396 results about "Eeg electroencephalography" patented technology

A patient module comprising an 8 channel EEG pre-amplifier whose signal acquisition and processing characteristics are optimized for use in the operating room and intensive care unit. This patient module comprises at least an optimized multistage input filter, an optimized input stage circuit topography, ultra-isolation, oversampling, a multiplexer inter-sample charge dump, and high performance low-frequency-enhanced shielding.

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. The disclosed methods may be useful in the detection, prevention, and / or treatment of a variety of indications, such as epilepsy, Parkinson's Disease, Huntington's disease, Alzheimer's disease, depression, bipolar disorder, phobia, schizophrenia, multiple personality disorder, migraine or headache, concussion, attention deficit hyperactivity disorder, eating disorder, substance abuse, and anxiety. The disclosed methods may also be used in combination with other peripheral stimulation techniques.

A system (10) analyzes signals representative of a subject's brain activity in a signal processor (12) for information indicating the subject's current activity state and for predicting a change in the activity state. One preferred embodiment uses a combination of nonlinear filtering methods to perform real-time analysis of the electro-encephalogram (EEG) or electro-corticogram (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.

A portable, integrated physiological monitoring system is described for use in clinical outpatient environments. This systems consists of a plethora of sensors and auxiliary devices, an electronics unit (100) that interfaces to the sensors and devices, and a portable personal computer (102). Electrodes (106) are provided to acquisition electrocardiographic, electroencephalographic, and neuromuscular signals. Electrodes (108) are provided to stimulate neural and muscular tissue. A finger pulse oximeter (110), an M-mode ultrasonic transducer (112), an airflow sensor (114), a temperature probe (120), a patient event switch (116), and an electronic stethoscope (118) are provided. A portable personal computer (102) interfaces to the electronics unit (100) via a standard parallel printer port interface (258) to allow communication of commands and information to / from the electronics unit (100). Control and display of the information gathered from the electronics unit (100) is accomplished via an application program executing on the portable personal computer (102). Sharing of common data acquisition hardware along with preliminary processing of information gathered is accomplished within the electronics unit (100). The entire system is battery operated and portable. This system, because of its architecture, offers significant cost advantages as well as unique modes of operation that cannot be achieved from the individual physiological parameter measurement devices alone. The system allows for the integration of acquisitioned information from the sensors into a patient's database stored on the portable personal computer.

Disclosed is a system and method of assessing the efficacy of treatment of neurological or psychological disorders. The preferred embodiment uses at least two surface electrodes to acquire EEG signals from the surface of a patient's body, a processor for computing from the EEG signals various features and indices that are representative of the patient's neurological or psychological state. Changes in these parameters may be used to assess the efficacy of treatment and to modify the treatment to optimize the resultant patient state.

A method and system for utilizing neurophysiologic information obtained by techniques such as quantitative electroencephalography (QEEG), electrode recordings, MRI in appropriately matching patients with therapeutic entities is disclosed. The present invention enables utilization of neurophysiologic information, notwithstanding its weak correlation with extant diagnostic schemes for mental disorders, for safer and expeditious treatment for mental disorders, discovering new applications for therapeutic entities, improved testing of candidate therapeutic entities, inferring the presence or absence of a desirable response to a treatment, and deducing the mode of action of one or more therapeutic entities. In particular, methods for effectively comparing neurophysiologic information relative to a reference set are disclosed along with database-based tools for deducing therapeutic entity actions on particular patients such that these tools are readily accessible to remote users.

A neuro-informatics repository system is provided to allow efficient generation, management, and access to central nervous system, autonomic nervous system, effector data, and behavioral data obtained from subjects exposed to stimulus material. Data collected using multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), Event Related Potential (ERP), surveys, etc., is stored using a variety of data models to allow efficient querying, report generation, analysis and / or visualization.

With explosive penetration of portable electronic devices (PEDs) recent focus into consumer EEG devices has been to bring advantages including localized wireless interfacing, portability, and a low-cost high-performance electronics platform to host the processing algorithms to bear. However, most development continues to focus on brain-controlled video games which are nearly identical to those created for earlier, more stationary consumer EEG devices and personal EEG is treated as of a novelty or toy. According to embodiments of the invention the inventors have established new technologies and solutions that address these limitations within the prior art and provide benefits including, but not limited to, global acquisition and storage of acquired EEG data and processed EEG data, development interfaces for expansion and re-analysis of acquired EEG data, integration to other non-EEG derived user data, and long-term user wearability.

