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Authors: André Lourenço 1 ; Hugo Silva 2 ; Paulo Leite 3 ; Renato Lourenço 3 and Ana Fred 4

Affiliations: 1 DEETC, ISEL-IPL, Instituto de Telecomunicações and IST-UTL, Portugal ; 2 Instituto de Telecomunicações, IST-UTL, PLUX - Wireless Biosignals and S.A., Portugal ; 3 DEETC and ISEL-IPL, Portugal ; 4 Instituto de Telecomunicações and IST-UTL, Portugal

ISBN: 978-989-8425-89-8

Keyword(s): Biometrics, Electrocardiography (ECG), Biosignal processing, QRS-complexes detection, Real-time segmentation.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Cardiovascular Signals ; Detection and Identification ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Real-Time Systems ; Telecommunications

Abstract: In biometric recognition based on Electrocardiographic (ECG) signals, there are two main approaches for feature extraction: fiducial and non-fiducial. Fiducial methods use points of interest within single heartbeat waveforms, obtained by segmenting the ECG signal using QRS complexes as a reference. In this paper we study several QRS detection algorithms, with the purpose of determining what is the best algorithm in the context of finger based ECG biometrics using fiducial approaches; our main focus is the real-time segmentation of ECG signals resulting on a set of single heart beats. We propose a method combining the adaptive characteristics of the algorithm by Christov, with the strategy of the widely adopted Engelse and Zeelenberg algorithm. Experimental results obtained for real-world data show that online approaches are competitive with offline versions, and represent a contribution for the realization of real-time biometric recognition.

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Paper citation in several formats:
Lourenço, A.; Silva, H.; Leite, P.; Lourenço, R. and Fred, A. (2012). REAL TIME ELECTROCARDIOGRAM SEGMENTATION FOR FINGER BASED ECG BIOMETRICS.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 49-54. DOI: 10.5220/0003777300490054

@conference{biosignals12,
author={André Louren\c{C}o. and Hugo Silva. and Paulo Leite. and Renato Louren\c{C}o. and Ana Fred.},
title={REAL TIME ELECTROCARDIOGRAM SEGMENTATION FOR FINGER BASED ECG BIOMETRICS},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={49-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003777300490054},
isbn={978-989-8425-89-8},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - REAL TIME ELECTROCARDIOGRAM SEGMENTATION FOR FINGER BASED ECG BIOMETRICS
SN - 978-989-8425-89-8
AU - Lourenço, A.
AU - Silva, H.
AU - Leite, P.
AU - Lourenço, R.
AU - Fred, A.
PY - 2012
SP - 49
EP - 54
DO - 10.5220/0003777300490054

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