In an example embodiment, this disclosure provides a non-transitive computer-readable medium on which are stored instructions executable by a processor, the instructions which, when executed by the processor, cause the processor to perform a method. The method includes computing, based on test performance data of a user, at least one of a performance variable characterizing cognitive functioning and a performance variable characterizing neuromotor functioning. For each of the at least one performance variable, a respective score can be computed based on the respective performance variable and based on a set of performance metrics. The method can also include outputting, via an output device, the at least one computed score.

Systems and methods for tracking unintentional high amplitude muscle movements of a user and stabilizing a handheld tool are described. The method may include detecting motion of a housing of the handheld tool when manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool, and storing the detected motion in a memory of the handheld tool as motion data. Furthermore, the method may include controlling a first motion generating mechanism and a second motion generating mechanism by generating a first motion signal and a second motion signal that respectively drive the first motion generating mechanism in a first degree of freedom and the second motion generating mechanism in a second degree of freedom to stabilize motion of the user-assistive device attached to the attachment arm of the handheld tool.

Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.

The present invention relates to a movement disorder monitor, and a method of measuring the severity of a subject's movement disorder. The present invention additionally relates to a drug delivery system for dosing a subject in response to the increased severity of a subject's symptoms. The present invention provides for a system and method, which can accurately quantify symptoms of movements disorders, accurately quantifies symptoms utilizing both kinetic information and electromyography (EMG) data, that can be worn continuously to provide continuous information to be analyzed as needed by the clinician, that can provide analysis in real-time, that allows for home monitoring of symptoms in subject's with these movement disorders to capture the complex fluctuation patterns of the disease over the course of days, weeks or months, that maximizes subject safety, and that provides remote access to the clinician or physician.

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.

Embodiments may provide a system for monitoring brain activity may comprise a plurality of sensors, each adapted to monitor a physical or physiological parameter and output a signal representing the monitored physical or physiological parameter, wherein the plurality of sensors includes at least one sensor comprising an optogenetic neurostimulator configured to transmit light to a location in the brain and an electrical sensor configured to record electrical activity at the location in the brain, a digital signal processor adapted to: receive the plurality of signals from the plurality of sensors and to process the signals to form digital data representing the monitored physical or physiological parameters, and process the digital data representing the monitored physical or physiological parameters using at least one of Fundamental Code Unit processing, Brain Code processing, and Intention awareness processing to determine presence of a neurological disorder or condition.

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.

A method of locating an implantation site in the brain includes inserting a plurality of multi-contact electrodes into a region of a target structure in an individual's brain. High Frequency Stimulation (HFS) is applied to a contact of a multi-contact electrode of the plurality of multi-contact electrodes. High Frequency Oscillations (HFO) evoked in the region of the target structure by the HFS are measured. Evoked Compound Activity (ECA) evoked in the region of the target structure by the HFS is measured. It is determined if at least one of the HFO and the ECA is above a predetermined threshold. If at least one of the HFO and the ECA is above the predetermined threshold, a location of the contact of the multi-contact electrode is identified as a site for electrode implantation in the individual's brain.

Functional imaging, in particular functional ultrasound imaging, is becoming a powerful tool for early detection of disorders such as neurodegenerative diseases. The present disclosure proposes a reliable method for such early detection, by delivering a stimulus to the nervous system, performing a functional imaging of an area of interest of the nervous system activated by the stimulus to obtain a series of hemodynamic Doppler images of the vascular network in the area of interest, and computing, from the series of hemodynamic Doppler images, a hemodynamic response (22) to the stimulus. The shape of hemodynamic response may be used to detect health disorders.

Provided herein are methods of detecting a neurological and/or physical condition in a subject. The methods include receiving physical intensity measures and/or stability measures from the subject to produce a subject data set. The methods also include applying a computational model of temporal and spatial data indicative of the neurological and/or physical condition to the subject data set to identify a substantial match between at least a subset of the subject data set and the computational model of temporal and spatial data. Additional methods as well as related systems and computer readable media are also provided.