation       Date:  1986-09       Impact factor: 29.690

8.  Spiral waves of excitation underlie reentrant activity in isolated cardiac muscle.

Authors:  A M Pertsov; J M Davidenko; R Salomonsz; W T Baxter; J Jalife
Journal:  Circ Res       Date:  1993-03       Impact factor: 17.367

9.  A mechanism for the upper limit of vulnerability.

Authors:  Nachaat Mazeh; Bradley J Roth
Journal:  Heart Rhythm       Date:  2008-11-17       Impact factor: 6.343

10.  How hyperpolarization and the recovery of excitability affect propagation through a virtual anode in the heart.

Authors:  Nicholas P Charteris; Bradley J Roth
Journal:  Comput Math Methods Med       Date:  2011-01-13       Impact factor: 2.238

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  4 in total

1.  Multivariate regression methods for estimating velocity of ictal discharges from human microelectrode recordings.

Authors:  Jyun-You Liou; Elliot H Smith; Lisa M Bateman; Guy M McKhann; Robert R Goodman; Bradley Greger; Tyler S Davis; Spencer S Kellis; Paul A House; Catherine A Schevon
Journal:  J Neural Eng       Date:  2017-08       Impact factor: 5.379

2.  Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.

Authors:  C D Cantwell; C H Roney; F S Ng; J H Siggers; S J Sherwin; N S Peters
Journal:  Comput Biol Med       Date:  2015-04-25       Impact factor: 4.589

3.  A technique for measuring anisotropy in atrial conduction to estimate conduction velocity and atrial fibre direction.

Authors:  Caroline H Roney; John Whitaker; Iain Sim; Louisa O'Neill; Rahul K Mukherjee; Orod Razeghi; Edward J Vigmond; Matthew Wright; Mark D O'Neill; Steven E Williams; Steven A Niederer
Journal:  Comput Biol Med       Date:  2018-11-01       Impact factor: 4.589

Review 4.  Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate.

Authors:  Sam Coveney; Chris Cantwell; Caroline Roney
Journal:  Med Biol Eng Comput       Date:  2022-07-22       Impact factor: 3.079

  4 in total

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