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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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樓主: introspective
11#
發(fā)表于 2025-3-23 12:11:56 | 只看該作者
,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 [.]).
12#
發(fā)表于 2025-3-23 14:28:47 | 只看該作者
13#
發(fā)表于 2025-3-23 22:01:01 | 只看該作者
https://doi.org/10.1007/978-3-642-96104-5This chapter presents the main outcomes obtained in this doctoral thesis.
14#
發(fā)表于 2025-3-24 01:22:52 | 只看該作者
15#
發(fā)表于 2025-3-24 05:37:48 | 只看該作者
16#
發(fā)表于 2025-3-24 10:27:17 | 只看該作者
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.?.).
17#
發(fā)表于 2025-3-24 13:41:16 | 只看該作者
18#
發(fā)表于 2025-3-24 15:51:36 | 只看該作者
Discussion,This doctoral thesis addresses the simplification of pediatric OSA diagnosis.
19#
發(fā)表于 2025-3-24 19:04:35 | 只看該作者
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.
20#
發(fā)表于 2025-3-25 00:21:10 | 只看該作者
Fernando Vaquerizo VillarNominated as an outstanding PhD thesis by the Bioengineering Group of Comité Espa?ol de Automática.Reports on novel feature engineering and deep learning approaches applied to overnight oximetry.Descr
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