Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52452
Title: Oxygen saturation and RR intervals feature selection for sleep apnea detection
Authors: Ravelo-García, Antonio G. 
Kraemer, Jan F.
Navarro-Mesa, Juan L. 
Hernández-Pérez, Eduardo 
Navarro-Esteva, Javier
Juliá-Serdá, Gabriel
Penzel, Thomas
Wessel, Niels
UNESCO Clasification: 3314 Tecnología médica
Keywords: Sleep apnea
Oxygen saturation
RR intervals
Feature selection
Issue Date: 2015
Journal: Entropy 
Abstract: A diagnostic system for sleep apnea based on oxygen saturation and RR intervals obtained from the EKG (electrocardiogram) is proposed with the goal to detect and quantify minute long segments of sleep with breathing pauses. We measured the discriminative capacity of combinations of features obtained from RR series and oximetry to evaluate improvements of the performance compared to oximetry-based features alone. Time and frequency domain variables derived from oxygen saturation (SpO2) as well as linear and non-linear variables describing the RR series have been explored in recordings from 70 patients with suspected sleep apnea. We applied forward feature selection in order to select a minimal set of variables that are able to locate patterns indicating respiratory pauses. Linear discriminant analysis (LDA) was used to classify the presence of apnea during specific segments. The system will finally provide a global score indicating the presence of clinically significant apnea integrating the segment based apnea detection. LDA results in an accuracy of 87%; sensitivity of 76% and specificity of 91% (AUC = 0.90) with a global classification of 97% when only oxygen saturation is used. In case of additionally including features from the RR series; the system performance improves to an accuracy of 87%; sensitivity of 73% and specificity of 92% (AUC = 0.92), with a global classification rate of 100%.
URI: http://hdl.handle.net/10553/52452
ISSN: 1099-4300
DOI: 10.3390/e17052932
Source: Entropy,v. 17, p. 2932-2957
Appears in Collections:Artículos
Thumbnail
Adobe PDF (1,91 MB)
Show full item record

SCOPUSTM   
Citations

21
checked on Sep 20, 2020

WEB OF SCIENCETM
Citations

19
checked on Sep 20, 2020

Page view(s)

7
checked on Sep 20, 2020

Download(s)

2
checked on Sep 20, 2020

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.