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TITB-00091-2004.R2 1 Combining Rate-Adaptive Cardiac Pacing
 

Summary: TITB-00091-2004.R2 1
Combining Rate-Adaptive Cardiac Pacing
Algorithms via Multiagent Negotiation
Francesco Amigoni, Alessandro Beda, and Nicola Gatti
Abstract-- Simulating and controlling physiological phenom-
ena are notoriously complex tasks to tackle and require accurate
models of the phenomena of interest. Currently, most physiolog-
ical processes are described by a set of partial models capturing
specific aspects of the phenomena, and usually their composition
does not produce effective comprehensive models. A current open
issue is thus the development of techniques able to effectively
describe a phenomenon starting from partial models. This is
particularly relevant for heart rate regulation modelling where
a large number of heterogeneous partial models exists. In this
paper we make the original proposal of adopting a multiagent
paradigm, called anthropic agency, to provide a powerful and
flexible tool for combining partial models of heart rate regulation
for adaptive cardiac pacing applications. The partial models are
embedded in autonomous computational entities, called agents,
that cooperatively negotiate in order to smooth their conflicts

  

Source: Amigoni, Francesco - Dipartimento di Elettronica e Informazione, Politecnico di Milano

 

Collections: Computer Technologies and Information Sciences