In the study, a new myocardial infarction (MI) estimation method was developed for estimating MI in the three-dimensional myocardium by means of a heart-model-based inverse approach. The site and size of MI 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 MI and dual-site MI protocols. The simulation results show that, for the single-site MI, the averaged spatial distance (SD) between the weighting centres of the 'true' and estimated MIs, and the averaged relative error (RE) between the numbers of the 'true' and estimated infarcted units are 3.0±0.6/3.6±0.6mm 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 MI, the averaged SD between the weighting centres of the 'true' and estimated MIS, and the averaged RE between the numbers of the 'true' 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.
Bibliographical noteFunding Information:
Acknowledgment This work was supported, in part, by a grant from the American Heart Association, 0140132N, NSF BES-0201939 and NSF CAREER Award BES-9875344.
BIN HE received his PhD in Biomedical Engineering with the highest honours from the Tokyo Institute of Technology, Japan, and completed his postdoctoral fellowship in Biomedical Engineering at Harvard University--MIT. After working at MIT as a Research Scientist, Dr He joined the Faculty of the University of Illinois at Chicago (UIC), where he is currently a Professor of Bio-engineering, Electrical & Computer Engineering and Computer Science. His major research interests include biomedical functional imaging and source imaging, cardiovascular engineering, neural engineering and computational biomedicine. Dr He is the recipient of am NSF CAREER Award, American Heart Association Established Investigator Award, the University of Illinois University Scholar Award and the UIC College of Engineering Faculty Research Award.
Copyright 2008 Elsevier B.V., All rights reserved.
- Body surface potential maps
- Electro-cardiographic imaging
- Electrocardiographic inverse problem
- Heart model
- Myocardial infarction