Identifying Individuals Using Eigenbeat Features of Electrocardiogram
Joint Authors
Singh, Yogendra Narain
Singh, Sanjay Kumar
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The authors of this paper present a new method to characterize the electrocardiogram (ECG) for individual identification.
We propose an ECG biometric system which is insensitive to noise signals and muscle flexure.
The method utilizes the principal of linearly projecting the heartbeat features into a subspace of lower dimension using an orthogonal basis that represents the most significant features to distinguish the individuals.
The performance of the proposed biometric system is evaluated on the subjects of both health statuses such as the ECG recordings of MIT-BIH Arrhythmia database and the ECG recordings of normal subjects prepared at IIT(BHU).
The result demonstrates that the derived eigenbeat features from proposed ECG characterization perform better and achieve the recognition accuracy of 91.42% and 95.55% on the subjects of MIT-BIH Arrhythmia database and IIT(BHU) database, respectively.
American Psychological Association (APA)
Singh, Yogendra Narain& Singh, Sanjay Kumar. 2013. Identifying Individuals Using Eigenbeat Features of Electrocardiogram. Journal of Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-479786
Modern Language Association (MLA)
Singh, Yogendra Narain& Singh, Sanjay Kumar. Identifying Individuals Using Eigenbeat Features of Electrocardiogram. Journal of Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-479786
American Medical Association (AMA)
Singh, Yogendra Narain& Singh, Sanjay Kumar. Identifying Individuals Using Eigenbeat Features of Electrocardiogram. Journal of Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-479786
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479786