A system performs program and commercial response monitoring using neuro-response data such as central nervous system, autonomic nervous system, and effector data. Multiple subjects in multiple markets are exposed to programming and commercials and neuro-response data is collected using mechanisms such as Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Data collected is provided for response integration to measure and track multi-market program and commercial response to stimulus materials.

The EEG Processing Unit comprises a semi-rigid framework which substantially conforms to the Patient's head and supports a set of electrodes in predetermined loci on the Patient's head to ensure proper electrode placement. The EEG Processing Unit includes automated connectivity determination apparatus which can use pressure-sensitive electrode placement ensuring proper contact with Patient's scalp and also automatically verifies electrode placement via measurements of electrode impedance through automated impedance checking. Voltages generated by the electrodes are amplified and filtered before being transmitted to an analysis platform, which can be a Physician's laptop computer system, either wirelessly or via a set of tethering wires. The EEG Processing Unit includes an automatic artifacting capability which identifies when there is sufficient clean data compiled in the testing session. This process automatically eliminates muscle- or other physical-artifact-related voltages. Clean data, which represents real brain voltages as opposed to muscle- or physical-artifact-related voltages, thereby are produced.

A system evaluates and selects temporal and spatial locations for introduction of stimulus material. Video streams, physical locations, print advertisements, store shelves, images, commercials, etc. are analyzed to identify locations for introducing stimulus material, such as messages, brand images, products, media, marketing and / or other sales materials. The system analyzes neuro-response measurements from subjects exposed to stimulus material in different temporal and spatial locations. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. Neuro-response measurements are analyzed to select temporal and spatial locations for introduction of stimulus material.

Embodiments include methods and apparatus for determining whether a neurological event has occurred in a subject. An apparatus includes at least one sensor adapted to sense electroencephalogram signals from the subject. The apparatus also includes an electroencephalogram acquisition module adapted to receive the electroencephalogram signals from at least one sensor, and a processing and analysis module adapted to receive signals from the electroencephalogram acquisition module and determine changes in neurological function using entropy analysis.

A system assesses consumer experience by evaluating neuro-response measurements for a consumer exposed to products, services, offerings, and stimulus. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. Components of a consumer experience are analyzed to assess neuro-response measurements specific to each component. In many instances, neuro-response data is combined with other data and analyzed to determine total consumer experience.

A system performs entity and relationship assessment and extraction using neuro-response data such as central nervous system, autonomic nervous system, and effector data. Subjects are exposed to stimulus material and neuro-response data is collected using mechanisms such as Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Data collected is provided to assess and extract entity and relationship formation among individuals, groups, or objects in marketing, advertising, entertainment, and other stimuli.

Neuro-response data including Electroencephalography (EEG), Functional Magnetic Resonance Imaging (fMRI) is filtered, analyzed, and combined to evaluate the effectiveness of stimulus materials such as marketing and entertainment materials. A data collection mechanism including multiple modalities such as, Electroencephalography (EEG), Functional Magnetic Resonance Imaging (fMRI), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data and removes cross-modality interference.

A system assesses consumer experience portrayal effectiveness by evaluating neuro-response measurements for a consumer directly experiencing stimulus and / or indirectly experiencing stimulus through observation of another. Neuro-response measurements are collected using multiple modalities to evaluate personal and observed experiences of products, services, offerings, and stimulus. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. In many instances, neuro-response data is combined with other data and analyzed to assess total consumer experience portrayal effectiveness.

An electroencephalography (EEG) system includes a dry electrode design having a jagged, angular, comb, etc. shaped support housing. Each dry electrode housing includes multiple electrodes where each electrode has multiple contacts for scalp placement with minimal interference from hair. Signals from individual contacts may be disregarded and each housing may provide one or more aggregated signals for data analysis. Each electrode may be placed in close proximity with neighboring electrodes as no conductive gel is required and may be attached to the scalp using straps, elastic cap, spring-type materials, tape, etc. The dry electrode design effectively measures bio-signals including neurological activity.

