dc.contributorUniversidade Estadual Paulista (UNESP)
dc.contributorHospital de Clínicas de Porto Alegre
dc.contributorUniversidade Federal de Sergipe (UFS)
dc.contributorUniversidade de Caxias Do sul
dc.date.accessioned2022-04-29T07:12:47Z
dc.date.accessioned2022-12-20T02:25:25Z
dc.date.available2022-04-29T07:12:47Z
dc.date.available2022-12-20T02:25:25Z
dc.date.created2022-04-29T07:12:47Z
dc.date.issued2013-12-09
dc.identifier2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2013.
dc.identifierhttp://hdl.handle.net/11449/227344
dc.identifier10.1109/ICCABS.2013.6629210
dc.identifier2-s2.0-84889056563
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5407479
dc.description.abstractObstructive Sleep Apnea (OSA) is a pathological condition characterized by repeated episodes of interruption in the upper airways ventilation (apnea and hipoapnea) during [1]. This pathology affects 4% of men and 2% of women of working age [1]. In electroencephalographic studies, sleep spindle is an element strongly associated to OSA and certainly the most studied graphoelement in the sleep study. Sleep spindles are oscillations defined by the appearance and disappearance of spindle waves between 12-14Hz at sequential intervals of 0.5-2 seconds. The purpose of this study was to analyze the percentage of correlations between different channels in electroencephalographic examinations in normal and (mild) OSA subjects. © 2013 IEEE.
dc.languageeng
dc.relation2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2013
dc.sourceScopus
dc.titlePoster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución