ECG biometric authentication using pulse active width (PAW)

Sairul Izwan Bin Safie, John Soraghan, Lykourgos Petropoulakis

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

12 Citations (Scopus)

Abstract

This paper presents a new feature extraction method known as Pulse Active Width (PAW) implemented on electrocardiogram (ECG) for biometric authentication. This method is developed based on the concept of Pulse Width Modulation (PWM). A total of 196 ECGs from 98 subjects, taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in the simulations. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. It is shown that the PAW method outperforms conventional temporal feature extraction techniques
Original languageEnglish
Title of host publication2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS
Place of PublicationNew York
PublisherIEEE
Pages21-26
Number of pages6
ISBN (Print)9781457707650
DOIs
Publication statusPublished - 28 Sep 2011
EventIEEE Workshop on Biometric Measurements, Systems for Security and Medical Applications - Milan, Italy
Duration: 28 Sep 201128 Sep 2011

Conference

ConferenceIEEE Workshop on Biometric Measurements, Systems for Security and Medical Applications
CountryItaly
CityMilan
Period28/09/1128/09/11

Keywords

  • biometric measurements
  • security and medical applications
  • ECG
  • pulse active width
  • PAW
  • authentication
  • training
  • feature extraction
  • electrocardiography
  • databases
  • correlation
  • electroencephalography

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