A system to provide health and wellness data, comprising a platform for placement; at least one imaging sensor associated with the platform for capturing images; and a processor adapted to analyze the images to determine health and wellness data is disclosed. A toilet for assessing health and wellness of a user, comprising a bowl supported by a base; a platform for placement of a user's feet; at least one imaging sensor mounted on the base; and a processor adapted to analyze the images to determine health and wellness is disclosed. A method for assessing health and wellness comprising acquiring one or more images of the foot a user; using a processor to analyze the one or more images for health and wellness factors; and making the results of the health and wellness analysis available to the user on one or more digital platforms is disclosed.

A system and method for imaging an anatomical structure corresponding to an infusion therapy anatomical site includes a processor to execute applications stored in a non-transitory computerreadable medium, the applications includes a first application to receive imaging information corresponding to radiant energy from the infusion therapy anatomical site, a second application to decompose the received imaging information into discrete image components, a third application to receive at least one of patient biographic profile characteristics and infusion therapy parameters, and a fourth application to receive the discrete image components, the patient biographic profile characteristics and the infusion therapy parameters and to provide a recommended clinical intervention based on at least one of the discrete image components, the patient biographic profile characteristics, and the infusion therapy parameters.

A diseased person distinguishing device includes a temperature pattern calculation unit that calculates a temperature pattern in an exposed region of a subject on the basis of temperature data input from a body surface temperature measurement device that measures the body surface temperature of the subject, and a subject distinguishing unit that applies a learned model that has been learned in advance to the calculated temperature pattern to determine whether the subject is a diseased person or a healthy person.

Ventilation system (having a ventilator and having a diagnostic device, wherein the ventilator comprises a ventilation unit for generating a respiratory gas flow for ventilation and a detection unit (for detecting a ventilation signal characteristic for the respiratory gas flow over time. The diagnostic device comprises a sensor unit for detecting a diagnostic signal over time. The synchronization unit is operationally connected to the detection unit and the sensor unit and is suitable and configured for studying a time curve of the ventilation signal and a time curve of the diagnostic signal respectively for a signal change caused by the same event and bringing the curve of the ventilation signal and the curve of the diagnostic signal into chronological correspondence so that the event occurs simultaneously in both signal curves.

The present invention relates to the non-invasive determination of glucose in blood, in particular to the non-invasive determination of glucose in capillary blood.

Medical implants including sensors are described. The implant may have a flexible shell with a base, wherein the plurality of sensors may be incorporated onto and/or into the shell. The plurality of sensors may be distributed at different locations of the shell. Each sensor of the plurality of sensors may be configured to measure one or more parameters such as, e.g., temperature and/or pressure, and may comprise an electromagnetic coil useful for wireless transmission of data. Each sensor may be configured to transmit data at a frequency different from the frequency of one or more of the other sensors, may be configured to transmit data at a time different from a time data is transmitted by one or more of the other sensors, and/or may include a device identifier different from the device identifier of one or more of the other sensors.

A method and system for presence and vitals detection of a living subject is disclosed herein. The system comprises a device that monitors and is an interface. The device comprises an RGB/IR imaging sensor, a radar, a processor, and a first communication module. The processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the RGB/IR imaging sensor to generate presence and vitals information for the living subject for communication to the device.

A computer-implemented method for obtaining thermal image data of a body part and a thermal imager are disclosed. The method comprises receiving image data of a body part, the image data including thermal image data, the thermal image data including thermal image data of the body part and background thermal image data, applying a classifier to the image data to detect a profile of the body part, the classifier being configured to use image data other than the thermal image data to perform the detection, generating a mask from said profile, and applying the mask to the thermal image data to remove the background thermal image data and obtain thermal image data of the body part.

A system for screening persons' temperatures comprises an imaging device configured to generate imagery data, including infrared image data, of a first scene and a second scene. The system receives imagery data from the first scene, identifies persons in the scene using the imagery data, and determines each person's temperature. The system further compares the persons' temperatures to a threshold and indicates a person should be directed to the second scene if the person's temperature is above a threshold. Subsequently, the system determines and compares the person's temperature in the second scene and provides an indication if the person's temperature exceeds a second threshold. Further, a confidence factor can be associated with determinations of persons' temperatures.

Systems and methods for measuring physiological responses caused by cognitive load and stress to calculate a probability of deception. The system comprises modules to determine changes in pupil dilation, flicker frequency, pupil eye trajectory, face temperature, respiratory rate, position of the user's facial points, heart rate, skin conductivity, body movements, arm temperature, temperature, and electroencephalography signals; and modules to provide stimuli to the user, record conscious responses from the user, receive physiological signals, and determine changes in the user's physiological variables associated with stress and cognitive load in response to the stimuli generated, to calculate a likelihood of deception in conscious responses.