In a method and imaging device for ascertaining an absolute scan region on a patient, who is positioned on an examination table, for a subsequent medical imaging examination by operation of the medical imaging device, the height of the patient is ascertained, a relative examination region is ascertained, and the absolute scan region of the patient for the subsequent medical imaging examination is determined in a processor using the patient height and the relative examination region.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing EEG source localization. One of the methods includes obtaining brain data comprising: EEG data comprising respective channel data corresponding to each of a plurality of electrodes of an EEG sensor, and fMRI data comprising respective voxel data corresponding to each of a plurality of voxels; identifying, in a three-dimensional coordinate system, a respective location for each electrode; generating, using the respective identified locations of each electrode, data representing a location in the three-dimensional coordinate system of each voxel; determining, for each electrode, a region of interest in the three-dimensional coordinate system; and identifying, for each electrode, one or more corresponding parcellations in the brain of the subject, wherein each parcellation that corresponds to an electrode at least partially overlaps with the region of interest of the electrode.

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. Examples include flood fill methods and skin tone filtering methods.

A system for automatically determining a thickness of a wall of an artery of a subject includes an ECG monitoring device that captures an electrocardiogram (ECG) signal from the subject, and an ultrasound video imaging device, coupled to the ECG monitoring device, that receives the ECG signal from the ECG monitoring device, and captures a corresponding ultrasound video of the wall of the artery of the subject. The system produces a plurality of frames of video comprising the ultrasound video of the wall of the artery of the subject and an image of the ECG signal. A processor is configured to select a subset of the plurality of frames of the ultrasound video based on the image of the (ECG) signal, locate automatically a region of interest (ROI) in each frame of the subset of the plurality of frames of the video using a machine-based artificial neural network and measure automatically a thickness of the wall of the artery in each ROI using the machine-based artificial neural network.

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.

The present invention relates to a device and method for determining vital sign information of a subject (2). The proposed device comprises an input unit (11) for receiving image data of the subject, said image data including a sequence of images over time, an ROI selection unit (12) for selecting an initial region of interest, ROI, within an image, a feature selection unit (13) for selecting one or more spatial features of a body part within the initial ROI, a motion signal extraction unit (14) for extracting from said image data within the initial ROI the direction and/or amplitude of motion of a subject's body part related to a desired vital sign of the subject, a detection unit (15) for detecting one or more spatial features of said selected spatial features, whose motion is not related to the desired vital sign of the subject, a tracking unit (16) for tracking the initial ROI based on changes of the position of said one or more detected spatial features within the initial ROI, to obtain a final ROI, and a vital signs extraction unit (17) for extracting the desired vital sign from the final ROI.

The present invention relates to a device, system and method for determining the core body temperature of a subject. To enable continuous core body determination without having to place or direct a sensor at a precise position of the subject's body, the device comprises an image data input (31) for obtaining image data (11) of a subject's skin, a thermal sensor data input (32) for obtaining thermal sensor data (21) of the subject's skin, an image analysis unit (33) for deriving photoplethysmography, PPG, signals from the obtained image data and for detecting one or more skin areas (34) having the strongest PPG signals, and a temperature determination unit (35) for determining the core body temperature (36) of the subject from obtained thermal sensor data for the detected one or more skin areas.

Evaluating a pressure ulcer includes: detecting in a color input image a boundary of the pressure ulcer to get a RGB region of interest (ROI) image; converting the RGB ROI image to a grayscale ROI image; processing the grayscale ROI image using a Linear Combination of Discrete Gaussians (LCDG) process to estimate three main class probabilities of the grayscale ROI image; processing the RGB ROI image using predetermined RGB values to estimate the three main class probabilities of the RGB ROI image; and combining the probabilities of the grayscale ROI image and the probabilities of the RGB ROI image to determine an estimated labeled image; and normalizing and refining the estimated labeled image using a Generalized Gauss-Markov Random Field (GGMRF) process to produce a final segmentation image.

A method, including receiving from mapping electrodes positioned at locations within a heart, signals indicating electrical activity in tissue contacting the electrodes, and processing the signals to identify, for each location, at least one corresponding LAT in a cycle of a heart. For each location, an earliest LAT in the cycle is identified, and an electroanatomical map including mapping points having respective locations and showing the earliest LAT at each location is generated and rendered. An input selecting a subset of the points is received, and a time range containing the earliest LAT of a majority of the points in the subset is identified. One or more outlying points in the subset are identified, and a second LAT, later than the earliest LAT in the cycle is found among the at least one identified LAT identified at the outlying points. The map is updated to display the found second LAT.

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.