FELIX DEL
CAMPO MATIA
Ikertzailea 1996-2023 tartean
VERONICA
BARROSO GARCIA
INVESTIGADOR JOVEN
VERONICA BARROSO GARCIA-rekin lankidetzan egindako argitalpenak (35)
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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Análisis del flujo aéreo nocturno mediante wavelets para la ayuda en el diagnóstico de la apnea del sueño infantil
XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB 2020: Libro de actas
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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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Modelo de deep learning basado en la arquitectura Inception para el diagnóstico de la apnea del sueño infantil mediante la señal de oximetría .
XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB 2020: Libro de actas
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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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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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Evaluación de la información espectral de las señales de flujo aéreo y saturación de oxígeno en sangre para la ayuda al diagnóstico de la apnea del sueño infantil
Hacia una salud personalizada y universal. XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Actas del Congreso CASEIB 2019
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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
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Utilidad de nuevas bandas espectrales en la señal de HRV para ayudar en el diagnóstico de la apnea del sueño infantil
Hacia una salud personalizada y universal. XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Actas del Congreso CASEIB 2019
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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Caracterización de la apnea del sueño infantil mediante nuevas bandas espectrales del EEG
Libro de Actas del XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica
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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