Visualizar por autor "Martín Montero, Adrián"

An explainable deep learning approach for sleep staging in sleep apnea patients across all age subgroups from pulse oximetry signals

Vaquerizo Villar, Fernando; Gutiérrez Tobal, Gonzalo César; Álvarez González, Daniel; Martín Montero, Adrián

; Gozal, David; Hornero Sánchez, Roberto (Elsevier Limited, 2025-12-22)

Assessment of airflow and oximetry signals to detect pediatric sleep apnea-hypopnea syndrome using AdaBoost

Jiménez García, Jorge; Gutiérrez Tobal, Gonzalo César; García Gadañón, María; Kheirandish Gozal, Leila; Martín Montero, Adrián

; Álvarez González, Daniel; Campo Matías, Félix del; Gozal, David; Hornero Sánchez, Roberto (MDPI, 2020-06)

Bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea

Martín Montero, Adrián

; GutiérrezTobal, Gonzalo César; Gozal, David; Barroso García, Verónica; Álvarez González, Daniel; Campo Matías, Félix del; Kheirandish Gozal, Leila; Hornero Sánchez, Roberto (MDPI, 2021-08)

Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpO2

García Vicente, Clara; Gutiérrez Tobal, Gonzalo César; Vaquerizo Villar, Fernando; Martín Montero, Adrián

; Gozal, David; Hornero Sánchez, Roberto (Elsevier, 2026-03-10)

ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis

García Vicente, Clara; Gutiérrez Tobal, Gonzalo César; Jiménez García, Jorge; Martín Montero, Adrián

; Gozal, David; Hornero Sánchez, Roberto (Elsevier, 2023-12)

Heart rate variability analysis in comorbid insomnia and sleep apnea (COMISA)

Martín Montero, Adrián

; Vaquerizo Villar, Fernando; García Vicente, Clara; GutiérrezTobal, Gonzalo César; Penzel, Thomas; Hornero Sánchez, Roberto (Nature Publishing Group, 2025-05-21)

Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution

Martín Montero, Adrián

; Gutiérrez Tobal, Gonzalo César; Kheirandish Gozal, Leila; Vaquerizo Villar, Fernando; Álvarez González, Daniel; Campo Matías, Félix del; Gozal, David; Hornero Sánchez, Roberto (Oxford University Press, 2022-02)

Heart rate variability spectrum characteristics in children with sleep apnea

Martín Montero, Adrián

; Gutiérrez Tobal, Gonzalo César; Kheirandis Gozal, Leila; Jiménez García, Jorge; Álvarez González, Daniel; Campo Matías, Félix del; Gozal, David; Hornero Sánchez, Roberto (Springer Nature, 2021-05)

Pediatric sleep apnea: characterization of apneic events and sleep stages using heart rate variability

Martín Montero, Adrián

; Armañac Julián, Pablo; Gil Herrando, Eduardo; Kheirandish Gozal, Leila; Álvarez González, Daniel; Lázaro Plaza, Jesús; Bailón Luesma, Raquel; Gozal, David; Laguna Lasaosa, Pablo; Hornero Sánchez, Roberto; Gutiérrez Tobal, Gonzalo César (Elsevier, 2023-03)

Pediatric sleep apnea: the overnight electroencephalogram as a phenotypic biomarker

Gutiérrez Tobal, Gonzalo César.; Gomez Pilar, Javier; Kheirandish Gozal, Leila; Martín Montero, Adrián

; Poza Crespo, Jesús; Álvarez González, Daniel; Campo Matías, Félix del; Gozal, David; Hornero Sánchez, Roberto (Frontiers Media S.A., 2021-11-03)

Persistent sleep-disordered breathing independently contributes to metabolic syndrome in prepubertal children

Armañac Julián, Pablo; Martín Montero, Adrián

; Lázaro Plaza, Jesús; Hornero Sánchez, Roberto; Laguna Lasaosa, Pablo; Kheirandish Gozal, Leila; Gozal, David; Gil Herrando, Eduardo; Bailón Luesma, Raquel; Gutiérrez Tobal, Gonzalo César (John Wiley & Sons, 2024-01)

SleepECG-Net: explainable deep learning approach with ECG for pediatric sleep apnea diagnosis

García Vicente, Clara; Gutiérrez Tobal, Gonzalo César; Vaquerizo Villar, Fernando; Martín Montero, Adrián

; Gozal, David; Hornero Sánchez, Roberto (Institute of Electrical and Electronics Engineers, Inc., 2025-02)

Visualizar por autor "Martín Montero, Adrián"

An explainable deep learning approach for sleep staging in sleep apnea patients across all age subgroups from pulse oximetry signals

Assessment of airflow and oximetry signals to detect pediatric sleep apnea-hypopnea syndrome using AdaBoost

Bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea

Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpO2

ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis

Heart rate variability analysis in comorbid insomnia and sleep apnea (COMISA)

Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution

Heart rate variability spectrum characteristics in children with sleep apnea

Pediatric sleep apnea: characterization of apneic events and sleep stages using heart rate variability

Pediatric sleep apnea: the overnight electroencephalogram as a phenotypic biomarker

Persistent sleep-disordered breathing independently contributes to metabolic syndrome in prepubertal children

SleepECG-Net: explainable deep learning approach with ECG for pediatric sleep apnea diagnosis

Listar

Mi cuenta

Sobre UCrea

Piensa en abierto

Compartir

Visualizar por autor "Martín Montero, Adrián"

An explainable deep learning approach for sleep staging in sleep apnea patients across all age subgroups from pulse oximetry signals ﻿

Assessment of airflow and oximetry signals to detect pediatric sleep apnea-hypopnea syndrome using AdaBoost ﻿

Bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea ﻿

Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpO2 ﻿

ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis ﻿

Heart rate variability analysis in comorbid insomnia and sleep apnea (COMISA) ﻿

Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution ﻿

Heart rate variability spectrum characteristics in children with sleep apnea ﻿

Pediatric sleep apnea: characterization of apneic events and sleep stages using heart rate variability ﻿

Pediatric sleep apnea: the overnight electroencephalogram as a phenotypic biomarker ﻿

Persistent sleep-disordered breathing independently contributes to metabolic syndrome in prepubertal children ﻿

SleepECG-Net: explainable deep learning approach with ECG for pediatric sleep apnea diagnosis ﻿

An explainable deep learning approach for sleep staging in sleep apnea patients across all age subgroups from pulse oximetry signals

Assessment of airflow and oximetry signals to detect pediatric sleep apnea-hypopnea syndrome using AdaBoost

Bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea

Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpO2

ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis

Heart rate variability analysis in comorbid insomnia and sleep apnea (COMISA)

Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution

Heart rate variability spectrum characteristics in children with sleep apnea

Pediatric sleep apnea: characterization of apneic events and sleep stages using heart rate variability

Pediatric sleep apnea: the overnight electroencephalogram as a phenotypic biomarker

Persistent sleep-disordered breathing independently contributes to metabolic syndrome in prepubertal children

SleepECG-Net: explainable deep learning approach with ECG for pediatric sleep apnea diagnosis