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E-book
Author Vaquerizo Villar, Fernando, author

Title Automated analysis of the oximetry signal to simplify the diagnosis of pediatric sleep apnea : from feature-engineering to deep-learning approaches / Fernando Vaquerizo Villar
Published Cham : Springer, [2023]
©2022

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Description 1 online resource (xviii, 90 pages : illustrations (chiefly color))
Series Springer theses, 2190-5061
Springer theses. 2190-5061
Contents Introduction -- Hypotheses and objectives -- Methods -- Results -- Discussion -- Conclusions
Introduction -- Hypotheses and Objectives -- Methods -- Results -- Discussion
Summary This book describes the application of novel signal processing algorithms to improve the diagnostic capability of the blood oxygen saturation signal (SpO2) from nocturnal oximetry in the simplification of pediatric obstructive sleep apnea (OSA) diagnosis. For this purpose, 3196 SpO2 recordings from three different databases were analyzed using feature-engineering and deep-learning methodologies. Particularly, three novel feature extraction algorithms (bispectrum, wavelet, and detrended fluctuation analysis), as well as a novel deep-learning architecture based on convolutional neural networks are proposed. The proposed feature-engineering and deep-learning models outperformed conventional features from the oximetry signal, as well as state-of-the-art approaches. On the one hand, this book shows that bispectrum, wavelet, and detrended fluctuation analysis can be used to characterize changes in the SpO2 signal caused by apneic events in pediatric subjects. On the other hand, it demonstrates that deep-learning algorithms can learn complex features from oximetry dynamics that allow to enhance the diagnostic capability of nocturnal oximetry in the context of childhood OSA. All in all, this book offers a comprehensive and timely guide to the use of signal processing and AI methods in the diagnosis of pediatric OSA, including novel methodological insights concerning the automated analysis of the oximetry signal. It also discusses some open questions for future research
Notes "Doctoral thesis accepted by University of Valladolid, Valladolid, Spain."
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed July 11, 2023)
Subject Sleep apnea syndromes in children -- Diagnosis
Form Electronic book
ISBN 9783031328329
3031328329