An approach to modelling the lower urinary tract from a technological
point of view 

David Gil Mendez, University of Alicante, Spain

AI seminar, December 7th, 2006


Abstract:

This research work deals with the study of neuroregulated systems,
particularly, the neural regulator of the lower urinary tract. The
complexity of these systems and their inherent characteristics makes it
interesting to research in control alternatives based on distributed
paradigms that help on their modelling.  We have tried to look for tools
such as multi-agents and artificial intelligence systems able to ensure
enough capacity to embody the development of such a system.

The analysis of the individualized behaviour related to the different agents
that reproduce the activity of neuronal centres has eased the classification
of the functioning states responsible for causing correct or incorrect
dynamics. These states will characterize the dysfunctional situations. 

Producing a diagnosis is probably one of the most demanding tasks in
medicine. In this regard the diagnosis has been (and continue to be) one of
the main subjects in our research with a special focus on developing
decision support systems. The relation between every particular diagnosis
and the affected neuronal centres and the simulation of some of the centres
by means of devices as Field Programmable Gate Arrays (FPGA) will be the two
main goals of our research, and in particular of my PhD.