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Sepúlveda Cano, Lina M. and Travieso González, C.M. and Godino Llorente, Juan Ignacio and Castellanos Domínguez, César Germán (2010). On Improvement of Detection of Obstructive Sleep Apnea by Partial Least Square-based Extraction of Dynamic Features. In: "32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2010", 31/08/2010 - 04/07/2010, Buenos Aires, Argentina. ISBN 978-1-4244-4123-5.
Title: | On Improvement of Detection of Obstructive Sleep Apnea by Partial Least Square-based Extraction of Dynamic Features |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2010 |
Event Dates: | 31/08/2010 - 04/07/2010 |
Event Location: | Buenos Aires, Argentina |
Title of Book: | Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2010 |
Date: | January 2010 |
ISBN: | 978-1-4244-4123-5 |
Subjects: | |
Faculty: | E.U.I.T. Telecomunicación (UPM) |
Department: | Ingeniería de Circuitos y Sistemas [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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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%.
Item ID: | 7643 |
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DC Identifier: | https://oa.upm.es/7643/ |
OAI Identifier: | oai:oa.upm.es:7643 |
Official URL: | http://embc2010.embs.org/ |
Deposited by: | Memoria Investigacion |
Deposited on: | 04 Jul 2011 09:23 |
Last Modified: | 20 Apr 2016 16:43 |