Abstract: A method, apparatus and computer program wherein the method comprises: identifying a plurality of extrema points in a detected biosignal; comparing the identified extrema points with a plurality of sets of reference points wherein different sets of reference points correspond to different frequencies of the biosignal; and identifying the set of reference points that most closely fit the identified extrema points to determine a frequency of the biosignal.

Abstract: A thermometer device for temporal artery area measurement, configured to be used in a skin-touching stationary position, comprising an elongated body and a front portion having an end border arranged on a sensing plane (P), an array of N infrared sensors, with N greater than 8, a sensing region (SR) extending in the sensing plane over an area denoted SRA, at a distance denoted LF from a plane P2 containing the infrared sensors, the sensing region being encompassed within the border of the front end, an optical lens, interposed between the infrared sensors and the sensing region, to deviate light rays, wherein LF2<K×SRA, with K=3.

Abstract: A method for determining the weight of an entity/item to be weighed on a weighing device (1), the weighing device comprising at least a weight sensor and a control unit (4), the method comprising the following steps: /a/ collecting weight raw samples (WSi) of the total weight sensed at the weight sensor(s), at a sampling frequency (F0), and converting each of the weight raw samples (WSi) into digitalized weight raw samples (DSi), /b/ entering sequentially each of the digitalized weight raw samples (DSi) into a Butterworth filter, the latter issuing filtered weight samples (FSi), /c/ defining a rolling window (RW) containing a parametrized number NS of latest filtered weight samples (FSi), /d1/ determining, in the rolling window, the minimum (MIN) and maximum (MAX) values of filtered weight samples, /d2/ comparing the value of MAX?MIN with regard to a parametrized Threshold (T), /e/ if MAX?MIN is greater than Threshold (T), repeat steps /a/ to /d2/, and as soon as MAX?MIN is less than Threshold (T), output a

Abstract: A weighing device, configured to measure at least the weight of a person or an object, comprising a control unit, a sensory plate, a top plate, spacer pads, interposed between the plates, wherein the sensory plate has an emission transducer configured to generate, a burst of Lamb waves at the surface of the sensory plate, a reception transducer, to receive echoed Lamb waves propagated through the sensory plate, the temporal profile of the echoed Lamb waves being dependent on the weight applied to the top plate and passed by the spacer pads to the sensory plate, wherein the control unit determines the weight applied to the top plate by analysis of the temporal profile of the echoed Lamb waves.

Abstract: A urine analyzer device, configured to be installed in a toilet bowl, to be used several times, the device comprising a holder member, to attach the device to the rim of the toilet bowl, an electronic unit, enclosed in a housing, a urine reception area, with at least one electro-chemical sensor, configured to measure a quantity of at least one substance contained in urine, such as physiological compound or chemical component, a wireless coupler to send resulting data to a remote computing device, wherein the electro-chemical sensor comprises at least a ion selective Field Effect Transistor (ISFET), configured to sense levels of one or more physiological ions, thereby providing a urine analyzer device, readily available at home, simply installed in a toilet bowl, and that can be used several times subsequently.

Abstract: A method for estimating the elevation change traveled by a user, said method using a pressure sensor and a temperature sensor, the pressure sensor being adapted to be held fixed to the user, the method comprising: a)—an operation of periodically sampling raw pressure values, reading the current raw pressure at a first sampling frequency, the raw values being stored in the form of pressure or the corresponding altitude in a first buffer (B1), b)—a filtering operation based on the raw values stored in the first buffer, in order to determine filtered values, c)—a variance calculation, performed on at least a portion of the filtered values, in order to determine a condition for including the elevation changes corresponding to the observed pressure or altitude differences.

Abstract: An interaction method between a graphic tactile device such as a smartphone and a timepiece having at least two analog-type physical pointers is disclosed. Each of the pointers is controlled independently by a stepper motor and referenced relative to a ref-position. The timepiece comprises a control unit configured to handle time count and to control stepper motors. The smartphone has a value setting interface, and the timepiece and the smartphone communicate through a wireless remote short-range communication link. The method comprises the steps of initiating a calibration procedure, causing the minute pointer to be moved to the ref-position via the value setting interface, causing the hour pointer to be moved to the ref-position via the value setting interface, and ending the calibration procedure, and return to a normal time display, Thereby, starting from an initial unknown pointer positions, the control unit of the timepiece can accurately know the positions of pointers.

