• DocumentCode
    3136160
  • Title

    Cross Approximate Entropy Analysis of Nocturnal Oximetry Signals in the Diagnosis of the Obstructive Sleep Apnea Syndrome

  • Author

    Alvarez, Daniel ; Hornero, Roberto ; Garcia, Maria ; Campo, F.D. ; Zamarron, Carlos ; Lopez, Miguel

  • Author_Institution
    E.T.S. Ingenieros de Telecommun., Valladolid Univ.
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    6149
  • Lastpage
    6152
  • Abstract
    This study is focused on the analysis of blood oxygen saturation (SaO2) and heart rate (HR) from nocturnal oximetry using cross approximate entropy (Cross-ApEn). We assessed its usefulness in screening obstructive sleep apnea (OSA) syndrome. We applied Cross-ApEn(m,r,N) to quantify the asynchrony between paired SaO2 and HR records of 74 patients (44 with a positive OSA diagnosis and 30 with a negative OSA diagnosis). Cross-ApEn values were significantly lower in the OSA positive group compared with those obtained in the OSA negative group. A receiver operating characteristic (ROC) analysis showed that the best results, in terms of diagnostic accuracy, were achieved with m=2 and r=0.6. With these input parameters, the optimum decision threshold was found at 1.7, where we achieved 95.5% sensitivity, 73.3% specificity and 86.5% accuracy. Further analyses should be carried out with new and larger data sets to test the usefulness of our methodology prospectively
  • Keywords
    blood; cardiology; oximetry; patient diagnosis; sensitivity analysis; sleep; O2; ROC analysis; blood oxygen saturation; cross approximate entropy analysis; diagnostic accuracy; heart rate; nocturnal oximetry signals; obstructive sleep apnea syndrome diagnosis; optimum decision threshold; receiver operating characteristic analysis; Blood; Cardiology; Costs; Entropy; Frequency; Heart rate; Signal analysis; Sleep apnea; Testing; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260540
  • Filename
    4463212