• DocumentCode
    2507803
  • Title

    Evaluation on Mechanical Ventilation Using Fuzzy Assessment Method

  • Author

    Zhu, Hui ; Moller, Knut

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Soochow Univ., Suzhou, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Respiratory failure may be caused by a number of pathological processes. Often the only applicable treatment is to ventilate the patient with a machine, the mechanical ventilator that provides a controlled flow of gas into a patient´s airways to substitute or support his own breathing. Since there are a huge variety of pathologies and many available modes of ventilation to deal with them, it is important to evaluate the mechanical ventilation mode applied to the patient with severe pulmonary disease. By using fuzzy assessment method, we propose a respiratory mathematic model based approach to examine the patient´s situation and objectively evaluated the used ventilation mode with respect to the physicians strategic goals. The assessment example demonstrates that fuzzy assessment method is valuable in evaluating mechanical ventilation as needed in the context of the development of (semi-)automated individualized ventilation support.
  • Keywords
    diseases; flow control; fuzzy set theory; lung; medical control systems; orthotics; patient treatment; pneumodynamics; automated individualized ventilation support; breathing support; controlled gas flow; fuzzy assessment method; mechanical ventilation; pulmonary disease; respiratory failure; respiratory mathematic model; Diseases; Educational institutions; Fuzzy sets; Fuzzy systems; Mathematical model; Mathematics; Medical treatment; Pathological processes; Pathology; Ventilation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162807
  • Filename
    5162807