A method of operating a radar sensor system that is configured to determine range and velocity information from radar waves reflected by a scene in an interior of a vehicle for vital sign detection. The method includes steps to decompose reflected and received signals into range and velocity information, to measure the movement over time in specified range gates and to evaluate the similarities between them. Based on the characteristics of similar behaving range bins, it can be decided whether any detected movement is related to an internal or external disturbance or by vital signs.

A method, performed by a wearable device, of outputting a torque includes obtaining a first angle of a first joint of a first leg of a user and a second angle of a second joint of a second leg of the user, calculating a first adjustment angle, based on an offset angle set for the first angle and the first joint, determining a first state factor associated with the first angle and the second angle, based on the first adjustment angle and the second angle, determining a first value of a parameter for adjusting at least one of a magnitude, a direction, and timing of a torque to be output, determining a first torque value, based on the first state factor and the first value of the parameter, and controlling a motor driver of the wearable device to output the first torque value.

Diabetes analysis system for analysis and interpretation of data related to glucose level (GL) in blood. The system includes an input module to receive GL related data from measurements of interstitial fluid in subcutaneous tissue, and a hypoglycemia identification module to identify hypoglycemic events by performing a computer-implemented automatic search of the received GL related data. All uninterrupted glucose levels less than a predetermined level in a same time series are considered as one hypoglycemic event. A hypoglycemia classification module analyzes, for each identified event, the glucose data during a predetermined first time period preceding the hypoglycemic event, to determine the glucose level during the first time period. The hypoglycemia classification module determines the type of hypoglycemia event, based upon the glucose level during the first time period, by applying a computer-implemented pattern search procedure on a predetermined hypoglycemic classification scheme, in order to identify the underlying cause of hypoglycemia.

Toilet seat comprising a device for detecting values, in particular health-related values of a user, wherein the device for detecting values comprises a multispectral camera for collecting multispectral data, system for detecting values comprising such a toilet seat, and method for detecting values of a user.

The present invention is in the field of hearing tests. In particular, the present invention relates to systems and methods for determining the integrity of Auditory Nerve Fibers (ANFs) and/or afferent Auditory Nerve Synapses (ANSs) and/or inner-hair cells (IHC) in a subject.

The present invention relates to an apparatus for task determination during brain activity analysis. The apparatus comprises an input unit (20), a processing unit (30), and an output unit (40). The input unit is configured to provide the processing unit with measurement data of the brain of a patient performing a task during brain activity analysis. The processing unit is configured to determine a measure of brain activity based on the measurement data of the brain. The processing unit is configured to determine: that the patient should perform a different task to the task they are currently performing and select the different task; or that the patient should continue performing the task that they are currently performing; or that the patient should stop performing the task; The determination comprises utilization of information relating to the task and the determined measure of brain activity and information relating to a plurality of reference tasks and associated plurality of reference measures of brain activity. The output unit is configured to output an indication that the patient should perform the different task, that the patient should continue performing the task, or that the patient should stop performing the task.

The present invention relates to a breath analyzing system and method. In particular the invention relates to a breath analyzing system and method arranged to provide tracer-aided classification of the presence of a breath intoxicating substance above a limit concentration and providing status to a user about the progression of the classification. The method/system detects a peak in the tracer signal and defines an evaluation period corresponding to the duration of the peak. Measurements classification of the concentration of the intoxicating substance is used for the evaluation period, and if required to achieve a result, for a plurality of evaluation periods.

The present invention relates to a myocardial spectrometer probe, comprising: at least two separate light guides (120A, 120B), insertable in a tissue, wherein a first light guide (120A, 120B) is arranged to deliver light and a second light guide (120A, 120B) is arranged to collect light, and wherein the first light guide (120A, 120B) and the second light guide (120A, 120B) are arranged distinct to each other.

Various embodiments are described herein for a system and associated method for performing collagen assessment of an object using Photoacoustic Image (PA) data obtained for the object, wherein the method is performed by a processing unit and the method comprises: obtaining beamformed PA image data for the object using at least three wavelengths related to chromophores including collagen, oxyhemoglobin and deoxyhemoglobin, the three wavelengths being less than 1000 nm; performing spectral decomposition on the beamformed PA image data using the three wavelengths to obtain data that is used for generating at least one collagen map; and determining a collagen score for the at least one collagen map.

The present disclosure is directed to systems and methods for measuring and analyzing pupillary psychosensory responses. An electronic device is configured to receive video data with at least two frames. The electronic device then locates one or more eye objects in the video data and determine pupil and iris sizes of the one or more eye objects. The electronic device determines the pupillary psychosensory responses of the one or more eye objects by tracking a ratio of pupil diameter to iris diameter throughout the video. Several metrics for the pupillary psychosensory responses can be determined (e.g., velocity of change of the ratio, peak to peak amplitude of the change in ratio over time, etc.). These metrics can be used as measures of an individual's cognitive ability and mental health in a single session or tracked throughout multiple sessions.