FERNANDO
VAQUERIZO VILLAR
Investigador en el periodo 2015-2023
Andrea
Crespo Sedano
Publicaciones en las que colabora con Andrea Crespo Sedano (18)
2021
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Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults
Applied Soft Computing, Vol. 111
2020
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A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow
Scientific Reports, Vol. 10, Núm. 1
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Assessment of nocturnal autonomic cardiac imbalance in positional obstructive sleep apnea. A multiscale nonlinear approach
Entropy, Vol. 22, Núm. 12, pp. 1-17
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Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2018
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Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
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Detrended fluctuation analysis of the oximetry signal to assist in paediatric sleep apnoea-hypopnoea syndrome diagnosis
Physiological Measurement, Vol. 39, Núm. 11
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Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
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Pulse rate variability analysis to enhance oximetry as at-home alternative for sleep apnea diagnosing
IFMBE Proceedings
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Symbolic dynamics to enhance diagnostic ability of portable oximetry from the Phone Oximeter in the detection of paediatric sleep apnoea
Physiological Measurement, Vol. 39, Núm. 10
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Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings
Computer Methods and Programs in Biomedicine, Vol. 156, pp. 141-149
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Wavelet analysis of oximetry recordings to assist in the automated detection of moderate-to-severe pediatric sleep apnea-hypopnea syndrome
PLoS ONE, Vol. 13, Núm. 12
2017
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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 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
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Automated detection of childhood sleep apnea using discrete wavelet transform of nocturnal oximetry and anthropometric variables
European Respiratory Society International Congress
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Irregularity and variability analysis of airflow recordings to facilitate the diagnosis of paediatric sleep apnoea-hypopnoea syndrome
Entropy, Vol. 19, Núm. 9
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Multiscale entropy analysis of unattended oximetric recordings to assist in the screening of paediatric sleep apnoea at home
Entropy, Vol. 19, Núm. 6
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Usefulness of discrete wavelet transform in the analysis of oximetry signals to assist in childhood sleep apnea-hypopnea syndrome diagnosis
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2016
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Automated analysis of unattended portable oximetry by means of Bayesian neural networks to assist in the diagnosis of sleep apnea
2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016
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Multi-class adaboost to detect Sleep Apnea-Hypopnea Syndrome severity from oximetry recordings obtained at home
2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016