Abstract: An option which is considered to be desired by a user is determined by using an electroencephalogram interface (IF), and a determination error for the option is detected based on an electroencephalogram. If a determination error is detected, the option is corrected based on the electroencephalogram information which was used for the option determination. A correction apparatus to be incorporated in an electroencephalogram IF system is provided. The electroencephalogram IF system includes a biological signal measurement section, an analysis section for analyzing an event-related potential contained in an electroencephalogram signal of a user, an inference section for inferring an option desired by the user based on a result of analysis, and an output section for presenting the option inferred by the inference section to the user. The biological signal measurement section measures the electroencephalogram signal of the user based on a point of presenting the option to the user as a starting point.

Abstract: A system includes a sensor to detect a neuro-physiological state of a student, and a controller to provide a communication if the student is outside a desired neuro-physiological state consistent with a desired learning zone and to provide a lesson intensity control signal as a function of the provided communication and sensed neuro-physiological state.

Abstract: Methods and systems for modeling and displaying magnetic field intensities during Transcranial Magnetic Stimulation (TMS) are described, particularly methods and system for modeling and displaying TMS using overlapping magnetic fields to stimulate deep brain regions.

Abstract: A method for affecting balanced brain functioning with relational ambient sound is disclosed. During the process of balancing the brain's activity, an ambient sound is played for the subject to hear. The subject's brain develops a relationship between the process of bringing the brain to a balanced state and the ambient sound. As a result of this relationship, balanced brain functioning may then be affected by exposing the subject to that same ambient sound.

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: The described embodiments relate generally to methods, systems and devices for sleep stage determination using frontal electrodes. Certain embodiments relate to a system for sleep stage determination comprising a sensing unit and a processing unit. The sensing unit is positioned over a forehead area of a patient and has first, second and third electrodes for positioning at locations on or adjacent the forehead area for detecting electrical potentials of a human head. The processing unit is coupled to the sensing unit for receiving biological signals corresponding to the detected electrical potentials and processing the biological signals to determine a sleep stage of the patient. The processing of the biological signals is based on a plurality of rules.

Abstract: An apparatus, and related method, for determining one or more association variables is described. The apparatus includes at least one processor, at least one memory, and at least one program module. The program module is stored in the memory and is configurable to be executed by the processor. The program module includes instructions for determining a statistical relationship between one or more temporal onsets corresponding to one or more events and a pattern of occurrence of a compound variable. The compound variable corresponds at least to a pattern of occurrence of a first variable and a pattern of occurrence of a second variable. The determining includes contributions from presence and absence information in the pattern of occurrence of the compound variable.

Abstract: The human neural response is coupled with computer pattern analysis for robust single-event detection of significant non-stationary brain responses triggered upon occurrence of a task-relevant stimulus. Classifier performance is enhanced fusing together the outputs of multiple different classifiers albeit multiple spatial classifiers to extract a temporal pattern as the brain response evolves, time and frequency-based spatio-temporal classifiers, and/or EEG and pupillary classifiers.

Abstract: The present invention includes a system and method for computerized analysis of a patient's electroencephalogram (EEG) recorded by electrodes placed on the scalp, for the purpose of predicting patient response to medications and therapeutic agents commonly used in psychiatric practice. The prediction of the responses to medications (adverse, no effect, favorable outcome) is an important problem in the clinical practice of psychiatry. A growing number of therapeutic agents are available to the clinician but these agents generate variable responses when prescribed based solely on the patient's history and current symptoms. The present invention is used by physicians to improve patient outcome by selecting agents most likely to be effective for a given patient, using a standardized analysis of the digitized EEG and comparison of individual patient EEC data to a particular database of similar patients whose clinical outcome to pharmacotherapy is known.

