Mesh resolution impacts the accuracy of inverse and forward ECG problems

Bing Yao, Shenli Pei, Hui Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Electrocardiographic imaging (ECGI) has become an important medical diagnosis tool that assists scientists to noninvasively investigate cardiac electric activity. Many previous works have studied the inverse and forward ECG problems to understand how to reconstruct the cardiac electric activity from the body potential distribution. However, the inverse ECG problem is highly ill-conditioned and very sensitive to errors and noises. Thus, there is a need to study the sensitivity of inverse and forward ECG problems. In this paper, we investigated effects of mesh resolution on the accuracy of inverse and forward ECG problems. First, we employed the boundary element method to calculate the relationship between potential distributions on the body and heart surfaces and developed an algorithm to solve inverse and forward ECG problems. Second, we implemented the algorithm to solve the ECG problems in both a concentric spherical geometry and a realistic torso-heart geometry. Third, we evaluated the relative error between our solution and the analytical solution under the condition of different mesh resolutions. Experimental results explicitly show that the relative error in the inverse solution decreased from 30% to 17% when the mesh elements triangulating the two spheres increased from 24 to 400 in the concentric spherical geometry, and that decreased from 26% to 16% when the mesh elements triangulating the heart surface increased from 136 to 546 in the realistic torso-heart geometry.

Original languageEnglish (US)
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4047-4050
Number of pages4
ISBN (Electronic)9781457702204
DOIs
StatePublished - Oct 13 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duration: Aug 16 2016Aug 20 2016

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2016-October
ISSN (Print)1557-170X

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
CountryUnited States
CityOrlando
Period8/16/168/20/16

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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