Abstract: A non-invasive method to determine a current functional blood oxygen saturation level: acquiring, at a sampling frequency, a photoplethysmography light response for each wavelength of a plurality of at least three wavelengths, resulting respectively in a first, second and third raw data series, applying a low -pass filter to each of the first, second and third raw data series, resulting respectively in a first, second and third DC data series representing an unmodulated amplitude response determining respectively in a first, second and third AC data series representing an unmodulated amplitude response, applying a. computation engine to the first, second and third AC and DC data series, and determining therefrom a user current blood oxygen saturation level.

Abstract: An interoperable subnet system may include multiple subnets. A subnet may execute one or more operations and generate a proof of computational integrity of the one or more operations. The subnet may include a certificate interface that generates a certificate of the proof of computational integrity associated with the subnet. The system may also include a certificate-recording system in communication with the subnets. The certificate-recording system stores a plurality of certificates from different subnets. The certificates stored allow the subnet to perform verification and to execute cross-subnet operations. In some embodiments, the certificates may include zero-knowledge proof and the certificate-recording system may enforce weak causality connections among certificates to allow fast verification of certificates while preserving privacy of each subnet.

Abstract: An interoperable subnet system may include multiple subnets. A subnet may execute one or more operations and generate a proof of computational integrity of the one or more operations. The subnet may include a certificate interface that generates a certificate of the proof of computational integrity associated with the subnet. The system may also include a certificate-recording system in communication with the subnets. The certificate-recording system stores a plurality of certificates from different subnets. The certificates stored allow the subnet to perform verification and to execute cross-subnet operations. In some embodiments, the certificates may include zero-knowledge proof and the certificate-recording system may enforce weak causality connections among certificates to allow fast verification of certificates while preserving privacy of each subnet.

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: Disclosed is a configuration for execution of a cross-chain protocol. The configuration receives, from a subnetwork of a plurality of subnetworks, a certificate comprising a plurality of dependencies specifying a substantially causal ordering of the certificate. The configuration applies the certificate and the plurality of dependencies of the certificate to a certificate digest. The configuration broadcasts a message to a peer-to-peer network communicatively linked to the plurality of subnetworks using a broadcast primitive. The message comprises the certificate and the certificate digest. The configuration compares the plurality of dependencies of the certificate in the certificate digest to a plurality of dependencies of the certificate in a certificate history. The configuration validates the certificate based on the comparison, and, applies the certificate digest to the certificate history based on the validation.

Abstract: A system and a method are disclosed for enabling cross-chain transactions between a first blockchain and a second blockchain. A certificate for a cross-chain transaction processed by a sidechain is received. Additionally, a verification key associated with the sidechain is received. Moreover, information related to the cross-chain transaction processed by the sidechain is received. Based on the verification key associated with the sidechain, the validity of the certificate is verified using a zero-knowledge proof. In response to determining the validity of the certificate, the cross-chain transaction is processed based on the received information related to the cross-chain transaction processed by the sidechain.

Abstract: The disclosure is directed to a sensing device, configured to be installed in a bedding, for monitoring a user's sleep, the device comprising: a sensing part, for acquiring/determining a value representative of an a force or pressure and/or a value representative of a variation of a force or pressure, a housing comprising at least a pressure transducer and an electronic processing unit, a microphone connected to the electronic processing unit, wherein the electronic processing unit is configured to process first and second electrical signals delivered respectively by the microphone and the pressure converter, wherein the electronic processing unit is either configured to deduce locally at least a breathing disturbance therefrom or configured to send data representative of the first and second electrical signals to a remote device.

Abstract: A method to determine breath disturbances of a user, in a device comprising three LEDs configured to emit light rays at three wavelengths, a photodiode, a control unit and a motion sensor, the method comprising: a- acquiring, at a predefined sampling frequency, a PPG light response for each wavelength, resulting in a first, second and third raw data series representing an amplitude response, and acquiring motion signals, resulting in a fourth raw data series, b- applying feature extracting filters to the raw data series, for outputting pattern channels comprising: variation (DSpO2) of blood oxygen saturation level, variation (DRSA) of Respiratory Sinus Arrythmia, variation (DRR) of Respiration Rate, Motion index, Heart Rate Variation, variation of AC and/or DC component of PPG light response, c- applying a 1D CNN to the pattern channels for determining a breathing disturbance event and AHI.

Abstract: A non-invasive method to determine a current functional blood oxygen saturation level (SpO2): a—acquiring, at a sampling frequency, a photoplethysmography light response for each wavelength of a plurality of at least three wavelengths (?1, ?2, ?3), resulting respectively in a first, second and third raw data series, b—applying a low-pass filter to each of the first, second and third raw data series, resulting respectively in a first, second and third DC data series representing an unmodulated amplitude response c—determining respectively in a first, second and third AC data series representing an unmodulated amplitude response, d—applying a computation engine to the first, second and third AC and DC data series, and determining therefrom a user current blood oxygen saturation level.

Abstract: The description relates the feature matching. Our approach establishes pointwise correspondences between challenging image pairs. It takes off-the-shelf local features as input and uses an attentional graph neural network to solve an assignment optimization problem. The deep middle-end matcher acts as a middle-end and handles partial point visibility and occlusion elegantly, producing a partial assignment matrix.

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 weighing scale having a thickness of less than 25 mm, comprising a first rigid bottom plate, extending along a reference plane defined by a first direction and a second direction, a second rigid top plate, at least four load cells 4, interposed between the first and second rigid plates, a set of linkages comprising arms, some arms extend in the first direction and some other arms extend in the second direction, each arm having an elongated shape with a first end attached to the first rigid plate and a second end rigidly connected to the second rigid plate, whereby a movement is provided along a third direction, the set of linkages preventing relative movement between first and second rigid plates along the first and second direction.

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 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: 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 thin weighing scale having a thickness of less than 25 mm, comprising a first rigid bottom plate, extending along a reference plane defined by a first direction X and a second direction, a second rigid top plate, at least four load cells 4, interposed between the first and second rigid plates, a set of linkages comprising arms, some arms extend in the first direction and some other arms extend in the second direction, each arm having an elongated shape with a first end attached to the first rigid plate and a second end rigidly connected to the second rigid plate, whereby a movement is provided along a third direction, the set of linkages preventing relative movement between first and second rigid plates along the first and second direction.

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 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 direct passage manometer includes a body into which at least two rectilinear channels open into a recessed curved surface at a central portion thereof. A diaphragm seals the curved surface at the center of the body and is fixed in place by a load cell. The load cell has a movement amplifying device and indicator mounted thereon. The movement amplifying device rests on the diaphragm, connects to the indicator and is fixed in place by the load cell. The opening holes of the two channels are elliptical in profile and machined so as to avoid any retention zones.