A method and system for assessing balance and posture of a subject by employing virtual reality (VR) or augmented reality (AR) headgear is provided. The system includes memory, a processor, and the VR/AR headgear, providing an immersive environment. The VR/AR headgear includes a display for providing a plurality of visual stimuli. A gyroscope and an inertial measurement unit detect head movements and body sway of the subject in response to the plurality of visual stimuli. An eye tracking unit tracks eye movement of the subject in response to the plurality of visual stimuli. A base plate with sensors can measure center of gravity of the subject in response to movements of the base plate. A machine learning model then deciphers patterns based on measurement data from the gyroscope, inertial measurement unit, eye tracking unit, and base plate. A comprehensive report pertaining to the subject's posture and balance is then generated.

A system and method for range of motion evaluation and recording for physical therapy, ergonomics, training, and individual rehabilitation. While talking with the physical therapists, a frequently mentioned problem they encountered was to evaluate the range of motion of a patient during the performance of functional movements like standing up from a chair, taking objects off of the ground, squatting, and gait analysis. Physical therapists currently use a goniometer to measure the motion of a single angle and visually inspect for inconsistencies and subjectively assess the patient during performance of functional tasks.

A system for generating indications of neurological impairment is described. Baseline test data is gathered from neurological functioning tests performed on individuals at regular intervals via mobile devices. The system receives test data and updates baselines of expected neurological functioning for individuals. After an individual experiences an impairment, the system receives post-impairment test data from a mobile device associated with the individual and probabilistically determines a likelihood that the post-impairment test data is indicative of neurological impairment, and the system outputs an indication of the likelihood thereof.

A system and method for rehabilitating a patient. In some embodiments, a patient or other subject can stand on a balance plate and perform one or more tests in response to instructions or visual stimuli on a display screen. Data, such as Centre of Pressure data, can be obtained from the balance plate and processed by a processor in tandem with the progression of a test presented on the display screen. The information can be correlated and used to assist in diagnosing or rehabilitating the patient or subject.

Data regarding typing by a user may be collected and analyzed in order to assess one or more health conditions or functional states of the user. Each health condition that is assessed may be a disease or a symptom of a disease. For instance, based on the typing data, a computer may assess the presence, severity or probability of, or a change in, one or more symptoms such as: mild cognitive impairment; dementia; impairment of fine motor control; impairment of sensory-motor feedback; or behavioral impairment. A computer may calculate keystroke tensors that encode information about the typing. A computer may select or derive features from the keystroke tensors. These features may be fed into one or more machine learning algorithms, which in turn may output an assessment of a health condition or functional state of the user.

A method for treating a patient suffering from a neuromuscular discomfort, including fibromyalgia, by categorizing the patient into one of several treatment categories, and treating the patient though novel sequences of adjustments including atlas adjustments and dura mater fixing.

A balance training system including a riding plate; a load distribution sensor; a load sensor; a mobile body on which the riding plate, the load distribution sensor, and the load sensor are disposed; and a control unit configured to calculate a reference position based on positions of feet of a trainee detected by the load distribution sensor, then calculate a center of gravity position of the trainee based on the load detected by the load sensor, and control a movement of the mobile body based on a change of the center of gravity position with respect to the reference position. The control unit is configured to update the reference position based on the changed positions of the feet of the trainee when the change of the position of at least one of the feet of the trainee is detected by the load distribution sensor.

A method for picking up body signals from the head of a user comprises a) placing first and second electrodes on first and second different positions at a first side of the user's head in direct or capacitive contact with the user's head, said first side comprising a first eye of the user, the first and second electrodes being configured to pick up first and second electric potentials, respectively, from the user's body, and b) providing an Electrooculography signal representative of a corneo-retinal potential difference of said first eye of the user in dependence of said at first and second electric potentials. The first and second positions may be (substantially) located in a plane including the first eye of the user. A portable electronic device providing an Electrooculography signal, and a hearing device utilizing an Electrooculography signal is further disclosed.

Provided are a method and an apparatus for measuring an endolymphatic hydrops ratio of inner ear organs using an artificial neural network. The method of measuring an endolymphatic hydrops ratio includes obtaining a plurality of frame images obtained by capturing inner ear organs, obtaining a plurality of pieces of mask data corresponding to each of the plurality of frame images by inputting the plurality of frame images into a neural network, clustering the plurality of pieces of mask data according to the inner ear organs and obtaining representative images according to the inner ear organs according to certain conditions, and overlapping a target image synthesized by using the plurality of frame images and the representative images according to the inner ear organs so as to measure an endolymphatic hydrops ratio.

A method and system is provided for finding and analyzing gait parameters and postural balance of a person using a Kinect system. The system is easy to use and can be installed at home as well as in clinic. The system includes a Kinect sensor, a software development kit (SDK) and a processor. The temporal skeleton information obtained from the Kinect sensor to evaluate gait parameters includes stride length, stride time, stance time and swing time. Eigenvector based curvature detection is used to analyze the gait pattern with different speeds. In another embodiment, Eigenvector based curvature detection is employed to detect static single limb stance (SLS) duration along with gait variables for evaluating body balance.