Abstract: Electronic scale including four feet, four strain gauges, an electronic control unit and a display, where the gauges are combined in pairs in first and second Wheatstone bridge type circuits, where a first intermediate-point of the bridge is selectively connected via a switch to an intermediate voltage source and where the first and second outputs of the amplifiers are summed by the electronic control unit in order to deduce therefrom a weight for an object present on the device, with indication for the user of off-center condition on the scale. Weighing method implemented in such a scale.

Abstract: A method for providing personalized recommendations to an individual, relating to monitoring his or her weight, comprising the steps of /a/ obtaining a plurality of prior weighings for the individual concerned, each weighing giving the total weight and the body fat percentage, /b/ deriving a characteristic curve (S1) for the individual by associating at least the total weight and the fat body mass, /c/ obtaining a target total weight (P2) for the user to achieve by the end of a target period, and therefore a target total weight change, /d/ deducing a target number of calories to burn, corresponding to target changes in the fat body mass and lean body mass deduced from the total weight change, /e/ providing the user with personalized instructions on exercise and/or diet.

Abstract: A method for determining a fertility period for a female human individual (FU), carried out in a device comprising a controller, a non-invasive heart sensor placed in contact or opposite to a portion of the skin of the individual, during the sleep of the individual, the heart sensor being configured to sense heart pulses of the individual and the controller being configured to determine the heart rate, the method comprising the following steps: /a/ collecting, at the sensor, heart pulses signals of the individual; /b/ extracting therefrom, at the controller, current heart rate during a night; /c/ calculating a minimal sleep heart rate denoted MSHR(i), over the night; /d/ comparing MSHR(i) with values of MSHR(k) recorded previously, and/or comparing MSHR(i) with a long term average of the minimal sleep heart rate values denoted LTHR; /e/ deducing therefrom a current ovulation probability index, according to a predefined criteria; /f/ if the ovulation probability index is higher than a predefined threshold deno

Abstract: A method for determining a fertility period for a female human individual (FU), carried out in a device comprising a controller, a non-invasive heart sensor placed in contact or opposite to a portion of the skin of the individual, during the sleep of the individual, the heart sensor being configured to sense heart pulses of the individual and the controller being configured to determine the heart rate, the method comprising the following steps: /a/ collecting, at the sensor, heart pulses signals of the individual; /b/ extracting therefrom, at the controller, current heart rate during a night; /c/ calculating a minimal sleep heart rate denoted MSHR(i), over the night; /d/ comparing MSHR(i) with values of MSHR(k) recorded previously, and/or comparing MSHR(i) with a long term average of the minimal sleep heart rate values denoted LTHR; /e/ deducing therefrom a current ovulation probability index, according to a predefined criteria; /f/ if the ovulation probability index is higher than a predefined threshold deno

Abstract: A method for determining the weight of an entity/item to be weighed on a weighing device (1), the weighing device comprising at least a weight sensor and a control unit (4), the method comprising the following steps: /a/ collecting weight raw samples (WSi) of the total weight sensed at the weight sensor(s), at a sampling frequency (F0), and converting each of the weight raw samples (WSi) into digitalized weight raw samples (DSi), /b/ entering sequentially each of the digitalized weight raw samples (DSi) into a Butterworth filter, the latter issuing filtered weight samples (FSi), /c/ defining a rolling window (RW) containing a parametrized number NS of latest filtered weight samples (FSi), /d1/ determining, in the rolling window, the minimum (MIN) and maximum (MAX) values of filtered weight samples, /d2/ comparing the value of MAX?MIN with regard to a parametrized Threshold (T), /e/ if MAX?MIN is greater than Threshold (T), repeat steps/a/ to /d2/, and as soon as MAX?MIN is less than Threshold (T), outpu

Abstract: A wearable device with an air quality sensor, the wearable device, comprising a housing enclosing an electronic board, a display arrangement, a battery, the housing lodging a cavity with an internal area, the cavity containing an air quality sensor in the internal area, the cavity being delimited by a cavity wall and by a membrane, the membrane having an inner wall oriented toward the cavity internal area and an outer wall opposed to the inner wall, the internal area of the cavity being in fluid communication with the ambient air through the membrane, the membrane being permeable to air and substantially not permeable to water.

