VERONICA
BARROSO GARCIA
INVESTIGADOR JOVEN
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Hospital Universitario Pío del Río Hortega
Valladolid, EspañaPublicaciones en colaboración con investigadores/as de Hospital Universitario Pío del Río Hortega (28)
2022
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Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep Apnea
Advances in experimental medicine and biology, Vol. 1384, pp. 131-146
2021
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A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea
IEEE Journal of Biomedical and Health Informatics, Vol. 25, Núm. 8, pp. 2906-2916
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Bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea
Entropy, Vol. 23, Núm. 8
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Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis
Computers in Biology and Medicine, Vol. 129
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Erratum to: Martín-montero et al. bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea. entropy 2021, 23, 1016
Entropy
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Wavelet analysis of overnight airflow to detect obstructive sleep apnea in children
Sensors, Vol. 21, Núm. 4, pp. 1-19
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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Characterization of the dynamic behavior of neural activity in Alzheimer's disease: Exploring the non-stationarity and recurrence structure of EEG resting-state activity
Journal of Neural Engineering, Vol. 17, Núm. 1
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Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis
Computer Methods and Programs in Biomedicine, Vol. 183
2019
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Characterization of EEG Resting-state Activity in Alzheimer's Disease by Means of Recurrence Plot Analyses
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
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Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2019, pp. 3555-3558
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Influence of chronic obstructive pulmonary disease and moderate-to-severe sleep apnoea in overnight cardiac autonomic modulation: Time, frequency and non-linear analyses
Entropy, Vol. 21, Núm. 4
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Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis
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