RT info:eu-repo/semantics/conferenceObject
T1 Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi- Class AdaBoost
A1 Vaquerizo Villar, Fernando
A1 Álvarez González, Daniel
A1 Kheirandish Gozal, Leila
A1 Gutiérrez Tobal, Gonzalo César
A1 Barroso García, Verónica
A1 Crespo Senado, Andrea
A1 Campo Matias, Félix del
A1 Gozal, David
A1 Hornero Sánchez, Roberto
AB This study aims at assessing the bispectral analysis of blood oxygen saturation (SpO2) from nocturnal oximetry to help in pediatric sleep apnea-hypopnea syndrome (SAHS) diagnosis. Recent studies have found excessive redundancy in the SAHS-related information usually extracted from SpO2, while proposing only two features as a reduced set to be used. On the other hand, it has been suggested that SpO2 bispectral analysis is able to provide complementary information to common anthropometric, spectral, and clinical variables. We address these novel findings to assess whether bispectrum provides new non-redundant information to help in SAHS diagnosis. Thus, we use 981 pediatric SpO2 recordings to extract both the reduced set of features recently proposed as well as 9 bispectral features. Then, a feature selection method based on the fast correlation-based filter and bootstrapping is used to assess redundancy among all the features. Finally, the non-redundant ones are used to train a Bayesian multi-layer perceptron neural network (BY-MLP) that estimate the apnea-hypopnea index (AHI), which is the diagnostic reference variable. Bispectral phase entropy was found complementary to the two previously recommended features and a BY-MLP model trained with the three of them reached high agreement with actual AHI (intra-class correlation coefficient = 0.889). Estimated AHI also showed high diagnostic ability, reaching 82.1%, 81.9%, and 90.3% accuracies and 0.814, 0.880, and 0.922 area under the receiver-operating characteristics curve for three common AHI thresholds: 1 e/h, 5 e/h, and 10 e/h, respectively. These results suggest that the information extracted from the bispectrum of SpO2 can improve the diagnostic performance of the oximetry test.
YR 2018
FD 2018
LK http://uvadoc.uva.es/handle/10324/31363
UL http://uvadoc.uva.es/handle/10324/31363
LA eng
NO Producción Científica
DS UVaDOC
RD 28-nov-2024