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

Movea

Commissariat a L'energie Atomique Et Aux Alternatives

Institut National De La Sante Et De La Recherche Medicale

Stéphane Bonnet

Patrice Caillat

Pierre Jallon

Suzanne Lesecq

Christelle Godin

Philippe Peltie

Pierre Blandin

Pascale Pham

Hector-Manuel Romero Ugalde

Romain Blanc

Eléonore Doron

Michel Berger

Eléonore Maeva Doron

Alain Barraud

Olivier David

Sylvie Charbonnier

Alexandre Barachant

Mael Garnotel

Eléonore-Maeva Doron

Chantal Simon

Rémi Gerbelot Barillon

Mathilde Lubin

Raphaelle Roy

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 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.

System for predicting a patient's blood glucose level

A system for detecting the walk of a person has a housing (BT) with at least a biaxial movement sensor (CM). The housing is attached to the upper portion of the body of the person, so that a first measurement axis of the sensor (CM) coincides with the anteroposterior axis (AP) or the vertical axis (VT) of the body and so a second measurement axis of said sensor (CM) coincides with the mediolateral axis (ML) of the body. An analysis means (MA) analyzes the measurements delivered by the sensor (CM). The analysis means includes a processing means (MT) for processing over a time window the measurement signals delivered by the sensor (CM), which includes means for searching for a dominant frequency (MRFD) in said signals. The analysis means also includes a detection means (MD) for detecting the walk of the person when a ratio between the dominant frequency of the signal of the first measurement axis and the dominant frequency of the second measurement axis, or between the dominant frequency of a Euclidian norm of the vector of measurements transmitted by the sensor (CM) and the dominant frequency of the signal of the second measurement axis, is substantially equal to two.

System and method for detecting the walk of a person

A system for detecting an epileptic seizure in a prone person, comprising:

System and method for detecting an epileptic seizure in a prone epileptic person

A classification method for classifying neural signals, the method comprising the following steps: A method of selecting neural signal acquisition electrodes based on the Riemann geometry of covariance matrices of said signals. An application of said classification method and of said method of selecting electrodes to direct neural control.

Method and a system for classifying neural signals, and a method of selecting electrodes for direct neural control

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Lyons, France

Stéphane Bonnet