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Authors: Octavian Postolache 1 ; Joaquim Mendes 2 ; Gabriela Postolache 3 and Pedro Silva Girão 1

Affiliations: 1 Instituto de Telecomunicações, Portugal ; 2 IDMEC, Faculdade de Engenharia UP, Portugal ; 3 Universidade Atlantica, Escola de Saude, Portugal

Keyword(s): Obesity-hypertension syndrome, Artificial neural network.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: One of the newest targets of public health is management of obesity-hypertension. In this paper is presented the use of an artificial neural network based model for objective classification of obesity-hypertension. Different neural network architectures as part of hybrid processing scheme including comparators and competitive processing blocks were developed and tested. The neural network functionality is the classification of the individuals according to the obesity risks. The results show that the neural network classifier is consistent with the standard criteria suggested by the obesity and hypertension guidelines.

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Paper citation in several formats:
Postolache, O.; Mendes, J.; Postolache, G. and Silva Girão, P. (2009). ARTIFICIAL NEURAL NETWORK APPROACH FOR OBESITY-HYPERTENSION CLASSIFICATION. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS; ISBN 978-989-8111-65-4; ISSN 2184-4305, SciTePress, pages 514-520. DOI: 10.5220/0001553705140520

@conference{biosignals09,
author={Octavian Postolache. and Joaquim Mendes. and Gabriela Postolache. and Pedro {Silva Girão}.},
title={ARTIFICIAL NEURAL NETWORK APPROACH FOR OBESITY-HYPERTENSION CLASSIFICATION},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS},
year={2009},
pages={514-520},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001553705140520},
isbn={978-989-8111-65-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS
TI - ARTIFICIAL NEURAL NETWORK APPROACH FOR OBESITY-HYPERTENSION CLASSIFICATION
SN - 978-989-8111-65-4
IS - 2184-4305
AU - Postolache, O.
AU - Mendes, J.
AU - Postolache, G.
AU - Silva Girão, P.
PY - 2009
SP - 514
EP - 520
DO - 10.5220/0001553705140520
PB - SciTePress

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