A mobile-platform imaging device uses compression of the target region to generate an image of an object. A tactile sensor has an optical waveguide with a flexible, transparent first layer. Light is directed into the waveguide. Light is scattered out of the first layer when the first layer is deformed. The first layer is deformed by the tactile sensor being pressed against the object. A force sensor detects a force pressing the tactile sensor against the object and outputs corresponding force information. A first communication unit receives the force information from the force sensor. A receptacle holds a mobile device with a second communication unit and an imager that can generate image information using light scattered out of the first layer. The first communication unit communicates with the second communication unit and the mobile device communicates with an external network.

A fragrance suitable for a user can be provided. A mobile terminal includes: an acquisition unit that acquires a psychosomatic state from a physiological index of a user; an input unit that inputs future information of the user; a determination unit that determines a recipe including one or more types and a mixing ratio of one or more perfumes based on the psychosomatic state and the future information; and a communication unit that transmits the recipe to a fragrance generation device.

A method and system for creating a dynamic self-learning medical image network system, wherein the method includes receiving, from a first node initial user interaction data pertaining to one or more user interactions with the one or more initially obtained medical images; training a deep learning algorithm based at least in part on the initial user interaction data received from the node; and transmitting an instance of the trained deep learning algorithm to the first node and/or to one or more additional nodes, wherein at each respective node to which the instance of the trained deep learning algorithm is transmitted, the trained deep learning algorithm is applied to respective one or more subsequently obtained medical images in order to obtain a result.

According to an embodiment, an information display system includes a displacement measurement unit, a display unit, and a controller. The displacement measurement unit measures displacement of a measurement part. The display unit displays a time axis of signal detection. The controller controls the displacement measurement unit and the display unit. When a signal that is output from the displacement measurement unit meets a given condition, the controller determines that displacement of the measurement part is detected and displays detection information representing that the displacement is detected in any one of a time position and a time area on the display unit in which the displacement is detected.

An apparatus for predicting a body temperature is provided. The apparatus includes an external environment/activity estimation neural network configured to detect at least one facial region as a region of interest from an input thermal image of a target person to be measured, and estimate an environmental type including an external temperature and participation in physical activity based on a temperature of the at least one region of interest. The apparatus further includes a body temperature prediction neural network configured to predict a body temperature of the target person based on the environmental type estimated by the external environment/activity estimation neural network and the temperature of the at least one region of interest.

Hyperspectral videostroboscopy imaging is described. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a controller configured to cause the emitter to emit the pulses of electromagnetic radiation at a strobing frequency determined based on a vibration frequency of vocal cords of a user. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises electromagnetic radiation having a wavelength from about 513 nm to about 545 nm, from about 565 nm to about 585 nm, or from about 900 nm to about 1000 nm.

A medical data processing apparatus according to one embodiment includes processing circuitry. The processing circuitry obtains a compressed channel of data generated by compressing a plurality of first medical channels of data defined by first domain representation and respectively corresponding to a plurality of components, via an intermediate channel of data defined by second domain representation. The processing circuitry decodes the compressed channel of data to a second medical channel of data defined by the first domain representation based on a conversion process from the plurality of first medical channels of data to the compressed dataset.

An automated system for acquiring images of one or more capillaries in a capillary bed includes a platform for receiving a body portion of a subject, an imaging subsystem having a repositionable field of view and coupled to the platform to acquire images of at least a capillary bed of the body portion and a controller communicably coupled to the imaging subsystem to automatically reposition the field of view of the imaging subsystem to different areas of the capillary bed, and at each field of view within the capillary bed, activate the imaging subsystem to acquire images of one or more capillaries in the capillary bed.

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.

In a method for automatic control of an examination sequence in magnetic resonance (MR) system during recording of MR signals in an examination segment of a person being examined, which has two tissue components with two different MR resonant frequencies, an examination sequence for examination of the examination segment is determined. Further, whether the examination sequence includes an imaging sequence in which one of the two tissue components is to be suppressed and for which at least two different suppression options exist to reduce the one of the two tissue components during the recording of the MR signals is determined. In response to the determination that the examination sequencing included the imaging sequence, the method can include determining a sequence parameter of the examination for the imaging sequence; and selecting one of the at least two suppression options as a function of the sequence parameter determined for the imaging sequence.