136 results about "Eeg electrodes" patented technology

A flexible, conformable, sensor assembly is provided, including an electrode array especially adapted for stable, long-term recording of EEG signals from a pre-term or neonatal infant in intensive care. A kit or sterile pack includes guidance for placement of the electrodes over a designated area of the infant's brain, an area likely to be injured. The sensor assembly includes a left-side and a right-side flexible strip bearing at least electrodes and optional temperature, motion, and optical sensors provide for the monitoring of an extended range of parameters including aspects of cerebral perfusion and metabolism. Optional impedance measurements provide an indication of neuronal swelling. Stable performance over from three days to about a week is intended so that progress, effects of treatment, and outcome can be considered.

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.

The present invention provides systems and methods for monitoring subjects, especially during sleep. Respiratory and sound data are recorded and coughs arousal are recognized as joint events in both of these signals having selected characteristics. Further, cough-arousal events during sleep are recognized when a likely cough occurs in association with a recognized EEG arousal. Cough arousal events are combined into a cough arousal index that reflects disease severity and sleep disruption due to cough. The methods of this invention are computer-implemented and can be provided as a program product including a computer readable medium. Measurements and indices provided by this invention can be used to monitor and to treat respiratory diseases.

Methods and devices are provided for monitoring and manipulating a person's brainwaves to achieve a desired mental state. A method of improving a student's test-taking ability includes analyzing EEG data to determine a student's focus level during an exam and providing a suggestion to the student for improving the student's focus level. A method of manipulating brain activity includes measuring a listener's brainwave frequency and providing binaural beats to the listener to guide the listener to a desired mental state. The binaural beats may be incorporated into music in such a way that they may not be distinguished over the music. A portable apparatus includes EEG electrodes connected to earphones with malleable wire that facilitates preferential placement and stability on a user's scalp.

Biometric identification methods and apparatuses (including devices and systems) for uniquely identifying one an individual based on wearable garments including a plurality of sensors, including but not limited to sensors having multiple sensing modalities (e.g., movement, respiratory movements, heart rate, ECG, EEG, etc.).

A brain therapy system and method using noninvasive brain stimulation, comprising:a stimuli generator unit for generating a stimuli presentation program;a sensor assembly comprising a plurality of active EEG electrodes for measuring the electrophysiological activity of a patient's brain subjected to said stimuli presentation program;a data acquisition unit in communication with the sensor assembly for retrieving patient EEG signals;a data processing unit in communication with the data acquisition unit for:analyzing the patient EEG signals to obtain patient EEG data, andcomparing the patient EEG data against a normalized EEG pattern retrieved from a standardized database;selecting a stimulation protocol in dependence of said comparison;a brain stimulation unit for applying the selected stimulation protocol on the active EEG electrodes.

The present invention describes a method and apparatus to localize the electrical signals measured from a subject's scalp surface, preferably in near-real time, and to generate dynamic three-dimensional information of the electrical activity occurring within the cerebral cortex of the brain. In the preferred embodiment, it can produce images that can be immediately inspected and analyzed by an operator in near-real time, resulting in a powerful new cortical imaging modality, which we denote as Dynamic Electrocortical Imaging (DECI). The present invention involves the use of a computer, an electroencephalographic (EEG) amplifier, EEG electrodes, and custom software. It can measure healthy and diseased cortical events and states in both conscious and unconscious subjects. This is useful, as it allows for the diagnosis, monitoring and treatment of cortical disorders, while also furthering the understanding of the human brain and lending use to additional non-medical applications such as in entertainment, education, lie-detection and industry. The invention in one embodiment is implemented using software in conjunction with readily available EEG hardware. Furthermore, this same method can be applied to pre-existing data and when doing so, EEG hardware is not required. Having a practical near-real time 3D imaging system brings a far more accessible technology to doctors, researchers, individuals, and private clinics to better diagnose, monitor, treat and understand many of the conditions and abnormalities of the brain.

