Paper Info
Title
Unveiling the biometric potential of finger-based ECG signals.
Abstract
The ECG signal has been shown to contain relevant information for human identification. Even though results validate the potential of these signals, data acquisition methods and apparatus explored so far compromise user acceptability, requiring the acquisition of ECG at the chest. In this paper, we propose a finger-based ECG biometric system, that uses signals collected at the fingers, through a minimally intrusive 1-lead ECG setup recurring to Ag/AgCl electrodes without gel as interface with the skin. The collected signal is significantly more noisy than the ECG acquired at the chest, motivating the application of feature extraction and signal processing techniques to the problem. Time domain ECG signal processing is performed, which comprises the usual steps of filtering, peak detection, heartbeat waveform segmentation, and amplitude normalization, plus an additional step of time normalization. Through a simple minimum distance criterion between the test patterns and the enrollment database, results have revealed this to be a promising technique for biometric applications.
Year
DOI
Venue
2011
10.1155/2011/720971
Comp. Int. and Neurosc.
Keywords
Field
DocType
data acquisition method,time domain ecg signal,biometric application,biometric potential,ecg signal,time normalization,finger-based ecg biometric system,signal processing technique,1-lead ecg setup,agcl electrode,finger-based ecg signal,amplitude normalization,intelligence,neuroscience,biometric identification,heart conduction system,and,computational
Time domain,Signal processing,Heartbeat,Normalization (statistics),Pattern recognition,Computer science,Data acquisition,Filter (signal processing),Feature extraction,Artificial intelligence,Biometrics
Journal
Volume
ISSN
Citations 
2011
1687-5273
54
PageRank 
References 
Authors
3.01
7
3
Name
Order
Citations
PageRank
André Lourenço131245.33
Hugo Silva222730.18
Ana Fred321617.07