A patient monitoring system includes a first imager configured to capture first image data of a target area within a first field of view. A second imager is configured to capture second image data of the target area within a second field of view. An emitter is configured to emit light within a predetermined wavelength range. A controller is configured to determine a facial region of a person in the first image data, determine a region of interest in the second image data that coincides with the facial region in the first image data, calculate a pixel value within the region of interest, adjust at least one of the emitter and the second imager is the pixel value is outside a predetermined pixel value range, and determine vital signs information from at least one of the first image data and the second image data.

An infection sensing system for determining whether a human or animal user has one of a plurality of infection conditions in response to a sensed condition of the user. The system includes a remote temperature measuring subsystem comprising a first, imaging sensor to capture a first image of a body part, a thermal imaging camera to capture a thermal image of the body part, and an image rocessor to process the first image to identify when the body part is present in a field of view of the thermal imaging camera. The system is also configured to determine one or more biomarker values for one or more further characteristics of the human or animal user. machine learning classifier processes the body temperature and further characteristic(s) to identify one of the infection conditions.

The present invention relates to the field of medical monitoring, and in particular non-contact, video-based monitoring of pulse rate, respiration rate, motion, and oxygen saturation. Systems and methods are described for capturing images of a patient, producing intensity signals from the images, filtering those signals to focus on a physiologic component, and measuring a vital sign from the filtered signals.

A body fluid sensing device with a body fluid capture structure and a body fluid measurement sensor positioned in the body fluid capture structure. A capacitance sensor is coupled to the body fluid measurement sensor. The capacitance sensor is used to assist in the positioning of a body part relative to the body fluid capture structure.

To enable improved adjustment of at least one shim channel for magnetic resonance imaging of an examination region of an examination object by operation of a magnetic resonance apparatus that has a shim arrangement with a first shim channel volume having at least one first shim channel and a second shim channel volume having at least one second shim channel, the examination region is divided into multiple of sections, multiple first shim parameter sets are determined for the at least one first shim channel, with one first shim parameter set among the multiple first shim parameter sets being ascertained for each of the multiple sections, a second shim parameter set is ascertained for the at least one second shim channel, taking into account the ascertained multiple first shim parameter sets, and magnetic resonance image data of the examination region are acquired, but before this acquisition, the at least one second shim channel is adjusted using the second shim parameter set and the at least one first shim channel is adjusted for acquiring the magnetic resonance image data from a specific section of the multiple sections using a first shim parameter set ascertained for that specific section.

An intraoral scanner having a tomography function capable of setting a tomography area using shape information of an oral cavity includes a shape measurement light projector that irradiates shape measurement light for obtaining a shape image of an oral structure; a shape measurement camera that obtains a surface shape image of the oral structure by detecting reflected light; an optical coherence tomography (OCT) body that transmits tomography measurement light to the oral structure and detect reflected light to obtain an internal cross-sectional image of the oral structure; an OCT scan probe that irradiates the tomography measurement light emitted from the OCT body onto a desired position of the oral structure and transfer the reflected light to the OCT body; and a beam splitter that superimposes optical paths of the shape measurement light irradiated from the shape measurement light projector and the tomography measurement light irradiated from the OCT scan probe.

An object information acquiring apparatus is used, which has: a region setter setting a first region and a second region inside an object; a plurality of probes each receiving an acoustic wave propagated from the object to which light is radiated and outputting an electrical signal; a sound speed determiner setting a plurality of sound speeds for the first region and the second region respectively; an imaging processor acquiring an image using an electrical signal for each sound speed of the first region and acquiring an image using an electrical signal for each sound speed of the second region; a characteristic amount acquirer acquiring a comparison characteristic amount in a common region of the first region and the second region for each sound speed.

A mobile hyperspectral camera system is described. The mobile hyperspectral camera system comprises a mobile host device comprising a processor and a display: a plurality of cameras, coupled to the processor, configured to capture images in distinct spectral bands; and a hyperspectral flash array, coupled to the processor, configured to provide illumination to the distinct spectral bands. A method of implementing a mobile hyperspectral camera system is also described.

A prescan is automated to the greatest extent practicable, allowing acquisition of a favorable image irrespective of skills of an operator, as well as minimizing the time related to the prescan. For a plurality of image types in imaging tasks, a comprehensive FOV including all FOVs respectively of a plurality of image types is set, and for the comprehensive FOV, it is determined whether or not an item adjusted by the prescan satisfies an allowable condition for each image type, and the prescan is executed to make an adjustment appropriate for the image type with the strictest condition, on the item not satisfying the allowable condition.

An electrophysiology map, for example a map of arrhythmic substrate, can be generated by acquiring both geometry information and electrophysiology information pertaining to an anatomical region, and associating the acquired geometry and electrophysiology information as a plurality of electrophysiology data points. A user can select two (or more) electrophysiological characteristics for display, and can further elect to apply various filters to the selected electrophysiological characteristics. The user can also define various relationships (e.g., Boolean ANDs, ORs, and the like) between the selected and/or filtered characteristics. The user-selected filtering criteria can be applied to the electrophysiology data points to output various subsets thereof. These subsets can then be graphically rendered using various combinations of colorscale, monochrome scale, and iconography, for example as a three-dimensional cardiac electrophysiology model.