A method of performing an objective functional evaluation of a person's physical capacity comprises of a computer program particularly designed to amass and assess test data in accordance with a selected standard. A wide variety of evaluation protocols are incorporated to lead an operator in a step-by-step process. The method includes special testing tools, many of which have been modified to input data directly into the computer diagnostic program. The interface may be a wired or a wireless connection. The software program may use an algorithm to calculate a coefficient of variation for the multiple trials of a test, using the entered data, to providing a determination of validity of the trials. A second algorithm calculates an average result of the condition-specific protocol of tests, after which the software program correlates those average results to a database of normative standards to compute an impairment rating.

A muscle segmentation method and system utilizes a trained machine learning system to identify and segment skeletal muscle from input magnetic resonance images of the shoulder. Properties of the muscle can be determined from the segmentation, and clinical treatment decisions can be more accurately made based on the determined properties.

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 electronic device includes at least one processor that identifies a cyclic change related to an arm swing of a user from a three-dimensional acceleration measured by a measurer. The at least one processor defines a two-dimensional plane containing a plane of the arm swing of the user from the three-dimensional acceleration measured at a wrist of the user, detects the cyclic change as a motion on an arc centered at a shoulder of the user in the two-dimensional plane, obtains, from the three-dimensional acceleration, a direction of a line segment connecting the wrist and the shoulder, and obtains a bending angle of an elbow of the user based on the line segment.

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 method for detecting symptomatic osteoarthritis in a human patient who is otherwise asymptomatic comprises: taking a plurality of magnetic resonance (MR) image signal features from MR sequences in a joint of the patient; submitting the MR image signal features to a classifier for performing a feature reduction for redundant or unnecessary features; calculating a signal texture index (STI) value from the remaining image features; comparing that STI value against the STI values of one group of individuals suspected of being vulnerable to developing osteoarthritis at the first point in time; and the same group of individuals years later; predicting from that comparison of STI values a likelihood of the patient developing osteoarthritis; and treating the patient accordingly.

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.

Wearable ergonomics improvement systems and related methods are disclosed. An example ergonomics improvement system includes a membrane including a first frame having a plurality of first cutouts defining a first pattern. The system includes a sensor coupled to the membrane and includes a second frame having a plurality of second cutouts defining a second pattern. The first pattern is complementary to the second pattern.