Literature DB >> 14582609

Use of cardiac electric near-field measurements to determine activation times.

G Plank1, E Hofer.   

Abstract

In a recent paper, we described the behavior of the cardiac electric near-field, E, parallel to the tissue surface during continuous conduction. We found that T(E), the time at which the peak near-field, E, occurs, is an accurate marker of local activation time. Examination of experimentally recorded E vector loops revealed a large variety of morphologies. We postulated that propagation around an obstacle could lead to the observed deviations in loop morphology. The purpose of this study was to determine if this was plausible, and if so, whether T(E) remains an accurate time marker of local activation under these conditions. We used a monodomain computer model of a sheet of cardiac tissue with a central conduction obstacle immersed in an unbounded volume conductor. Activation times T(Im), T(phi), and T(E) were derived from the transmembrane current I(m), the extracellular potential phi(e), and E, respectively. The obstacle led to deformations of the vector loops, morphologically similar to those observed experimentally, particularly during the initial and terminal phases, and to a lesser degree near the time of E. Despite these loop deformations, T(E) was an accurate time marker of local activation. We found that T(E) was significantly closer to T(Im) than T(phi). We concluded that isochrone maps computed from T(E) better reflect intracellular activation patterns than those computed from T(phi). For a given electrode spacing of 60 microm, the sensitivity to noise of E was significantly less than that of phi(e). Hence, T(E) was less affected by noise than T(phi).

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Year:  2003        PMID: 14582609     DOI: 10.1114/1.1603258

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  3 in total

1.  Influence of ischemic core muscle fibers on surface depolarization potentials in superfused cardiac tissue preparations: a simulation study.

Authors:  Fernando O Campos; Anton J Prassl; Gunnar Seemann; Rodrigo Weber dos Santos; Gernot Plank; Ernst Hofer
Journal:  Med Biol Eng Comput       Date:  2012-03-13       Impact factor: 2.602

2.  Electroanatomical characterization of atrial microfibrosis in a histologically detailed computer model.

Authors:  Fernando O Campos; Thomas Wiener; Anton J Prassl; Rodrigo Weber dos Santos; Damian Sanchez-Quintana; Helmut Ahammer; Gernot Plank; Ernst Hofer
Journal:  IEEE Trans Biomed Eng       Date:  2013-04-03       Impact factor: 4.538

3.  High-Resolution Measurement of Local Activation Time Differences From Bipolar Electrogram Amplitude.

Authors:  Stephen Gaeta; Tristram D Bahnson; Craig Henriquez
Journal:  Front Physiol       Date:  2021-04-22       Impact factor: 4.566

  3 in total

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