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 language | English |
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Title of host publication | 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, BioMS 2013 |
Subtitle of host publication | proceedings |
Place of Publication | Piscataway, NJ (US) |
Publisher | IEEE |
Pages | 22-27 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-4799-0626-0 |
ISBN (Print) | 978-1-4799-0625-3, 978-1-4799-0628-4 |
DOIs | |
Publication status | Published - 2013 |
Event | 4th IEEE workshop on Biometric Measurements and Systems for security and medical applications - Napoli, Italy Duration: 9 Sept 2013 → 9 Sept 2013 |
Workshop
Workshop | 4th IEEE workshop on Biometric Measurements and Systems for security and medical applications |
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Abbreviated title | BioMS 2013 |
Country/Territory | Italy |
City | Napoli |
Period | 9/09/13 → 9/09/13 |