A measurement device is presented for use in an EEG measurement performed in the presence of a magnetic field. The device comprises a wiring array for connecting an electrodes arrangement to an electroencephalogram (EEG) monitoring device. The wiring array comprises a plurality of sampling lines arranged to form a first group of sampling lines arranged in a spaced-apart substantially parallel relationship extending along a first axis, at least some of said sampling lines being wire bundles of said first group comprising a plurality of first wires for connecting to a corresponding first plurality of electrodes of said EEG electrodes arrangement; and a second group of sampling lines arranged in a spaced-apart substantially parallel relationship extending along a second axis, intersecting with said first axis, such that said second group of bundles crosses said first group of bundles to form a net structure, at least some of said sampling lines being wire bundles of said second group comprising a plurality of second wires for connecting to a corresponding second plurality of electrodes of said EEG electrodes' arrangement. The wiring array is configured and operable for transmitting a signal measured by the respective electrodes to the EEG monitoring device, enabling generation of EEG data indicative of the neural signal profile along tow directions and characterized by reduced motion artifact and / or reduced gradient artifact associated with the presence of the magnetic field during the EEG measurement.

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 valid signal model is constructed for an EEG signal obtained from the subject. A time reference corresponding to a stimulus is applied and further signal data is obtained from the time series, the further signal data being subsequent to the time reference. By employing the further signal data, the method tests whether the signal model remains to be a valid signal model for the EEG signal also after the stimulus, and indicates, based on the test, whether reactivity is present in the physiological signal.

A portable EEG (electroencephalograph) instrument, especially for use in emergencies and brain assessments in physicians' offices, detects and amplifies brain waves and converts them 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.

A method and system for combining active and passive neuromonitoring methods to measure biopotential signals in sedated ICU patients over the entire range of sedation from fully alert to the suppression of EEG. The system utilizes an integrated sensor that includes a sound generator and a plurality of EEG electrodes on a single, lightweight disposable component. The method of the present invention utilizes a control unit for switching between active and passive monitoring methods, depending upon the level of sedation. The control unit displays the results of active monitoring during levels of consciousness and light sedation and displays the results of passive monitoring during levels of deep sedation.

The present invention provides a method and device for determining depressive disorders or other mental disorders related to similar brain imbalances when the combination of powers of specific frequency bands in quantitative EEG has a certain positive or negative value. The present invention performs a signal-processing task to resting EEG recording, calculates the power of two specific frequency bands, finds the combination of the powers and evaluates the result. The method can be used as quick and easy noninvasive tool for diagnosing depression related problems in different patients as separate algorithm, as a part of an EEG recording and analysis device and as a separate device.

The invention relates to a mechanism for determining the depth of sleep of a subject. In order to obtain information about the continuum of the depth of sleep in a user-friendly way without a need for high computational power, EEG signal data is obtained from a subject, REM sleep periods of the subject are detected, and a measure indicative of irregularity in the EEG signal data is derived. Based on the measure and the detected REM sleep periods, a sleep depth index and state information are produced, where the index is indicative of the depth of sleep of the subject and the state information indicates whether or not the EEG signal data is obtained during a REM sleep period. The detection of the REM periods may be based on a bioimpedance measured from EEG electrodes simultaneously with the EEG measurement or on EOG signal data measured from the subject.

A reusable appliance for acquisition from a patient of EEG signals comprising a micro-miniature, micro-power, low noise multi-channel data-acquisition system powered by a fiber optic illuminator and photovoltaic cell thus eliminating the need for inductively coupled power converters. The appliance also uses disposable EEG electrodes which are similar in size and very low cost.

A hearing assistance system comprises an input unit for providing electric input sound signals u i , each representing sound signals U; from a multitude n u of sound sources S i , an electroencephalography (EEG) system for recording activity of the auditory system of the user's brain and providing a multitude ny of EEG signals yj , and a source selection processing unit receiving said electric input sound signals ui and said EEG signals yj , and in dependence thereof configured to provide a source selection signal Sx indicative of the sound source Sx that the user currently pays attention to using a selective algorithm that determines a sparse model to select the most relevant EEG electrodes and time intervals based on minimizing a cost function measuring the correlation between the individual sound sources and the EEG signals, and to determine the source selection signal Sx based on the cost functions obtained for said multitude of sound sources.

