Literature DB >> 15535052

Estimation of distance between a unipolar recording electrode and a myocardial bundle based on signal characteristics.

I Chouvarda1, N Maglaveras, C Pappas, F J L VAN Capelle, J DeBakker.   

Abstract

The aim of the present paper, is the estimation of the distance between an electrode used as a recording site of the extracellular potential field and a surviving myocardial bundle. The importance of the reliable solution of this problem lies among others in controlling ablation. For our purposes one-dimensional propagation is considered and current sources are activated along a cable simulating the propagating waves with constant velocity. Different models of current sources are explored. By use of these models, the corresponding functions expressing extracellular potentials are calculated, using the volume conductor equation. This way, extracellular potentials are modeled as parametric functions of longitudinal distance, while perpendicular distance, current source strength, and other factors related to the propagated wave are parameters of the functions. Simulated annealing is applied for model parameter estimation and appropriate Time Domain and Wavelet Domain cost functions are investigated. Different combinations of model and cost function are evaluated regarding the accuracy of distance estimation. A continuous source model function with a wavelet cost function was found to be the most accurate combination. The accuracy of distance estimation is related to the selected source model and to the actual distance of recording in a nonmonotonic way.

Mesh:

Year:  2004        PMID: 15535052     DOI: 10.1114/b:abme.0000042222.90548.00

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


  2 in total

1.  Decomposition of fractionated local electrograms using an analytic signal model based on sigmoid functions.

Authors:  Thomas Wiener; Fernando O Campos; Gernot Plank; Ernst Hofer
Journal:  Biomed Tech (Berl)       Date:  2012-10       Impact factor: 1.411

2.  Interpreting Activation Mapping of Atrial Fibrillation: A Hybrid Computational/Physiological Study.

Authors:  Francisco Sahli Costabal; Junaid A B Zaman; Ellen Kuhl; Sanjiv M Narayan
Journal:  Ann Biomed Eng       Date:  2017-12-06       Impact factor: 3.934

  2 in total

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