DATA PROCESSING SYSTEM FOR PREDICTING EXACERBATION CRISIS OF PATIENT WITH CHRONIC RESPIRATORY DISEASE

摘要

The invention relates to a data processing system for predicting an exacerbation crisis in a patient suffering from chronic respiratory disease, in particular COPD, and treated with oxygen therapy. It comprises one or more processor (P1, P2, P3) configured in particular to calculate from average values of breathing time (Vmoy_Dresp) and average respiratory rate values (Vmoy_FR) obtained over a period of several days, several statistical variables. (v1, v2, ..., vm); selecting within at least one database, several variables (x1, x2, ..., xn) representative of the sociodemographic profile of the patient stored in said at least one database; and comparing, at predefined dates t, a multidimensional vector Xt representing at least the statistical variables (v1, v2, ..., vm) resulting from the respiratory data and the variables (x1, x2, xn) representative of the sociodemographic profile of the patient one or more predefined and stored mathematical models, said mathematical model or models being estimated from data corresponding to normal health states and pre-exacerbatory states, in order to deduce the state of health of the patient considered in order to predict an exacerbation. The P3 processor is responsible for calculating the mathematical model (s) and updating it as needed for better accuracy.