Personal Identification Based on Vectorcardiogram Derived from Limb Leads Electrocardiogram
- Title
- Personal Identification Based on Vectorcardiogram Derived from Limb Leads Electrocardiogram
- Author
- 김인영
- Keywords
- Mathematics; QA1-939
- Issue Date
- 2012-01
- Publisher
- Jongshill Lee et al.
- Citation
- Journal of Applied Mathematics, 2012, 2012, P.904905, 12P.
- Abstract
- 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.
- URI
- https://www.hindawi.com/journals/jam/2012/904905/http://hdl.handle.net/20.500.11754/67546
- ISSN
- 1110-757x
- DOI
- 10.1155/2012/904905
- Appears in Collections:
- COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML