DocumentCode
406336
Title
Derived electrocardiograms on the posterior leads from 12-lead system: method and evaluation
Author
Wei, Daming
Author_Institution
Graduate Sch. of Information Syst., Aizu Univ., Fukushima, Japan
Volume
1
fYear
2003
fDate
17-21 Sept. 2003
Firstpage
74
Abstract
Correct interpretation of electrocardiogram (ECG) is important for treatment of patients with acute myocardial infarction (AMI). A large number of posterior AMI manifests ST elevation in posterior leads V7-V9 that are beyond the standard 12-lead ECG. In this paper, we propose a method where ECGs on posterior leads V7- V9 are derived from the standard 12-lead ECG. The posterior ECGs are calculated by a linear combination of eight measured ECG signals based on information redundancy in the 12-lead ECG system. One part of a 15-lead ECG database is used to derive a transfer matrix based on the least squares method, which represents the inherent relation among body surface ECG potentials. The other part of the database is used to evaluation the derived posterior ECG by comparing the derived ECGs with measured ones. A quantitative evaluation is performed with an automatic ECG interpretation program. The results show the accuracy of derived posterior ECGs is sufficiently good to provide useful information in diagnosis of posterior AMI.
Keywords
bioelectric potentials; electrocardiography; least squares approximations; patient diagnosis; patient treatment; 12-lead system; ST elevation; acute myocardial infarction; body surface ECG potentials; diagnosis; electrocardiograms; least squares method; patient treatment; posterior leads; transfer matrix; Ambient intelligence; Databases; Electrocardiography; Electrodes; Equations; Heart; Least squares methods; Medical treatment; Myocardium; Position measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7789-3
Type
conf
DOI
10.1109/IEMBS.2003.1279513
Filename
1279513
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