Title :
A recursive parameter estimation method for identifying respiratory systems
Author :
Nakamichi, Masanori ; Kanae, Shunshoku
Author_Institution :
Fukui Univ. of Technol., Fukui, Japan
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;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6895706