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Daniel Álvarez
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2020 – today
- 2024
- [j38]Jorge Jiménez-García
, María García, Gonzalo C. Gutiérrez-Tobal
An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals. Biomed. Signal Process. Control. 87(Part B): 105490 (2024) - [j37]Aura Hernández-Sabaté
EEG Dataset Collection for Mental Workload Predictions in Flight-Deck Environment. Sensors 24(4): 1174 (2024) - 2023
- [j36]Adrián Martín-Montero
Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability. Comput. Biol. Medicine 154: 106549 (2023) - [j35]Fernando Vaquerizo-Villar
An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea. Comput. Biol. Medicine 165: 107419 (2023) - [c24]Fernando Vaquerizo-Villar, Daniel Álvarez, Gonzalo C. Gutiérrez-Tobal, Félix del Campo, David Gozal, Leila Kheirandish-Gozal, Thomas Penzel
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. EMBC 2023: 1-4 - 2022
- [j34]Jorge Jiménez-García
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry. Comput. Biol. Medicine 147: 105784 (2022) - [c23]Gonzalo C. Gutiérrez-Tobal, Javier Gomez-Pilar, Leila Kheirandish-Gozal, Adrián Martín-Montero, Jesús Poza, Daniel Álvarez, Félix del Campo, David Gozal, Roberto Hornero:
Slow EEG Oscillation to Characterize Pediatric Sleep Apnea and Associated Cognitive Impairments. EMBC 2022: 2957-2960 - 2021
- [j33]Gonzalo C. Gutiérrez-Tobal
Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults. Appl. Soft Comput. 111: 107827 (2021) - [j32]Verónica Barroso-García
Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis. Comput. Biol. Medicine 129: 104167 (2021) - [j31]Luciano Sánchez
Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data. Eng. Appl. Artif. Intell. 105: 104405 (2021) - [j30]Adrián Martín-Montero
Bispectral Analysis of Heart Rate Variability to Characterize and Help Diagnose Pediatric Sleep Apnea. Entropy 23(8): 1016 (2021) - [j29]Adrián Martín-Montero
Erratum: Martín-Montero et al. Bispectral Analysis of Heart Rate Variability to Characterize and Help Diagnose Pediatric Sleep Apnea. Entropy 2021, 23, 1016. Entropy 23(11): 1375 (2021) - [j28]Jeremy Levy
Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use. npj Digit. Medicine 4 (2021) - [j27]Verónica Barroso-García
Wavelet Analysis of Overnight Airflow to Detect Obstructive Sleep Apnea in Children. Sensors 21(4): 1491 (2021) - [j26]Fernando Vaquerizo-Villar
A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea. IEEE J. Biomed. Health Informatics 25(8): 2906-2916 (2021) - [c22]Fernando Vaquerizo-Villar, Daniel Álvarez, Jan F. Kraemer
Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks. EMBC 2021: 216-219 - 2020
- [j25]Verónica Barroso-García
Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis. Comput. Methods Programs Biomed. 183 (2020) - [j24]Jorge Jiménez-García
Assessment of Airflow and Oximetry Signals to Detect Pediatric Sleep Apnea-Hypopnea Syndrome Using AdaBoost. Entropy 22(6): 670 (2020) - [j23]Daniel Álvarez
Assessment of Nocturnal Autonomic Cardiac Imbalance in Positional Obstructive Sleep Apnea. A Multiscale Nonlinear Approach. Entropy 22(12): 1404 (2020) - [c21]Fernando Vaquerizo-Villar
Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks. EMBC 2020: 633-636 - [i1]Jeremy Levy, Daniel Álvarez, Félix del Campo, Joachim A. Behar:
Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers. CoRR abs/2012.05492 (2020)
2010 – 2019
- 2019
- [j22]Daniel Álvarez
Influence of Chronic Obstructive Pulmonary Disease and Moderate-To-Severe Sleep Apnoea in Overnight Cardiac Autonomic Modulation: Time, Frequency and Non-Linear Analyses. Entropy 21(4): 381 (2019) - [j21]Gonzalo C. Gutiérrez-Tobal
Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings. IEEE J. Biomed. Health Informatics 23(2): 882-892 (2019) - [c20]Fernando Vaquerizo-Villar
Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry. EMBC 2019: 3555-3558 - [c19]Verónica Barroso-García
Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis. EMBC 2019: 4580-4583 - [c18]Theo Jepsen, Daniel Álvarez, Nate Foster, Changhoon Kim, Jeongkeun Lee, Masoud Moshref, Robert Soulé
Fast String Searching on PISA. SOSR 2019: 21-28 - 2018
- [j20]Fernando Vaquerizo-Villar
Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings. Comput. Methods Programs Biomed. 156: 141-149 (2018) - [c17]Fernando Vaquerizo-Villar
Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost. EMBC 2018: 167-170 - [c16]Gonzalo C. Gutiérrez-Tobal
Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis. EMBC 2018: 175-178 - 2017
- [j19]Andrea Crespo, Daniel Álvarez
Multiscale Entropy Analysis of Unattended Oximetric Recordings to Assist in the Screening of Paediatric Sleep Apnoea at Home. Entropy 19(6): 284 (2017) - [j18]Verónica Barroso-García
Irregularity and Variability Analysis of Airflow Recordings to Facilitate the Diagnosis of Paediatric Sleep Apnoea-Hypopnoea Syndrome. Entropy 19(9): 447 (2017) - [c15]Gonzalo C. Gutiérrez-Tobal
A Bayesian neural network approach to compare the spectral information from nasal pressure and thermistor airflow in the automatic sleep apnea severity estimation. EMBC 2017: 3741-3744 - [c14]Fernando Vaquerizo-Villar
Usefulness of discrete wavelet transform in the analysis of oximetry signals to assist in childhood sleep apnea-hypopnea syndrome diagnosis. EMBC 2017: 3753-3756 - 2016
- [j17]Javier Gomez-Pilar
Neurofeedback training with a motor imagery-based BCI: neurocognitive improvements and EEG changes in the elderly. Medical Biol. Eng. Comput. 54(11): 1655-1666 (2016) - [j16]Gonzalo C. Gutiérrez-Tobal
Utility of AdaBoost to Detect Sleep Apnea-Hypopnea Syndrome From Single-Channel Airflow. IEEE Trans. Biomed. Eng. 63(3): 636-646 (2016) - 2015
- [j15]Gonzalo C. Gutiérrez-Tobal
Diagnosis of pediatric obstructive sleep apnea: Preliminary findings using automatic analysis of airflow and oximetry recordings obtained at patients' home. Biomed. Signal Process. Control. 18: 401-407 (2015) - [j14]Gonzalo C. Gutiérrez-Tobal
Assessment of Time and Frequency Domain Entropies to Detect Sleep Apnoea in Heart Rate Variability Recordings from Men and Women. Entropy 17(1): 123-141 (2015) - [j13]Luis F. Nicolás-Alonso, Rebeca Corralejo, Javier Gomez-Pilar
Adaptive semi-supervised classification to reduce intersession non-stationarity in multiclass motor imagery-based brain-computer interfaces. Neurocomputing 159: 186-196 (2015) - [c13]Daniel Álvarez
Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome. EMBC 2015: 2800-2803 - [c12]Gonzalo C. Gutiérrez-Tobal
Analysis and classification of oximetry recordings to predict obstructive sleep apnea severity in children. EMBC 2015: 4540-4543 - [p1]Javier Gomez-Pilar, Rebeca Corralejo, Daniel Álvarez, Roberto Hornero:
Neurofeedback Training with a Motor Imagery-Based BCI Improves Neurocognitive Functions in Elderly People. Brain-Computer Interface Research (4) 2015: 43-55 - 2014
- [j12]Rebeca Corralejo, Luis F. Nicolás-Alonso, Daniel Álvarez
A P300-based brain-computer interface aimed at operating electronic devices at home for severely disabled people. Medical Biol. Eng. Comput. 52(10): 861-872 (2014) - [c11]Daniel Álvarez
Statistical and nonlinear analysis of oximetry from respiratory polygraphy to assist in the diagnosis of Sleep Apnea in children. EMBC 2014: 1860-1863 - [c10]Gonzalo C. Gutiérrez-Tobal
Exploring the spectral information of airflow recordings to help in pediatric Obstructive Sleep Apnea-Hypopnea Syndrome diagnosis. EMBC 2014: 2298-2301 - [c9]Javier Gomez-Pilar
