Abstract: A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.

Abstract: In some examples, a processor is configured determine whether efficacy of therapy delivered by a medical device to the patient may have changed and generate a notification based on the determination. For example, a processor may be configured to determine whether a bioelectrical brain signal indicative of activity of a brain of a patient includes a biomarker that indicates efficacy of therapy delivered by a medical device to the patient may have changed, and generate notification based on determining the bioelectrical brain signal includes the biomarker. In some examples, the processor modifies the therapy delivered to the patient prior to generating the notification.

Abstract: Apparatus for providing an interface between a nerve and an external information system. The apparatus includes a substrate having a first surface, an opposite second surface, and an electrode body, wherein the electrode body includes a plurality of holes extending therethrough. The apparatus also includes a plurality of electrical leads embedded within the substrate and a plurality of ring electrodes, wherein each of the ring electrodes circumscribes a corresponding hole, and wherein at least a portion of the ring electrodes is positioned on each of the first surface and the second surface.

Abstract: Artificial control of a prosthetic device is provided. A brain machine interface contains a mapping of neural signals and corresponding intention estimating kinematics (e.g. positions and velocities) of a limb trajectory. The prosthetic device is controlled by the brain machine interface. During the control of the prosthetic device, a modified brain machine interface is developed by modifying the vectors of the velocities defined in the brain machine interface. The modified brain machine interface includes a new mapping of the neural signals and the intention estimating kinematics that can now be used to control the prosthetic device using recorded neural brain signals from a user of the prosthetic device. In one example, the intention estimating kinematics of the original and modified brain machine interface includes a Kalman filter modeling velocities as intentions and positions as feedback.

Abstract: Systems, methods, and apparatus for neuro-robotic tracking point selection are disclosed. A described example robot control system includes a feature and image presenter, a classifier, a visual-servo controller, and a robot interface. The feature and image presenter is to display an image of an object, emphasize one of more potential trackable features of the object, receive a selection of the emphasized feature, and determine an offset from the selected feature as a goal. The classifier is to classify a mental response to the emphasized features, and to determine that the mental response corresponds to the selection of one of the emphasized features. The visual-servo controller is to track the emphasized feature corresponding to an identified brain signal. The robot interface is to generate control information to effect a robot action based on the emphasized feature, the visual-servo controller to track the emphasized feature while the robot action is being effected.

Abstract: A method for activating an operational mode change of a device. The method includes flashing at least one indicator, wherein each of the at least one indicator flashes at a particular initial frequency. The method also includes receiving electroencephalograph (EEG) data from an EEG device of a user. The method further includes recognizing a portion of the received EEG data to substantially match activation EEG data, wherein the activation EEG data corresponds to predicted or recorded EEG data of the user in observance of one of the at least one indicator flashing at the particular initial frequency. The method additionally includes activating an operational mode change for providing power to a display upon recognizing the portion of the received EEG data to substantially match the activation EEG data.

Abstract: Disclosed are methods and systems for non-invasive neuromodulation using ultrasound for cognitive enhancement. Cognitive enhancement can be used for mitigation of abnormal conditions such as Alzheimer's Disease, Parkinson's Disease or stroke, or for enhancement in a normal individual. The neuromodulation can produce acute or long-term effects. The latter occur through Long-Term Depression (LTD) and Long-Term Potentiation (LTP) via training. Included is control of direction of the energy emission, intensity, frequency, pulse duration, pulse pattern, mechanical perturbation, and phase/intensity relationships to targeting and accomplishing up regulation and/or down regulation.

Abstract: A polymer linear actuator for a micro electro mechanical system (MEMS) and a micro manipulator for a measurement device of cranial nerve signal using the same are provided. The polymer linear actuator has first and second bodies positioned spaced apart to a distance from each other, and one or more pairs of V-type moving units connecting the first and second bodies together, wherein the moving units in pair are opposed to each other to convert a rotation motion of the respective moving units into a linear motion, thereby causing the first and second bodies to move linearly.

Abstract: Prosthetic devices, methods and systems are disclosed. Eye position and/or neural activity of a primate are recorded and combined. The combination signal is compared with a predetermined signal. The result of the comparison step is used to actuate the prosthetic device.

