Abstract: A method of reconstructing a spatial distribution of a characteristic (F) in an object, including a) acquisition of measurements (M) by a sensor, each measurement being able to be estimated a linear operator ((HF),P*F, (F)), applied to the spatial distribution of the characteristic (F), forming a forward model; b) with a processing unit, reconstruction of the spatial distribution of the object characteristic, by iterative minimization of an error, each iteration comprising an update of the spatial distribution of the object characteristic; where in step b), the minimized error includes a data attachment component (?D(f), ?D (F)) including a deviation between the acquired measurements and the measurements estimated by the forward model; a regularization component (?R (f), ?R (F)), including a sum of a norm of a spatial gradient of the feature, determined at different coordinates in the object.

Abstract: 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.

Abstract: The invention relates to a method for determining an arterial pressure of a user, by measuring a physiological parameter, the physiological parameter passing through an extremum when the transmural pressure of the artery is zero, the method comprising: a) applying a pressure to the artery, so as to modify the transmural pressure of the artery; b) measuring the physiological parameter of the user by means of a sensor; c) establishing a calibration function, the calibration function defining a relationship between the transmural pressure and the parameter; d) applying a pressure to the artery at a measurement time, and measuring the physiological parameter at the measurement time; e) estimating a transmural pressure at the measurement time; f) based on the transmural pressure estimated in step e) and on the pressure applied at the measurement time, estimating an arterial pressure of the user.

Abstract: 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.

Abstract: A drug delivery device includes a reservoir for containing a medical product, a distally projecting end-piece having an outer surface and a total length measured along a longitudinal axis of said end-piece, said end-piece defining an axial passageway for the transfer of said medical product contained in said reservoir, wherein a gripping surface is provided on a portion of said outer surface, said portion being located in a distal region of said end-piece, the length of said portion representing at most 40%, preferably less than 33%, of the total length of the end-piece. An assembly includes such a drug delivery device and an adaptor intended to be mounted onto the end-piece.

Abstract: A device is for estimating a blood pressure of a user by a combination of an acoustic mode employing acoustic emitters and acoustic detectors and an optical mode using light sources and photodetectors forming source—detector pairs. The device includes an acoustic selection unit to determine the pertinent acoustic emitter—acoustic detector pair as well as an optical selection unit to determine the pertinent light source—photodetector pairs.

Abstract: A method for determining a frequency or period of a time-domain variation in a physiological parameter, the physiological parameter varying periodically as a function of time, under the effect of a cardiac activity or respiratory activity of a user, the method comprising the following steps: a) detecting, using a detector, a signal representative of the physiological parameter of the user at various times; b) on the basis of the detected signals, obtaining a measurement function (g); c) obtaining a pulsed component (gAC) of the measurement function, the pulsed component being a periodic function the period of which depends on the cardiac activity or respiratory activity; d) on the basis of the pulsed component, determining heart rate (HR) or breathing rate (RR); the method being characterized in that step d) comprises selecting characteristic times of the pulsed component.

Abstract: A method for characterizing the blood pressure of an individual includes placing an optical device on a limb, the optical device having a light source arranged to emit light towards the limb, placing a photodetector facing the limb, and applying compression to the limb of the individual. The compression duration includes an increasing phase, in which the applied pressure increases, and a decreasing phase, in which the applied pressure decreases. During the compression duration, the limb is illuminated with the light source and the intensity of light is detected by the photodetector to obtain a time-dependent function. The method also includes applying low-pass filtering to the time-dependent function.

Abstract: 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.

Abstract: 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.

Abstract: A drug delivery device includes a reservoir for containing a medical product, a distally projecting end-piece having an outer surface and a total length measured along a longitudinal axis of said end-piece, said end-piece defining an axial passageway for the transfer of said medical product contained in said reservoir, wherein a gripping surface is provided on a portion of said outer surface, said portion being located in a distal region of said end-piece, the length of said portion representing at most 40%, preferably less than 33%, of the total length of the end-piece. An assembly includes such a drug delivery device and an adaptor intended to be mounted onto the end-piece.