Abstract: The distraction detection apparatus includes: an electroencephalogram detection section for detecting an electroencephalogram signal of a driver; an arousal level estimation section for retaining a first rule of mapping parameter values of an electroencephalogram signal to arousal levels, and estimating an arousal level based on the detected electroencephalogram signal and the first rule; an attention allocation estimation section for retaining a second rule of mapping parameter values of an electroencephalogram signal to attention allocations, and estimating an attention allocation based on the detected electroencephalogram signal and the second rule; a driver state estimation section for retaining a third rule of deriving an amount of attention from an arousal level and an attention allocation, estimating an amount of attention of the driver paid to driving based on the estimated arousal level and attention allocation and the third rule, and classifying a state of the driver into a normal state, a state of

Abstract: Certain examples provide a method of collecting and analyzing complex auditory brainstem response. The example method includes presenting at least one complex auditory stimulus to a subject and acquiring the subject's complex auditory brainstem response. The example method includes averaging complex auditory brainstem responses from the subject in at least one of a time domain and a frequency domain to form a collected response. The example method includes analyzing the collected response using a signal processor to process the collected response to provide a processed output and to adapt the response for comparison to the at least one complex auditory stimulus. The example method includes performing statistical computations on the processed output to generate visual and data feedback for a user.

Abstract: A neurofeedback training device and a method thereof are provided. The neurofeedback training device includes a processor, a monitor and a mu rhythm training interface. The processor receives and processes a signal relevant to a mu rhythm. The monitor is electronically connected to the processor, and the mu rhythm training interface is displayed on the monitor.

Abstract: An implantable seizure monitor can include at least one sensing electrode and an electronics module configured to detect, record and/or log neurological events. For example, the electronics module can be configured to detect brainwaves indicative of seizures, such as, for example, epileptic seizures, and to create a log indicating when such seizures occur. The implantable seizure monitor can include a cushioning member made of a soft material and configured to be implantable between the epidermis and cranium of a patient.

Abstract: A medical device may include a gas delivery apparatus, a patient interface, a connection system, and an electrical circuit. The gas delivery apparatus may be configured to deliver gas to a patient. The patient interface may be configured to interface with the patient to deliver gas communicated by the gas delivery apparatus to the patient. The connection system may be configured to communicate gas from the gas delivery apparatus to the patient interface. The electrical circuit may be configured to communicate electrical signals between the patient interface and the gas delivery apparatus, and may including one or more first electrical conductors at least partially integral with the patient interface and one or more second electrical conductors at least partially integral with the connection system.

Abstract: Method for assessing the susceptibility of a human individual suffering from a psychiatric or neurological disorder, in particular with depressed mood as a predominant feature, to neuromodulation treatment, in particular repetitive Transcranial Magnetic Stimulation (rTMS), the method comprising: a) Providing a dataset comprising electroencephalographic (EEG) activity and Event Related Potentials (ERP) data of said human individual; b) Assessing the susceptibility of said human individual to neuromodulation treatment based on said dataset.

Abstract: An EEG monitoring apparatus (2) adapted to be carried continuously by a person being monitored comprises means adapted for measuring at least one EEG signal from the person carrying the apparatus and a signal processing means for analysing said at least one EEG signal and adapted to identify or predict predetermined biological incidents in said person based on said analysis. The EEG monitoring apparatus (2) further comprises a decision means adapted to decide when information is to be presented to said person and a message selection means for selecting a voice message providing said person with information, as well as an acoustic transducer adapted for presenting the selected voice message to the person. The invention also provides a method for presenting voice messages.

Abstract: Systems and methods for the detection of pathological conditions in a brain analyze signal properties of the brain electrical activity recordings. The pathological conditions to be detected include the occurrence of a seizure event. The systems and methods calculate a seizure susceptibility index (SSI) for real time brain function monitoring and for a pre-screening process of seizure detection.

Abstract: Systems and methods for treating pain are described. Systems and methods for treating pain using video games, tilt tables and bio-sensors are described wherein the level of the video game is controlled by a computer based on the feedback from a patient. Corresponding systems are also disclosed.