Abstract: The invention relates to processing of physiological signal data in patient monitoring. In order to alleviate the problems caused by suppression waveforms in the analysis of physiological signal data, measurement data is derived from a segment of the time series of physiological signal data and valid measurement data is collected from the derived measurement data, thereby to form a set of valid measurement data. The collecting includes selecting measurement data that fulfills at least one predetermined threshold condition. Furthermore, at least a portion of the set of valid measurement data is supplied to a further processing stage when the amount of collected measurement data in the set is at least at a predetermined level. The deriving and collecting may be repeated for consecutive segments of the time series, in which case the supplying is performed for at least some of the consecutive segments of the time series.

Abstract: A medical device system for comparing a cardiopulmonary signal to a brain signal. In one embodiment of the invention, a medical device system is provided that includes a brain monitoring element, respiratory monitoring element and a processor. The processor is configured to receive a brain signal from the brain monitoring element and a respiratory signal from the respiratory monitoring element. The processor is further configured to compare the brain signal to the respiratory signal. Methods of comparing a brain signal to a cardiopulmonary signal are also provided.

Abstract: A training apparatus 1000 using a method of decoding nerve activity includes: a brain activity detecting device 108 for detecting brain activity at a prescribed area within a brain of a subject; and an output device 130 for presenting neurofeedback information (presentation information) to the subject. A processing device 102 decodes a pattern of cranial nerve activity, generates a reward value based on a degree of similarity of the decoded pattern with respect to a target activation pattern obtained in advance for the event as the object of training, and generates presentation information corresponding to the reward value.

Abstract: Analog electrical and pressure data obtained by an EEG/pressure sensor matrix from the subject are sent to a signal processing module that derives digital EEG data from the electrical signal and pressure data without using sensors attached to a subject's head. The pressure data are used as a secondary signal to measure the physical orientation of the subject's head. The physical orientation is used to transform the derived EEG signal to a known coordinate axis (the orientation of the subject's head) to obtain useful, consistent, and accurate EEG data. The EEG may be used to determine a sleep state of a subject and to awaken the subject while in a particular state.

Abstract: A neurofeedback system for providing neurofeedback to at least one patient. The neurofeedback system includes: EEG head sensors; a central server to store treatment protocol algorithm(s) provided via the Internet; and a data collection module associated with a computer-based device. The data collection module: transmits the EEG brain activity to the central server via the Internet by way of the computer-based device; provides feedback to the patient; and receives a treatment protocol from the central server via the Internet by way of the computer-based device.

Abstract: An embodiment of the invention provides a neural probe containing a plurality of nanoscale recording electrodes. The recording electrodes have a width of 1 micron or less and a distance between adjacent recording electrodes is 10 microns or less. Another embodiment of the invention provides a neural probe comprising a plurality of microfabricated recording electrodes located on a polymer base material, such as a flexible polymer cantilever.

Abstract: Mobile clinicians conduct in-home patient visits utilizing on-site diagnostic and treatment equipment, where service is enhanced by the use of portable computing and communications equipment. A mobile care entity provides mobile clinicians preprogrammed portable computers. Each portable computer updates patient data in the local storage utilizing a wireless communications device to download updates from a central storage facility. The entity selects a mobile clinician and dispatches him/her to the patient's premises. The clinician visits the patient's premises accompanied by an assortment of electronic diagnostic and treatment devices. The mobile clinician utilizes various diagnostic devices to prepare machine-readable reports of related aspects of the patient's condition.

Abstract: A medical device system that includes a brain monitoring element, cardiac monitoring element and a processor. The processor is configured to receive a brain signal from the brain monitoring element and a cardiac signal from the cardiac monitoring element. The processor is further configured to compare the brain signal to the cardiac signal. A method of comparing a brain signal to a cardiac signal is also provided.

Abstract: A system and method are presented for use in monitoring brain activity of a subject. The system comprises a control unit which comprises: a data input utility for receiving measured data comprising data corresponding to signals measured during a certain time period and being indicative of a subject's brain activity originated from locations in the subject's brain during said certain time period, and a processor utility which is configured and operable for processing the measured data and generating data indicative thereof in the form of a multi-parameter function presenting a relation between frequency and time data of the measured signals and for analyzing said relation and identifying a subject-related signature corresponding to the subject's brain neural activity.

