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.

An improved method and system for identifying and displaying related images obtained during an examination is disclosed. Each image includes both pixel data, corresponding to the image to be displayed, and location information, defining a relationship between the pixel data and a reference point. During a review of the images, a physician may identify an abnormality or particular region of interest in one image. The location information corresponding to the position identified by the physician within the image is obtained from the image file. Having identified location information for a particular location on the first image, the system analyzes the location information corresponding to the pixel data for each of the other stored images to identify any other image that intersects the identified location. All images that intersect the identified location may then be displayed adjacent to the first image for inspection by the physician.

A system including a thermal sensor with an instrument placed in a volume. The thermal sensor may be useful in determining a temperature at a surface of the instrument and a distance away from the instrument. A therapy may be performed based on a sensed temperature with the thermal sensors.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

An electrocardiogram display apparatus includes an input processing part that inputs divided electrocardiogram data, which is obtained by dividing whole electrocardiogram data of a patient that has been measured over a predetermined time period into electrocardiogram data having a predetermined time length shorter than the predetermined time period, into a machine learning model realized by machine learning that uses a plurality of pieces of training electrocardiogram data each having the predetermined time length; a result acquisition part that acquires, from the machine learning model, a determination result indicating whether or not the divided electrocardiogram data includes a waveform portion suspected of indicating heart disease; and a display controlling part that causes a display apparatus to display information based on the determination result.

Various methods and systems are provided for a set of devices for an imaging system. In one example, the set of devices includes a first device configured to obtain a first set of image data and a second device configured to obtain a second set of image data along at least one dimension. The first and second sets of data may be compiled to generate a field-of-view (FOV) preview.

The present technology relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient. In some embodiments, the systems, methods, and/or computer readable media can identify steep changes in depths. For example, the systems, methods, and/or computer readable media can identify large, inaccurate changes in depths that can occur at edge regions of a patient. In these and other embodiments, the systems, methods, and/or computer readable media can adjust the identified steep changes in depth before determining one or more patient respiratory parameters.

An apparatus for assessing user frailty is disclosed. In embodiments, the apparatus includes a housing that defines (or is defined by) a body and a handle coupled to the body. The apparatus includes a force sensor at least partially disposed within the handle. The apparatus further includes an inertial sensor at least partially disposed within the housing. The apparatus may further include a user interface device disposed within a cavity of the body. The user interface device may be coupled to the force sensor and the inertial sensor via one or more signal paths. In embodiments, the user interface device includes a controller with a touchscreen coupled to the controller.

Among other things, a user of a browser is exposed simultaneously to three interfaces: A viewing interface for at least one image of a subject that is stored on a device on which the browser is running, a decision support interface that aids the user in determining the state of the subject based on the image, and a template interface that aids the user in capturing uniform descriptive information about the state of the subject. At least two of the viewing interface, the decision support interface, and the template interface operate cooperatively so that actions of the user with respect to one of the two interfaces causes changes in content exposed by the other of the two interfaces.

The radiographic system includes a camera that images a subject, a processor, and a display, in which the processor recognizes whether or not arrangement of the subject in a camera image captured using the camera matches arrangement of the subject in the imaging menu, and displays a first display mode for indicating presence of a result of the recognition, and displays a second display mode for displaying a content of the recognition result in a case of receiving an explicit display request for the recognition result, on the display.