Soft Computing

, Volume 15, Issue 3, pp 449–460

Correlation-based classification of heartbeats for individual identification


DOI: 10.1007/s00500-009-0525-y

Cite this article as:
Singh, Y.N. & Gupta, P. Soft Comput (2011) 15: 449. doi:10.1007/s00500-009-0525-y


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%.


HeartbeatBiometricsIndividual identificationCorrelation

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  1. 1.Department of Computer Science and Engineering, Institute of Engineering and TechnologyUP Technical University LucknowLucknowIndia
  2. 2.Department of Computer Science and EngineeringIndian Institute of Technology KanpurKanpurIndia