Abstract: The invention provides a body-worn vital sign monitor that measures a patient's vital signs (e.g. blood pressure, SpO2, heart rate, respiratory rate, and temperature) while simultaneously characterizing their activity state (e.g. resting, walking, convulsing, falling) and posture (upright, supine). The monitor processes this information to minimize corruption of the vital signs and associated alarms/alerts by motion-related artifacts. It also features a graphical user interface (GUI) rendered on a touchpanel display that facilitates a number of features to simplify and improve patient monitoring and safety in both the hospital and home.

Abstract: An EEG cap (8) having 64 or 128 electrodes (10) is placed on the head of the subject (11) who is viewing CRT monitor (14). The signals on each channel are amplified by amplifier (17) and sent to an analog-to-digital converter (20). PC (23) captures and records the amplified signals and the signals are processed by signal processing PC (26) performing linear signal processing. The resulting signal is sent back to a feedback/display PC (29) having monitor (14).

Abstract: A wearable device and a managing device to manage a status of a user, the wearable device including a brainwave measuring sensor to measure a brainwave of the user, an environment information sensor to sense surrounding environment information, a vibrator to generate vibrations, a display device to display a message, a communicator to transmit sensed values of the brainwave measuring sensor and the environment information sensor to an external device and to receive a control signal from the external device, and a controller to control operations of the vibrator and the display device based on at least one of the sensed value of the brainwave measuring sensor, the sensed value of the environment sensor, and the control signal. Therefore, safety of the user is maintained even when the use is in a dangerous situation.

Abstract: The present invention relates to methods and devices for determining the state of a neural system. In one embodiment, a plurality of stimuli to the system can be delivered to the system, and then the resulting respective responses can be analyzed to determine whether the system state is static, or whether it is undergoing dynamic changes. In another aspect of the invention, a single stimulus having a plurality of components can be administered, and the responses to each component can be contrasted and compared to determine the state of the neural system. In each case, this information can be used to predict the occurrence of neural perturbations or episodes associated with a change in the state of the neural system.

Abstract: A system and method of central auditory processing testing and evaluation provides for identifying clinically relevant neural synchrony in the auditory brainstem pathway. The system or method finds use as a tool to evaluate auditory processing disorders, and hence, potential auditory system and/or learning disabilities. The system or method may further find use in the selection and fitting of hearing corrective appliances such as hearing aid or cochlear implant devices and/or in the selection and implementation of auditory training regimens.

Abstract: A method, device, and computer program product for monitoring the physiological state of a subject is disclosed. A first plurality of physiological signals are acquired from the subject and a second plurality of signal parameters are determined based on the first plurality of physiological signals. Relevant signal information is selected from among the signal information produced and at least one screen page is displayed at a time, thereby to make at least part of the signal information visible to a user. The signal information visible to the user on the at least one screen page may then be revised based on the selection and without user interaction, thereby to accelerate clinical decision-making and to diminish the possibility of undetected changes in the state of the subject.

Abstract: A cognitive management method and system that monitors and manipulates a response signal from a neurological organ to optimize cognitive performance and behavioral management of the neurological organ. The method allows a user to transmit a stimulus signal such as optical or auditory to the organ and receive a return signal in response. A sensor, such as EEG electrodes detects the response signal. The response signal generated by the neurological organ is then detected by the sensor and transmitted to data storage. The signal can be reconfigured and retransmitted to a display device. The signal includes Hertz and real time frequencies. The signal includes a signal parameter with a high range and a low range. An alert actuates when the signal exceeds the parameter. The signal is monitored by the user and invited followers to analyze and treat cognitive performance and behavior.

Abstract: A portable EEG (electroencephalograph) instrument, especially for use in emergencies and brain assessments in physicians' offices, detects and amplifies brain waves and converts then into digital data for analysis by comparison with data from normal groups. In one embodiment, the EEG electrodes are in a headband which broadcasts the data, by radio or cellular phone, to a local receiver for re-transmission and/or analysis. In another embodiment, the subject is stimulated in two modes, i.e., aural and sensory, at two different frequencies to provide the subject's EPs (Evoked Potentials), assessing transmission through the brainstem and thalamus.

Abstract: Disclosed herein is a wake-up assisting apparatus including: an electrode which comes into contact with the parietal of the human body; a signal processing part which detects brain waves through the electrode, determines the sleep stage from the thus detected brain waves, and decides the wake-up time according to the sleep stage; and a stimulating part which gives stimuli to the human body at the wake-up time.

