The disclosure relates to an extended-reality device having an interface, a computing unit, and a user interface. The extended-reality device may be configured to capture, using the interface, a procedure of an imaging examination using an imaging apparatus. The computing unit may be configured to determine information concerning the procedure of the imaging examination and to provide said information to a user of the extended-reality device using the user interface. The disclosure further relates to a system including an imaging apparatus with an extended-reality device, and to a method for providing information concerning a procedure of an imaging examination using the system.

The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi-electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.

Disclosed is a system (100, 200) for giving feedback based on motion before or during medical imaging, comprising: —an optical camera device (110, 210) that is configured to generate image data of at least two images of a subject (408) or of a part of a subject (408) which can be arranged or is arranged at a subject placing location (194) of a medical imaging device (192), and—a feedback signaling unit (120, 124) that is configured to generate based on movement data obtainable from the image data a feedback signal (Si1, Si2) that is perceptible by the subject (408) and/or by an operator of a medical imaging device or by MRI technician (192).

Systems and methods for monitoring the status of a joint or limb using color sensing. First and second color sensors are provided to sense first and second color encoded surfaces at first and second locations of a joint or limb, respectively. The color sensing data are processed to obtain the respective motion information of the first and second locations.

A detecting method and a positioning analysis method of human functional joint rotation center are provided. The detecting method of human functional joint rotation center includes: step 11: in a continuous motion, a human functional joint rotation center FCR is abstracted as a center of a flexible ball; step 12: at any moment during a test, position coordinates of the center of the ball (i.e. FCR) at the moment are determined according to position coordinates of M1, M2 and M3, and then the motion trajectory of the FCR is obtained in the continuous motion; the positioning analysis method performs positioning analysis of joint positions based on morphological parameters collected by 3D scanning. The detecting method is based on an idea of flexible ball, its operation is simple within a certain error range, and the method performs very well in the continuity of trajectory of joint.

A stretch-measurement probe includes an elongate outer sleeve, expansion feature associated with a distal portion of the outer sleeve, and an elongate inner rod disposed at least partially within the outer sleeve. The expansion feature is configured to allow a longitudinal distance between a proximal end of the outer sleeve and the distal end of the outer sleeve to be varied.

A method for determining an ROI in medical imaging may include receiving first position information related to a body contour of a subject with respect to a support from a flexible device configured with a plurality of position sensors. The flexible device may be configured to conform to the body contour of the subject, and the support may be configured to support the subject. The method may also include generating a 3D model of the subject based on the first position information. The method may further include determining an ROI of the subject based on the 3D model of the subject.

A walking state measurement system includes: an endless belt that defines a walking surface on which a subject walks and that travels along a walking front-rear direction; a marker provided on at least the walking surface along a circumferential direction of the belt; a first camera for taking an image of the subject from front, the first camera taking an image of the marker on the walking surface from above to generate a first image; a second camera for taking an image of the subject from front, the second camera taking an image of the marker on the walking surface from above to generate a second image; and a correction processing unit that corrects an image generated by at least either the first camera or the second camera based on a position of an image area of the marker included in each of the first image and the second image.

Systems and techniques for reliably predicting a motion phase for non-invasive treatment of the heart. The system and methods may account for both respiratory and cardiac cycles in characterizing the motion of the heart relative to the irradiation source. The system and methods may also include a heartbeat sensor that provides an independent reference indication of the cardiac phase to provide real-time or near real-time quality assurance of a current predicted phase indication. The disclosed system and methods may be configured for use in one of two modes: “beam-gating” and “beam-tracking”. For beam-gating, the predicted cardiac phase is compared to the desired gating window, based on the patient-specific treatment plan, to determine if a gate ON or gate OFF signal should be set. For beam-tracking, the predicted cardiac phase is used to load the appropriate beam parameters based on the patient-specific and motion phase-dependent treatment plans.

A positioning method of functional rotation center of shoulder based on rigid upper arm model includes: step 1: abstracting a human upper arm into a cylinder with FRCS as a center of top surface; step 2: determining a reference axis vector of the cylinder; step 3: determining an axis vector of the cylinder and a displacement from the reference axis vector to the axis vector; step 4: correcting a central axis direction of the cylinder; step 5: determining a height compensation of the cylinder, and positioning the FRCS. The method has higher accuracy for the positioning result of FRCS, the positioning result of FRCS has better stability relative to the upper arm and trunk, and can be used to establish a more accurate human digital dynamic model and predict more accurate human posture.