The invention discloses a multi-modal epilepsy diagnosis system based on video analysis. The system comprises a network switch, a camera, a network hard disk video recorder, a desktop computer and multi-modal monitoring analysis module and EEG (Electroencephalogram) checking equipment, wherein the multi-modal monitoring analysis module comprises a video analysis submodule, an EED analysis submodule and an intelligent management submodule; the video analysis submodule comprises an action detection unit and an action identification unit; the EEG analysis submodule comprises a feature extractionunit and a feature classification unit; and the intelligent management submodule comprises a video storage unit, an evidence taking unit and an alarm unit. The diagnosis method comprises the followingsteps that: the EEG checking equipment sends the detected EEG to the multi-modal monitoring analysis module; the camera shoots patient video information and sends the patient video information to thedesktop computer and multi-modal monitoring analysis module; the multi-modal monitoring analysis module establishes a judgment model and analyzes the video.

The present invention describes a method and apparatus to localize the electrical signals measured from a subject's scalp surface, preferably in near-real time, and to generate dynamic three-dimensional information of the electrical activity occurring within the cerebral cortex of the brain. In the preferred embodiment, it can produce images that can be immediately inspected and analyzed by an operator in near-real time, resulting in a powerful new cortical imaging modality, which we denote as Dynamic Electrocortical Imaging (DECI). The present invention involves the use of a computer, an electroencephalographic (EEG) amplifier, EEG electrodes, and custom software. It can measure healthy and diseased cortical events and states in both conscious and unconscious subjects. This is useful, as it allows for the diagnosis, monitoring and treatment of cortical disorders, while also furthering the understanding of the human brain and lending use to additional non-medical applications such as in entertainment, education, lie-detection and industry. The invention in one embodiment is implemented using software in conjunction with readily available EEG hardware. Furthermore, this same method can be applied to pre-existing data and when doing so, EEG hardware is not required. Having a practical near-real time 3D imaging system brings a far more accessible technology to doctors, researchers, individuals, and private clinics to better diagnose, monitor, treat and understand many of the conditions and abnormalities of the brain.

The invention discloses a transcranial magnetic stimulation positioning cap, which comprises a shell body adapt to the shape of a human brain, wherein the shell body is correspondingly provided with marking portions used for making two cerebral hemispheres, four brain lobes, EEG electrode parts, a motor cortex functional area, earholes for capping positioning and occipito posterior tuberosity. The transcranial magnetic stimulation positioning cap and the marking method thereof are low in implementation costs, thus medical expenses of patients are reduced; and the operation is convenient, time and effort are saved, and utilization rate of the equipment is increased. Multi-part marking information in the positioning cap makes stimulation parts accurate, the positioning description and repetitive stimulation of the stimulation parts are facilitated in scientific research. The uncertainty of traditional stimulation positioning relying on visual observation and experience is eliminated, and function modulation and therapeutic effect of stimulation nerves can be improved.

The invention discloses a device for quantitative monitoring indicators of a patient with awareness during the general anesthesia operation, which comprises: an EEG signal surface electrode, a filter circuit, an EEG amplification circuit, a brain evoked potential amplifier, an analog-to-digital converter, a computer for calculating the brain 40Hz auditory evoked steady state response index and a sound stimulating circuit. Two brain evoked potential signals and an EEG signal curve which are generated by the computer are stored in a data cache; the sound stimulating circuit comprises: a 40Hz sound modulation circuit and a sound amplification circuit; the computer is synchronous with four sound stimulus, two brain evoked and EEG digital signals are obtained every 100ms and then the data cache is cleared. The device has the following advantages and positive effects: the 40Hz auditory steady state technology is different from other auditory evoked potentials, the major advantage thereof is that the rhythm of the stimulus is synchronous with the position of the wave peak of auditory middle latency, thus forming the resonance effect, improving the signal intensity and regularity, allowing the extraction of the evoked potential to be easier and strengthening the probability of the clinical practical application of the evoked potential technology.

The invention relates to an EEG acquisition support, and belongs to the technical field of dry-type EEG acquisition systems, which can solve the problem that the conventional EEG acquisition supportscannot ensure the stability of contact between EEG electrodes and a scalp in the prior art. The EEG acquisition support includes a pre-tensioning cover for holding a test part of an EEG test object, atop electrode base positioned on the top of the pre-tensioning cover, and circumferential electrode bases positioned on the periphery of the pre-tensioning cover; the pre-tensioning cover includes afirst elastic pre-tensioning ring and a plurality of suspension arms; the plurality of suspension arms are arranged in the radial direction of the pre-tensioning cover; the plurality of suspension rods are connected in series through the first elastic pre-tensioning ring; and one ends of the suspension rods are connected to an outer edge of the top electrode base, and the other ends of the suspension rods are connected to the circumferential electrode bases. The EEG acquisition support can be used for EEG acquisition.