Abstract: Certain embodiments relate to a method for determining a condition of a subject, including obtaining a signal, the signal including a plurality of determinable parameters. The method also includes determining at least two of the plurality of determinable parameters from the signal, to yield determined parameters. The method also includes applying a weighting factor to each of the determined parameters to yield weighted parameters, and combining the weighted parameters to determine a numeric value relating to the condition of the subject. Other embodiments are described and claimed.

Abstract: A method, apparatus, and system for treating patients suffering from movement disorders having the ability to determine one or more biomarkers indicative of a disease state. In some embodiments, the biomarker may be used as a closed-loop feedback signal to control the delivery of therapy (such as electrical stimulation or drug therapy), and which may also be used as an indication of therapy effectiveness. One embodiment uses electrodes placed in the brain to measure EEG or local field potential (LFP) signals, from which the one or more biomarkers may be determined.

Abstract: Disclosed are devices and methods for detecting, preventing, and/or treating neurological disorders. These devices and methods utilize electrical stimulation, and comprise a unique concentric ring electrode component. The disclosed methods involve the positioning of multiple electrodes on the scalp of a mammal; monitoring the mammal's brain electrical patterns to identify the onset of a neurological event; identifying the location of the brain electrical patterns indicative of neurological event; and applying transcutaneous or transcranial electrical stimulation to the location of the neurological event to beneficially modify brain electrical patterns.

Abstract: An electroencephalogram interface system includes a biological signal detection section for detecting an electroencephalogram signal from a user and a control section for distinguishing a component of an event-related potential and causing a device to operate based on the distinguished event-related potential. An activation apparatus activates the control section and an output section for presenting a visual stimulation which flickers with a predetermined frequency based on a signal from the activation apparatus. The activation apparatus includes: a frequency analysis section for analyzing a frequency component of the electroencephalogram signal and detecting an intensity corresponding to the predetermined frequency; and a determination section for comparing the detected intensity of the predetermined frequency and a predetermined threshold, and if the intensity of the predetermined frequency is equal to or greater than a predetermined threshold, activating the control section.

Abstract: A process for analysing an electroencephalogram signal representative of activity of a brain, including: i) generating coefficient data for a signal representation of a portion of the signal; ii) generating pole data representing positions of one or more poles on a complex plane, the positions being generated based on the coefficient data; and iii) generating, based on a mean position of the poles, brain state data representing functional state of the brain.

Abstract: A movement state of a patient is detected based on brain signals, such as an electroencephalogram (EEG) signal. In some examples, a brain signal within a dorsal-lateral prefrontal cortex of a brain of the patient indicative of prospective movement of the patient may be sensed in order to detect the movement state. The movement state may include the brain state that indicates the patient is intending on initiating movement, initiating movement, attempting to initiate movement or is actually moving. In some examples, upon detecting the movement state, a movement disorder therapy is delivered to the patient. In some examples, the therapy delivery is deactivated upon detecting the patient is no longer in a movement state or that the patient has successfully initiated movement. In addition, in some examples, the movement state detected based on the brain signals may be confirmed based on a signal from a motion sensor.

Abstract: A device and method for generating a representation of a subject's attention level. The device comprises means for measuring brain signals from the subject; means for extracting temporal features from the brain signals; means for classifying the extracted temporal features using a classifier to give a score x1; means for extracting spectral-spatial features from the brain signals; means for selecting spectral-spatial features containing discriminative information between concentration and non-concentration states from the set of extracted spectral-spatial features; means for classifying the selected spectral-spatial features using a classifier to give a score x2; means for combining the scores x1 and x2 to give a single score; and means for presenting said score to the subject.

Abstract: A saccadic motion detection system comprised of an optical system that focuses light reflected or emitted from the subject's eye onto an optical navigation chip, which connects to circuitry configured to convert analog light from the eye to digital representations motion of the eye, including saccadic eye movement and processes the information received thereby.

