Titlebook: Automated Analysis of the Oximetry Signal to Simplify the Diagnosis of Pediatric Sleep Apnea; From Feature-Enginee Fernando Vaquerizo Villa

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書目名稱Automated Analysis of the Oximetry Signal to Simplify the Diagnosis of Pediatric Sleep Apnea讀者反饋




書目名稱Automated Analysis of the Oximetry Signal to Simplify the Diagnosis of Pediatric Sleep Apnea讀者反饋學(xué)科排名

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,Hypotheses and?Objectives, on the overall health and life quality of the affected children when it is untreated, including cardiometabolic malfunctioning and neurobehavioral abnormalities (Capdevila et al. in Proc Am Thorac Soc 5(2):274–282, 2008 [.]).

內(nèi)向者

2190-5053 nd, 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 978-3-031-32834-3978-3-031-32832-9Series ISSN 2190-5053 Series E-ISSN 2190-5061

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高調(diào)

2190-5053 deep learning approaches applied to overnight oximetry.Descr.This book describes the application of novel signal processing algorithms to improve the diagnostic capability of the blood oxygen saturation signal (SpO.2.) from nocturnal oximetry in the simplification of pediatric obstructive sleep apne

outrage

Book 2023(SpO.2.) from nocturnal oximetry in the simplification of pediatric obstructive sleep apnea (OSA) diagnosis. For this purpose, 3196 SpO.2.?recordings from three different databases were analyzed using feature-engineering and deep-learning methodologies. Particularly, three novel feature extraction a

Inveterate

https://doi.org/10.1007/978-3-031-32832-9Pediatric Obstructive Sleep Apnea; Pediatric OSA Diagnosis; Automated Analysis of the Oximetry Signal;

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Introduction,cant adverse consequences affecting metabolic, cardiovascular, neurocognitive, and behavioral systems, thus resulting in a decline of overall health and quality of life. Consequently, it is of paramount importance to accelerate the diagnosis and treatment in these children.