• DocumentCode
    3071430
  • Title

    Characterization of inspiratory flow limitation during sleep with an exponential model

  • Author

    Morgenstern, C. ; Jané, R. ; Schwaibold, M. ; Randerath, W.

  • Author_Institution
    Dept. ESAII, Universitat Politÿcnica de Catalunya, Institut de Bioenginyeria de Catalunya (IBEC) and CIBER de BioingenierÃ\xada, Biomateriales y Nanomedicina (CIBERBBN), Pau Gargallo 5, 08028, Barcelona, Spain
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    2439
  • Lastpage
    2442
  • Abstract
    Assessing incidence and severity of inspiratory flow limitation (IFL) is of importance for patients suffering of sleep disordered breathing (SDB) in order to diagnose a spectrum of different pathologies. In this study a new exponential equation is proposed to characterize the pressure/flow relationship of IFL and non-IFL breaths. Classical and alternative criteria are applied on the model´s predictions in order to assess IFL, and its outcome is compared to the outcome of other models. The newly proposed exponential model seems to be promising, as it outperforms other models by achieving a global average sensitivity of 93% and specificity of 91%, and the lowest mean square error when estimating resistance at peak pressure. Additional statistical tests were performed on the exponential model´s coefficients in order to determine if a coefficient based classification is possible.
  • Keywords
    Esophagus; Frequency; Hospitals; Immune system; Mathematical model; Nonlinear equations; Predictive models; Pulse amplifiers; Sampling methods; Sleep apnea; Algorithms; Humans; Incidence; Inhalation; Models, Biological; Models, Statistical; Models, Theoretical; Polysomnography; Pressure; Pulmonary Ventilation; Regression Analysis; Sensitivity and Specificity; Sleep; Sleep Apnea Syndromes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649692
  • Filename
    4649692