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Personal Identification Based on Vectorcardiogram Derived from Limb Leads Electrocardiogram
Joint Authors
Lee, Jongshill
Kim, In Young
Chee, Youngjoon
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-22
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We propose a new method for personal identification using the derived vectorcardiogram (dVCG), which is derived from the limb leads electrocardiogram (ECG).
The dVCG was calculated from the standard limb leads ECG using the precalculated inverse transform matrix.
Twenty-one features were extracted from the dVCG, and some or all of these 21 features were used in support vector machine (SVM) learning and in tests.
The classification accuracy was 99.53%, which is similar to the previous dVCG analysis using the standard 12-lead ECG.
Our experimental results show that it is possible to identify a person by features extracted from a dVCG derived from limb leads only.
Hence, only three electrodes have to be attached to the person to be identified, which can reduce the effort required to connect electrodes and calculate the dVCG.
American Psychological Association (APA)
Lee, Jongshill& Chee, Youngjoon& Kim, In Young. 2012. Personal Identification Based on Vectorcardiogram Derived from Limb Leads Electrocardiogram. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1029049
Modern Language Association (MLA)
Lee, Jongshill…[et al.]. Personal Identification Based on Vectorcardiogram Derived from Limb Leads Electrocardiogram. Journal of Applied Mathematics No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-1029049
American Medical Association (AMA)
Lee, Jongshill& Chee, Youngjoon& Kim, In Young. Personal Identification Based on Vectorcardiogram Derived from Limb Leads Electrocardiogram. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1029049
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029049