Abstract: 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.

Abstract: A system for detecting an epileptic seizure in a prone person, comprising: at least one motion sensor with at least one measurement axis having fastening means for securing said motion sensor to said person; first means for determining a first probability of at least a first state transition diagram of the nocturnal activity of a prone person with respect to data representing the measurement signals of the motion sensor, said first diagram comprising predetermined probabilities of oriented transitions between two different or identical states, the probabilities of the states of said first diagram being predetermined; and second means for determining a second probability of at least a second state transition diagram for an epileptic seizure with respect to data representing the measurement signals of the motion sensor, said second diagram comprising predetermined probabilities of oriented transitions between two different or identical states, the probabilities of the states of said second diagram being pred

Abstract: A classification method for classifying neural signals, the method comprising the following steps: a) using a plurality of electrodes over a determined period of time to acquire a plurality of neural signal samples; b) estimating a covariance matrix of said neural signals; and c) classifying said neural signals, the classification being performed: either in the Riemann manifold of symmetric positive definite matrices of dimensions equal to the dimensions of said covariance matrix; or else in a tangent space of said Riemann manifold. 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.

Abstract: The invention relates to a protection device (10) for a needle of an assembly or of an injection device having a hub portion provided with a needle, the said protection device (10) comprising: an outer casing (20) formed of a first material; and an inner casing (30) formed of a second material different from the said first material and defining a cavity (32) for receiving in a sealing way at least the hub portion, said cavity (32) having an inner wall (34); attachment means (40) defined in the said cavity (32) to removably engage and secure said protection device (10) at least along a sealing line to the injection device; the protection device being characterized in that it further comprises aspiration limiting means (40, 50) for limiting the deformation of said cavity (32) when said protection device (10) is separated from the assembly or the injection device.

Abstract: Measurements of a mobile object and particularly a living being are made using two techniques, normally radiation attenuation and radiation emission, in synchronization to provide images of the object state. Movement displacement fields from one phase to the next are estimated for both techniques, but the final images obtained by the emission technique are improved by the knowledge of the displacement field obtained by the other technique that is more precise.

Abstract: The invention relates to a method for estimating the orientation in an inertial reference frame of a solid in motion equipped with an accelerometer and a magnetometer which are mounted on said solid. According to this method, an orientation of the solid is measured at a reference instant, said orientation being defined by a rotation matrix for rotating from the mobile reference frame of the solid at the reference instant to the inertial reference frame. A rotation matrix for rotating between the orientation of the solid at a subsequent instant n and said orientation of the solid at the reference instant is thereafter estimated. The orientation of the solid at the instant n is thereafter determined with the aid of the previously estimated rotation matrix and of the known orientation of the solid at the reference instant.

Abstract: A system for detecting an epileptic seizure in a prone person, comprising: at least one motion sensor with at least one measurement axis having fastening means for securing said motion sensor to said person; first means for determining a first probability of at least a first state transition diagram of the nocturnal activity of a prone person with respect to data representing the measurement signals of the motion sensor, said first diagram comprising predetermined probabilities of oriented transitions between two different or identical states, the probabilities of the states of said first diagram being predetermined; and second means for determining a second probability of at least a second state transition diagram for an epileptic seizure with respect to data representing the measurement signals of the motion sensor, said second diagram comprising predetermined probabilities of oriented transitions between two different or identical states, the probabilities of the states of said second diagram being pred

Abstract: A classification method for classifying neural signals, the method comprising the following steps: a) using a plurality of electrodes over a determined period of time to acquire a plurality of neural signal samples; b) estimating a covariance matrix of said neural signals; and c) classifying said neural signals, the classification being performed: either in the Riemann manifold of symmetric positive definite matrices of dimensions equal to the dimensions of said covariance matrix; or else in a tangent space of said Riemann manifold. 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.

Abstract: 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.