Correlation-based classification of heartbeats for individual identification

Authors:
Yogendra Narain Singh;Phalguni Gupta
Affiliations:
UP Technical University Lucknow, Department of Computer Science and Engineering, Institute of Engineering and Technology, 226021, Lucknow, India;Indian Institute of Technology Kanpur, Department of Computer Science and Engineering, 208016, Kanpur, India
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Digital Information Forensics
Year:
2011

Citing 0
Cited 3

Fusion of electrocardiogram with unobtrusive biometrics: An efficient individual authentication system

Pattern Recognition Letters
A taxonomy of biometric system vulnerabilities and defences

International Journal of Biometrics
Orientation invariant ECG-based stethoscope tracking for heart auscultation training on augmented standardized patients

Simulation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes new techniques to delineate P and T waves efficiently from heartbeats. The delineation results have been found to be optimum and stable in comparison to other published results. These delineators are used along with QRS complex to extract various features of classes time interval, amplitude and angle from clinically dominant fiducials on each heartbeat of the electrocardiogram (ECG). A new identification system has been proposed in this study, which uses these features and makes the decision on the identity of an individual with respect to a given database. The system has been tested against a set of 250 ECG recordings prepared from 50 individuals of Physionet. The matching decisions are made on the basis of correlation between heartbeat features among individuals. The proposed system has achieved an equal error rate of less than 1.01 with an accuracy of 99%.