DocumentCode :
1154813
Title :
The use of temporal information in the regularization of the inverse problem of electrocardiography
Author :
Oster, Howard S. ; Rudy, Yoram
Author_Institution :
Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
Volume :
39
Issue :
1
fYear :
1992
Firstpage :
65
Lastpage :
75
Abstract :
The inverse problem of electrocardiography is solved in order to reconstruct electrical events within the heart from information measured noninvasively on the body surface. These electrical events can be deduced from measured epicardial potentials; therefore, a noninvasive method of recovering epicardial potentials from body surface data is useful in clinical and experimental work. The ill-posed nature of this problem necessitates the use of regularization in the solution procedure. Inversion using Tihonov zero-order regularization, a quasi-static method, had been employed previously and was able to reconstruct, with relatively good accuracy, important events in cardiac excitation (maxima, minima, etc.). Taking advantage of the fact that the process of cardiac excitation is continuous in time, one can incorporate information from the time progression of excitation in the regularization procedure using the Twomey technique. Methods of this type were tested on data obtained from a human-torso tank in which a beating canine heart was placed. The results show a marked improvement in the inverse solution when these temporal methods are used.
Keywords :
electrocardiography; inverse problems; ECG inverse problem regularization; Tihonov zero-order regularization; Twomey technique; beating canine heart; cardiac excitation; electrical events reconstruction; human-torso tank; measured epicardial potentials; quasi-static method; temporal information; Biomedical measurements; Drugs; Electric variables measurement; Electrocardiography; Heart; Humans; Inverse problems; Myocardium; Surface reconstruction; Testing; Action Potentials; Child; Electrocardiography; Evaluation Studies as Topic; Humans; Male; Mathematics; Signal Processing, Computer-Assisted; Time Factors;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.108129
Filename :
108129
Link To Document :
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