Assessment of neurofeedback training by means of motor imagery based-BCI for cognitive rehabilitation. EMBC 2014: 3630-3633 - 2013
- [j11]Daniel Álvarez
Assessment of Feature Selection and Classification Approaches to Enhance Information from overnight oximetry in the Context of Apnea Diagnosis. Int. J. Neural Syst. 23(5) (2013) - [j10]Gonzalo C. Gutiérrez-Tobal
Pattern recognition in airflow recordings to assist in the sleep apnoea-hypopnoea syndrome diagnosis. Medical Biol. Eng. Comput. 51(12): 1367-1380 (2013) - [c8]Gonzalo C. Gutiérrez-Tobal
Assessment of spectral bands of interest in airflow signal to assist in sleep apnea-hypopnea syndrome diagnosis. EMBC 2013: 5021-5024 - 2012
- [j9]J. Víctor Marcos
Automated Prediction of the Apnea-Hypopnea Index from Nocturnal Oximetry Recordings. IEEE Trans. Biomed. Eng. 59(1): 141-149 (2012) - [c7]Gonzalo C. Gutiérrez-Tobal
Apnea-hypopnea index estimation from spectral analysis of airflow recordings. EMBC 2012: 3444-3447 - 2011
- [c6]J. Víctor Marcos
Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis. EMBC 2011: 1745-1748 - [c5]Rebeca Corralejo, Roberto Hornero
Feature selection using a genetic algorithm in a motor imagery-based Brain Computer Interface. EMBC 2011: 7703-7706 - [c4]Daniel Álvarez
Prospective evaluation of logistic regression models from overnight oximetry to assist in sleep apnea diagnosis. ISDA 2011: 920-924 - [c3]Rebeca Corralejo, Roberto Hornero
A Domotic Control System Using Brain-Computer Interface (BCI). IWANN (1) 2011: 345-352 - 2010
- [j8]J. Víctor Marcos
Automated detection of obstructive sleep apnoea syndrome from oxygen saturation recordings using linear discriminant analysis. Medical Biol. Eng. Comput. 48(9): 895-902 (2010) - [j7]Daniel Álvarez
Multivariate Analysis of Blood Oxygen Saturation Recordings in Obstructive Sleep Apnea Diagnosis. IEEE Trans. Biomed. Eng. 57(12): 2816-2824 (2010)
2000 – 2009
- 2008
- [j6]J. Víctor Marcos
Utility of multilayer perceptron neural network classifiers in the diagnosis of the obstructive sleep apnoea syndrome from nocturnal oximetry. Comput. Methods Programs Biomed. 92(1): 79-89 (2008) - [j5]J. Víctor Marcos
Radial basis function classifiers to help in the diagnosis of the obstructive sleep apnoea syndrome from nocturnal oximetry. Medical Biol. Eng. Comput. 46(4): 323-332 (2008) - [c2]Carmelo R. García, Francisco Alayón Hernández
Ubiquitous platform for vehicles of passengers' public transport. AMIF 2008: 106-111 - 2007
- [j4]Daniel Álvarez
Improving diagnostic ability of blood oxygen saturation from overnight pulse oximetry in obstructive sleep apnea detection by means of central tendency measure. Artif. Intell. Medicine 41(1): 13-24 (2007) - [j3]Roberto Hornero
Utility of Approximate Entropy From Overnight Pulse Oximetry Data in the Diagnosis of the Obstructive Sleep Apnea Syndrome. IEEE Trans. Biomed. Eng. 54(1): 107-113 (2007) - 2006
- [j2]Félix del Campo, Roberto Hornero
Oxygen saturation regularity analysis in the diagnosis of obstructive sleep apnea. Artif. Intell. Medicine 37(2): 111-118 (2006) - [j1]Mateo Aboy
Interpretation of the Lempel-Ziv Complexity Measure in the Context of Biomedical Signal Analysis. IEEE Trans. Biomed. Eng. 53(11): 2282-2288 (2006) - [c1]Daniel Álvarez
Cross Approximate Entropy Analysis of Nocturnal Oximetry Signals in the Diagnosis of the Obstructive Sleep Apnea Syndrome. EMBC 2006: 6149-6152
Coauthor Index
[j38] [j36] [j35] [c24] [j34] [c23] [j33] [j32] [j30] [j29] [j27] [j26] [c22] [j25] [j24] [j23] [c21] [j22] [j21] [c20] [c19] [j20] [c17] [c16] [j19] [j18] [c15] [c14] [j17] [j16] [j15] [j14] [j13] [c13] [c12] [p1] [j12] [c11] [c10] [c9] [j11] [j10] [c8] [j9] [c7] [c6] [c5] [c4] [c3] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c1]
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