A training device, which is used to cause a user to be trained to operate an extra part based on a measurement result of user's brain activity, causes the user to view an image in which the extra part is operating.

The circuit may include bio-stimulating signal generating circuit which generates a bio-stimulating signal in a bio-stimulating mode, a bio-signal electrode which delivers the bio-stimulating signal generated in the bio-stimulating mode and receives a bio-signal in a bio-signal measuring mode, a switch block which is turned on when a voltage of the bio-stimulating signal is greater than a first reference voltage which is greater than a second reference voltage or lower than the second reference voltage, first and second resistors, and a bio-signal measuring circuit which measures voltage signals divided by the first and second resistors or measures a signal of the bio-signal electrode according to whether the switch block is turned on. The first and second resistors may be serially connected between the bio-signal electrode and the switch block, and divide a voltage of a signal of the bio-signal electrode when the switch block is turned on.

A neurostimulation device includes a plurality of electrodes adapted to be electrically connected to a subject to receive multichannel electrical signals from the subject's brain, a multichannel seizure detection unit electrically connected to the plurality of electrical leads to receive the multichannel electrical signals, and a neurostimulation unit in communication with the multichannel seizure detection unit. The plurality of electrodes are at least three electrodes such that the multichannel electrical signals are at least three channels of electrical signals, and the multichannel seizure detection unit detects a presence of a seizure based on multichannel statistics from the multichannel electrical signals including higher order combinations than two-channel combinations.

The present disclosure relates to a method for reducing a listener's task-irrelevant auditory perception, the method comprising providing a measuring device or system configured for measuring the listener's alpha, beta gamma and/or theta activity and providing a generation device or system configured for generating an alpha, beta, gamma and/or theta activity boosting signal that, when provided to the listener will increase the listener's ongoing alpha, beta, gamma and/or theta activity. The listener's alpha, beta, gamma and/or theta activity is measured and if the measured alpha, beta, gamma and/or theta activity is below a predefined threshold, the listener's ongoing alpha, beta, gamma and/or theta activity is increased by the provision of the alpha, beta, gamma and/or theta activity boosting signal to the listener. This results in the listener's ongoing alpha, beta, gamma and/or theta activity being increased, resulting in facilitating reduction of task-irrelevant auditory perception, such as the auditory perception of noise or tinnitus, and thereby also increasing the listener's ability to understand speech under adverse listening conditions. The present disclosure further suggests using the listener's measured alpha, beta, gamma and/or theta activity to judge if the listener is ready to understand speech, and if this is not the case to delay a speech signal until a sufficiently high activity is present.

Provided herein is a technique for effectively and quantitatively evaluating the symptom improving effect of a treatment given to a subject (patient). The invention provides a technique for diagnosing, evaluating, monitoring, and predicting drug efficacy in individuals (patients) with possible mental disorders such as ADHD, autism, and depression. Specifically, patient's data are simultaneously analyzed using several variables, such as biological measurements (e.g., brain activity measurements) and cognitive performance assessments, involving, for example, a patient (dependent variable), a medication type and dose (independent variables), a diagnosis profile score (DSM) and a rating scale (manifest variables), and an efficacy index (a predictor variable of a future treatment).

Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base.

A system for controlling a body part includes a number of sensing devices that sense signals from a hemisphere of a brain. A signal translating unit translates the signals into a command signal for controlling the body part, which is on a same side of the body as the hemisphere of the brain. A prosthetic device receives the command signal from the signal translating unit and manipulates the body part in response to the command signal.

A method and apparatus using brainwaves to control real objects is provided. The method and apparatus comprise using sensors to detect the brain's electrical signals and transmit at least two brainwaves to an apparatus that converts the brainwaves into a format usable by a signal processor. The signal processor determines a coherence between portions of the brainwaves, typically in the frequency domain, and compares the coherence values, which change rapidly from moment to moment, to thresholds. Based on the comparison of the coherence value to the thresholds, which are adjusted over time based on feedback relating to success, a control signal is developed that can be sent to a real object to control 3 dimensional motion of the control object.

One aspect of the present disclosure relates to a system that can identify a focal area of abnormal brain interactions in a subject. Time series data can be received that corresponds to recordings from a plurality of regions in a brain of the subject during a resting period. Based on the time series data, an information inflow associated with each of the plurality of regions can be determined. The focal area of the abnormal brain interactions can be identified as one of the plurality of regions having a maximum information inflow.

A vehicular driving control system for performing vehicular driving control based on automated driving and/or driving assistance is provided. The vehicular driving control system includes a driver operation measuring instrument that measures driving operation of a driver, a user uneasiness degree measuring instrument that measures how large a degree of uneasiness of a user is, and a driving control apparatus. When it is determined that the user feels uneasy based on the user uneasiness degree, the driving control apparatus determines an uneasiness factor serving as a source of the uneasiness based on user property data in relation to a traveling situation of a vehicle. Based on the determined uneasiness factor, the driving control apparatus adjusts a control degree of the vehicular driving control, and changes the vehicular driving control so as to decrease the uneasiness of the user.