DocumentCode
231842
Title
A recursive parameter estimation method for identifying respiratory systems
Author
Nakamichi, Masanori ; Kanae, Shunshoku
Author_Institution
Fukui Univ. of Technol., Fukui, Japan
fYear
2014
fDate
28-30 July 2014
Firstpage
4557
Lastpage
4561
Abstract
The ventilation condition of artificial respiration should be set carefully, and the setting is expected to match individual pulmonary characteristic of each patient. To this purpose, the pulmonary elastance estimation method based on fuzzy logic has been proposed by the authors. In this paper, a recursive estimation method of estimating respiratory system is addressed to improve the accuracy of estimated model. Some examples by using practical clinic data are given to show the effectiveness of addressed method.
Keywords
data handling; fuzzy logic; medical computing; parameter estimation; prosthetics; artificial respiration; fuzzy logic; practical clinic data; pulmonary characteristic; pulmonary elastance estimation method; recursive parameter estimation method; respiratory systems identification; ventilation condition; Atmospheric modeling; Equations; Estimation; Lungs; Mathematical model; Parameter estimation; artificial respiration; elastance; estimation; fuzzy; modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6895706
Filename
6895706
Link To Document