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Title: Exploring the Spectral Information of Airflow Recordings to Help in Pediatric Obstructive Sleep Apnea-Hypopnea Syndrome Diagnosis
Authors: Gutiérrez Tobal, Gonzalo César
Álvarez, Daniel
Alonso, María Luz
Terán Santos, Joaquín
Campo Matías, Félix del
Hornero Sánchez, Roberto
Issue Date: 2014
Publisher: IEEE Conference Publications
Description: Producción Científica
Citation: 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. 2298-301
Abstract: This work aims at studying the usefulness of the spectral information contained in airflow (AF) recordings in the context of Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) in children. To achieve this goal, we defined two spectral bands of interest related to the occurrence of apneas and hypopneas. We characterized these bands by extracting six common spectral features from each one. Two out of the 12 features reached higher diagnostic ability than the 3% oxygen desaturation index (ODI3), a clinical parameter commonly used as screener for OSAHS. Additionally, the stepwise logistic regression (SLR) featureselection algorithm showed that the information contained in the two bands was complementary, both between them and with ODI3. Finally, the logistic regression method involving spectral features from the two bands, as well as ODI3, achieved high diagnostic performance after a bootstrap validation procedure (84.6±9.6 sensitivity, 87.2±9.1 specificity, 85.8±5.2 accuracy, and 0.969±0.03 area under ROC curve). These results suggest that the spectral information from AF is helpful to detect OSAHS in children
Keywords: Sleep Apnea-Hypopnea Syndrome Diagnosis
ISSN: 1557-170X)
Peer Review: SI
DOI: 10.1109/EMBC.2014.6944079
Sponsor: Ministerio de Economía y Competitividad (TEC2011-22987)
Junta de Castilla y León (VA059U13)
Publisher Version:
Language: eng
Rights: info:eu-repo/semantics/openAccess
Appears in Collections:DEP71 - Artículos de revista

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