RT info:eu-repo/semantics/article
T1 Exploring the Spectral Information of Airflow Recordings to Help in Pediatric Obstructive Sleep Apnea-Hypopnea Syndrome Diagnosis
A1 Gutiérrez Tobal, Gonzalo César
A1 Álvarez González, Daniel
A1 Alonso Álvarez, María Luz
A1 Terán Santos, Joaquín
A1 Campo Matias, Félix del
A1 Hornero Sánchez, Roberto
K1 Sleep Apnea-Hypopnea Syndrome Diagnosis
AB This work aims at studying the usefulness ofthe spectral information contained in airflow (AF) recordingsin the context of Obstructive Sleep Apnea-HypopneaSyndrome (OSAHS) in children. To achieve this goal, wedefined two spectral bands of interest related to theoccurrence of apneas and hypopneas. We characterized thesebands by extracting six common spectral features from eachone. Two out of the 12 features reached higher diagnosticability than the 3% oxygen desaturation index (ODI3), aclinical parameter commonly used as screener for OSAHS.Additionally, the stepwise logistic regression (SLR) featureselectionalgorithm showed that the information contained inthe two bands was complementary, both between them andwith ODI3. Finally, the logistic regression method involvingspectral features from the two bands, as well as ODI3,achieved high diagnostic performance after a bootstrapvalidation procedure (84.6±9.6 sensitivity, 87.2±9.1specificity, 85.8±5.2 accuracy, and 0.969±0.03 area underROC curve). These results suggest that the spectralinformation from AF is helpful to detect OSAHS in children
PB IEEE Conference Publications
SN 1557-170X)
YR 2014
FD 2014
LK http://uvadoc.uva.es/handle/10324/21715
UL http://uvadoc.uva.es/handle/10324/21715
LA eng
NO 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
NO Producción Científica
DS UVaDOC
RD 22-nov-2024