Abstract: A method of maintaining an information rate of a Brain-computer interface (BCI) system, implanted in a patient's brain, by regulating arousal level in the patient's brain is disclosed. The method includes selecting a patient with the implanted BCI device configured to receive neuronal activity from one or more electrodes connected to the patient's brain and to establish a communication channel between the patient and an external device controlled by the patient. Accordingly, a rate of information passage through the communication channel from the BCI device is measured, and a region of the patient's brain involved in arousal regulation, is stimulated in response to said measuring, under conditions effective to adjust the rate of information passing from the BCI device through the communication channel. A computer medium for carrying out this method and a BCI Arousal Regulation system are also disclosed.

Abstract: A device for ambulatory monitoring of brain activity includes a patch secured to a head of a monitoring subject and an electrode secured to the head of the monitoring subject. The electrode produces a signal indicating brain activity of the monitoring subject. The device further includes a signal processor that receives the signal produced by the electrode and processes the signal to produce data. The signal processor is secured to the monitoring subject. The device further includes a display that displays the data produced by the signal processor, the display being secured to the monitoring subject. The device also includes a power source secured to the monitoring subject, the power source providing power to the electrode, the signal processor, and the display wherein the monitoring subject may ambulate unimpeded by the patch, the electrode, the signal processor, the display and the power source.

Abstract: Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination.

Abstract: An electroencephalogram signal processing method includes a recording step, a retrieving step, a removing step and a synthesizing step. The recording step retrieves EEG signal components of a testee via a plurality of electrodes, wherein the EEG signal components serve as an input signal. The retrieving step filters the input signal to obtain a predetermined frequency band signal, and subtracts the predetermined frequency band signal from the input signal to obtain a difference signal. The removing step performs an independent component analysis operation between the difference signal and a separating matrix to obtain an analysis signal, generates a separating pseudo inverse and an independent analysis signal, and performs a matrix operation between the separating pseudo inverse and the independent analysis signal to obtain a corrected signal. The synthesizing step adds the corrected signal and the predetermined frequency band signal together to obtain an output signal.

Abstract: Improved methods and apparatus for sharing and collaborating around a video source by maintaining and providing to users a list of a plurality of contacts containing both video source device contacts and interactive message source contacts. This allows for collaboration among users by permitting them to communicate with each other around an automatically-shared video source, to interact with automatically shared video sources, and to make decisions based on these shared video sources.

Abstract: In an exemplary implementation of this invention, a user wears comfortable biosensors. These sensors gather physiological data from the user and transmit this data to another radio-enabled device. This other device may be a mobile phone. The data is further transmitted, via this other radio-enabled device, to one or more networks (such as wireless networks or the Internet). A processor analyzes this transmitted data, in real time, to recognize patterns in the data that indicate the need for therapeutic intervention. Upon recognition of such a pattern, the processor outputs instructions for a transducer to deliver therapeutic stimuli. These instructions are transmitted, over one or more wired or wireless networks, to a transducer which delivers the therapeutic stimuli to the user.

Abstract: An EEG monitoring device, contains at least one electrode, a non-linear analog signal processor, a variable resolution analog-to-digital converter, a storage, and a power source. The non-linear analog signal processor receives a signal from the at least one electrode and determines whether the signal is within a significant category. The variable resolution analog-to-digital converter converts signals received from the non-linear analog signal processor into high-resolution digital signals if the signals are within the significant category, and converts signals received from the non-linear analog signal processor at a low resolution if the signals are not within the significant category. The storage stores high-resolution digital signals received from the variable resolution analog-to-digital converter and the power source is connected to, and provides power to, the non-linear analog signal processor, the variable resolution analog-to-digital converter, and the storage.

Abstract: A system for detecting a neurological deterioration in a patient, the system constituted of: an analyzing module; and at least one input port arranged to receive a plurality of first samples of electroencephalographic (EEG) activity of the patient and a plurality of second samples of EEG activity of the patient and further arranged to output the received samples to the analyzing module, wherein the analyzing module is arranged to: compare a function of the received first EEG samples to a function of the received second EEG samples; determine the difference between the outcome of the comparison and a baseline value; and output a neurological deterioration signal responsive to the determined difference.

