Andrea Crespo
Orcid: 0000-0002-2709-5797
According to our database1,
Andrea Crespo
authored at least 15 papers
between 2015 and 2021.
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Bibliography
2021
Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults.
Appl. Soft Comput., 2021
2020
Assessment of Nocturnal Autonomic Cardiac Imbalance in Positional Obstructive Sleep Apnea. A Multiscale Nonlinear Approach.
Entropy, 2020
Proceedings of the Simulation and Modeling Methodologies, Technologies and Applications, 2020
Adopting Technological Devices in Hospital at Home: A Modelling and Simulation Perspective.
Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, 2020
Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings.
IEEE J. Biomed. Health Informatics, 2019
2018
Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings.
Comput. Methods Programs Biomed., 2018
Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Multiscale Entropy Analysis of Unattended Oximetric Recordings to Assist in the Screening of Paediatric Sleep Apnoea at Home.
Entropy, 2017
Irregularity and Variability Analysis of Airflow Recordings to Facilitate the Diagnosis of Paediatric Sleep Apnoea-Hypopnoea Syndrome.
Entropy, 2017
Usefulness of discrete wavelet transform in the analysis of oximetry signals to assist in childhood sleep apnea-hypopnea syndrome diagnosis.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
A Bayesian neural network approach to compare the spectral information from nasal pressure and thermistor airflow in the automatic sleep apnea severity estimation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2015
Analysis and classification of oximetry recordings to predict obstructive sleep apnea severity in children.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015