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Authors: Jesús Servín-Aguilar ; Jorge Pardiñas-Mir and Luis Rizo-Dominguez

Affiliation: Department of Electronics, Systems and Informatics, ITESO University, Tlaquepaque and Mexico

ISBN: 978-989-758-378-0

Keyword(s): Sleep Apnea, UWB Technology, Optimization, Parametric Multidimensional Search, eHealth.

Related Ontology Subjects/Areas/Topics: Measurements and Experimental Research ; Sensor, Mesh and Ad Hoc Communications and Networks ; Telecommunications ; Wireless Information Networks and Systems

Abstract: Sleep apnea is a syndrome defined as the pause of breathing for more than 10 seconds while the patient remains asleep. Diseases such as strokes, coronary heart attacks or diabetes could be associated with an untreated sleep apnea. UWB is an alternative technology to help treat this condition. It is a non-invasive technology, with low power and low radiation. In this article we present a system based on UWB signals to detect sleep apnea. It is shown that the proposed algorithm correctly detects apnea. Once this is done, an experimental optimization is performed to find the parameters that produce the best results.

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Paper citation in several formats:
Servín-Aguilar, J.; Pardiñas-Mir, J. and Rizo-Dominguez, L. (2019). Optimized Sleep Apnea Detector using UWB Signals.In Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: WINSYS, ISBN 978-989-758-378-0, pages 361-369. DOI: 10.5220/0007931103610369

@conference{winsys19,
author={Jesús G. Servín{-}Aguilar. and Jorge A. Pardiñas{-}Mir. and Luis Rizo{-}Dominguez.},
title={Optimized Sleep Apnea Detector using UWB Signals},
booktitle={Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: WINSYS,},
year={2019},
pages={361-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007931103610369},
isbn={978-989-758-378-0},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: WINSYS,
TI - Optimized Sleep Apnea Detector using UWB Signals
SN - 978-989-758-378-0
AU - Servín-Aguilar, J.
AU - Pardiñas-Mir, J.
AU - Rizo-Dominguez, L.
PY - 2019
SP - 361
EP - 369
DO - 10.5220/0007931103610369

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