VERONICA BARROSO GARCIA-rekin lankidetzan egindako argitalpenak (35)

2022

  1. Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep Apnea

    Advances in experimental medicine and biology, Vol. 1384, pp. 131-146

2019

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  1. 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

  2. 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

  3. Detrended fluctuation analysis of the oximetry signal to assist in paediatric sleep apnoea-hypopnoea syndrome diagnosis

    Physiological Measurement, Vol. 39, Núm. 11

  4. 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