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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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楼主: introspective
发表于 2025-3-23 12:11:56 | 显示全部楼层
,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 [.]).
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https://doi.org/10.1007/978-3-642-96104-5This chapter presents the main outcomes obtained in this doctoral thesis.
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Methods,This chapter first shows a brief summary the databases of pediatric subjects used (Sect. .) and then describes the different stages of the general signal processing methodology that has been conducted through the thesis (see Fig. .).
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Discussion,This doctoral thesis addresses the simplification of pediatric OSA diagnosis.
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Conclusions,This thesis is focused on the application of novel signal processing algorithms to improve the diagnostic capability of the oximetry signal in the simplification of pediatric OSA diagnosis.
发表于 2025-3-25 00:21:10 | 显示全部楼层
Fernando Vaquerizo VillarNominated as an outstanding PhD thesis by the Bioengineering Group of Comité Español de Automática.Reports on novel feature engineering and deep learning approaches applied to overnight oximetry.Descr
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