Hybrid Inference Components for Monitoring of Artificial Respiration

Medical expert systems are developed for supporting the complicated decision finding processes of the physicians. Generally, the decision finding in a clinical therapeutic process contains a complex data fusion problem. The problem is analysed and the conclusions are used for the development of medical expert systems.The indentified pattern of problem solving behavior of the experts allows the structuring of the knowledge in sections. Different data structures need different representations and inference strategies. The higher organized expense for the data fusion is solved by implementation of a blackboard structure.Finally, hybrid inference components for monitoring of artificial ventilation are proposed.