Title :
Diagnosing model inadequacy in human respiratory CO2 controller
Author :
Yang, Fang ; Khoo, Mickael C K
Author_Institution :
Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Ventilatory noise in human CO2 controller identification is considered, and a test procedure that helps to provide a solution to it is proposed. Noise sources are examined and a new procedure developed to test model inadequacy. The procedure is capable of checking the nature of ventilatory noise and its interaction with chemical drive, as well as detecting any possible nonlinearity in the controller. A table of test results of residuals with different noise and system models is presented and has been used to guide controller identification. Test results of human experimental data suggest that (a) the linear assumption of the controller is valid, (b) noise is additive, and (c) noise is either white or colored
Keywords :
biocontrol; physiological models; additive noise; chemical drive; coloured noise; controller nonlinearity; human CO2 controller; human experimental data; model inadequacy diagnosis; noise sources; ventilatory noise; white noise; Additive noise; Chemicals; Colored noise; Fluctuations; Humans; Linear systems; Medical tests; System testing; Ventilation; Working environment noise;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95720
