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 biological activity detection sensor is provided that includes a motion detection sensor that detects motion of a living body, a tremor sensor that detects a tremor of the living body, and a base member that can be mounted on the living body. The base member includes a first member that is deformable in accordance with a mounted state on the living body, and a second member that is less deformable than the first member. The tremor sensor is provided in the first member, and the motion detection sensor is provided in the second member.

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.

A technique for reliably measuring brain atrophy based on image data, such as data collected as part of an MRI scan of a subject's brain. Rather than measure anatomical features of the brain in one of the scan planes as output by an MRI system, the image data is reformatted to generate a slice that may be transverse to those scan planes. The transverse slice is generated by determining a location of anatomical landmarks and reformatting the image data to represent a slice through these anatomical landmarks. The Anterior and Posterior Commissures are useful landmarks and ventricle area is a useful characteristic to measure from the slice. The rate of change of this measured characteristic can be tracked to determine disease progression and may be useful for diagnosis or evaluation of treatments, and the technique may be applied during clinical trials.

Disclosed is a method for scoring in real time neural signals of a subject with respect to a reference state characterized by k=1 . . . K reference covariance matrices, the method including the following steps: (i) obtaining neural signals from the subject; (ii) computing a covariance matrix of the neural signals; (iii) computing the Riemannian distances between the covariance matrix and k=1 . . . K reference covariance matrices; (iv) computing a continuous score s in real time based on at least one of the distances computed in step (iii). Also disclosed is a system and method for self-paced modulation or external modulation of neural activity of a subject.

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.

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.

Aspects include methods, systems and computer program products for evaluating a patient for a movement disorder. The method comprises defining a patient to be evaluated and deploying a unmanned aerial vehicle (UAV) to a location of the patient. The UAV includes a patient evaluation feature and at least one sensor operably coupled to the patient evaluation feature. The UAV is positioned relative to the patient to measure a patient motor characteristic. The patient motor characteristic is measured with the at least one sensor. A movement disorder is determined based at least in part on the measured patient motor characteristic. A signal is transmitted based on the detecting the movement disorder.

A device for analyzing the regularity and symmetry of a sequence of N gait or running cycles of a person, comprising sensors for measuring raw time signals of a physical movement variable of a body segment, a processing unit connected to the sensors for measuring and configured to separate the raw time signals into distinct time signals Ci, the Ci series being associated with a given gait or running cycle i of the person, to calculate at least one similarity coefficient between the signal Ci associated with gait or running cycle i and another signal Cj associated with a gait or running cycle j of the person. A display is configured to display the matrix M(i,j) with each value of the similarity coefficient shown in the matrix M(i,j) in color to form a graduated color scale indicating the similarity between the gait or running cycles i and j.

The present invention relates to an apparatus for measuring the balance ability; postural deviation, reflex and fall risk assessment of a human subject. In particular, the present invention comprises of an elastic support mounted platform with dynamic response to external motion stimuli, a IMU and data analysis software processing device. The dynamic response from the platform also simulates realistic experience in moving over rough terrain with different topography.