Abstract: The invention relates to a method for measuring a parameter in a stratified target environment (2) using a non-invasive sensor (1) based on photoacoustic or photothermal detection. The method includes: a) providing a sensor with a light source (11a), a device to control multiple irradiation parameters, a detection cell (12), a memory storing a nodal frequency abacus, and an adaption module (14); b) the adaption module (14) selects an initial model configuration of the stratified target environment (CMirrad) for irradiation; c) the adaption module's processor (14) determines in the nodal frequency abacus a plurality of nodal modulation frequencies and selects at least one optimal modulation frequency (foptim); d) the light source (11a) irradiates the stratified target environment according to this case; e) the detection cell (12) detects the acoustic or thermal signal generated; f) the adaption module's processor (14) determines the parameter of interest based on the detected signal.

Abstract: A process for in situ testing an analyte monitor based on photoacoustic or photothermal detection comprising: a) providing an analyte monitor at a measurement position relative to a target; b) setting an irradiation configuration Cirrad of a light source of the analyte monitor comprising at least one triplet of irradiation parameters; c) irradiating the target with the light source configured with the irradiation configuration at a plurality of irradiation time points and measuring for each time point at least an amplitude A(fmod, ?, P) and a phase ?(fmod, ?, P) for at least one triplet of irradiation parameters; d) calculating with a processor at least one correlation coefficient R(fmod, ?, P) between the amplitude and the phase for at least one triplet of irradiation parameters over a window period Twin comprising at least two irradiation time points; e) comparing at least one of the at least one correlation coefficient R(fmod, ?, P) with at least one threshold value Rthresh; f) providing a test result

Abstract: A process for analyzing at least one parameter of interest in a target multilayer medium with a non-invasive sensor based on photoacoustic or photothermal detection, comprises a) providing a non-invasive sensor comprises a light source, a detection cell, a signal processing module, an adaptation module comprising a processor and a memory storing an abacus of correlation cases, the abacus of correlation cases comprising, for each of a plurality of pairs comprising one of a plurality of model configuration of the target multilayer medium and one of a plurality of irradiation configuration of the light source, at least one associated correlation case b) determining a particular model configuration of the target multilayer medium; c) determining a particular irradiation configuration for subsequent irradiation based on the abacus of correlation cases and on the particular model configuration.

Abstract: Method for measuring a parameter of interest in a target environment (2) by means of a non-invasive sensor (1) based on photoacoustic detection or photothermal detection, comprises: a) a sensor that comprises an adaptation module (14) is provided comprising a processor that implements an inverse modelling algorithm; b) the adaptation module chooses an initial model irradiation configuration; c) it determines, in a correspondence table, the optimal irradiation case; d) a light source irradiates the target environment according to the optimal irradiation case; e) a detection cell detects a signal; f) the processor of the adaptation module returns a current model configuration (CMmes) and an estimated value for the parameter of interest (Pest); g) the processor of the adaptation module evaluates the chosen model irradiation configuration, and only if this irradiation model configuration differs from the current model configuration; g1) it receives the current model configuration (CMmes).

Abstract: A method for determination of an event-related index for a human user, where: one provides time-based data for an observation period, with: time-based blood glucose data for the totality of the observation period, said time-based blood glucose data being derived from a continuous glucose monitor, time-based event data for the event period, a computerized index determination module determines said event-related index as a composite index of the blood glucose data related to the event period and the blood glucose data outside the event period.

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: Method for measuring a parameter of interest in a target environment (2) by means of a non-invasive sensor (1) based on photoacoustic detection or photothermal detection, comprisescomprising: a) a sensor that comprises an adaptation module (14) is provided comprising a processor that implements an inverse modelling algorithm: b) the adaptation module chooses an initial model irradiation configuration: c) it determines, in a correspondence table, the optimal irradiation case: d) a light source irradiates the target environment according to the optimal irradiation case: e) a detection cell detects a signal: f) the processor of the adaptation module returns a current model configuration (CMmes) and an estimated value for the parameter of interest (Pest): g) the processor of the adaptation module evaluates the chosen model irradiation configuration, and only if this irradiation model configuration differs from the current model configuration: g1) it receives the current model configuration (CMmes).

Abstract: An automated system for regulating a patient's blood glucose, including a blood glucose sensor, an insulin injection device, and a processing and control unit.

Abstract: A process for non-invasively analyzing a target with an analysis apparatus comprises an intensity modulation device, a light emitter emitting an intensity-modulated light, a detection cell comprising a sensor sensing directly or indirectly a thermal wave propagating out of the target in response to an irradiation of said target by the light emitted, a processor module configured to receive and process sensor data from at least one detection cell. The process comprises carrying out at least two irradiations of the target with the light emitter in a first mode, the modulation frequency of the intensity of the light emitted being swept during each of the irradiations in the first mode over a frequency sweep range, and the processor module receiving sensor data from a detection cell for each of the at least one irradiation in the first mode and forming with the processor module a time series.

Abstract: 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 fCR specific to the patient and taking into account a single blood glucose value Gr measured by the sensor, a factor CR representative of the patient's insulin sensitivity.

Abstract: 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.

Abstract: An automated closed-loop blood glucose control system comprises a continuous glucose-monitoring sensor (101), a subcutaneous insulin delivery device (103); and a controller (105) which determines a maximal allowable insulin injection amount and determines an insulin delivery control signal on the basis of the maximal allowable insulin injection amount and the quantity of insulin to inject.

Abstract: An automated system for regulating a patient's blood glucose, including a blood glucose sensor, an insulin injection device, and a processing and control unit.

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 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 fCR specific to the patient and taking into account a single blood glucose value Gr measured by the sensor, a factor CR representative of the patient's insulin sensitivity.

Abstract: 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.

Abstract: An automated closed-loop blood glucose control system comprises a continuous glucose-monitoring sensor (101), a subcutaneous insulin delivery device (103); and a controller (105) which determines a maximal allowable insulin injection amount and determines an insulin delivery control signal on the basis of the maximal allowable insulin injection amount and the quantity of insulin to inject.