Novel fiducial and non-fiducial approaches to electrocardiogram-based biometrics systems
; Gamboa, H.
Fred, A. L. N.
Figueiredo, M. A. T.
IET Biometrics Vol. 2, Nº 2, pp. 64 - 75, June, 2013.
ISSN (print): 2047-4938
ISSN (online): 2047-4946
Journal Impact Factor: 0,857 (in 2014)
Digital Object Identifier: 10.1049/iet-bmt.2012.0055
The electrocardiogram (ECG) is a non-invasive and widely used technique for cardiac electrophysiological assessment.
Although the ECG has traditionally only been used for functional diagnostic and evaluation, several advances in
electrophysiological sensing have made available robust signal acquisition devices, particularly suited for ambulatory
conditions, widening its range of applications. In particular, recent work has shown the potential of the ECG as a biometric
trait, both for human identification and authentication. This study sets the ground for an ECG-based real-time biometric
system. The authors describe an experimental setup and the evaluation of new fiducial and non-fiducial approaches, including
data acquisition, signal processing, feature extraction and analysis and classification methodologies, showing the applicability
of the ECG as a real-time biometric. Performance evaluation was done in clinical-grade ECG recording from 51 healthy
control individuals (of a publicly available benchmark dataset) as well as on data collected from 26 healthy volunteers
performing computer activities without any posture or motion limitations, thus simulating a regular computer usage scenario.