Abstract: Systems and methods for detecting and/or treating nervous system disorders, such as seizures. Certain embodiments of the invention relate generally to implantable medical devices (IMDs) adapted to detect and treat nervous system disorders in patients with an IMD. Certain embodiments of the invention include detection of seizures based upon comparisons of long-term and short-term representations of physiological signals. Other embodiments include prediction of seizure activity based upon analysis of physiological signal levels. An embodiment of the invention monitors the quality of physiological signals, and may be able to compensate for signals of low signal quality. A further embodiment of the invention includes detection of seizure activity following the delivery of therapy.

Abstract: A system and method for organization and analysis of complex and dynamically interactive time series is disclosed. One example comprises a processor based system for relational analysis of physiologic signals for providing early recognition of catastrophic and pathologic events such as pathophysiologic divergence. The processor is programmed to identify pathophysiologic divergence of at least one of first and second physiologic parameters in relationship to the other and to output an indication of the divergence. An object-based method of iterative relational processing waveform fragments in the time domain is described wherein each more complex waveform object inherits the characteristics of the waveform objects from which it is derived. The first physiologic parameter can be the amplitude and frequency of the variation in chest wall impedance or nasal pressure and the second parameter can be a measure or indication of the arterial oxygen saturation.

Abstract: An EEG control of devices using Sensory Evoked Potentials (SEPs) (e.g., visually-evoked potentials), is disclosed. In some embodiments, a system receives a plurality of EEG signal samples; generates a stimulus locked average signal using the plurality of EEG signal samples; and determines whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus.

Abstract: Disclosed is a method for improving cognitive function or for improving coordination of function across a patient's cortical regions. The method includes applying electrical stimulation to at least a portion of the patient's subcortical structures involved in the generation and control of generalized efference copy signals. Internally generated movement of the patient is then detected and, in response to such internally generated movement, application of electrical stimulation is controlled. The method of the present invention has a number of benefits, including increasing flexibility in identifying targets for stimulation, improving the probability of successfully treating brain injury, and permitting patient biofeedback and self-regulation.

Abstract: An implantable seizure monitor can include at least one sensing electrode and an electronics module configured to detect, record and/or log neurological events. For example, the electronics module can be configured to detect brainwaves indicative of seizures, such as, for example, epileptic seizures, and to create a log indicating when such seizures occur. The implantable seizure monitor can include a cushioning member made of a soft material and configured to be implantable between the epidermis and cranium of a patient.

Abstract: An implantable seizure monitor can include at least one sensing electrode and an electronics module configured to detect, record and/or log neurological events. For example, the electronics module can be configured to detect brainwaves indicative of seizures, such as, for example, epileptic seizures, and to create a log indicating when such seizures occur. The implantable seizure monitor can include a cushioning member made of a soft material and configured to be implantable between the epidermis and cranium of a patient.

Abstract: Systems and methods for treating autism spectrum disorders (ASD) and related dysfunctions are disclosed. A method in accordance with a particular embodiment includes determining that a patient suffers from an autistic disorder and, based at least in part on the determination, selecting a cortical signal delivery site. The method can further include implanting an electrode within the patient's skull and external to a cortical surface of the patient's brain, and treating the autistic disorder by applying electrical signals to the implanted electrode in conjunction administering an adjunctive therapy to the patient.

Abstract: Methods and systems for detecting neurological events and approximating a target detection rate are disclosed. A target detection rate may be identified for the neurological event. Electrographic signals incident on a neurological event detector may be monitored. Each signal may be compared to a threshold value for a parameter. As the threshold value varies, it has a predictable effect on a detection rate of the neurological event. A rate at which the electrographic signals exceed the threshold value may be measured and compared to the target detection rate. The threshold value may be adjusted to minimize the difference between the measured detection rate and the target detection rate.

Abstract: The present invention includes a method and device for warning of hypoglycaemic attacks, which is a big problem for especially diabetics, who are in insulin treatment. It is estimated that about 1 million people have a decreased quality of life as a result of hypoglycaemic attacks. The invention collects EEG signals from people, who must be supervised and analyses these in order to detect characteristic changes in the EEG signals, which occurs in advance of a hypoglycaemic attack. In a preferred embodiment the EEG signals are collected with subcutaneously placed electrodes and the signals are lead via wires drawn under the person's skin to a similar subcutaneously placed signal processing unit. The signal processing analyses 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 build into the signal processing unit, e.g. in form of a vibrator.

