Table of Contents Author Guidelines Submit a Manuscript
Journal of Engineering
Volume 2013 (2013), Article ID 539284, 8 pages
Research Article

Identifying Individuals Using Eigenbeat Features of Electrocardiogram

1Department of Computer Science & Engineering, Institute of Engineering & Technology, Gautam Buddh Technical University, Lucknow 226 021, India
2Department of Computer Engineering, Indian Institute of Technology, Banaras Hindu University IIT (BHU), Varanasi 225 021, India

Received 15 August 2012; Revised 12 February 2013; Accepted 12 February 2013

Academic Editor: Karim Kabalan

Copyright © 2013 Yogendra Narain Singh and Sanjay Kumar Singh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.