Lesiones por virus Herpes simplex y estomatitis aftosa recidivante. Estudio epidemiológico en una muestra elegida al azar

De entre las lesiones observadas en la cavidad bucal, las producidas por el virus Herpes simplex (VHS) y las originadas en la estomatitis aftosa recidivante (EAR) representan una parte importante de las lesiones que el odontólogo o estomatólogo encuentra cotidianamente. Aunque cada uno de estos dos procesos posee una etiopatogenia y unas características diferentes, en algunas ocasiones su diagnóstico puede llegar a ser controvertido y difícil, debido a su similar apariencia clínica, planteándose entonces problemas de diagnóstico diferencial. El objetivo de este trabajo es realizar un estudio epidemiológico sobre ambas entidades en un grupo de 100 personas elegidas al azar. Mediante un cuestionario anamnético se identifican los pacientes con historia positiva para cualquiera de los dos tipos de lesiones y se recogen datos respecto a las características clínicas de las lesiones en los pacientes de la muestra, con el fin de definir las características diferenciales entre ambas alteraciones.

Smith Predictor Sliding Mode Closed-loop Glucose Controller in Type 1 Diabetes

Type 1 diabetic patients depend on external insulin delivery to keep their blood glucose within near-normal ranges. In this work, two robust closed-loop controllers for blood glucose regulation are developed to prevent the life-threatening hypoglycemia, as well as to avoid extended hyperglycemia. The proposed controllers are designed by using the sliding mode control technique in a Smith predictor structure. To improve meal disturbance rejection, a simple feedforward controller is added to inject meal-time insulin bolus. Simulations scenarios were used to test the controllers, and showed the controllers ability to maintain the glucose levels within the safe limits in the presence of errors in measurements, modeling and meal estimation

A Gain Scheduling Model Predictive Controller for Blood Glucose Control in Type 1 Diabetes

This paper presents a control strategy for blood glucose(BG) level regulation in type 1 diabetic patients. To design the controller, model-based predictive control scheme has been applied to a newly developed diabetic patient model. The controller is provided with a feedforward loop to improve meal compensation, a gain-scheduling scheme to account for different BG levels, and an asymmetric cost function to reduce hypoglycemic risk. A simulation environment that has been approved for testing of artificial pancreas control algorithms has been used to test thecontroller. The simulation results show a good controller performance in fasting conditions and meal disturbance rejection, and robustness against model–patient mismatch and errors in mealestimation