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Authors: Marta S. Santos 1 ; Ana L. Fred 2 ; Hugo Silva 1 and André Lourenço 3

Affiliations: 1 Instituto Superior Técnico and Instituto de Telecomunicações, Portugal ; 2 Instituto Superior Técnico, Portugal ; 3 Instituto de Telecomunicações and Instituto Superior de Engenharia de Lisboa, Portugal

Keyword(s): Ecg, Principal Components Analysis, User Identification.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Cardiovascular Signals ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Multimedia ; Multimedia Signal Processing ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Telecommunications

Abstract: Electrocardiographic (ECG) signals record the heart’s electrical activity over time. These signals have typically been assessed for clinical purposes providing a fair evaluation of the heart’s condition. However, it has been shown recently that they also convey distinctive information that can be used for user identification. In this paper we explore these signals for user identification purposes, proposing two data representation and processing techniques based on principal component analysis (PCA) and classification based on the K-NN rule. We analyze and compare these techniques, showing experimentally that 100% identification rates can be achieved. The analysis covers an outlier removal procedure and different configurations of algorithmic and proposed system parameters.

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Paper citation in several formats:
Santos, M.; Fred, A.; Silva, H. and Lourenço, A. (2013). Eigen Heartbeats for User Identification. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS; ISBN 978-989-8565-36-5; ISSN 2184-4305, SciTePress, pages 351-355. DOI: 10.5220/0004249503510355

@conference{biosignals13,
author={Marta S. Santos. and Ana L. Fred. and Hugo Silva. and André Louren\c{C}o.},
title={Eigen Heartbeats for User Identification},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS},
year={2013},
pages={351-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004249503510355},
isbn={978-989-8565-36-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS
TI - Eigen Heartbeats for User Identification
SN - 978-989-8565-36-5
IS - 2184-4305
AU - Santos, M.
AU - Fred, A.
AU - Silva, H.
AU - Lourenço, A.
PY - 2013
SP - 351
EP - 355
DO - 10.5220/0004249503510355
PB - SciTePress

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