Abstract: The present invention relates to a method of associating at least one state in a plurality of states to a new value output by a drifting sensor, the method comprising: /a/ receiving a signal from the sensor, said signal comprising a plurality of values; /b/clustering the values of said signal into a number of clusters equal to the number of the plurality of states, each cluster being associated with a respective state in the plurality of states; /c/ for the new value of the signal, associating at least one state in said plurality of states or a probability rating representing the probability to be associated with one state in said plurality of states for said new value of the signal, the associated state or the associated probability rating being determined based on at least distances (dH, dL) of said new value of the signal to respective clusters.

Abstract: A method implemented in a system which comprises a lightweight personal wearable monitoring device, supplied by a battery, comprising an accelerometer, a processing unit, a display, a remote server, said method comprising the steps: /a/ collecting, from a plurality of individuals caused to practice various physical activities from a set of predefined activities, acceleration data from sensing devices placed on each of said individuals, /b/ defining N small data-size specific metrics, computed from acceleration signals, which allow to define a global activity classifier, /c/ acquiring, at a first monitoring device worn by a first user, acceleration signals from the accelerometer of the first monitoring device, /d/ calculating, at the first monitoring device, over each lapsed time unit T1, specific metrics values from the sensed signals, to form a series of specific metrics values, /e/ send them to the processing unit, /f/ allocate an activity type for each time unit together with corresponding specific metric

Abstract: A thin personal weighing device comprising a bottom plate, extending along a reference plane, a top plate movably mounted with regard to the bottom plate along a direction perpendicular to the reference plane, four resilient elements directly interposed between the top and the bottom plate, four LC circuits positioned at a vicinity of an edge of the bottom plate, and a conductive material coating, arranged on the top plate, the four LC resonators and the at least conductive material coating exhibiting an inductance. Movement of the conductive material coating relative to each of the four LC resonators introduces a variation of the inductance. A computation unit detecting the variations of the inductance is electronically coupled with the LC resonators and configured to correlate the variations of the inductance with an actual weight placed on the weighing device. The thickness of the weighing device is less than 25 mm.

Abstract: A method implemented in a system which comprises a lightweight personal wearable monitoring device, supplied by a battery, comprising an accelerometer, a processing unit, a display, a remote server, said method comprising the steps: /a/ collecting, from a plurality of individuals caused to practice various physical activities from a set of predefined activities, acceleration data from sensing devices placed on each of said individuals, /b/ defining N small data-size specific metrics, computed from acceleration signals, which allow to define a global activity classifier, /c/ acquiring, at a first monitoring device worn by a first user, acceleration signals from the accelerometer of the first monitoring device, /d/ calculating, at the first monitoring device, over each lapsed time unit T1, specific metrics values from the sensed signals, to form a series of specific metrics values, /e/ send them to the processing unit, /f/ allocate an activity type for each time unit together with corresponding specific metric

Abstract: A method of counting steps of a user employs a first device, e.g. a personal activity monitor 1) and a second device, e.g. a smartphone 2) which communicate with each other. The method includes detecting and counting the steps of the user by the first device, detecting and counting the steps of the user by the second device, transferring step data from one of the two devices to the other of the two devices, and identifying at least a first time period (Tw) for which a difference in the number of steps counted by the first device and by the second device is greater than a predetermined threshold (S). The method further includes supplementing the step data recorded for the first time period in one of the two devices with the step data from the other of the two devices.

Abstract: Device for measuring the concentration of a predetermined gas, in particular CO2, comprising a cavity, a light source emitting light rays within a basic spectral range including visible and infrared, a detector configured to receive a portion of the light rays within a first predefined spectral range corresponding to high absorption of the predetermined gas, a photodiode configured to receive a portion of the light rays within a second predefined spectral range corresponding to low absorption of the predetermined gas, a control unit configured to calculate the concentration of the predetermined gas by comparing the radiant power received by the detector to the radiant power received by the photodiode.