REAL TIME ELECTROCARDIOGRAM SEGMENTATION FOR FINGER BASED ECG BIOMETRICS

André Lourenço, Hugo Silva, Paulo Leite, Renato Lourenço, Ana Fred

2012

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.

References

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Paper Citation


in Harvard Style

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


in Bibtex Style

@conference{biosignals12,
author={André Lourenço and Hugo Silva and Paulo Leite and Renato Lourenço 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},
}


in EndNote Style

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