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A knowledge-based approach to intelligent alarms in anesthesia

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6 Author(s)
T. Schecke ; Aachen Univ. of Technol., Germany ; G. Rau ; H. -J. Popp ; H. Kasmacher
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The combination and aggregation of separate information sources to generate more 'intelligent' alarms using a knowledge-based approach is described. The approach gas developed as part of the knowledge-based anesthesia decision support system, AES-2, which monitors the patient's physiological state during anesthesia and eventually suggests therapeutic actions. Integration of the alarm system into a conventional information system is discussed. The state variable model used and the modeling of uncertainty are examined. The tools that support knowledge acquisition, design of knowledge-base prototypes. and test of the knowledge base of the AES-2 are described. A simulation example is given.<>

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IEEE Engineering in Medicine and Biology Magazine  (Volume:10 ,  Issue: 4 )