Stands for measuring proprioception comprising a hand layer comprising one or more vertically offset portions configured to ensure proper placement of a patient's hand in a predetermined position, a top cover coupled to the hand layer, wherein the top cover is designed to obscure the patient's view of the patient's hand, and a support element coupled to the hand layer and configured to support the hand layer at a predetermined angle are disclosed. Methods for measuring proprioception are also disclosed.

In one example in accordance with the present disclosure, an emitter system is described. The emitter system includes an array of emitters. Each emitter emits waves towards a target surface. The emitter system also includes a control system. The control system includes a sensing system to determine whether emitters in the array are properly positioned relative to the target surface. A controller of the control system adjusts emitter sets of the array of emitters based on an output of the sensing system.

In embodiments, devices, methods and systems to analyze the different mediums of brain function in a mathematically uniform manner may be provided. For example, in an embodiment, a computer-implemented method for determining structure of living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing at least one physical condition of the living neural tissue, determining action potentials based on the signals received from the read modalities, determining frequency oscillations based on the signals received from the read modalities and the action potentials, determining neuron network structures based on the photonic signals received from the read modalities, the action potentials, and the frequency oscillations, wherein the neuron network structures are determined using a Maximum Entropy model, and mapping brain region activation by S+/R? events to observable linguistic events using the Maximum Entropy model.

A device is provided for stimulating neurons that includes a non-invasive stimulation unit that generates stimuli in multiple stimulation channels. The stimulation unit generates the stimuli to stimulate a neuron population in the brain and/or spinal cord of a patient using the stimulation channels in different locations. Moreover, the device includes a control unit that controls the stimulation unit to repeatedly generates sequences of the stimuli with the order of the stimulation channels in which stimuli are generated within a sequence being constant for 20 or more successively generated sequences before it is varied.

A system for predicting a likelihood of an occurrence of hallucinations in a subject including a master device configured to be at least one of moved, moved on, and manipulated by a subject, a slave device operably connected with the master device and adapted so that the subject is directly or indirectly touched by the slave device according with the master device's movement, a computer device operably connected to both the master and the slave device, the computer device configured to modulate at least one of a time, space, and force activation of the slave device in response to an activation of the master device, record data regarding a difference in at least one of time, space and force activation, compare the recorded data with reference data, and graphically or numerically showing the result of the comparison on a display device, as an indicator of the likelihood of the occurrence of hallucinations in a subject.

Computational models and methods and systems of using the model to estimate variable time delay in the sensorimotor system of a subject are provided. The computational model can estimate variable time delays in the sensorimotor system, predict sensory states based on delayed sensory feedback, and/or control the system in real time. The subject can be a human or a primate. Simulation experiments can show how the model can explain a sensorimotor system's ability to compensate for delays during online learning and control.

Systems and methods for assessing ocular cyclotorsion are provided utilizing an inter-aural axis location assembly, with a first gyroscope connected to the inter-aural axis location assembly, and a camera assembly for retinal imaging, with a second gyroscope connected to the camera assembly. A processor is utilized to calculate angles between the disc-foveal line, skull-horizontal axis, and earth-horizontal axis for use in determining ocular cyclotorsion, and the determinations or calculations may be used to generate a diagnostic report that may be provided via an output device.

Restless Leg Syndrome (RLS) or Periodic Limb Movement Disorder (PLMD) can be treated using high frequency (HF) electrostimulation. This can include selecting or receiving a subject presenting with RLS or PLMD. At least one electrostimulation electrode can be located at a location associated with at least one of, or at least one branch of, a sural nerve, a peroneal nerve, or a femoral nerve. HF electrostimulation can be delivered to the subject, which can include delivering subsensory, subthreshold, AC electrostimulation at a frequency that exceeds 500 Hz and is less than 15,000 Hz to the location to help reduce or alleviate the one or more symptoms associated with RLS or PLMD. A charge-balanced controlled-current HF electrostimulation waveform can be used.

Disclosed embodiments include a complete system and platform, and a method which allows for monitoring and supporting treatment for elderly care in clinic, home, and other normal daily environments. The system includes: (1) a pressure sensitive device for receiving force response from the elderly and convert the force response into digitalized pressure data, (2) a computing device for running a movement disorder assessment module to receive digitalized pressure data, display visual instructions and feedback, and process the digitalized pressure data for calculation of movement disorder scores, and (3) a cloud based digital diary to store, access and analyze the movement disorder scores, and generate reports on demand. The method will calculate the movement disorder scores based on the digitalized pressure data. A pressure sensitive device is also disclosed.

A method for assessing a cognition and movement disease or disorder in a subject suspected to suffer therefrom. A cognition and/or fine motoric activity parameter is determined from a dataset of activity measurements obtained from the subject using a mobile device. The determined activity parameter is compared to a reference, and the cognition and movement disease or disorder is assessed. Also disclosed is a method for identifying whether a subject will benefit from a therapy for a cognition and movement disease or disorder. The steps just described are performed along with the step of identifying the subject as one who benefits from the therapy if the cognition and movement disease or disorder is assessed. Also disclosed is a mobile device comprising a processor, at least one sensor, a database and software which is tangibly embedded in said device and, when running on said device, carries out the disclosed methods.