NDLI: Model identification of the neural control of the cardiovascular system using NARMAX models

Content Provider	IEEE Xplore Digital Library
Author	Vallverdu, M. Korenberg, M.J. Caminal, P.
Copyright Year	1991
Description	Author affiliation: Inst. de Cibernetica, Univ. Politecnica de Cataluna, Barcelona, Spain (Vallverdu, M.)
Abstract	The neural control of the human cardiovascular system has been modeled using a NARMAX (non-linear autoregressive moving-average model with exogenous inputs) model, and compared with MA (moving-average) model and an ARMAX (autoregressive moving-average model with exogenous inputs) model. In these approaches, models are sought in the form of difference equations with unknown parameters to be estimated on the basis of input-output data. The input variable considered has been the carotid-sinus blood pressure and five output variables have been analyzed: heart rate control, peripheral resistance control, myocardial contractility control, venous tone control, and coronary resistance control. Results obtained show that NARMAX models present a better fit than the ARMAX models.<>
Starting Page	585
Ending Page	588
File Size	225372
Page Count	4
File Format	PDF
ISBN	081862485X
DOI	10.1109/CIC.1991.168978
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-09-23
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cardiology Pressure control Immune system Nonlinear control systems Humans Cardiovascular system Difference equations Parameter estimation Input variables Blood pressure
Content Type	Text
Resource Type	Article

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