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

Content Provider	IEEE Xplore Digital Library
Author	Sepúlveda-Cano, L.M. Travieso-González, C.M. Godino-Llorente, J.I. Castellanos-Domínguez, G.
Copyright Year	2010
Description	Author affiliation: Departamento de Ingeniería de Circuitos y Sistemas, Universidad Politécnica de Madrid, Spain (Godino-Llorente, J.I.) \|\| Control and Digital Signal Processing Group, Universidad Nacional de Colombia, sede Manizales, Colombia (Sepúlveda-Cano, L.M.; Castellanos-Domínguez, G.) \|\| University of Las Palmas de Gran Canaria, Spain (Travieso-González, C.M.)
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%.
Starting Page	6321
Ending Page	6324
File Size	360113
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627710
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Heart rate variability Sleep apnea Accuracy Time frequency analysis Databases
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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