Central nervous system, autonomic nervous system, and effector data is measured and analyzed to determine the effectiveness of marketing and entertainment stimuli. A data collection mechanism including multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data. The response data is enhanced using intra-modality response synthesis and / or a cross-modality response synthesis.

The method for simultaneously and concurrently identifying and quantifying a wide variety of types of facial electromyographic (EMG) and eye movement electrooculargraphic (EOG) activity, which naturally contaminate electroencephalographic (EEG) waveforms in order to significantly improve the accuracy of the calculation in real-time of the amplitude and / or coherence of any brainwave activity for any chosen frequency bandwidth for any number of electrode placements. This multi-level, widely or universally applicable, pre-defined pattern recognition artifact detection and correction system provides a method for enhancing EEG biofeedback training by detecting and eliminating any brief, contaminated epoch of EEG activity from being included in the calculation and analysis of the EEG signal. The method and apparatus disclosed herein make it possible to provide without any interruption visual, auditory and / or tactile feedback of a “true” EEG signal that through operant conditioning learning principles enables individuals to more quickly and easily learn to control their brainwave activity using neurofeedback.

A system determines neuro-response stimulus and stimulus attribute resonance. Stimulus material and stimulus material attributes such as communication, concept, experience, message, images, audio, pricing, and packaging are evaluated using neuro-response data collected with mechanisms such as Event Related Potential (ERP), Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Neuro-response data is analyzed to determine stimulus and stimulus attribute resonance.

<heading lvl="0">Abstract of Disclosure< / heading> Apparatus utilizing electrical activity of the brain to control a series of low-stimuli educational exercises displayed on a computer monitor to increase the following educational components: time on-task, visual tracking, short-term memory, visual discriminatory processing, auditory discriminatory processing, and focus. The exercises are governed by real-time analysis of the focus and processing states of the user. Specific relative exercise performance data are collected and recorded from the use of each of the educational components to demonstrate improvement over time of the user in each of the sited educational components.

Efficient and effective mechanisms for collecting electroencephalography (EEG) data are provided to synchronize neuro-response data collection with stimulus material presentation for in situ engagement monitoring and tracking. An EEG headset includes multiple point electrodes individually isolated and amplified. In some examples, a stimulus material presentation mechanism includes a clock source and a clock transmitter. The clock transmitter sends clock signals to a neuro-response data collection mechanism to allow synchronization of neuro-response data collected with stimulus presentation events. The EEG headset can be configured to perform processing while supporting both continuous input and output.

A system presents stimulus materials such as products, product packages, displays, services, offerings, etc., in virtual reality environments such as market aisles, store shelves, showroom floors, etc. Sensory experiences output to the user via the virtual reality environment elicit user interactivity. User activity and responses are used to modify marketing materials and / or virtual reality environments. Neuro-response data including electroencephalography (EEG) data is collected from users in order to evaluate the effectiveness of marketing materials in virtual reality environments. In particular examples, neuro-response data is used to modify marketing materials and virtual reality environments presented to the user.

Described are methods, devices, and systems for a novel, inexpensive, easy to use therapy for a number of disorders. Described are methods and devices to treat disorders that involves no medication. Methods and devices described herein use alternating magnetic fields to gently “tune” the brain and affect mood, focus, and cognition of subjects.

A nicotine delivery reduction system includes an electronic cigarette having a breath monitor and a flow controller. The breath monitor detects user breath characteristics such as breath duration, rate, depth, and strength and adjusts the amount of nicotine delivered to the user based on user breath characteristics. In particular examples, if the user is breathing with more urgency, additional nicotine is delivered to the user. The nicotine delivery reduction system also includes an interface to allow implementation of different reduction programs based on personal preferences and characteristics. If the user is breathing normally, the flow controller gradually reduces the level of nicotine delivered to the user. The nicotine delivery reduction system maintains user breath characteristics over time to allow reduction and possible elimination of nicotine dependence. Neuro-response data including electroencephalography (EEG) can be obtained and analyzed to determine the effectiveness of a nicotine reduction program.