Abstract: Disclosed are apparatus and methods that provide the ability to electrical stimulate a physical system, and actively eliminate interference with signal acquisition (artifacts) that arises from the stimulation. The technique implemented in the circuits and methods for eliminating interference connects a discharge path to a physical interface to the system to remove charge that is built-up during stimulation. By placing the discharge path in a feedback loop that includes a recording preamplifier and AC-coupling circuitry, the physical interface is brought back to its pre-stimulation offset voltage. The disclosed apparatus and methods may be used with piezoelectric transducers, ultrasound devices, optical diodes, and polarizable and non-polarizable electrodes. The disclosed apparatus can be employed in implantable devices, in vitro or in vivo setups with vertebrate and invertebrate neural tissue, muscle fibers, pancreatic islet cells, osteoblasts, osteoclasts, bacteria, algae, fungi, protists, and plants.

Abstract: A muscle-activity diagnosis apparatus includes: an acquiring section acquiring a myoelectric signal from a test subject; using the myoelectric signal as an original signal, a transformed-signal generating section generating a transformed signal by performing Hilbert transformation and inverse Fourier transformation on the original signal; a phase-velocity calculation section calculating a phase velocity of the myoelectric signal on the basis of phases of the original signal and the transformed signal; and on the basis of a plurality of feature quantities of a waveform of the myoelectric signal in a unit time and the plurality of feature quantities including at least a size of amplitude of the myoelectric signal and the calculated phase velocity, a state-identifying section identifying an activity state of a muscle of a predetermined part of a body of the test subject for each of the unit time.

Abstract: A method and device for warning diabetics of imminent hypoglycaemic attacks. EEG signals are collected from a person using subcutaneously placed electrodes and the signals are led via wires drawn under the person's skin to a subcutaneously placed signal interface unit from where they are transmitted to an externally worn signal processing unit. The signal processing analyzes the EEG signals and when the pre-seizure characteristics signal changes are detected, a warning signal is given to the person from an alarm giver built into the signal processing unit, e.g., in form of a vibrator. When a person detects a warning signal, the person can prevent the hypoglycaemic attack by, e.g., consuming a sugary food.

Abstract: An electroencephalogram (EEG) utilizing epileptiform activity detection, warning and recording system adapted for use by non-healthcare professionals or healthcare professionals. The system is simple enough for use by untrained personnel and will be self-contained, not requiring technical setup or point of use maintenance. The system includes a small number of passive or active scalp electrodes for capturing the electrical signals in the subject's brain allowing for detection of epileptiform activity. The system will recognize epileptiform activity and will either transmit signals upon detection of epileptiform activity to either a localized warning device or to a cellular or radio receiving device. The system will note epileptiform activity in a recording component and allow for review of the epileptiform data to allow non-clinical and clinical personnel to verify such activity.

Abstract: A method is provided for taking electrical impedance tomography measurements using multiple electrodes located at selected positions external to a volume of a subject body. Multiple orthogonal or near-orthogonal signals are introduced simultaneously by way of selected different electrodes and resultant predetermined responses (if any) at receiving electrodes are recorded or determined. The signals are encoded using the technique of code division multiplexing and received signals at each receiving electrode are cross-correlated with original signals to determine the contribution of each original signal to a composite received signal. The invention also relates to apparatus suitable for use in applying a method.

Abstract: A first apparatus applies magnetic field pulses to a subject, a second apparatus records electric signals of the subject, wherein the electric signals are received as analog signals from the subject while the magnetic field pulses are being applied to the subject. The first apparatus has a generating unit for generating the magnetic field pulses, a first clock generator for generating a first clock, and a first control unit for triggering generation of the magnetic field pulses by the generating unit with a fixed repetition rate based on the first clock. The second apparatus has an analog-to-digital conversion unit for converting the analog signals to corresponding digital signals by sampling each of the analog signals with a sampling rate, a second clock generator for generating a second clock, and a second control unit for causing the analog-to-digital conversion unit to set the sampling rate based on the second clock. A synchronizing unit synchronizes the second clock with the first clock.

