• DocumentCode
    1978166
  • Title

    Degree of normality based on fuzzy logic for a diagnostic analysis of signs observed in a human body

  • Author

    Hata, Yutaka ; Ishikawa, Osamu ; Kobashi, Syoji ; Kondo, Katsuya

  • Author_Institution
    Graduate Sch. of Eng., Himeji Inst. of Technol., Japan
  • fYear
    2003
  • fDate
    24-26 July 2003
  • Firstpage
    155
  • Lastpage
    160
  • Abstract
    This paper defines normality in human body for diagnostic analysis of signs observed in human body. The normality is a matter of degree. Physician usually examines whether a patient is either normal or abnormal. Diagnosis of human body is usually done by observing biosignals, radiological images, body surface information and others of human body. First, the information granularity of these signs of human body is shown. The normality is defined in the theory of hierarchical definability. According to the definition, a calculation method of the degree of normality is introduced. Finally, the examples of the degree of normality are shown.
  • Keywords
    feature extraction; fuzzy logic; medical signal processing; patient diagnosis; biosignals; body surface information; degree of normality; diagnostic analysis; feature extraction; fuzzy logic; human body signs; information granularity; radiological images; theory of hierarchical definability; Biological system modeling; Biology computing; Focusing; Fuzzy logic; Humans; Machine intelligence; Machine vision; Pulse measurements; Pulse shaping methods; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
  • Print_ISBN
    0-7803-7918-7
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2003.1226773
  • Filename
    1226773