129 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.

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, and
    • comparing 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.

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 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 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.

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.

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 brain-computer interface (BCI) designed with a hybrid electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) for letter and number recognition system for people who cannot speak. By this system, the words and numbers a subject thinks of are reflected on a display screen. A speech tool has been designed for these individuals allowing them to express themselves.

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.