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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: Gutiérrez Tobal, Gonzalo César
Kheirandish Gozal, Leila
Álvarez, Daniel
Crespo, Andrea
Philby, Mona F.
Meelad, Mohammadi
Campo Matías, Félix del
Gozal, David
Hornero Sánchez, Roberto
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
DOI: 10.1109/EMBC.2015.7319404
Patrocinador: Junta de Castilla y León (project VA059U13)
Version del Editor: http://ieeexplore.ieee.org/servlet/opac?punumber=1000269
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/21719
Derechos: info:eu-repo/semantics/openAccess
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