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

Título:	On improvement of detection of Obstructive Sleep Apnea by partial least square-based extraction of dynamic features
Autores/as:	Sepúlveda-Cano, L. M. Travieso-González, C. M. Godino-Llorente, J. I. Castellanos-Domínguez, G.
Clasificación UNESCO:	3314 Tecnología médica
Palabras clave:	Apnea detection Partial Least Square-based
Fecha de publicación:	2010
Publicación seriada:	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Conferencia:	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Resumen:	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
Fuente:	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (5627710), p. 6321-6324
Colección:	Actas de congresos

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