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 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.

A system for tracking relative displacement between a first element and a second element in a structure, the system includes: a permanent magnet fixed relative to the first element; a magnetic sensor fixed relative to the second element, the magnetic sensor configured to measure a magnetic field strength; and a processor configured to determine the relative displacement between the first element and the second element, based on the magnetic field strength measured by the magnetic sensor. This invention has particular applications in e.g. orthopaedic prostheses. A related method includes the steps of measuring, using the magnetic sensor, a magnetic field strength; and determining the relative displacement between the relative displacement between the first element and the second element, based on the magnetic field strength measured by the magnetic sensor.

A wearable monitoring device has an elongated adhesive-bearing body that includes a controller and at least one sensor operatively connected to the controller. The sensors are disposed and configured to capture data associated with bodily joint movement when worn overlying and/or adjacent the joint. The sensors may capture data relating to one or more of angle of flexion, repetitions, range of motion, speed, body temperature, moisture, pH level, atmospheric conditions, and location. Captured data may be interpreted to identify movement parameters and compare them to applicable movement limits, such as those associated with post-operative instructions. Movements exceeding limits may result in alerts/warnings to the wearer, via an associated smartphone or wearable notification device. Movement and/or alert data may be transmitted to the user's smartphone, etc., to a centralized monitoring system, and/or to a healthcare provider's and/or electronic medical records system, to facilitate recordkeeping and patient monitoring.

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.

An imaging support device used in a radiography apparatus including a radiation source and a radiation image detector that detects a radiation image of a subject on the basis of radiation emitted from the radiation source and transmitted through the subject, and includes an optical camera that optically images a region including an irradiation field of the radiation applied to the subject from the radiation source, and at least one processor. The processor acquires, as a first optical image, an optical image indicating the subject in the region by causing the optical camera to perform imaging in conjunction with radiography performed by the radiography apparatus, and stores a radiation image acquired through the radiography and the first optical image in a storage unit in association with each other.

Systems and methods relating to a smart elastic fabric tape are disclosed. For example, a method may include interrogating a sensing mesh using an electrical impedance tomography (EIT) device, wherein the sensing mesh is affixed onto skin nearby a musculoskeletal (MSK) region of interest, wherein the sensing mesh comprises a nanocomposite thin film disposed on elastic fabric tape, and wherein the sensing mesh forms a geometrical pattern on the skin; generating, in real-time, EIT conductivity maps from interrogating the sensing mesh; and generating, in real time, strain distribution and strain directionality data of the MSK region of interest based on the EIT conductivity maps.

Attachments for isokinetic dynamometers and methods of use thereof are provided for use with subjects having limb impairments. An example dynamometer attachment for use with a subject having an impaired limb includes a frame that has fixed thereto a padded limb support, where the padded limb support is configured to secure an impaired limb of the subject. The padded limb support includes a securing mechanism for securing the impaired limb relative to the frame, and the frame is connected to the dynamometer lever arm via an intermediate connector assembly. The connector assembly permits translation of the padded limb support in at least two dimensions relative to the lever arm prior to securing the frame fixedly in place. The translation adjustability of the attachment facilitates the alignment of the dynamometer attachment to the limb or partial limb of the subject without requiring movement of the subject.

A grip assessment device includes a support structure having a periphery, a cover positioned around the support structure and configured to define a grip surface, and a plurality of sensor elements disposed along the periphery of the support structure, each respective sensor element of the plurality of sensor elements being configured to generate an output signal indicative of force applied to the grip surface at the respective sensor element. The plurality of sensor elements are distributed across the grip surface such that the output signals from the plurality of sensor elements are collectively indicative of a grip profile along the grip surface, the grip profile providing grip position data and grip magnitude data correlated with the grip position data.

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.