Diagnostic support system design for artificial heart control

Design of a diagnostic technique used in an intelligent support system for artificial heart control is presented. Parameters which may cause abnormal variables of the recipient of artificial hearts are searched with the use of a large dynamic model Human. The advantage of this technique is that candidates of abnormal parameters can be pointed out avoiding real-time parameter estimation whose results would be unreliable for the large scale model.