André Lourenço (IT)

Towards a Finger Based ECG Biometric System

Abstract:

The electrocardiographic (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 talk we review the state of the art on using ECG as biometric trait. We present 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.

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Bio: André Lourenço is a Phd student of Electrical and Computer Engineering at IST-IT (Instituto Superior Técnico – Instituto de Telecomunicações), under the supervision of Prof. Ana Fred. He is also assistant professor at ISEL (Instituto Superior de Engenharia de Lisboa). His main research interests are pattern recognition and machine learning.