The invention comprises a method for noninvasively determining a sample property, comprising controlling photon generation from a source and analyzing signal from a set of detectors; irradiating an illumination zone of skin with the photons; and detecting diffusely reflected photons from the skin, the set of detectors respectively optically coupled to a set of detection zones of the skin positioned along a spiral path between a first and second radial distance from the illumination zone, where a first detection zone of a first detector of the set of detectors extends radially outward from the illumination zone to at least an inward radial distance, from the illumination zone, of a second detection zone of a second detector of the set of detectors, where at least one detection zone of the set of detection zones has a central radial distance from the illumination zone between the first and second radial distances.

The invention discloses a glycosuria measurement device, comprising a prism body and a housing. The prism body comprises a first accommodating space, a junction surface, a first light penetrating surface, a second light penetrating surface, a third light penetrating surface and a light-emitting surface. The first accommodating space accommodates urine. The junction surface is formed at a bottom surface of the first accommodating space. The first light penetrating surface is formed at the first lateral surface of the first accommodating space. The second light penetrating surface is formed at the second lateral surface of the first accommodating space. The third light penetrating surface is disposed opposite to the junction surface. The light-emitting surface is disposed opposite to the junction surface. The housing comprises a second accommodating space, a first light-emitting port and a second light-emitting port. The second accommodating space accommodates the prism body.

A healthcare apparatus includes a BCG sensor; a camera; and a processor configured: to detect a ROI) corresponding to the face from the color facial image; to convert the detected first color image into a black and white image to acquire a first black and white image; to convert the detected second color image into a black and white image to acquire a second black and white image; to apply the acquired first black and white image and the acquired second black and white image to a predetermined trained algorithm model to output a remote photoplethysmography (rPPG) signal waveform of the subject; to calculate a first stress index based on the first heart rate variability; to calculate a second stress index based on the second heart rate variability; and to output a stress index of the subject based on the first stress index and the second stress index.

A system includes a sensor for measuring a skin parameter. The sensor includes at least three spatially separated light sources for providing unpolarized visible light, a detector located at a first distance from each of the light sources selected from the range of 10-80 mm and at a second distance from the skin, and a polarizer including one or more of a segmented polarizer and a spatially varying polarizer. In a sensing mode, the light sources are configured to sequentially illuminate the skin with the light with optical axes at an angle of incidence selected from the range of 10°-80°, and the detector is configured to sequentially detect light reflected from the skin and generate corresponding detector signals.

Example systems, methods, and apparatus are provided for using data collected from the responses of an individual with the computerized tasks of a cognitive platform to derive performance metrics as an indicator of cognitive abilities, and applying predictive models to generate an indication of neurodegenerative condition. The example systems, methods, and apparatus also can be configured to adapt the computerized tasks to enhance the individual's cognitive abilities, and for using data collected from the responses of an individual with the adapted computerized tasks to derive performance metrics and applying predictive models to generate the indication of neurodegenerative condition.

A tissue hydration monitor and method includes a sensor module having a plurality of LEDs positioned to emit a plurality of different wavelengths of light toward the user's skin and a detector that detects light transmitted and reflected through the user's skin to generate signals corresponding to an intensity of detected light at each of the different wavelengths. A processor/controller module generates a baseline hydration level based on the received signals, calculates a relative hydration level, and generates an output indicative of relative hydration personalized to the user. The housing is secured against the user's skin by an adhesive patch or a strap.

Provided are systems and methods for determination of a concentration of one or more blood biomarkers of a human subject. The method including: determining, using a first machine learning model trained with a hemoglobin concentration (HC) changes training set, bit values from a set of bitplanes in a captured image sequence that represent the HC changes of the subject, the set of bitplanes being those that are determined to approximately maximize a signal-to-noise ratio (SNR), the HC changes training set including bit values from each bitplane of images captured from a set of subjects for which HC changes are known; determining, using a second machine learning model trained using a blood biomarkers training set, concentration of one or more blood biomarkers, the blood biomarkers training set including previously determined HC change signals from other subjects and one or more blood panels from those subjects as ground truth data.

A solid-state gas spectrometer for detection of molecules of target gases. An emitter generates light having wavelengths both within and outside of one or more absorption bands of a target molecule. The light provided by the emitter passes through an airway adapter. A reflective beam splitter splits the light transmitted through the airway adapter, into two convergent beams each focused on a light detector. One of the light detectors, which is covered by a filter that rejects light having wavelengths within one or more absorption bands of the target molecule, serves as the sensing detector. The other light detector, which may or may not be covered by a filter, serves as the reference detector. The concentration of a target gas molecule in the gas sample is estimated based on a differential signal that is generated using the signals received from the reference and sensing detectors.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Arrangements described herein relate to a headset system and a method to manufacturing the headset system, the headset system including a headset configured to lay on top of a surface and to support a head of a subject when the subject is in a supine position or a reclined position, at least one probe adjustment mechanism, and a probe coupled to the at least one probe adjustment mechanism and configured to emit acoustic energy.