No abstract

Diabetes Clinical Research important task is to monitor and prevent the occurrence of high / low blood sugar events. Glucose monitoring system (Continous Glucose Monitoring System, CGMS) is used clinically in recent years gradually new blood glucose monitoring system, by measuring the concentration of glucose in interstitial fluid glucose fluctuations throughout the day to indirectly reflect the whole picture. It can be 30 minutes early to predict blood glucose levels as well as low blood sugar warning. Based on time-series modeling techniques, with blood glucose levels for non-stationary paper with improved self-regression model (AR) on blood glucose prediction. And the order of the model parameters were determined by the least squares method and adaptive AIC criteria. The results show that the algorithm can be based on time series modeling real-time and accurate display changes in blood glucose levels, while forecasting and early warning of low blood sugar glucose results showed good performance.

The paper proposes a glucose prediction model and hypoglycemia alarms technology based on CGMS. Method: By using kalman filter to smooth the glucose data from the CGMS, reducing noise interference; Then according to the non-stationary characteristics of glucose concentration signal ,Using adaptive autoregressive model (AR) glucose prediction model is established; Finally, the prediction model is applied to hypoglycemia alarms. Results: The prediction model can dynamically capture the changes of the glucose and predict glucose of 30 min ahead, RMSE、SSGPE were 5.069,5.276; And hypoglycemia can be timely detected.

The composition and working principle of electric hydraulic servo control system are briefly described. A program is designed about digital servo controller based on DSP structure, and the servo system is achieved to control position by using TMS320LF2407A’s powerful digital processing capabilities, rich peripheral interfaces and optimal control algorithm of deviation, meanwhile it also has complete self-testing, setting parameters online and other functions. It is shown that the digital servo controller runs reliably, achieves real-time and precise control effect, and can meet the TRT and other systems’ control requirements with the experimental results.