Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/48822
| 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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