Individual identification using electrocardiogram morphology

Antonio Fratini, Mario Sansone, Paolo Bifulco, Maria Romano, Alessandro Pepino, Mario Cesarelli, Giovanni D'Addio

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

The use of electrocardiogram as biometric has raised attention in the last decade and a wide variety of ECG features were explored to verify the feasibility of such a signal. In this work the authors aim to describe a simple template based approach to the electrocardiographic biometric identification using the morphology of individual's heartbeat. The developed algorithm was tested on different recordings made available in the Physionet public database Fantasia: two different sets of heartbeats were extracted from individual recordings one was used for the template building while the second for the tests. The performances of the algorithm are encouraging with a true acceptance rate of 99.4%, however, the procedure needs to be tested on different recordings of the same individual, or during the course of a whole day or physical activity.

Original languageEnglish
Title of host publicationIEEE international symposium on Medical Measurements and Applications, MeMeA 2013
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages107-110
Number of pages4
ISBN (Print)978-1-4673-5196-6
DOIs
Publication statusPublished - 2013
EventIEEE international symposium on Medical Measurements and Applications - Gatineau, QC, Canada
Duration: 4 Mar 20135 Mar 2013

Symposium

SymposiumIEEE international symposium on Medical Measurements and Applications
Abbreviated titleMeMeA 2013
CountryCanada
CityGatineau, QC
Period4/03/135/03/13

Keywords

  • electrocardiogram morphology
  • feature extraction
  • individual identification

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  • Cite this

    Fratini, A., Sansone, M., Bifulco, P., Romano, M., Pepino, A., Cesarelli, M., & D'Addio, G. (2013). Individual identification using electrocardiogram morphology. In IEEE international symposium on Medical Measurements and Applications, MeMeA 2013 (pp. 107-110). IEEE. https://doi.org/10.1109/MeMeA.2013.6549716