Automated Analysis of the Oximetry Signal to Simplify the Diagnosis of Pediatric Sleep Apnea From Feature-Engineering to Deep-Learning Approaches
by
 
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

Author
: 
Vaquerizo Villar, Fernando. author.

ISBN
: 
9783031328329

Edition
: 
1st ed. 2023.

Physical Description
: 
XVIII, 90 p. 18 illus., 17 illus. in color. online resource.

Series
: 
Springer Theses, Recognizing Outstanding Ph.D. Research,

Contents
: 
Introduction -- Hypotheses and Objectives -- Methods -- Results -- Discussion.

Subject Term
: 
Signal processing.
 
Biomedical engineering.
 
Machine learning.
 
Signal, Speech and Image Processing.
 
Biomedical Devices and Instrumentation.

Added Corporate Author
: 
SpringerLink (Online service)

Electronic Access
: 
https://doi.org/10.1007/978-3-031-32832-9


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book528015-1001ONLINEElektronik Kütüphane