Title :
Pseudo random binary noise modeling of vagal chronotropic control
Author :
Lovell, Nigel ; Celler, Branko ; Dokos, Socrates
Author_Institution :
Graduate Sch. of Biomed. Eng., New South Wales Univ., Sydney, NSW, Australia
fDate :
31 Oct-3 Nov 1996
Abstract :
A technique for modeling vagal control of heart period using a black box approach is proposed. Vagal stimulus frequency is perturbed using a pseudo random binary sequence. Algorithms and software to perform this modeling are described. Brief results from five experiments in the anesthetized cat are presented. The formulation of the model structure, identification of its order and estimation of parameter values is considered for the case of a linear, time-invariant system. Both cross-correlation techniques and parametric models are investigated. Limitations and advantages of this modeling approach are discussed
Keywords :
biocontrol; electrocardiography; physiological models; random noise; algorithms; anesthetized cat; black box approach; cardiac chronotropic system; cross-correlation techniques; heart period; linear time-invariant system; model structure; parameter values; parametric models; pseudo random binary noise modeling; pseudo random binary sequence; software; transfer function; vagal chronotropic control; vagal stimulus frequency; Australia; Biomedical engineering; Frequency response; Heart; Laboratories; Parametric statistics; Pulse modulation; System identification; System testing; Transfer functions;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.647591
