A screening platform enables comprehensive ocular evaluations. The screening platform includes a harness that is configured to fit a head of a patient and that includes one or more electronic components that are operable to power an interchangeable module, a central processing unit (CPU) with a graphical processing unit (GPU), and the interchangeable module with communication capabilities to external computational devices, multiple display output devices, and several types of input devices from both an operator and a patient at-hand, wherein the interchangeable module is separable from the screening platform.

The invention refers to an apparatus for monitoring a subject (121) during an imaging procedure, e.g. CT-imaging The apparatus (110) comprises a monitoring image providing unit (111) providing a first monitoring image and a second monitoring image acquired at different support positions, a monitoring position providing unit (112) providing a first monitoring position of a region of interest in the first monitoring image, a support position providing unit (113) providing support position data of the support positions, a position map providing unit (114) providing a position map mapping calibration support positions to calibration monitoring positions, and a region of interest position determination unit (115) determining a position of the region of interest in the second monitoring image based on the first monitoring position, the support position data, and the position map. This allows to determine the position of the region of interest accurately and with low computational effort.

A solution for non-invasive determination of supraphysiological body joint kinematics. The solution obtains external images related to a test procedure of the body joint and performs image analysis on the obtained images to define a pattern of a plurality of spatial points in a region of interest. Each individual spatial point is defined by a unique pattern of neighboring surrounding pixels in each image, and the pattern is part of a high-contrast speckle pattern applied to the body joint. The solution identifies displacements of the spatial points in subsequently obtained images by tracing a location of the unique pattern of neighboring pixels in each image in relation to a base image of the body joint, calculates deformation measures from the displacements of the plurality of spatial points, and obtains deformation measures of a reference body joint. The solution compares the deformation measures and determines supraphysiological body joint kinematics from the comparison.

A system includes a sensor configured to generate data associated with movements of a resident for a period of time, a memory storing machine-readable instructions, and a control system arranged to provide control signals to one or more electronic devices. The control system also includes one or more processors configured to execute the machine-readable instructions to analyze the generated data associated with the movement of the resident, determine, based at least in part on the analysis, a likelihood for a fall event to occur for the resident within a predetermined amount of time, and responsive to the determination of the likelihood for the fall event satisfying a threshold, cause an operation of the one or more electronic devices to be modified.

The present technology relates to the field of medical monitoring. Patient monitoring systems and associated devices, methods, and computer readable media are described. In some embodiments, a patient monitoring system includes one or more sensors configured to capture first data related to a patient and a monitoring device configured to receive the first data. In these and other embodiments, the patient monitoring system can include an image capture device configured to capture second data related to the patient. In these and still other embodiments, the one or more sensors can be configured to instruct the patient monitoring system to display the second data.

A method of updating a protocol for a Virtual Reality (VR) medical test via a user device having a processor, the VR medical test being performed on a subject via a VR device worn by the subject, wherein the method is performed by the processor and the method comprises: displaying GUI elements associated with the protocol on the user device, the GUI elements having user adjustable settings for modifying a functioning of the VR medical test; receiving a selection input from the user device corresponding to a selection of the GUI elements; receiving a setting input from the user device that corresponds to the selected GUI elements; modifying the user adjustable setting for each of the selected GUI elements according to the corresponding setting input; and updating the protocol based on the user adjustable setting for each of the selected GUI elements and operations associated with the VR device.

An abnormal physical condition determination system includes: an extraction unit that extracts a plurality of feature quantities indicating a condition of a target person from an image of the target person; an accumulation unit that accumulates the plurality of feature quantities as time series data; a calculation unit that calculates a relationship between each feature quantity from the plurality of feature quantities accumulated in the accumulation unit; and a determination unit that determines an abnormal physical condition of the target person on the basis of the relationship. According to such an abnormal physical condition determination system, it is possible to appropriately determine the abnormal physical condition of the target person.

A fatigue estimation system that includes: an information output device (imaging device) that outputs information (images) regarding the locations of the body parts of a subject; and an estimation device that estimates a posture of the subject based on the information output by the information output device, and estimates the fatigue level of the subject based on the posture estimated and the duration of the posture estimated.

The present disclosure provides a system and method for motion field generation and image correction. The method may include obtaining a plurality of first sets of magnetic resonance (MR) image data of an object generated based on a plurality of first sets of imaging sequences. The method may include obtaining a motion curve of the object. The method may include obtaining position emission tomography (PET) image data of the object generated in a scanning time period. The method may include generating one or more target motion fields corresponding to the scanning time period based on the plurality of first sets of MR image data and the motion curve. The method may include generating one or more corrected PET images by correcting, based on the one or more target motion fields, the PET image data.

A walking training system includes a treadmill configured to prompt a trainee to walk, a display device installed such that the trainee views the display device while walking on the treadmill, a camera configured to image the trainee at an angle of view at which a gait of the trainee is recognizable, a calculation unit configured to calculate a tilt of a body core of the walking trainee based on an image captured by the camera, and a display control unit configured to control the display device to display a body core line associated with the tilt, and an index indicating at least an end of a permissible range of a deflection of the body core line.