Optimized Sleep Apnea Detector using UWB Signals

Jesús Servín-Aguilar, Jorge Pardiñas-Mir, Luis Rizo-Dominguez

2019

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@conference{winsys19,
author={Jesús Servín-Aguilar and Jorge 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},
}

in EndNote Style

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