DIAGNÓSTICO Y ESTIMACIÓN DE SEVERIDAD DEL SÍNDROME DE LA APNEA-HIPOPNEA DEL SUEÑO EN NIÑOS MEDIANTE PROCESADO AUTOMÁTICO DE SEÑALES OXIMÉTRICAS

Of Regional scope. With a Public character.

In collaboration with other entities. Role: Coordinator

Researchers

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ROBERTO

HORNERO SANCHEZ

Leader

FELIX DEL

CAMPO MATIA

MARIA

GARCIA GADAÑON

CARLOS

GOMEZ PEÑA

MARIA ISABEL

LOPEZ GALVEZ

MIGUEL

LOPEZ-CORONADO SANCHEZ-FORTUN

JESUS

POZA CRESPO

ISABEL DE LA

TORRE DIEZ

Publications related to the project

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2019

1. Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings

   IEEE Journal of Biomedical and Health Informatics

2017

1. Automated detection of childhood sleep apnea using discrete wavelet transform of nocturnal oximetry and anthropometric variables

   European Respiratory Society International Congress

2. Nocturnal oximetry-based evaluation of habitually snoring children

   American Journal of Respiratory and Critical Care Medicine