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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
    Gutierrez Tobal, Gonzalo CésarAutoridad UVA Orcid
    Kheirandish Gozal, Leila
    Álvarez González, DanielAutoridad UVA Orcid
    Crespo Senado, Andrea
    Philby, Mona F.
    Meelad, Mohammadi
    Campo Matias, Félix delAutoridad UVA Orcid
    Gozal, David
    Hornero Sánchez, RobertoAutoridad UVA Orcid
    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
    openAccess
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