• 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
  • Pages
    8
  • From page
    111
  • To page
    118
  • 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
  • Serial Year
    2006
  • Journal title
    Artificial Intelligence In Medicine
  • Record number

    1836413