In a method and handheld device for capturing and digitally storing images of a wound, stoma, fistula or stoma wafer site, a representation of a view field of an optical lens of a camera is represented at a monitor. A marker is inserted in the representation of the view field in the monitor before an image is stored, the marker being configured to aid a user's positioning of the digital camera relative to the wound area, stoma, fistula or wafer. The patient holds the handheld wound and stoma imaging device in a position relative to his/her own body or in relation to the wafer, while the monitor is simultaneously viewable by the patient. Upon receipt of auser-input for effecting digital storage of the image in the view field, the image is stored in a memory of the handheld wound and stoma imaging device. The device may include a tablet device of smart phone suitably programmed by means of an applet, and optionally an adapter for facilitating the patient's handling of the device.

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.

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.

Devices and methods are provided for analyzing images from a magnetic resonance (MR) system. The device includes at least one hardware processor coupled with a storage system accessible to the at least one hardware processor. The device further includes a display in communication with the at least one hardware processor. The device receives a plurality of non-contrast MR images in a region of interest (ROI). The device obtains blood flow signals from the plurality of non-contrast MR images. The device identifies an abnormal segment by analyzing the blood flow signals. The device displays the non-contrast MR images by a highlighted segment in at least one of the non-contrast MR images to indicate the abnormal segment on the display.

The present disclosure 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 regions in one or more regions of interest (ROI's) on a patient and assigning one or more visual indicators to the regions based on the calculated changes in depth of the regions over time. In some embodiments, one or more breathing parameter signals corresponding to the regions can be generated and/or analyzed. In these and other embodiments, the one or more visual indicators can be displayed overlaid onto the regions in real-time. In these and still other embodiments, the systems, methods, and/or computer readable media (i) can display one or more generated breathing parameter signals in real-time and/or (ii) can trigger an alert and/or an alarm when a breathing abnormality is detected.

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.

A method and automated system for processing blood in which the automated system includes a programmable controller, a database, and an interactive display screen for displaying information and receiving operator input. The programmable controller is configured to automatically control the system to perform the method. Upon activation of the system, the screen displays a listing of different blood processing procedures that may be performed using the system. The operator may then input into the controller an identification of a specified blood processing procedure that is to be performed, such that an initial list of parameters that are associated with the specified blood processing procedure are displayed on the screen. The operator may then input into the controller an identification of the parameters that are to populate the display screen during performance of the procedure and indicate a format in which the selected parameters are to be presented on the display screen. The controller then creates a display for the specified blood processing procedure. Current values of the selected parameters in the selected format are displayed on the screen during performance of the specified procedure. The controller automatically saves an image of the display screen periodically during performance of the specified blood processing procedure, and transfers information from the saved images of the display screens to a procedure record form.

Systems, methods and computer program products are provided for reading and scoring ultrasound and/or optoacoustic (US/OA) images that include at least one of OA images or US images acquired in connection with an examination for a region of interest (ROI). The system displays a first image that has an interior ROI outline separating an internal zone from a boundary zone. In some aspects, feature scores are obtained in connection with at least the boundary zone and peripheral zone of the first image and the feature scores are applied to a classification model to obtain at least one of a prognostic result or predictive result indicative of a trait of the lesion. In accordance with some aspects, an order in which feature scores are entered is automatically managed to obtain for the at least one of the peripheral zone or the boundary zone before the feature score is obtained for the internal zone.

A cartridge assembly for modifying a treating surface, having a body that defines a reservoir that has a standpipe. The reservoir stores a treatment composition. The body comprises a reservoir wall and a die wall that collectively define a reservoir volume. The standpipe is defined by a standpipe wall that extends into the reservoir from a standpipe base, wherein the standpipe base comprises a portion of the die wall. The standpipe base and the standpipe wall collectively define a standpipe volume. The ratio of the reservoir volume to the standpipe volume is from about 50:1 to about 3:1, preferably from about 20:1 to about 4:1, and more preferably about 8:1. Further, the ratio of the surface area of the die wall to the standpipe base is from about 1.1:1 to about 3:1.

The present disclosure is related to systems and methods for motion detection. The method includes obtaining, via a first detection device, original cardiac motion data of a subject located in a field of view (FOV) of a medical device. The method includes obtaining, via a second detection device, detection data of the subject. The detection data includes at least one of posture data of the subject or physiological motion data of the subject. The method includes determining target cardiac motion data of the subject by correcting, based on the detection data, the original cardiac motion data.