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Comput Intell Neurosci. 2011;2011:1-8. doi: 10.1155/2011/720971. Epub 2011 Aug 7.

Unveiling the biometric potential of finger-based ECG signals.

Author information

1
Instituto Superior de Engenharia de Lisboa, Scientific Area of Electronics, Telecommunications and Computers, 1959-007 Lisboa, Portugal. alourenco@deetc.isel.ipl.pt

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.

PMID:
21837235
PMCID:
PMC3151498
DOI:
10.1155/2011/720971
[Indexed for MEDLINE]
Free PMC Article

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