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Authors: André Matos 1 ; André Lourenço 2 and Jose Nascimento 2

Affiliations: 1 Instituto Superior de Engenharia de Lisboa (ISEL), Portugal ; 2 Instituto Superior de Engenharia de Lisboa, Portugal

Keyword(s): Electrocardiogram, ECG, Embedded System, ARM, Biometrics, STM32.

Related Ontology Subjects/Areas/Topics: Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Electrocardiography ; Health Engineering and Technology Applications

Abstract: Biometric recognition has recently emerged has an alternative solution for applications where the privacy of the information is crucial. In this paper we present an embedded biometric recognition system based on the Electrocardiographic signals (ECG). The proposed system implements a real-time state-of-the-art recognition algorithm, which extracts information from the frequency domain, on an architecture based ARM Cortex 4. Using a sensor based on a two electrodes apparatus, the system is designed to be autonomous, non-intrusive and easy to use on different scenarios. Preliminary results show the successful real-time implementation on the embedded platform enabling its usage on a myriad of applications


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Paper citation in several formats:
Matos, A.; Lourenço, A. and Nascimento, J. (2013). Embedded System for ECG Biometrics. In Proceedings of the International Congress on Cardiovascular Technologies - CARDIOTECHNIX, ISBN 978-989-8565-78-5, pages 27-33. DOI: 10.5220/0004703300270033

author={André Matos. and André Louren\c{C}o. and Jose Nascimento.},
title={Embedded System for ECG Biometrics},
booktitle={Proceedings of the International Congress on Cardiovascular Technologies - CARDIOTECHNIX,},


JO - Proceedings of the International Congress on Cardiovascular Technologies - CARDIOTECHNIX,
TI - Embedded System for ECG Biometrics
SN - 978-989-8565-78-5
AU - Matos, A.
AU - Lourenço, A.
AU - Nascimento, J.
PY - 2013
SP - 27
EP - 33
DO - 10.5220/0004703300270033