Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44082
Title: Detection of obstructive sleep apnea in ECG recordings using time-frequency distributions and dynamic features
Authors: Quiceno-Manrique, A. F.
Alonso-Hernández, J. B. 
Travieso-González, C. M. 
Ferrer-Ballester, M. A. 
Castellanos-Domínguez, G.
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Sleep apnea , Electrocardiography , Time frequency analysis , Heart rate , Heart rate detection , Heart rate variability , Performance analysis , Fluctuations , Blood , Feature extraction
Issue Date: 2009
Journal: Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Conference: Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society 
31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 
Abstract: Detection of obstructive sleep apnea can be performed through heart rate variability analysis, since fluctuations of oxygen saturation in blood cause variations in the heart rate. Such variations in heart rate can be assessed by means of time-frequency analysis implemented with time-frequency distributions belonging to Cohen's class. In this work, dynamic features are extracted from time frequency distributions in order to detect obstructive sleep apnea from ECG signals recorded during sleep. Furthermore, it is applied a methodology to measure the relevance of each dynamic feature, before the implementation of k-nn classifier used to recognize the normal and pathologic signals. As a result, the proposed method can be applied as a simple diagnostic tool for OSA with a high accuracy (up to 92.67%) in one-minute intervals.
URI: http://hdl.handle.net/10553/44082
ISBN: 9781424432967
ISSN: 1557-170X
DOI: 10.1109/IEMBS.2009.5333736
Source: Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (5333736), p. 5559-5562
Appears in Collections:Actas de congresos
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