title: Applying time, frequency and nonlinear features from nocturnal oximetry to OSA diagnosis.
abstract: This study is aimed to improve the diagnostic ability of blood oxygen saturation (SaO(2)) in obstructive sleep apnea (OSA) detection. We studied 74 patients suspected of suffering from OSA. Ten characteristics were derived from each SaO2 recording: arithmetic mean, variance, skewness and kurtosis from both time and frequency domains, central tendency measure and Lempel-Ziv complexity. The diagnostic ability of each feature was assessed by means of a receiver operating characteristics (ROC) analysis. Additionally, forward stepwise logistic regression (LR) was applied. The kurtosis in the time domain and the nonlinear measure of complexity were automatically selected. This methodology reached 93.2% sensitivity, 80.0% specificity and 87.8% accuracy, improving the results from each feature individually. Our study showed that common statistics in the time and frequency domains and nonlinear features could provide additional and complementary information to help in OSA diagnosis.
authors.affiliation: Biomedical Engineering Group, E.T.S. Ingenieros de Telecomunicación, University of Valladolid, Camino del Cementerio s/n, Valladolid, Spain. dalvgon@ribera.tel.uva.es
authors.forename: Daniel
authors.initials: D
authors.lastname: Alvarez
authors.forename: Roberto
authors.initials: R
authors.lastname: Hornero
authors.forename: J
authors.initials: J
authors.lastname: Victor Marcos
authors.forename: Felix
authors.initials: F
authors.lastname: Del Campo
authors.forename: Carlos
authors.initials: C
authors.lastname: Zamarron
authors.forename: Miguel
authors.initials: M
authors.lastname: Lopez
mesh_terms: D000465:Algorithms; D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical; D008962:Models, Theoretical; D010092:Oximetry / Q000379:methods*; D010100:Oxygen / Q000097:blood* / Q000378:metabolism; D012372:ROC Curve; D012044:Regression Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D020181:Sleep Apnea, Obstructive / Q000097:blood* / Q000175:diagnosis*; D013997:Time Factors
chemical_list: D010100:Oxygen