DocumentCode
485730
Title
Estimation of Cardiopulmonary Parameters using Quasi-Optimal Inputs
Author
Khoo, M.C.K. ; Kronauer, R.E.
Author_Institution
Division of Applied Sciences, Harvard University, Cambridge, Ma. 02138
fYear
1983
fDate
22-24 June 1983
Firstpage
46
Lastpage
51
Abstract
The present study demonstrates that accurate estimates of cardiac output and other related cardiopulmonary parameters can be obtained noninvasively from respiratory data by driving the system with an appropriately designed ventilatory input. This input consists of a sequence of 3 larger-than-normal breaths and a 12-second breathhold performed 3 times in succession over a total duration of 1 minute. Close attention is given to modeling and computational details in order to minimize the effects of random and systematic errors. The estimated total error is less than 9 percent in all the parameters.
Keywords
Blood; Cardiology; Computational modeling; Data mining; Equations; Lungs; Noise measurement; Parameter estimation; Partial response channels; Ventilation;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1983
Conference_Location
San Francisco, CA, USA
Type
conf
Filename
4788070
Link To Document