DocumentCode :
3401168
Title :
Identification and control of human respiratory system using fuzzy relational modeling
Author :
Najarian, Kayvan ; Hajivandi, Mehrdad
Author_Institution :
Biomed. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
Volume :
2
fYear :
1995
fDate :
20-23 Sep 1995
Firstpage :
1423
Abstract :
A fuzzy computational method has been applied to control the arterial pressure of CO2 (paco2). The results indicate the capability of the method to overcome the problems caused by previous methods such as magnification of high frequency variations (above 0.3 breath/second) of paco2
Keywords :
biocontrol; fuzzy control; identification; physiological models; CO2; arterial pressure; fuzzy computational method; fuzzy relational modeling; high frequency variations magnification; human respiratory system; paco2; respiratory disorders; Biomedical engineering; Blood pressure; Frequency; Fuzzy control; Fuzzy sets; Fuzzy systems; Humans; Optimal control; Pressure control; Respiratory system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
Type :
conf
DOI :
10.1109/IEMBS.1995.579758
Filename :
579758
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3401168
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