A brain machine interface system for use with an electroencephalogram to identify a behavioral intent of a person is disclosed. The system includes an electroencephalogram configured to sense electromagnetic signals generated by a brain of a person. The electromagnetic signals include a time component and a frequency component. A monitor monitors a response of the person to a stimulus and a characteristic of the stimulus. A synchronization module synchronizes the sensed electromagnetic signals with the response and the characteristic to determine a set of electromagnetic signals corresponding to the monitored response and the characteristic. A processor processes the set of electromagnetic signals and extracts feature vectors. The feature vectors define a class of behavioral intent. The processor determines the behavioral intent of the person based on the feature vectors. A brain machine interface and a method for identifying a behavioral intent of a person is also disclosed.

A brain machine interface system for use with an electroencephalogram to identify a behavioral intent of a person is disclosed. The system includes an electroencephalogram configured to sense electromagnetic signals generated by a brain of a person. The electromagnetic signals include a time component and a frequency component. A monitor monitors a response of the person to a stimulus and a characteristic of the stimulus. A synchronization module synchronizes the sensed electromagnetic signals with the response and the characteristic to determine a set of electromagnetic signals corresponding to the monitored response and the characteristic. A processor processes the set of electromagnetic signals and extracts feature vectors. The feature vectors define a class of behavioral intent. The processor determines the behavioral intent of the person based on the feature vectors. A brain machine interface and a method for identifying a behavioral intent of a person is also disclosed.

A device for examining a pathological interaction between different brain areas, including a stimulation unit, which administers identical stimuli to a patient in a sequential manner, wherein the stimuli stimulate neurons of the patient in the brain areas to be examined, a measuring unit for recording measurement signals that represent a neural activity of the stimulated neurons, and a control and analysis unit for controlling the stimulation unit and for analyzing the measurement signals. The control and analysis unit transforms the measurement signals into the complex plane, examines the distribution of the phases of stimuli of the measurement signals absorbed by the measuring unit in response to the stimuli delivered to the patient, and determines the probability, with which the phase distribution differs from a uniform distribution, in order to ascertain whether a pathological interaction between the brain areas exists.

Disclosed is an audio-headset for acquisition of a bio-signal from a subject, including a first earpiece; a second earpiece; an arch connecting the first earpiece and the second earpiece; the arch including a hub (4); wherein the arch, the first earpiece and the second earpiece are configured so that the earpieces are placed over a subject's ears when the audio headset is worn by the subject; and at least one posterior branch (1) having a first end extending from the hub and a second free end; the at least one posterior branch (1) including a concave surface with a radius of curvature, a collapsed state when the headset is not worn by the subject and an expanded state when the headset is worn by the subject.

A computer device is provided that includes a display device, and a sensor system configured to be mounted adjacent to a user's head and to measure an electrical potential near one or more electrodes of the sensor system. The computer device further includes a processor configured to present a periodic motion-based visual stimulus having a changing motion that is frequency-modulated for a target frequency or code-modulated for a target code, detect changes in the electrical potential via the one or more electrodes, identify a corresponding visual evoked potential feature in the detected changes in electrical potential that corresponds to the periodic motion-based visual stimulus, and recognize a user input to the computing device based on identifying the corresponding visual evoked potential feature.

A computer device is provided that includes a display device, and a sensor system configured to be mounted adjacent to a user's head and to measure an electrical potential near one or more electrodes of the sensor system. The computer device further includes a processor configured to present a periodic motion-based visual stimulus having a changing motion that is frequency-modulated for a target frequency or code-modulated for a target code, detect changes in the electrical potential via the one or more electrodes, identify a corresponding visual evoked potential feature in the detected changes in electrical potential that corresponds to the periodic motion-based visual stimulus, and recognize a user input to the computing device based on identifying the corresponding visual evoked potential feature.

Provided are a highly confidential personal authentication device which uses brain waves, a personal authentication method, and a personal authentication system and program. The authentication device using brain waves is provided with: an electroencephalograph; and a processing unit which, with respect to brain waves with respect to a plurality of stimulus events obtained by the electroencephalograph, determines a discrimination score according to a discrimination model for estimating brain information for each authentication candidate accumulated in advance, based on a discrimination-model-to-discrimination-model comparison of the discrimination score, identifies and authenticates an authentication candidate who provided the model. The identifying of the authentication candidate based on the discrimination score in the processing unit is based on the discrimination score and/or decoding accuracy determined from the discrimination score.

In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

Electrodes for use in electroencephalographic recording, including consciousness and seizure monitoring applications, have novel features that speed, facilitate or enforce proper placement of the electrodes, including aligning tabs and arrowed aligning juts, color coding, and an insulating bridge between reference and ground electrodes which ensures a safe application distance between the conductive regions of the two electrodes in the event of cardiac defibrillation or to prevent shorting between the adjacent electrodes by preventing the conductive path to be shared. A method of using a set of four such electrodes is also disclosed.