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

Title:	On improvement of detection of Obstructive Sleep Apnea by partial least square-based extraction of dynamic features
Authors:	Sepúlveda-Cano, L. M. Travieso-González, C. M. Godino-Llorente, J. I. Castellanos-Domínguez, G.
UNESCO Clasification:	3314 Tecnología médica
Keywords:	Apnea detection Partial Least Square-based
Issue Date:	2010
Journal:	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Conference:	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Abstract:	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%.
URI:	http://hdl.handle.net/10553/48822
ISBN:	9781424441235
ISSN:	1557-170X
DOI:	10.1109/IEMBS.2010.5627710
Source:	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (5627710), p. 6321-6324
Appears in Collections:	Actas de congresos

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