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.

Technologies for filtering biosignals include one or more biosignal sensors coupled to a user to receive biosignals and a computing device to receive biosignals from the biosignal sensors. The biosignal sensors filter the received biosignals to identify abnormal biosignals using a plurality of domain filters including a time domain filter and a frequency domain filter. The biosignals identified as abnormal by each of the domain filters are transmitted to the computing device, while the remaining biosignals are discarded.

A learning system includes an output unit that outputs a first problem and a display message prompting a user to take a break, an acquisition unit that acquires an answer to the first problem from the user, an electroencephalogram measurement unit that measures an electroencephalogram of the user, and a control unit. The control unit determines whether first motivation is present on the basis of a first event-related potential included in the electroencephalogram and starting from a timing at which the first problem is output, determines whether second motivation of the user is present on the basis of a second event-related potential included in the electroencephalogram and starting from a timing at which the answer is acquired, and instructs the output unit to output a display message prompting the user to take a break if the first motivation is not present and the second motivations is not present.

A two part patient monitoring device includes an activator module and a sensor device. The activator module includes a non-galvanic data port that creates a communication path with a non-galvanic data port on the sensor device. The activator module includes power contact pads that are each at least partially surrounded by a bias ring. A bias voltage is applied to the bias rings and a processor or circuit in the activator module monitors the voltage on the bias ring to detect a leakage current. The sensor module includes power contact pins that engage the power contact pads to transfer power from the activator module to the sensor device. Each of the contact pins are surrounded by a seal member such that the connection between the power contact pins and the power contact pads is protected from debris and/or moisture.

A method (100) is implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained (102) that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects (104), from among multiple pre-defined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists (106) the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

Described is a system for training and assessment. In operation, the system classifies a subject's baseline brain state and behavioral performance. Training goals are assessed to specify tasks the subject is to perform and a desired level of performance. The subject is subjected to neurological stimulation while the subject performs specified tasks. Behavioral data is assessed to determine if the subject has achieved the training goals. If the subject has achieved the training goals, the system stops. Alternatively, if the individual has not achieved the training goals, then neurological data is reviewed to identify activation states and values of the neurological stimulation that resulted in increased performance values from the baseline behavioral performance. The activation states and values of the neurological stimulation are adjusted to match those that resulted in increased performance values. The process is repeated until the subject has achieved the training goals.

Described is a system for the therapeutic modification of human behavior and, more specifically, a system for the transcranial control of procedural memory reconsolidation for the purposes of enhanced skill acquisition. During operation the system records a practice pattern. The practice pattern is a recording of a sensed brain activity from a sensor array when a subject is performing a skill. The practice pattern is converted to brain activity voxels and stored as both an uncompressed practice pattern and a compressed practice pattern.

Disclosed are methods for detecting pain in a subject, such as a mammal (e.g., a human), using brain activity, e.g., as determined by electroencephalography. The methods are useful for treating or reducing the likelihood of pain in a subject by determining power amplitude from the power spectral density of the waveforms and, e.g., administering a therapeutic agent to the subject. The methods disclosed herein may also be utilized to screen for a therapeutic agent that decreases power amplitude using a non-human animal subject. The methods also feature the stimulation of thalamic reticular nucleus of a subject to treat or reduce pain.

The present invention is directed to systems and methods for monitoring characteristics of a subject. A system according to an exemplary embodiment of the invention includes a sensor subsystem including at least one respiratory sensor disposed proximate to the subject and configured to detect a respiratory characteristic of the subject, wherein the sensor subsystem is configured to generate and transmit at least one respiratory signal representing the respiratory characteristic, and at least one physiological sensor disposed proximate to the subject and configured to detect a physiological characteristic of the subject, wherein the sensor subsystem is configured to generate and transmit at least one physiological signal representing the physiological characteristic, and a processor subsystem in communication with the sensor subsystem, the processor subsystem being configured to receive at least one of the at least one respiratory signal and the at least one physiological signal.

A heart monitoring system for a person includes one or more wireless nodes; and wearable appliance in communication with the one or more wireless nodes, the appliance monitoring vital signs.