NDLI: Non-invasive estimation of myocardial infarction by means of a heart-model-based imaging approach: A simulation study

Content Provider	Springer Nature Link
Author	Li, G. He, B.
Copyright Year	2004
Abstract	In the study, a new myocardial infarction (MI) estimation method was developed for estimating Ml in the three-dimensional myocardium by means of a heart-model-based inverse approach. The site and size of Ml are estimated from body surface electrocardiograms by minimising multiple objective functions of the measured body surface potential maps (BSPMs) and the heart-model-generated BSPMs. Computer simulations were conducted to evaluate the performance of the developed method, using a single-site Ml and dual-site Ml protocols. The simulation results show that, for the single-site Ml, the averaged spatial distance (SD) between the weighting centres of the ‘true’ and estimated Mls, and the averaged relative error (RE) between the numbers of the ‘true’ and estimated infarcted units are 3.0±0.6/3.6±0.6 mm and 0.11±0.02/0.14±0.02, respectively, when 5μV/10μV Gaussian white noise was added to the body surface potentials. For the dual-site Ml, the averaged SD between the weighting centres of the ‘true’ and estimated Mls, and the averaged RE between the numbers of the ‘trus’ and estimated infarcted units are 3.8±0.7/3.9±0.7 mm and 0.12±0.02/0.14±0.03, respectively, when 5μV/10μV Gaussian white noise was added to the body surface potentials. The simulation results suggest the feasibility of applying the heart-model-based imaging approach to the estimation of myocardial infarction from body surface potentials.
Starting Page	128
Ending Page	136
Page Count	9
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	42
Issue Number	1
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2004-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Electrocardiographic inverse problem Myocardial infarction Electrocardiographic imaging Heart model Body surface potential maps Human Physiology Computer Applications Neurosciences Imaging Radiology Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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