Commissariat &#xc0; L'&#xc9;nergie Atomique Et Aux &#xc9;nergies Alternatives

Hector-Manuel Romero Ugalde

Romain Blanc

Eléonore Maeva Doron

Eléonore Doron

Mael Garnotel

Eléonore-Maeva Doron

Chantal Simon

An automated system for controlling a patient's blood glucose, including a processing and control unit configured to predict the future trend of the patient's blood glucose based on a physiological model, wherein the physiological model includes a differential equation system describing the time variation of a plurality of state variables, and wherein at least one of the equations of the system takes as an input a variable EE(t) representative of the time variation of the patient's energy expenditure.

Automated system for controlling the blood sugar of a patient

An automated system for controlling a patient's blood glucose, including a blood glucose sensor, a device for measuring a physical activity of the patient, and a processing and control unit, wherein: the processing and control unit is configured to generate, by convolution of a signal PA supplied by the device for measuring a physical activity of the patient with a decreasing mathematical function H, a signal IPA representative of the influence of the patient's physical activity on his/her insulin sensitivity; and the processing and control unit is configured to calculate, from a first patient-specific mathematical model fCR and taking into account signal IPA and from a single blood glucose value Gr measured by the sensor, a factor CR representative of the patient's insulin sensitivity.

Automated system for monitoring a patient's blood sugar

An automated system for controlling a patient's blood glucose, including a blood glucose sensor and a processing and control unit, wherein the processing and control unit is configured to calculate, from a first mathematical model fspecific to the patient and taking into account a single blood glucose value Gmeasured by the sensor, a factor CR representative of the patient's insulin sensitivity.

An automated blood glucose control system, including a processing and control unit capable of predicting, based on a mathematical model, the future trend of the patient's blood glucose G(t), wherein the model takes as inputs: a variable EE(t) representative of the time variation of the patient's energy expenditure; variable IOB(t) representative of the time variation of the patient's quantity of insulin on board; and a variable COB(t) representative of the time variation of the patient's quantity of glucose on board, and wherein the mathematical model is a model of black box type, that is, a non-physiological model only defined by the observation of the effects of input variables EE(t), IOB(t) and COB(t) on output variable G(t), without taking into account the different known physiological mechanisms operating in the patient's body.

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Grenoble, France

Hector-Manuel Romero Ugalde