Abstract: An assortment of algorithms, procedures and associated device-hardware to condition human mind on causality between a specific state of mind and an externally generated stimuli, including a procedure to collect (310) bio signals underlying specific mental moods, characterize (330) them, monitor (350,360) bio signal activity to detect such moods, and play mind games that enhance mind's flexing power with the help of said device. Invention also includes a method (340) to evaluate and engineer mantras that serve as said externally generated stimuli.

Abstract: Various embodiments of a biological interface system and related methods are disclosed. The biological interface system may comprise a sensor comprising a plurality of electrodes for detecting multicellular signals emanating from one or more living cells of a patient, a processing unit configured to receive the multicellular signals from the sensor and process the multicellular signals to produce a processed signal, and a signal gate configured to receive the processed signal from the processing unit and an alternative signal generated by the system, the signal gate being configured to transmit a control signal to a controlled device based on either the processed signal or the alternative signal. A monitoring unit may receive system data and process the system data to produce a system status signal. The system status signal may be used to determine which of the processed signal and the alternative signal is to be used as the control signal.

Abstract: A haptic signal distribution system capable of distributing haptic synchronous signals includes a master haptic device and groups of slave haptic devices. In one embodiment, the master haptic device is configured to distribute haptic synchronous signals to slave haptic devices. The haptic synchronous signals, for instance, may include information relating to a tempo for a piece of music. A haptic signal distribution system, for example, allows a master wearable haptic device to selectively distribute haptic synchronous signals to one or more groups of slave wearable haptic devices via a wireless communications network. Upon receipt of the haptic synchronous signals, each slave wearable haptic device generates a series of haptic feedback having a rhythm of beats in response to the haptic synchronous signals.

Abstract: The present invention relates to systems and methods for controlling neural prosthetic devices and electrophysiological recording equipment, and for using the same in clinical operation. Various embodiments of the invention are directed to an algorithm for autonomously isolating and maintaining neural action potential recordings. The algorithm may be used in connection with a neural interface microdrive capable of positioning electrodes to record signals from active neurons.

Abstract: Apparatus, systems, and methods may operate to collect neuro data from an organ, such as a brain. Spikes may be detected using raw neuro data collected from the organ. The spikes may be sorted. Underlying neuronal firing rates may be estimated using the sorted spikes. The neuronal firing rates may be transmitted outside the organ for real time decoding.

Abstract: Described here are implantable devices and methods for monitoring physiological information relating to sleep. The implantable devices are generally designed to include at least one sensor for sensing physiological information, a processor for processing the physiological information using low computational power to detect a sleep stage, and a battery. The detected sleep stage information may then be used to indicate sleep quality, identify or monitor a medical condition, or guide treatment thereof.

Abstract: Systems and methods for detecting and/or treating nervous system disorders, such as seizures, are disclosed. Certain embodiments of the invention relate generally to implantable medical devices (IMDs) adapted to detect and treat nervous system disorders in patients with an IMD. Certain embodiments of the invention include detection of seizures based upon comparisons of long-term and short-term representations of physiological signals. Other embodiments include prediction of seizure activity based upon analysis of physiological signal levels. An embodiment of the invention monitors the quality of physiological signals, and may be able to compensate for signals of low signal quality. A further embodiment of the invention includes detection of seizure activity following the delivery of therapy.

