Ergonomic refraction station and procedure of use consists of a phoropter helmet, chair, work table, monitor and electronic circuit, which seeks to perform a refraction test in the conditions most similar to the usual work environment of the patient, for this it consists of a lightweight phoropter helmet, which adjusts to the size of the user, made of transparent material to allow contact with its surroundings and execute the usual movements of head, neck, eyes and working distance, parameters that are captured by optical, distance and inclination sensors, located on the phoropter helmet or on the flexible and adjustable table with swan neck arms.

Magnetic resonance (MR) apparatus and a monitoring unit, wherein the MR apparatus includes: a scanner unit to acquire medical MR data; a patient receiving region surrounded at least in part by the scanner unit; a patient positioning apparatus having a patient table designed to be movable into the patient receiving region; a position acquisition unit to acquire position data of a position of the patient table and/or of an object positioned on the patient table, wherein the position acquisition unit comprises a camera; and a setting unit operable, based on a provided setting parameter, to set the position of the patient table and/or of the object on the patient table, wherein the monitoring unit is designed so as, with the acquired position data, to provide the setting parameter for setting a position of the patient table and/or of the object on the patient table.

A system and method for performing range of motion measurements in an unsupervised manner. A user equipment with one or more cameras may be used with an application on the UE using the one or more cameras to measure range of motion of a user of the UE. The patient may record movement of the part of the body of interest, such as the head. The movement may be recorded in three dimensions (e.g., calculated from two dimensional coordinates of an image) and processed by the application, and the three rotational angles calculated corresponding to the difference between the final position of the head and the initial position of the head at the beginning of the recording. As a result, facial recognition is used to improve monitoring of range of motion during surgical recovery in an unsupervised environment.

A patient support apparatus includes a sensor capable of detecting vital signs and includes structures for monitoring the vital signs and providing local and/or remote indications to caregivers if the vital signs fall outside of acceptable limits.

A wireless optical communication system includes: a first optical communication device of an optical wireless module that is connected to a receive coil unit attached to a subject; and an arm mechanism that is provided on a ceiling of an examination room and capable of moving a second optical communication device disposed at an arm distal end to a front position or a rear position of a bore of a gantry. A processor is configured to: acquire link-up check information indicating which of the front and rear positions of the bore the second optical communication device is to be moved to during main scanning based on communication between the first and the second optical communication devices before the main scanning is started; and control the arm mechanism based on the link-up check information such that the second optical communication device is moved to one of the front and rear positions.

A system and method for performing range of motion measurements in an unsupervised manner. A user equipment with one or more cameras may be used with an application on the UE using the one or more cameras to measure range of motion of a user of the UE. The patient may record movement of the part of the body of interest, such as the head. The movement may be recorded in three dimensions (e.g., calculated from two dimensional coordinates of an image) and processed by the application, and the three rotational angles calculated corresponding to the difference between the final position of the head and the initial position of the head at the beginning of the recording. As a result, facial recognition is used to improve monitoring of range of motion during surgical recovery in an unsupervised environment.

An example apparatus includes a shell portion configured to be worn over a head of a subject. The shell portion defines a plurality of apertures. The apparatus also includes a plurality of spherical fiducial structures disposed on the shell portion. Each of the fiducial structures includes a first material doped with a second material. The second material is a contrast agent for magnetic resource imaging (MRI). The apparatus also includes a mounting structure disposed on the shell portion and configured to secure the shell portion to the head of the subject.

A method for positioning a mobile patient couch relative to a stationary medical device, comprises: capturing, by an optical sensor, a first optical marker in an image; providing the image to a controller; determining, by the controller, a position and/or orientation of the mobile patient couch relative to the stationary medical device based on the image of the first optical marker and/or of the first optical marker comprised by the image; and positioning the mobile patient couch by controlling the drive unit and/or the steering unit based on the position and/or orientation of the mobile patient couch relative to the stationary medical device.