Deconvolution and wavelet-based methods for membrane current estimation from simulated fractionated electrograms

In infarcted myocardium, extracellular recordings exhibit multiple deflections due to irregular pathway of the electric impulse. In this work the problem of distinguishing local from distant deflections is tackled. In order to evaluate the proposed methods in a controlled setting, simulated data are...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering Vol. 48; no. 3; pp. 294 - 301
Main Authors: Chouvarda, I., Maglaveras, N., de Bakker, J.M.T., van Capelle, F.J.L., Pappas, C.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.03.2001
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Animals
Biological and medical sciences
Biomembranes
Cardiology. Vascular system
Computer Simulation
Coronary heart disease
Deconvolution
Electric Impedance
Electrocardiography
Extracellular
Filtering
Fractionation
Heart
Heart - physiology
Humans
Kinetic theory
Local activities
Medical sciences
Methods
Models, Cardiovascular
Myocardial Infarction - diagnosis
Myocardium
Robustness
Signal Processing, Computer-Assisted
Spatial filters
Studies
Transmembrane current
Infarct
Pathophysiology
Cardiovascular disease
Coronary heart disease
Myocardial disease
Extracellular
Electrodiagnosis
Deconvolution
Simulation
Wavelet transformation
Electrocardiography
Myocardium
Signal analysis
Activation analysis
ISSN:0018-9294, 1558-2531
Online Access:Get full text
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Summary:In infarcted myocardium, extracellular recordings exhibit multiple deflections due to irregular pathway of the electric impulse. In this work the problem of distinguishing local from distant deflections is tackled. In order to evaluate the proposed methods in a controlled setting, simulated data are used, following both Reeler-Reuter and Luo-Rudy kinetics. The input is an array of electrograms positioned on grid-points of a rectangular grid and the output is an array of estimates of the membrane current. First, deconvolution techniques are used in the form of spatial filtering for membrane current estimation from the extracellular recordings. Second, the extracellular recordings undergo wavelet based transformation, followed by a spatial filter which enhances local activity deflections and suppresses distant activity deflections. It is shown that wavelet filtering of the extracellular recordings acts as an evaluator of the efficiency of the deconvolution techniques for the membrane current estimation. Subsequently, activation times based on the results from the two methods are used for the reconstruction of the propagation pattern in a zig-zag case in two-dimensional grids. It is shown that the wavelet-based method is more robust, and can work well even in cases where the grid interval in the y direction is four times larger than the single cell size.
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ISSN:0018-9294
1558-2531
DOI:10.1109/10.914792