Abstract: An apparatus, and related method, for determining one or more association variables is described. The apparatus includes at least one processor, at least one memory, and at least one program module stored in the memory configured to be executed by the processor. The program module includes instructions for selecting a subset of temporal onsets in a set of temporal onsets, instructions for determining a statistical relationship between the subset of temporal onsets and a pattern of occurrence of a variable, and instructions for identifying the variable as a migraine variable in accordance with the statistical relationship. The subset of temporal onsets includes one or more onsets corresponding to one or more migraines experienced by at least one individual, and the set of temporal onsets includes the subset of temporal onsets and one or more temporal onsets corresponding to one or more additional headaches experienced by at least the one individual.

Abstract: The invention relates to a method and apparatus for assessing the reactivity observable in a certain physiological signal, especially the EEG signal, of a comatose subject. In order to obtain an objective and a reliable measure of the reactivity automatically and without the presence of a trained EEG specialist, a time reference corresponding to a stimulus is detected and the physiological signal data obtained from the subject is aligned with the time reference. Two sets of values are determined for a measure indicative of the amount of irregularity in the physiological signal data, both sets including at least one value of the said measure and having defined positions with respect to the time reference in time domain. Based on the two sets, the apparatus determines whether reactivity is present in the physiological signal data.

Abstract: The dominant brain wave frequencies of a patient are measured by an electroencephalogram (EEG) with a plurality of leads over the head and scalp. In a process for low energy neuro-feedback, the therapeutically beneficial low power RF field is sequentially applied via the same at a different frequency, which is generally offset from the dominant frequency by 5 to 20 Hz. The order of applying these low power stimuli to the different leads is optimized based on the activity observed at each lead and its variation over time. Leads positions having a greater Coefficient of Variation are treated first.

Abstract: A system and method for a biological interface system that processes multicellular signals of a patient and controls one or more devices is disclosed. The system includes a sensor that detects the multicellular signals and a processing unit for producing the control signal based on the multicellular signals. The system further includes an automated configuration routine that is used to set or modify the value of one or more system configuration parameters.

Abstract: Methods for treating and/or collecting information regarding neurological disorders, including language disorders, are disclosed. A method in accordance with one embodiment directing a patient to perform a language-based task, directing information to be collected, with the information corresponding to a level of neural activity in the patient's brain while the patient performs the language-based task, and, based at least in part on the information, selecting a stimulation site within the patient's skull for receiving an electrode coupleable to an electrical current. In further embodiments, at least one electrode can be placed at the stimulation site, and the patient's language disorder can be reduced by applying electrical stimulation directly to the stimulation site via the at least one electrode.

Abstract: A method of training a subject to improve anticipatory timing includes presenting the subject with multiple sequences of stimuli, receiving sensor signals associated with responses by the subject to the stimuli, and recording response times in accordance with the sensor signals, wherein the recorded response times are associated with the responses by the subject to the multiple sequences of stimuli, and wherein the response times have an associated distribution. The method further includes analyzing the distribution of response times for the subject to determine variability in anticipatory timing of the subject with respect to the stimuli, and generating a subject feedback signal corresponding to a result of the analyzing so as to train the subject to improve anticipatory timing of the subject.

Abstract: Systems and methods of monitoring a subject's neurological condition are provided. In some embodiments, the method includes the steps of analyzing a physiological signal (such as an EEG) from a subject to determine if the subject is in a contra-ictal condition; and if the subject is in a contra-ictal condition, providing an indication (e.g., to the subject and/or to a caregiver) that the subject is in the contra-ictal condition. The systems and methods may utilize a minimally invasive, leadless device to monitor the subject's condition. In some embodiments, if the subject is in a pro-ictal condition, the method includes the step of providing an indication (such as a red light) that the subject is in the pro-ictal condition.

Abstract: A system for analyzing signals representative of a subject's brain activity in a signal processor for information indicating the subject's current activity state and for detecting or predicting a change in the activity state. One preferred embodiment uses a method for estimating the Hurst parameter to perform real-time analysis of the electroencephalogram (EEG) or electrocorticogram (ECoG) signals from a subject patient for information indicative of or predictive of a seizure, and to complete the needed analysis at least before clinical seizure onset. The preferred system then performs an output task for prevention or abatement of the seizure, or for recording pertinent data.