The abnormal data processing system is provided with: a storage unit for holding a multiple-subject DB in which data on multiple subjects are accumulated and individual-subject DB in which data on individual subjects are accumulated; an individual-subject DB divergence-degree calculation unit for calculating an individual-subject DB divergence degree which is the degree of divergence of the new data from the individual-subject DB; a multiple-subject DB divergence degree calculation unit for calculating a multiple-subject DB divergence degree which is the degree of divergence of the new data from the multiple-subject DB; and a composite divergence degree calculation unit for determining a composite divergence by compositing the individual-subject DB divergence degree and the multiple-subject DB divergence degree using the number of data instances in the individual-subject DB. The abnormal data processing system determines whether or not the new data is abnormal on the basis of the composite divergence degree.

A system or method for motor rehabilitation of a paretic limb including: a first plurality of sensors for registering brain neurosignals; a body-actuator; a hybrid brain machine interface for decoding brain neurosignals into movements of the body-actuator; a second plurality of EMG sensors couplable to the paretic limb for registering its EMG activity; a device for providing the patient with instructions relative to a series of exercises and/or tasks to be carried out with the paretic limb;
wherein upon carrying out a series of training sessions, each session comprising at least a set of such instructions, the hybrid brain machine interface is configured to switch between controlling the movements of the body-actuator based on the decoded brain neurosignals and a hybrid control of the movements of the body-actuator, when a significant level of decodable EMG activity has been registered, the hybrid control being an EMG-gated brain control.

Provided is an effective stereognosis training system that integrates hardware and software to provide a simple, reliable, quantitative system to provide tactile rehabilitation and progress monitoring. The system can include an interactive device including a novel set of objects, that are combined with neuromodulatory systems such as wireless closed-loop vagus nerve stimulation to improve neural plasticity and expedite functional recovery. The system can send updates to therapists or clinicians to monitor progress and encourage compliance with prescribed therapy.

Disclosed are various embodiments of a virtual reality Berg balance scale. A patient can perform a Berg balance test using a virtual reality system. The system can include at least one wearable sensor worn by a patient, and at least one environmental monitor directed towards the patient. A computing device can acquire movement data from the wearable sensor. The computing device can acquire environment data from the environmental monitor. An application on the computing device can then calculate one or more balance scores based at least in part on the movement data and the environment data.

A system includes a plurality of test elements and a processor. The test elements are configured for execution of a motor task by an individual and generation of test data from trials of the motor task. The processor is configured to compute a motor test score from the test data to assess a potential neurological concern.

According to various embodiments, a system may be provided. The system may include: a platform including a plurality of engaging members; a portable device configured to engage with the platform using at least one engaging member of the plurality of engaging members; and a feedback member configured to provide information indicating whether the portable device is engaged with the platform.

Systems and methods are disclosed for detecting tremors in a subject. One method comprises receiving data from a digital device, the data comprising a plurality of digital device positions and a plurality of timestamps, each timestamp in the plurality of timestamps being associated with a digital device position in the plurality of digital device positions. The method further comprises determining a plurality of frequencies of hand movements of the subject based on the plurality of digital device positions and plurality of timestamps. The method further comprises determining a subportion of the data corresponding to frequencies of hand movements above a low tremor threshold, and determining a magnitude of tremors of the subject's hand based, at least in part, on the subportion of the data.

Embodiments disclosed include a system and method for development of core muscles' support, comprising a means for identifying a user qualifying movement, a means for detecting a core muscle contraction in the identified qualifying movement, a means for discriminating between a core muscle contraction and no core muscle contraction in the identified qualifying movement; and a means to provide feedback to the user.

Methods for preventing or treating motor-related neurological conditions include using ocular light therapy in connection with a conventional therapy for a motor-related neurological condition, such as a drug regimen, to adjust levels of melatonin and/or dopamine in the body of a subject. The ocular light therapy may include elevated levels of blue-green light or green light (e.g., light within a wavelength range of 460 nm to 570 nm, 490 nm to 570 nm, about 520 nm to 570 nm, etc.). The ocular light therapy may also include reduced levels of amber, orange and/or red light. Methods for diagnosing motor-related neurological conditions include use of ocular light therapy to cause a subject to temporarily exhibit one or more symptoms of any motor-related neurological condition to which the subject is predisposed, or which the subject may already be experiencing. A temporary increase in such symptoms may be effected by ocular administration of light including increased amounts of amber, orange and/or red light.

Disclosed are a system and a method for rehabilitation exercise of hands. The system and the method help a device sense movements of the hands more accurately. The device for rehabilitation exercise of the hands comprising multiple sense parts that are located on each part of a user's hand, and configured to sense movements of the each part; and communication part configured to send movement data sensed by the multiple sense parts to an output device.