Hearing device including a housing worn at a user's ear; a movement detector providing movement data indicating movement of the housing; and a processor identifying, based on the movement data, movement features in a sequence. The movement features represent movement activity by the user. The processor determines a temporal characteristic of the sequence of movement features and/or an amplitude characteristic of the movement data associated with a movement feature in the sequence. A method of operating the hearing device, and a computer-readable medium storing instructions to perform the method. The processor controls maintaining a data record representing the temporal characteristic and/or the amplitude characteristic determined at a plurality of times; determines a deviation measure indicating deviation between the data record and the temporal characteristic and/or the amplitude characteristic determined at a time later than the plurality of times; and controls operation of the hearing device depending on the deviation measure.

A system and method for brainwave stimulation using altered natural stimuli is provided. The system may comprise a control module and a natural stimulus modulator and is configured to alter at least one natural stimulus signal with frequencies configured to induce brainwave stimulation especially in the range effective for Alzheimer's and other neurological pathologies. The system is configured to prolonged use such that subjects are not prohibited from participation in daily activities and therefore the brainwave stimulation is sufficiently prolonged for enhanced effectiveness. The method for brainwave stimulation may comprise the steps of applying alterations to and delivering at least one natural stimulus signal, measuring brainwave signals and adjusting the alterations accordingly.

Examples herein include systems for detecting cheating and changes in mental performance in card games, including bridge. The system can acquire board data for multiple events, the events including bridge games. For each event, determining performance values for a player based on the board and play data, wherein the performance values may additionally be based in part on timing data. The system can detect a deviation of by comparing the performance values against a threshold, wherein the threshold is based on past performance of known cheating players or the individual player. Then the system can alert a user when the likelihood of cheating or other changes exceeds a threshold.

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.

Described is a low voltage, pulsed electrical stimulation device for reducing inflammation in a subject, which can be useful in the treatment of concussions, traumatic brain injury, cancer, and so forth.

There is provided a dementia risk presentation system (10) that presents a dementia risk of a user. The presentation system includes: a first database (17) in which sample brain health data (17a), including at least one type of data for sample brain state data (17d) that are data relating to states of brains of sample subjects and sample cognition data (17e) that is data relating to cognitive ability which is a function of the brains, are associated with individual characteristics (17b) including at least one of an age, gender and physical information of each sample subject; a first recognition unit (11) that recognizes user brain health data (18a) including at least one type of data for user brain state data (41) and user cognition data (61); a second recognition unit (12) that recognizes user individual characteristics (43); and a risk presentation unit (30) that presents a chronological transition line (52) indicating transitions in the user brain health data of the user from the past to the present and a risk line (54) relating to dementia.

Systems and methods for measuring brain activity of a subject are disclosed, comprising: positioning a plurality of electric field sensors at multiple positions on the exterior of a skull of the subject; measuring one to three components of a plurality of instantaneous electric field vectors generated by a plurality of electric field sources, the electric field vectors being measured by the plurality of electric field sensors; and determining brain activity of the subject based on the measurement of the plurality of instantaneous electric field vectors.

This invention relates to methods and compositions for treating cognitive impairment associated with central nervous system (CNS) disorders. In particular, it relates to the use of inhibitors of synaptic vesicle glycoprotein 2A (SV2A), alone or in combination with valproate, in treating cognitive impairment associated with central nervous system (CNS) disorders in a subject in need or at risk thereof, including, without limitation, subjects having or at risk for age-related cognitive impairment.

Systems and methods are described for computing a quantitative index that characterizes Alzheimer's disease (“AD”) risk events based on a temporally ordered sequence of biomarker events. In general, the systems and methods described here implement a modified event-based probabilistic (“EBP”) model to calculate the risk index from biomarker data.

A system for evaluating the degree of brain dysfunction of a subject, such as a decline in cognitive function, calculates a difference in movement functions between both hands in a coordination movement. The system includes a storage device for storing time-series data on a finger movement task of each of both hands of a test subject acquired by a movement sensor; a data processing device for analyzing the time-series data stored in the storage device; and a display device for displaying an analysis result analyzed by the data processing device. The data processing device includes a movement waveform generation unit for generating a movement waveform corresponding to the time-series data stored in the storage device; and a difference-between-hands feature quantity generation unit for generating a difference-between-hands feature quantity which represents a difference in respective finger movement tasks between both hands, based on the respective movement waveforms of both hands.