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Personal VerificationIdentification via Analysis of the Peripheral ECG Leads: Influence of the Personal Health Status on the Accuracy
Joint Authors
Jekova, Irena
Bortolan, Giovanni
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Traditional means for identity validation (PIN codes, passwords), and physiological and behavioral biometric characteristics (fingerprint, iris, and speech) are susceptible to hacker attacks and/or falsification.
This paper presents a method for person verification/identification based on correlation of present-to-previous limb ECG leads: I (rI), II (rII), calculated from them first principal ECG component (rPCA), linear and nonlinear combinations between rI, rII, and rPCA.
For the verification task, the one-to-one scenario is applied and threshold values for rI, rII, and rPCA and their combinations are derived.
The identification task supposes one-to-many scenario and the tested subject is identified according to the maximal correlation with a previously recorded ECG in a database.
The population based ECG-ILSA database of 540 patients (147 healthy subjects, 175 patients with cardiac diseases, and 218 with hypertension) has been considered.
In addition a common reference PTB dataset (14 healthy individuals) with short time interval between the two acquisitions has been taken into account.
The results on ECG-ILSA database were satisfactory with healthy people, and there was not a significant decrease in nonhealthy patients, demonstrating the robustness of the proposed method.
With PTB database, the method provides an identification accuracy of 92.9% and a verification sensitivity and specificity of 100% and 89.9%.
American Psychological Association (APA)
Jekova, Irena& Bortolan, Giovanni. 2015. Personal VerificationIdentification via Analysis of the Peripheral ECG Leads: Influence of the Personal Health Status on the Accuracy. BioMed Research International،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1054315
Modern Language Association (MLA)
Jekova, Irena& Bortolan, Giovanni. Personal VerificationIdentification via Analysis of the Peripheral ECG Leads: Influence of the Personal Health Status on the Accuracy. BioMed Research International No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1054315
American Medical Association (AMA)
Jekova, Irena& Bortolan, Giovanni. Personal VerificationIdentification via Analysis of the Peripheral ECG Leads: Influence of the Personal Health Status on the Accuracy. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1054315
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1054315