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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

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, Vol.2023, p.1-4

2023

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Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.3555-3558

2019

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A convolutional neural network to classify sleep stages in pediatric sleep apnea from pulse oximetry signals

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022, p.108-113

2022

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Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.175-178

2018

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Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, Vol.2020, p.633-636

2020

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Network Analysis on Overnight EEG Spectrum to Assess Relationships Between Paediatric Sleep Apnoea and Cognition

XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019, p.1138-1146

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Applying Neural Network Classifiers in the Diagnosis of the Obstructive Sleep Apnea Syndrome from Nocturnal Pulse Oximetric Recordings

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, Vol.2007, p.5174-5177

2007

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Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.4580-4583

2019

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Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.167-170

2018

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Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.216-219

2021

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Slow EEG Oscillation to Characterize Pediatric Sleep Apnea and Associated Cognitive Impairments

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, Vol.2022, p.2957-2960

2022

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Usefulness of discrete wavelet transform in the analysis of oximetry signals to assist in childhood sleep apnea-hypopnea syndrome diagnosis

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017, Vol.2017, p.3753-3756

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

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017, Vol.2017, p.3741-3744

2017

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Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.1745-1748

2011

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Analysis and classification of oximetry recordings to predict obstructive sleep apnea severity in children

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Vol.2015, p.4540-4543

2015

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Assessment of spectral bands of interest in airflow signal to assist in sleep apnea-hypopnea syndrome diagnosis

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.5021-5024

2013

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Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Vol.2015, p.2800-2803

2015

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Exploring the spectral information of airflow recordings to help in pediatric Obstructive Sleep Apnea-Hypopnea Syndrome diagnosis

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.2298-2301

2014

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Statistical and nonlinear analysis of oximetry from respiratory polygraphy to assist in the diagnosis of Sleep Apnea in children

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.1860-1863

2014

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Obstructive Sleep Apnea Detection Using Clustering Classification of Nonlinear Features from Nocturnal Oximetry

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, Vol.2007, p.1937-1940

2007

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Approximate Entropy from Overnight Pulse Oximetry for the Obstructive Sleep Apnea Syndrome

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005, Vol.2005, p.6157-6160

2005

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Prospective evaluation of logistic regression models from overnight oximetry to assist in sleep apnea diagnosis

2011 11th International Conference on Intelligent Systems Design and Applications, 2011, p.920-924

2011

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Bot-Human Twitter Messages Classification

Advances in Computational Intelligence, p.74-80

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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

Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry

A convolutional neural network to classify sleep stages in pediatric sleep apnea from pulse oximetry signals

Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis

Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks

Network Analysis on Overnight EEG Spectrum to Assess Relationships Between Paediatric Sleep Apnoea and Cognition

Applying Neural Network Classifiers in the Diagnosis of the Obstructive Sleep Apnea Syndrome from Nocturnal Pulse Oximetric Recordings

Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis

Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost

Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks

Slow EEG Oscillation to Characterize Pediatric Sleep Apnea and Associated Cognitive Impairments

Usefulness of discrete wavelet transform in the analysis of oximetry signals to assist in childhood sleep apnea-hypopnea syndrome diagnosis

A Bayesian neural network approach to compare the spectral information from nasal pressure and thermistor airflow in the automatic sleep apnea severity estimation

Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis

Analysis and classification of oximetry recordings to predict obstructive sleep apnea severity in children

Assessment of spectral bands of interest in airflow signal to assist in sleep apnea-hypopnea syndrome diagnosis

Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome

Exploring the spectral information of airflow recordings to help in pediatric Obstructive Sleep Apnea-Hypopnea Syndrome diagnosis

Statistical and nonlinear analysis of oximetry from respiratory polygraphy to assist in the diagnosis of Sleep Apnea in children

Obstructive Sleep Apnea Detection Using Clustering Classification of Nonlinear Features from Nocturnal Oximetry

Approximate Entropy from Overnight Pulse Oximetry for the Obstructive Sleep Apnea Syndrome

Prospective evaluation of logistic regression models from overnight oximetry to assist in sleep apnea diagnosis

Bot-Human Twitter Messages Classification

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