Fernando Vaquerizo-Villar, Daniel Álvarez, Gonzalo C. Gutiérrez-Tobal, Félix del Campo, David Gozal, Leila Kheirandish-Gozal, Thomas Penzel, Roberto Hornero. A deep learning model based on the combination of convolutional and recurrent neural networks to enhance pulse oximetry ability to classify sleep stages in children with sleep apnea. In 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2023, Sydney, Australia, July 24-27, 2023. pages 1-4, IEEE, 2023. [doi]
@inproceedings{Vaquerizo-Villar23,
title = {A deep learning model based on the combination of convolutional and recurrent neural networks to enhance pulse oximetry ability to classify sleep stages in children with sleep apnea},
author = {Fernando Vaquerizo-Villar and Daniel Álvarez and Gonzalo C. Gutiérrez-Tobal and Félix del Campo and David Gozal and Leila Kheirandish-Gozal and Thomas Penzel and Roberto Hornero},
year = {2023},
doi = {10.1109/EMBC40787.2023.10341100},
url = {https://doi.org/10.1109/EMBC40787.2023.10341100},
researchr = {https://researchr.org/publication/Vaquerizo-Villar23},
cites = {0},
citedby = {0},
pages = {1-4},
booktitle = {45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2023, Sydney, Australia, July 24-27, 2023},
publisher = {IEEE},
isbn = {979-8-3503-2447-1},
}