On improvement of detection of Obstructive Sleep Apnea by partial least square-based extraction of dynamic features

This paper presents a methodology for Obstructive Sleep Apnea (OSA) detection based on the HRV analysis, where as a measure of relevance PLS is used. Besides, two different combining approaches for the selection of the best set of contours are studied. Attained results can be oriented in research fo...

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Bibliographic Details
Published in:2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2010-01, p.6321-6324
Main Authors: Sepúlveda-Cano, L M, Travieso-González, C M, Godino-Llorente, J I, Castellanos-Domínguez, G
Format: Article
Language:English
Subjects:
Accuracy
Feature extraction
Heart rate variability
Sleep apnea
Time frequency analysis
Online Access:Request full text
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Summary:This paper presents a methodology for Obstructive Sleep Apnea (OSA) detection based on the HRV analysis, where as a measure of relevance PLS is used. Besides, two different combining approaches for the selection of the best set of contours are studied. Attained results can be oriented in research focused on finding alternative methods minimizing the HRV-derived parameters used for OSA diagnosing, with a diagnostic accuracy comparable to a polysomnogram. For two classes (normal, apnea) the results for PLS are: specificity 90%, sensibility 91% and accuracy 93.56%.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.2010.5627710