DYNAMIC BAYES NETWORK FOR EMULATION OF CARDIOVASCULAR ACTIVITY

摘要

1. A method for emulating vital data of a patient, comprising! a step of providing input to a dynamic Bayesian network (DBN), the input data comprising current measurement data relative to a patient; ! a step of providing other input to the DBN, wherein the other input is not current measurement data relative to the patient; and! the step of accumulating output data for emulated vital patient data based on DBN. ! 2. The method according to claim 1, in which the vital data of the patient are data on cardiovascular activity. ! 3. The method of claim 1, wherein the other data is relationship data. ! 4. The method according to claim 1, in which the measurement data relative to the patient and other data are weighed in the method. ! 5. A system for emulating a patient’s vital data, comprising:! dynamic Bayesian network (DBN), and a network containing many nodes contains! current measurement data relative to the patient provided for the input nodes as observation data; and! the derived probabilities of the output variables that are presented to the user appropriately, or are otherwise used by the decision-making system. ! 6. The system according to claim 5, in which the DBN contains one or more nodes from: node "pressure in the left ventricle" (PLV), node "volume of the left ventricle" (Llv), node "contractility of the left ventricle" (Lvc), node "vascular resistance of the peripheral extravasceral department of the large circle of blood circulation" (Rrp) and node "vascular resistance of the peripheral visceral department of the large circle of blood circulation" (Rsp). ! 7. The system according to claim 6, in which the nodes are auxiliary nodes. ! 8. The system of claim.