Poster: Quantification of correlations between sleep spindles in EEG for patients with sleep apnea

Author

de Souza, Rafael Toledo F. ; Rybarczyk Filho, Jose Luiz ; Lemke, Ney ; Schonwald, Suzana V. ; de Santa-Helena, Emerson L. ; Gerhardt, Gunther J. L.

Author_Institution

Dept. de Fis. e Biofisica, UNESP - Univ. Estadual Paulista, Botucatu, Brazil

fYear

2013

fDate

12-14 June 2013

Firstpage

1

Lastpage

1

Abstract

Obstructive 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.

Keywords

electroencephalography; medical disorders; oscillations; sleep; EEG; correlation quantification; electroencephalographic examinations; frequency 12 Hz to 14 Hz; graphoelement; hipoapnea; obstructive sleep apnea; oscillations; pathological condition; repeated interruption episodes; sequential intervals; sleep spindles; spindle wave appearance; spindle wave disappearance; time 0.5 s to 2 s; upper airways ventilation; Correlation; Electroencephalography; Hospitals; Matching pursuit algorithms; Pathology; Sleep apnea;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Advances in Bio and Medical Sciences (ICCABS), 2013 IEEE 3rd International Conference on

Conference_Location

New Orleans, LA

Type

conf

DOI

10.1109/ICCABS.2013.6629210

Filename

6629210