Time-domain system identification applied to noninvasive estimation of cardiopulmonary quantities

Bache, R.A., Gray, W.M. and Murray-Smith, D.J. (1981) Time-domain system identification applied to noninvasive estimation of cardiopulmonary quantities. IEE Proceedings: Control Theory and Applications, 128(2), pp. 56-64. (doi: 10.1049/ip-d:19810010)

Full text not currently available from Enlighten.


The paper describes an application of system identification techniques to the estimation of cardiac output and other cardiopulmonary quantities in human subjects. The method used requires continuous measurement of gas flow rates and gas concentration at the subject's mouth and involves the use of a lumped parameter model of the gas exchange processes. Particular emphasis is given to investigation of the identifiability and determinancy of the model and to important questions of the choice of input test signal. Estimation of the parameters of this model is by an extension of the maximum likelihood method of Astrom and Bohlin. This paper includes a summary of some encouraging results which have been obtained using this approach.

Item Type:Articles
Keywords:Biomedical engineering, modelling, simulation, signal synthesis, system identification
Glasgow Author(s) Enlighten ID:Murray-Smith, Professor David
Authors: Bache, R.A., Gray, W.M., and Murray-Smith, D.J.
Subjects:Q Science > QP Physiology
R Medicine > R Medicine (General)
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEE Proceedings: Control Theory and Applications
Publisher:Institution of Engineering and Technology
ISSN (Online):1359-7035

University Staff: Request a correction | Enlighten Editors: Update this record