Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/21719
Título
Analysis and Classification of Oximetry Recordings to Predict Obstructive Sleep Apnea Severity in Children
Autor
Año del Documento
2015
Editorial
IEEE Conference Publications
Descripción
Producción Científica
Documento Fuente
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2015, p. 4540-3
Resumen
Current study is focused around the potential use
of oximetry to determine the obstructive sleep apnea-hypopnea
syndrome (OSAHS) severity in children. Single-channel SpO2
recordings from 176 children were divided into three severity
groups according to the apnea-hypopnea index (AHI): AHI<1
events per hour (e/h), 1≤AHI<5 e/h, and AHI ≥5 e/h. Spectral
analysis was conducted to define and characterize a frequency
band of interest in SpO2. Then we combined the spectral data
with the 3% oxygen desaturation index (ODI3) by means of a
multi-layer perceptron (MLP) neural network, in order to
classify children into one of the three OSAHS severity groups.
Following our MLP multiclass approach, a diagnostic protocol
with capability to reduce the need of polysomnography tests by
46% could be derived. Moreover, our proposal can be also
evaluated, in a binary classification task for two common AHI
diagnostic cutoffs (AHI = 1 e/h and AHI= 5 e/h). High
diagnostic ability was reached in both cases (84.7% and 85.8%
accuracy, respectively) outperforming the clinical variable
ODI3 as well as other measures reported in recent studies.
These results suggest that the information contained in SpO2
could be helpful in pediatric OSAHS severity detection.
Materias (normalizadas)
Sleep Apnea severity in Children
ISSN
1557-170X
Revisión por pares
SI
Patrocinador
Junta de Castilla y León (project VA059U13)
Version del Editor
Idioma
eng
Derechos
openAccess
Aparece en las colecciones
Ficheros en el ítem
La licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International