A sensing system for tracking a center of rotation of a joint can include a computer system including processing circuitry configured to perform operations including: retrieve a first data set collected by a sensor device configured to be implanted into a patient in a fixed location on or within a first bone of the joint, the sensor device configured to collect data associated with movement of the first bone of the joint at a first time, retrieve a second data set collected by the sensor device at a second time subsequent to the first time; analyze the first and the second data sets to calculate first and second center of rotation locations; and compare the first and second center of rotation locations to track migration in the center of rotation of the joint over time.

Provided is a method of displaying location information of a bursa, which includes: obtaining shoulder ultrasound image data; detecting a fat layer located between a deltoid muscle and a tendon, based on information about an intensity of an echo signal contained in the shoulder ultrasound image data; detecting the bursa located between the fat layer and the tendon by using a location of the fat layer; and displaying the location information of the bursa on a shoulder ultrasound image generated based on the shoulder ultrasound image data.

Methods for evaluating subjects having conditions associated with loss of muscle function (e.g., a motor neuron disease, a neuromuscular disease, or a myopathy) by measuring muscle function (e.g., muscle strength) are disclosed.

A surgical planning system for use in surgical procedures to repair an anatomy of interest includes a preplanning system to generate a virtual surgical plan and a mixed reality system that includes a visualization device wearable by a user to view the virtual surgical plan projected in a real environment. The virtual surgical plan includes a 3D virtual model of the anatomy of interest. When wearing the visualization device, the user can align the 3D virtual model with the real anatomy of interest, thereby achieving a registration between details of the virtual surgical plan and the real anatomy of interest. The registration enables a surgeon to implement the virtual surgical plan on the real anatomy of interest without the use of tracking markers.

Determining a composite score includes deriving, based on an image set that includes at least one three-dimensional image of the synovial joint, first and second information. The first information indicates cumulative damage to the synovial joint. The second information indicates either one or both joint pain and loss of function of the synovial joint. The resulting composite score provides an objective measure of joint damage or an extent of joint disease.

A stiff shoulder evaluation device includes a simultaneous contraction index detection unit and a stiff shoulder evaluation unit. The simultaneous contraction index detection unit detects simultaneous contraction indexes of skeletal muscles at a plurality of positions and in antagonistic relationship with each other. The stiff shoulder evaluation unit evaluates a state of stiff shoulder from the simultaneous contraction index.

Disclosed herein are joint implants and methods for tracking joint implant performance. A method for monitoring a joint implant performance may include coupling a first implant to a first bone of a joint, the first implant including at least one magnetic marker. Coupling a second implant to a second bone of the joint, the second implant including at least one magnetic sensor to detect a position of the magnetic marker. Performing a first joint stress test to measure a baseline joint stability value, the baseline joint stability value being generated by the at least one magnetic sensor. Performing a second joint stress test to measure a second joint stability value, the second joint stability value being generated by the at least one magnetic sensor. Determining joint stability of the joint by comparing the baseline joint stability value to the second joint stability value.

Provided is a method performed by an apparatus for reading a shoulder disorder, the method including acquiring medical data including a shoulder image; preprocessing the acquired medical data; inputting the preprocessed medical data into a pre-trained neural network model to read a tear state of a rotator cuff; and generating result information on the medical data based on the read tear state of the rotator cuff.

The present disclosure includes systems and methods for deriving certain characteristics of the patient's body related to motion from captured motion data. The characteristics may be used to compare the characteristics of the supposed injury to the characteristics of a normally functioning body part as well as the functions of an injured body part. The present disclosure provides a reliable and reproducible way to determine whether a supposed injury is a feigned or exaggerated injury or an actual injury.

A method includes collecting reference motion data in a device from a motion sensor worn by a user for a movement having a predetermined classification. The motion sensor is attached to a limb having a joint. A user library entry is generated in the device based on the reference motion data and the predetermined classification. Additional motion data is collected in the device from the motion sensor. User motions in the additional motion data corresponding to the user library entry are classified in the device. Range of motion data associated with the user motions is generated in the device. A report is generated in the device including the user motions and the associated range of motion data.