G. Kalff

TL;DR: The intelligent patient monitoring and alarm system has been proposed and implemented which evaluates a patient's haemodynamic state on the basis of a current vital parameter constellation with a knowledge-based approach and the validation of the inference engine of the system was performed.

TL;DR: The combination and aggregation of separate information sources to generate more 'intelligent' alarms using a knowledge-based approach is described and integration of the alarm system into a conventional information system is discussed.

TL;DR: The application of fuzzy methods as presented in the examples shows that the fuzzy logic approach has a great potential in biomedical engineering, where the difficulty of highly nonlinear and complicated dynamic properties are dramatic.

TL;DR: Eine wissensbasierte Entscheidungsunterstutzung zur Patientenuberwachung stellt besondere Anforderungen an die Wissensakquisition, Wissenreprasentation and an die Validierung.

TL;DR: An intelligent alarm system to support the anaesthetist in the evaluation of the patient's hemodynamic state has been developed and the most important vital parameter constellations are evaluated using a fuzzy inference approach, and are presented graphically on the user interface.