A thickness analyzer unit for determining a thickness of a layer includes a temperature change device, a temperature sensor, a memory, and a controller. The temperature change device is configured to induce a temperature change of the layer from a first temperature value to a second temperature value. The temperature sensor is configured to generate first temperature data corresponding to the first temperature value and second temperature data corresponding to the second temperature value. The memory is configured to store the first and second temperature values, a thermal conductivity value, a specific thermal capacity value, and a density value. The controller is configured (i) to determine a time constant value of the layer based on the first and second temperature values, and (ii) to determine the thickness of the layer based on the time constant, the thermal conductivity value, the specific thermal capacity value, and the density value.

Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.

System and method for determining physiological parameters of a person are disclosed. A physiological parameter may be obtained by analyzing a facial image of a person, and determining, from the facial image, a physiological parameter of the person by processing the facial image with a data processor. A neural network model such as regression deep learning convolutional neural network is used to predict the physiological parameter. An image processor screens out images which can't be recognized as facial images and adjust facial images to frontal facial images for predicting of physiological parameters.

A skin analyzing device includes: a facial coordinates setting unit that sets facial coordinates on a facial image of a measurement subject by using, as a reference, a position of a facial portion identified from the facial image, a region-of-interest setting unit that sets a first region of interest to a first facial image of the measurement subject, and sets a second region of interest that has facial coordinates in common with the first region of interest to a second facial image of the measurement subject, and a skin analysis user interface (UI) unit that displays the first facial image and the second facial image next to each other, and displays a skin analysis result in the first region of interest with respect to the first facial image and a skin analysis result in the second region of interest with respect to the second facial image.

The present invention provides a novel system of hardware designed to capture and process in real time clinical observations of patient responses and reactions in different clinical and patient settings and situations, comprising: a patient biometric data recording system in a clinical office, a mobile real time episode or event data recording device system or a wearable device recording system.

The present invention relates to a device, system and method for less obtrusively determining a tissue characteristic of a subject, the device comprises a first control unit (11) configured to control an electromechanical transducer (31) by a first control signal (21) to transfer mechanical waves varying in a frequency range or with varying frequency content to an exposed tissue area of the subject; a second control unit (12) configured to control an electromagnetic radiation emitter (32) by a second control signal (22) to emit electromagnetic radiation towards the exposed tissue area of the subject; a radiation signal input (13) configured to obtain a radiation signal (23) indicative of electromagnetic radiation reflected from the exposed tissue area of the subject; and a processor (14) configured to determine a tissue characteristic signal (24) indicative of a tissue characteristic of the exposed tissue area of the subject derived from a frequency response or a frequency transfer function obtained from the obtained radiation signal in said frequency range or for said varying frequency content.

The present disclosure relates to a system for remote assessment of a patient, comprising: a first device associated to a physician, a second device associated to the patient, a medical device associated to the patient, wherein the second device is configured to communicate with the medical device, and wherein the medical device is configured to be programmed via the second device, wherein the first device is further configured to communicate with the second device, and wherein the second device is configured to be controlled via the first device, and wherein the second device is configured to acquire data indicative of at least one physiological parameter or of several physiological parameters of the patient. Furthermore, a method for remote assessment is provided.

This heart failure degree-of-exacerbation determination system comprises a storage device (11) and an arithmetic device (12). The arithmetic device (12) includes a heart failure degree-of-exacerbation determination means (121) for determining the degree-of-exacerbation of heart failure, on the basis of stored information which is stored in the storage device (11) and the correlation among a plurality of evaluation values which are associated with a acral portion of a patient.

A display device includes a display panel configured to display an image. A biometric sensor module is disposed on the display panel. The biometric sensor module is configured to output a first transmission signal having a first frequency to sense fingerprint information in a fingerprint sensing mode. The biometric sensor is also configured to output a second transmission signal having a second frequency that is different from the first frequency to sense skin condition information in a skin measuring mode.

Systems, methods, and apparatuses for enabling a plurality of non-invasive, physiological sensors to obtain physiological measurements from essentially the same, overlapping, or proximate regions of tissue of a patient are disclosed. Each of a plurality of sensors can be integrated with or attached to a multi-sensor apparatus and can be oriented such that each sensor is directed towards, or can obtain a measurement from, the same or a similar location.