A classification system of epileptic EEG signals based on non-linear dynamics features includes a preprocessing module, a feature extraction module, a feature sorting module, a feature selection module and a classification module: the preprocessing module uses discrete wavelet transformation to remove noise in the EEG data and obtain effective EEG signal data without noise; the feature extraction module uses multiple entropy algorithms to calculate the non-linear dynamics features of each EEG signal; the feature sorting module sorts features with analysis of variance; the feature selection module selects the optimal feature subset that has the most significant impact on the accuracy of the model uses a uses a forward sequential feature selection algorithm; the classification module transforms the judgment of EEG during the period of epilepsy and EEG during the interval period of epilepsy into a binary classification problem by use of a least squares support vector machine algorithm.

A device is presented for use in an EEG measurement performed in the presence of a magnetic field. The device includes a wiring array for connecting an electrodes arrangement to an electroencephalogram (EEG) monitoring device. The wiring array includes sampling lines arranged to form first and second groups of sampling lines, arranged in a spaced-apart substantially parallel relationship extending along first and second axes respectively, at least some of the sampling lines being wire bundles including a plurality of wires for connecting to a corresponding plurality of electrodes of the EEG electrodes arrangement; the first and second groups of sampling lines intersect with each other to form a net structure when placed on area of measurement. The wiring array thereby enable generation of EEG data characterized by reduced motion artifact and / or reduced gradient artifact associated with the presence of the magnetic field during the EEG measurement.

An electroencephalography (EEG) system includes a support configured to be positioned at least partially around the head of a user, an EEG electrode configured to be supported by the support and to be positioned for contacting skin of the user, an actuator operatively coupled to the EEG electrode and configured to move the electrode in at least two dimensions, including an axial dimension and a lateral dimension to enable the EEG electrode to contact the skin at different locations, and one or more physical processors operatively connected with the EEG electrode and the actuator. The one or more physical processors being programmed with computer program instructions which, when executed cause the one or more physical processors to: obtain an impedance signal from the EEG electrode; and actuate the actuator to move the EEG electrode based on a comparison of the obtained impedance signal with an impedance threshold.

Provided is a data processing apparatus including a signal data processor configured to collect signal data detected through polysomnography, to extract feature data by analyzing a feature of the collected signal data, and to transform the extracted feature data to time series data; and a sleep stage classification model processor configured to input the processed signal data to a pre-generated sleep stage classification model, and to classify a sleep stage corresponding to the signal data. The signal data processor is configured to extract feature data by analyzing a feature of each of an electroencephalographic (EEG) signal, an electro-oculographic (EOG) signal, and an electromyographic (EMG) signal with respect to the signal data, and to transform the extracted feature data to an epoch unit of time series data to input the extracted feature data to the pre-generated sleep stage classification model.

A neurological monitoring method and system that allows a user to monitor a neurological organ while recovering from a neurological injury. The neurological monitoring method allows the user to recover from the injury, and an invited follower to map the neurological organ and study the neurological organ from a display device. The method includes sensing the organ with a sensor, such as EEG electrodes. A signal generated by the neurological organ is then recorded by the sensor and transmitted to data storage, including a cloud. 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 for better understanding the condition of the neurological organ.

A method and system is provided for pre-processing of an electroencephalography (EEG) signal for cognitive load measurement. The present application provides a method and system for pre-processing ofelectroencephalography signal for cognitive load measurement of a user, comprises of capturing the electroencephalography signal from the head of the user, detecting the plurality of system artifactsin the captured electroencephalography signal, detecting and removing noisy window from the captured electroencephalography signal, detecting an eye blink region and filtering out said detected eye blink region from the captured electroencephalography signal, utilizing the filtered electroencephalography signal for measuring the cognitive load of the user and subsequently computing different levels of mental workloads on the user using variation of spatial distribution of frontal scalp EEG electrodes for measured cognitive load.