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Título: Statistical and Nonlinear Analysis of Oximetry from Respiratory Polygraphy to Assist in the Diagnosis of Sleep Apnea in Children
Autor: Álvarez, Daniel
Gutiérrez Tobal, Gonzalo César
Alonso, María L.
Terán Santos, Joaquín
Campo Matías, Félix del
Hornero Sánchez, Roberto
Año del Documento: 2014
Editorial: IEEE Conference Publications
Descripción: Producción Científica
Documento Fuente: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2014, v. 2014, p. 1860-3
Resumen: Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a sleep related breathing disorder that has important consequences in the health and development of infants and young children. To enhance the early detection of OSAHS, we propose a methodology based on automated analysis of nocturnal blood oxygen saturation (SpO2) from respiratory polygraphy (RP) at home. A database composed of 50 SpO2 recordings was analyzed. Three signal processing stages were carried out: (i) feature extraction, where statistical features and nonlinear measures were computed and combined with conventional oximetric indexes, (ii) feature selection using genetic algorithms (GAs), and (iii) feature classification through logistic regression (LR). Leave-one-out cross-validation (loo-cv) was applied to assess diagnostic performance. The proposed method reached 80.8% sensitivity, 79.2% specificity, 80.0% accuracy and 0.93 area under the ROC curve (AROC), which improved the performance of single conventional indexes. Our results suggest that automated analysis of SpO2 recordings from at-home RP provides essential and complementary information to assist in OSAHS diagnosis in children.
Materias (normalizadas): Sleep Apnea in Children
ISSN: 1557-170X
Revisión por Pares: SI
DOI: 10.1109/EMBC.2014.6943972
Patrocinador: Ministerio de Economía y Competitividad (TEC2011-22987)
Fundación General CSIC (Proyecto Cero 2011 sobre Envejecimiento)
Obra social de la Caixa y CSIC
Junta de Castilla y León (VA059U13)
Version del Editor:
Idioma: eng
Derechos: info:eu-repo/semantics/openAccess
Aparece en las colecciones:DEP71 - Artículos de revista

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