Modelling of dynamic cerebral pressure autoregulation using sequential genetic algorithm
by Shiru Sharma, Ranjana Patnaik, Neeraj Sharma, J.P. Tiwari
International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO), Vol. 1, No. 4, 2010

Abstract: Accurate modelling is desirable for analysis and clinical studies of physiological systems. The present work provides methodology for fully automated sequential genetic algorithm (SGA) for auto regressive exogenous (ARX) modelling. The SGA has been implemented to determine proper model structure and thereafter model parameters. The proposed algorithm has been tested on known ARX model and sunspot data modelling problem. Finally, SGA has been applied to model the dynamic cerebral autoregulation (CA) system. The results are promising and models obtained using SGA are better as compared to standard least square (LS) algorithms and can be reliably applied to model physiological system.

Online publication date: Thu, 30-Sep-2010

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