Influence of QT correction on temporal and amplitude features for human identification via ECG

Mario Sansone, Antonio Fratini, Mario Cesarelli, Paolo Bifulco, Alessandro Pepino, Maria Romano, Francesco Gargiulo, Carlo Sansone

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

Abstract

Identification of humans via ECG is being increasingly studied because it can have several advantages over the traditional biometric identification techniques. However, difficulties arise because of the heartrate variability. In this study we analysed the influence of QT interval correction on the performance of an identification system based on temporal and amplitude features of ECG. In particular we tested MLP, Naive Bayes and 3-NN classifiers on the Fantasia database. Results indicate that QT correction can significantly improve the overall system performance.

Original languageEnglish
Title of host publication2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, BioMS 2013
Subtitle of host publicationproceedings
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages22-27
Number of pages6
ISBN (Electronic)978-1-4799-0626-0
ISBN (Print)978-1-4799-0625-3, 978-1-4799-0628-4
DOIs
Publication statusPublished - 2013
Event4th IEEE workshop on Biometric Measurements and Systems for security and medical applications - Napoli, Italy
Duration: 9 Sep 20139 Sep 2013

Workshop

Workshop4th IEEE workshop on Biometric Measurements and Systems for security and medical applications
Abbreviated titleBioMS 2013
CountryItaly
CityNapoli
Period9/09/139/09/13

Fingerprint Dive into the research topics of 'Influence of QT correction on temporal and amplitude features for human identification via ECG'. Together they form a unique fingerprint.

  • Cite this

    Sansone, M., Fratini, A., Cesarelli, M., Bifulco, P., Pepino, A., Romano, M., Gargiulo, F., & Sansone, C. (2013). Influence of QT correction on temporal and amplitude features for human identification via ECG. In 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, BioMS 2013: proceedings (pp. 22-27). IEEE. https://doi.org/10.1109/BIOMS.2013.6656144