Title of article :
Oxygen saturation regularity analysis in the diagnosis of obstructive sleep apnea
Author/Authors :
del Campo، نويسنده , , Félix and Hornero، نويسنده , , Roberto and Zamarrَn، نويسنده , , Carlos and Abasolo، نويسنده , , Daniel E. and ءlvarez، نويسنده , , Daniel، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
SummaryObjective
esent study assessed the validity of approximate entropy (ApEn) analysis of arterial oxygen saturation (SaO2) data obtained from pulse oximetric recordings as a diagnostic test for obstructive sleep apnea (OSA) in patients clinically suspected of suffering this disease.
ology
le of 187 referred outpatients, clinically suspected of having OSA, was studied using nocturnal pulse oximetric recording performed simultaneously with complete polysomnography. ApEn analysis was applied to SaO2 data.
s
ts with OSA presented significantly higher approximate entropy levels than those without OSA (1.08 ± 0.30 versus 0.47 ± 0.26). Apnea–hypopnea index was correlated significantly with ApEn (r = 0.607; p < 0.001). Using receiver operating characteristic curve analysis, we obtained a diagnostic sensitivity of 88.3% and specificity of 82.9%, positive predictive value of 88.3% and a negative predictive value of 82.9%, at a threshold of 0.679. As a diagnostic test, this method presents high sensitivity and specificity compared to traditional methods in the diagnosis of OSA.
sion
clude that ApEn analysis of SaO2 data obtained from pulse oximetric recordings could be useful as a diagnostic technique for OSA subjects.
Keywords :
Approximate entropy , Obstructive Sleep Apnea , Oximetry
Journal title :
Artificial Intelligence In Medicine
Journal title :
Artificial Intelligence In Medicine