Intelligent adaptive monitoring for cardiac surveillance
Quiniou, René Cordier, Marie-Odile Carrault, Guy Portet, François Fromont, Elisa Callens, Lucie Mabo, Philippe #
Proceedings of the 18th European Conference on Artifical Intelligence pages:653-667
Prestigious Applications of Intelligent Systems edition:5 location:Patras, Grece date:21-25 July
Monitoring patients in intensive care units is a critical
task. Simple condition detection is generally insufficient to diagnose a patient and may generate many false alarms to the clinician operator.
Deeper knowledge is needed to discriminate among alarms
those that necessitate urgent therapeutic action. We propose an intelligent monitoring system that makes use of many artificial intelligence techniques: artificial neural networks for temporal abstraction, temporal reasoning, model based diagnosis, decision rule based system for adaptivity and machine learning for knowledge acquisition.
To tackle the difficulty of taking context change into account, we introduce a pilot aiming at adapting the system behavior by reconfiguring or tuning the parameters of the system modules. A prototype has been implemented and is currently experimented and evaluated.
Some results, showing the benefits of the approach, are given.