RT info:eu-repo/semantics/article
T1 Automated Analysis of Nocturnal Oximetry as Screening Tool for Childhood Obstructive Sleep Apnea-Hypopnea Syndrome
A1 Álvarez González, Daniel
A1 Kheirandish Gozal, Leila
A1 Gutiérrez Tobal, Gonzalo César
A1 Hornero Sánchez, Roberto
K1 Sleep Apnea-Hypopnea Syndrome
AB Childhood obstructive sleep apnea-hypopneasyndrome (OSAHS) is a highly prevalent condition thatnegatively affects health, performance and quality of life ofinfants and young children. Early detection and treatmentimproves neuropsychological and cognitive deficits linked withthe disease. The aim of this study was to assess the performanceof automated analysis of blood oxygen saturation (SpO2)recordings as a screening tool for OSAHS. As an initial step,statistical, spectral and nonlinear features were estimated tocompose an initial feature set. Then, fast correlation-basedfilter (FCBF) was applied to search for the optimum subset.Finally, the discrimination power (OSAHS negative vs. OSAHSpositive) of three pattern recognition algorithms was assessed:linear discriminant analysis (LDA), quadratic discriminantanalysis (QDA) and logistic regression (LR). Three clinical cutoffpoints commonly used in the literature for positive diagnosisof the disease were applied: apnea-hypopnea index (AHI) of 1,3 and 5 events per hour (e/h). Our methodology reached 88.6%accuracy (71.4% sensitivity and 100.0% specificity, 100.0%positive predictive value, and 84.0% negative predictive value)in an independent test set using QDA for a clinical cut-off pointof 5 e/h. These results suggest that SpO2 nocturnal recordingsmay be used to develop a reliable and efficient screening toolfor childhood OSAHS
PB IEEE Conference Publications
SN 1557-170X
YR 2015
FD 2015
LK http://uvadoc.uva.es/handle/10324/21718
UL http://uvadoc.uva.es/handle/10324/21718
LA eng
NO Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2015, , p. 2800-3
NO Producción Científica
DS UVaDOC
RD 25-abr-2024