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
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;
Conference_Titel :
American Control Conference, 1983
Conference_Location :
San Francisco, CA, USA