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
Link To Document :
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