A method for detection of an evoked response signal in noise including: generating a plurality of stimuli; receiving a noisy signal related to an evoked response to the plurality of stimuli; divide the noisy signal into a plurality of responses to the plurality of stimuli; estimate a statistic matrix for the plurality of responses; shrink the statistic matrix; calculate weights based on an inverse of the shrunk statistic matrix; apply weights to the plurality of responses to construct a final response; and output the final response. An apparatus having an input device configured to receive data related to a plurality of stimuli; and a processor configured to: receive a noisy signal and divide the noisy signal into a plurality of responses; estimate a statistic matrix; shrink the statistic matrix; calculate weights based on an inverse of the shrunk statistic matrix; and apply weights to the plurality of responses to construct a final response.

An evoked potential measuring apparatus includes: an evoked potential acquiring section which is configured to acquire a plurality of evoked potential waveforms from a subject in response to stimulation; an average processing section which is configured to arithmetically average the plurality of evoked potential waveforms to acquire an average waveform; a first statistical value calculator which, each time a waveform set including an N (N is 2 or more) number of evoked potential waveforms is acquired, is configured to calculate a first statistical value of the waveform set; and an updation processing section which is configured to update the average waveform to eliminate a waveform set in which the first statistical value exceeds a first threshold, from the arithmetic average.

The system of the present invention includes at least one brain signal capturing device, at least one memory device for storing software instructions, and at least one processor. The processor is in communication with the brain signal capturing device and executes the instructions stored on the memory. The instructions include the steps of analyzing a user's brain signal patterns and searching based on the user's brain signals.

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 brain mapping system includes a brain signal acquisition device for collecting brain signals corresponding to different locations of the brain, a stimulator for generating a stimulus based upon a pseudorandom sequence, and a processor for segmenting the brain signals into a plurality of epochs and correlating features extracted from the epochs with the pseudorandom sequence to generate correlation functions, wherein a brain map is constructed by the correlation functions.

A method for identifying and treating a neural pathway associated with chronic pain via nerve stimulation and brain wave monitoring of a mammalian brain includes positioning a probe to stimulate a target nerve, wherein the target nerve is suspected of being a source of chronic pain; delivering a first nerve stimulation from the probe to the target nerve, wherein the first nerve stimulation is sufficient to elicit a chronic pain response in the brain; and monitoring for evoked potential activity in the brain as a result of the first nerve stimulation. The method can also include delivering second and third nerve stimulations to confirm the correct identification of the neural pathway and to treat the chronic pain, respectively. A system and apparatus for performing a procedure to identify and treat a nerve that is the source of chronic pain are also described.

A method and system for extracting important signal information is disclosed. The method examines a group of signals obtained from testing of a patient's nervous system and finds a signal area of interest. Once a cluster of signals that all have the area of interest is found—the system concludes that the area of interest is located and validated. Signals that are not within the cluster are rejected and the signals within the cluster are signal-averaged to yield a signal-averaged waveform. The signal averaged waveform represents the results of the test.

Transcranial magnetic stimulation (TMS) is a remarkable tool for probing the brain. However, it is still unclear why specific regions in the cortex are excitable by TMS while others are not. This invention provides methods and tools for the design of efficient magnetic stimulators. Such stimulators can excite neuronal networks that were not sensitive to stimulation until now. Stimulation can be carried out both in-vitro and in-vivo. Novel systems and techniques of this invention will enable both treatment and diagnostics by stimulating regions of the brain or neuronal assemblies that were previously unaffected by TMS.

This invention, which focuses on personality and aptitude matching by psychophysiologic response to stimuli, is referred to as Brain Matching. In general terms, this invention starts by selecting highly specialized skill sets and top performer group for each skill set. The various groups are analyzed though psychophysiologic stimuli testing by using basically the same testing consisting of large numbers stimuli tests in a consistent testing environment. Stimuli tests can range from hundreds to thousands of images each producing a brainwave response. Neural Networks, Artificial Intelligence, Deep Learning computers look at the test results, highly specialized group by other highly specialized group to reduce the groups signature/response commonality into a template. Test subjects are then tested using the same stimuli. The subject's test results are analyzed for correlation with the various specialized expert groups.

In some examples, a technique may include outputting information associated with a notification. The notification may be associated with a notification attribute. The technique may further include determining, by a computing device, that a user has perceived the information associated with the notification; and receiving, by the computing device, an indication of at least one physiological parameter representative of a reaction of the user to the information associated with the notification. In some examples, the technique also includes, responsive to receiving the indication of the at least one physiological parameter representative of the reaction of the user to the information associated with the notification, controlling, by the computing device, at least one notification configuration setting related to outputting information associated with other notifications associated with the notification attribute.