Discriminant Analysis for Identifying Individuals of Electrocardiogram

  • Yogendra Narain Singh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)


We present a novel method to characterize the electrocardiogram (ECG) for individual recognition. The method works on analytical and appearance features of the heartbeats. The features are analyzed using the principle of Fisher’s linear discriminant that produces well separated classes in a lower dimension subspace, under the presence of noise and muscle flexure. The biometric experiment is benchmarked using ECG recordings of the publically available QT database. The proposed method achieves the recognition accuracy of 98.9% on the evaluated subjects which is found optimum than the other best known methods.


Identification Electrocardiogram Heartbeats Biometrics 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yogendra Narain Singh
    • 1
  1. 1.Institute of Engineering & TechnologyGautam Buddh Technical UniversityLucknowIndia

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