Abstract: The auditory event-related potential measurement system includes: a size determination section for determining a size of a region within a video to be presented to a user so that the region has a viewing angle between diagonal corners in a range greater than 2 degrees and smaller than 14 degrees; a video output section for presenting to the user a video including a region of the size determined by the size determination section; an auditory stimulation output section for presenting an auditory stimulation to the user during a period in which the video is being presented to the user; a biological signal measurement section for measuring an electroencephalogram signal of the user; and an electroencephalogram processing section for acquiring an event-related potential from the electroencephalogram signal as reckoned from a point in time at which the auditory stimulation is presented.

Abstract: Artifacts are removed from EEG signals by segmenting EEG data that are continuously recorded during an MR scan with respect to a time period based on the MR scan, thereby obtaining n temporally consecutive segments of EEG data. For each segment j of the n segments, it is determined whether movement is detected when the segment j is recorded. In the case of no movement, the segment j is selected for a template k. In case movement is detected, EEG data of segments of the n temporally consecutive segments which have been selected for the template k are averaged, thereby obtaining the template k, the template k is subtracted from the EEG data of the segments, k is incremented, and the segment j is selected for the template k.

Abstract: A method and system for instructing a user behavior change comprising: collecting a first and a second bioelectrical signal dataset; generating an analysis based upon the first and the second bioelectrical signal datasets; and providing a behavior change suggestion to the user based upon the analysis. The method can further comprise collecting a third bioelectrical signal dataset associated with a performance of an action by the user in response to the behavior change suggestion; generating an adherence metric based upon the third bioelectrical signal dataset and at least one of the first and the second bioelectrical signal datasets; providing a stimulus configured to prompt an action by the user; and providing at least one of the analysis and an analysis based upon the adherence metric to the user. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.

Abstract: A system for accessing the brain of a subject to record and/or stimulate brain stares thereof. The system includes control means, first accessing means having a plurality of contact surfaces configured to operatively connect the control means to the brain of the subject to provide three-dimensional stimulation thereof; second accessing means having a plurality of contact surfaces to operatively connect the control means to the brain of the subject to provide access thereto for the purposes of obtaining three-dimensional recordings of the brain electrical activity of the subject; and a waveform bank containing a plurality of stimulating waveforms.

Abstract: The BrainAvatar of the present invention is a combination of hardware, software and data communications devices used to implement and integrate a full featured electroencephalogram (EEG) based neurofeedback training system. The BrainAvatar is a single platform for blending EEG, Live Z-score Training (LZT), MINI-Q, whole head QEEG, mapping and all types of neurofeedback. Patient evaluation, assessment and training can now be done in a single integrated system that supports industry standards.

Abstract: Apparatus and method support a neurological event screening for a medical device. The medical device assists a user in determining a configuration of the medical device for delivering an effective treatment for a nervous system disorder. The medical device detects a neurological event, such as a seizure, and reports a neurological event focus location and a neurological event spread to the user. The user may use the information to provide a configuration of a therapeutic delivery unit and associated therapy parameters. Therapeutic treatment is delivered to the patient, and the medical device is provided an indication of the patient's acceptance to the treatment. The user may modify the configuration and therapy parameters in order to achieve efficacy and acceptance. Depending upon the patient's acceptance, therapy is applied in either an open loop mode or a closed loop mode. The medical device determines whether the treatment is successful in accordance with a criterion.

Abstract: A method for acquiring a physiological response from a test subject, particularly an auditory brainstem response, by presenting a plurality of stimuli, such as a Maximum Length Sequence, detecting electrophysiological signals in response to the stimuli, generating a recover signal based on the stimuli and determining the physiological response from the electrophysiological signals and the recovery signal.

Abstract: Applications for detecting binaural sounds and customizing binaural sounds for users. A system is disclosed having: an interface for obtaining a plurality of desired responses; a system for generating a binaural recipe, wherein the binaural recipe includes left side audio signals and right side audio signals for inducing the plurality of responses; and an output system for playing the left side audio signals and right side audio signals. A further system is disclosed for detecting binaural sounds, including: an input system for obtaining a left side audio signal and a right side audio signal within an environment; a binaural sound detector for evaluating the left side audio signal and the right side audio signal to determine whether a binaural sound is present; and an alarm system for generating an alert when the binaural sound is detected.

Abstract: A device comprises an indicating unit configured to indicate information and a connecting unit configured to connect the indicating unit to an electrode operable to sense an EEG signal, such that the information is indicated at a position at which the electrode is placed. The electrode includes a circuit board and an indicating unit, such as an LED, encased in a water-proof housing.