Sfoglia Grupo de Ingeniería Biomédica per Data di Pubblicazione "2023"

Items 1-7 di 7

An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea

Vaquerizo Villar, Fernando ; Gutierrez Tobal, Gonzalo César ; Calvo, Eva; Álvarez González, Daniel ; Kheirandish Gozal, Leila; Campo Matias, Félix del ; Hornero Sánchez, Roberto (2023)
Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses

Rodríguez González, Víctor ; Núñez Novo, Pablo ; Gómez Peña, Carlos ; Shigihara, Yoshihito; Hoshi, Hideyuki; Tola Arribas, Miguel Ángel ; Cano, Mónica; Guerrero Peral, Angel Luis ; García Azorín, David ; Hornero Sánchez, Roberto ; Poza Crespo, Jesús (2023)
Derivation and validation of a blood biomarker score for 2-day mortality prediction from prehospital care: a multicenter, cohort, EMS-based study

Martín Rodríguez, Francisco ; Vaquerizo Villar, Fernando ; López Izquierdo, Raúl ; Castro Villamor, Miguel Ángel ; Sanz García, Ancor; Pozo Vegas, Carlos del ; Hornero Sánchez, Roberto (2023)
ITACA: An open-source framework for Neurofeedback based on Brain-Computer Interfaces

Marcos Martínez, Diego ; SantaMaría Vazquez, Eduardo ; Martínez Cagigal, Víctor ; Pérez Velasco, Sergio ; Rodríguez González, Víctor ; Martín Fernández, Ana; Moreno Calderón, Selene; Hornero Sánchez, Roberto (2023)
MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research

SantaMaría Vazquez, Eduardo ; Martínez Cagigal, Víctor ; Marcos Martínez, Diego ; Rodríguez Gonzílez, Víctor; Pérez Velasco, Sergio ; Moreno Calderón, Selene; Hornero Sánchez, Roberto (2023)
Non-binary m-sequences for more comfortable brain–computer interfaces based on c-VEPs

Martínez Cagigal, Víctor ; SantaMaría Vazquez, Eduardo ; Pérez Velasco, Sergio ; Marcos Martínez, Diego ; Moreno Calderón, Selene; Hornero Sánchez, Roberto (2023)
Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability

Martín Montero, Adrián ; Armañac Julián, Pablo; Gil, Eduardo; Kheirandish Gozal, Leila; Álvarez González, Daniel ; Lázaro, Jesús; Bailón, Raquel; Gozal, David; Laguna, Pablo; Hornero Sánchez, Roberto ; Gutierrez Tobal, Gonzalo César (2023)

Sfoglia Grupo de Ingeniería Biomédica per Data di Pubblicazione "2023"

An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea ﻿

Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses ﻿

Derivation and validation of a blood biomarker score for 2-day mortality prediction from prehospital care: a multicenter, cohort, EMS-based study ﻿

ITACA: An open-source framework for Neurofeedback based on Brain-Computer Interfaces ﻿

MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research ﻿

Non-binary m-sequences for more comfortable brain–computer interfaces based on c-VEPs ﻿

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

An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea

Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses

Derivation and validation of a blood biomarker score for 2-day mortality prediction from prehospital care: a multicenter, cohort, EMS-based study

ITACA: An open-source framework for Neurofeedback based on Brain-Computer Interfaces

MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research

Non-binary m-sequences for more comfortable brain–computer interfaces based on c-VEPs

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