A method and apparatus for quantifying differences in human sensorimotor performance useful for diagnosing, assessing, and/or detecting brain injury and/or a neurological disorder, or identifying exceptional performance in a subject. In a task a subject's limb movement is restricted to a limited workspace and an object moves towards the limb. The objective of the task is for the subject to contact the object with the limb within a set time period. During the task a perturbation directed to the object and/or limb, or other feature of the environment, may occur on some trials, requiring a rapid motor correction in order to contact the object, or the subject may receive an alternative instruction on whether to interact with the object. Position data and/or motion data and/or kinetic data of the limb or portions thereof with respect to a presented object are obtained, and a data set is acquired for a plurality of trials. The acquired data set provides information about brain injury and/or a neurological disorder in the subject or exceptional capabilities of the subject.

Systems and methods are disclosed for evaluating human eye tracking. One method includes receiving data representing the location of and/or information tracked by an individual's eye or eyes before, during, or after the individual performs a task; identifying a temporal phase or a biomechanical phase of the task performed by the individual; identifying a visual cue in the identified temporal phase or biomechanical phase; and scoring the tracking of the individual's eye or eyes by comparing the data to the visual cue.

Antibody formulations and methods useful for treatment of patients with AL amyloidosis.

Systems and methods are disclosed for human balance training. The systems and methods involve intermittently occluding the vision of a subject while the subject is engaged in a balance activity, such as walking on a balance beam, for example. Creating a brief period of continuous visual occlusion results in posterior parietal cortex activation, leading to enhanced balance training. The end result is much greater improvement in balance compared to physical training alone.

Computing devices, wearable devices, networked environments, and methods for bio-signal acquisition and monitoring skeletomuscular parameters are provided. First data indicative of movement parameters of knee joint of a patient for a test type is obtained from a wearable device. Second data indicative patient-specific parameters of the patient are obtained. A cluster to which the patient belongs is identified based on the patient-specific parameters and a prediction model. A normative range for the test type for the cluster is determined. The first data is processed to determine whether the patient falls within the normative range of the cluster and result is provided.

The present invention relates to the field of diagnostics. Specifically, it relates to a method for assessing Huntington's disease of the pre-manifest stage in a subject comprising the steps of determining at least one performance parameter from a dataset of fine motoric measurements from said subject, comparing the determined at least one performance parameter to a reference, and assessing Huntington's disease of the pre-manifest stage in the subject based on said comparison. Yet, the invention contemplates a device and a system for carrying out the aforementioned methods and the use of such device or system for assessing Huntington's disease of the pre-manifest stage in the subject.

Disclosed is a rehabilitation training apparatus. The rehabilitation training apparatus includes a pair of first tracks formed parallel to each other along first axis, a second track disposed on the pair of first tracks, and moving along the first axis, and formed along second axis, a hand holder disposed on the second track, and moving along the second track, and on which at least one of hand and arm of a user is held, a stopper for a track disposed on the pair of first tracks for limiting a movement range of the second track, and a stopper for a holder disposed on the second track for limiting a movement range of the second pair of first tracks, wherein the first axis and the second axis are disposed with an inclination.

The present disclosure generally relates to user interfaces for managing walking steadiness data. In some embodiments, a walking steadiness state is determined based on detected movement. When a first set of conditions are met, a notification is displayed. When a second set of conditions is met, the notification is not displayed.

A training apparatus is capable of generating and presenting a suitable training menu for finger exercise to maintain or improve a cognitive function and/or an exercise function of a human and supporting training of the human. The training apparatus includes a measuring apparatus and a terminal device. Analysis evaluating data based on measurement of the finger exercise including finger tapping is obtained, and the analysis evaluating data contains an evaluation value of an index item related to an exercise function of a user. A training menu for the user is generated based on the analysis evaluating data and contains a training item for the finger exercise. The index item includes at least one of an amount of exercise, endurance, rhythmicity, cooperativeness of both sides, or marker trackability. The training item includes an exercise to carry out the finger tapping in accordance with teaching information, stimulation, or a marker.

A technique for evaluating human cognitive and motor functions by a plurality of hand movement tasks is disclosed. A task execution method determines the execution order of a plurality of tasks which a test subject is caused to execute to acquire a characteristic quantity. A test subject group task database includes scores given in advance and characteristic quantities obtained from a plurality of tasks stored as past data corresponding to each of a plurality of test subjects. In a storage device, (1) a differentiation precision database for a case in which test subjects are divided into two groups by predetermined threshold value scores differentiated by the characteristic quantities, or (2) an estimation precision database for a case in which a score is estimated using the characteristic quantity for a predetermined score value is prepared for each of the tasks on the basis of the test subject group task database.