DocumentCode :
746316
Title :
Use of the ventricular propagated excitation model in the magnetocardiographic inverse problem for reconstruction of electrophysiological properties
Author :
Ohyu, Shigeharu ; Okamoto, Yoshiwo ; Kuriki, Shinya
Author_Institution :
Med. Syst. Res. & Dev. Center, Toshiba Corp., Tochigi, Japan
Volume :
49
Issue :
6
fYear :
2002
fDate :
6/1/2002 12:00:00 AM
Firstpage :
509
Lastpage :
519
Abstract :
A novel magnetocardiographic inverse method for reconstructing the action potential amplitude (APA) and the activation time (AT) on the ventricular myocardium is proposed. This method is based on the propagated excitation model, in which the excitation is propagated through the ventricle with nonuniform height of action potential. Assumption of stepwise waveform on the transmembrane potential was introduced in the model. Spatial gradient of transmembrane potential, which is defined by APA and AT distributed in the ventricular wall, is used for the computation of a current source distribution. Based on this source model, the distributions of APA and AT are inversely reconstructed from the QRS interval of magnetocardiogram (MCG) utilizing a maximum a posteriori approach. The proposed reconstruction method was tested through computer simulations. Stability of the methods with respect to measurement noise was demonstrated. When reference APA was provided as a uniform distribution, root-mean-square errors of estimated APA were below 10 mV for MCG signal-to-noise ratios greater than, or equal to, 20 dB. Low-amplitude regions located at several sites in reference APA distributions were correctly reproduced in reconstructed APA distributions. The goal of our study is to develop a method for detecting myocardial ischemia through the depression of reconstructed APA distributions.
Keywords :
bioelectric potentials; digital simulation; diseases; inverse problems; magnetocardiography; medical signal processing; physiological models; signal reconstruction; 10 mV; 20 dB; QRS interval; computer simulations; electrophysiological properties reconstruction; magnetocardiographic inverse problem; maximum a posteriori approach; measurement noise; methods stability; myocardial ischemia; myocardial ischemia detection; root-mean-square errors; stepwise waveform assumption; uniform distribution; ventricular propagated excitation model; Computer errors; Computer simulation; Distributed computing; Inverse problems; Magnetic properties; Myocardium; Noise measurement; Reconstruction algorithms; Stability; Testing; Action Potentials; Body Surface Potential Mapping; Computer Simulation; Electric Conductivity; Electrocardiography; Heart Conduction System; Humans; Magnetic Resonance Imaging; Magnetics; Models, Cardiovascular; Reproducibility of Results; Sensitivity and Specificity; Stochastic Processes;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2002.1001964
Filename :
1001964
Link To Document :
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