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152 results about "Brain state" patented technology

Unitized electrode with three-dimensional multi-site, multi-modal capabilities for detection and control of brain state changes

An electrode with three-dimensional capabilities for detection and control of brain state changes of a subject. The electrode includes a disk portion having an upper surface and a lower surface, and a shaft portion secured to and extending perpendicularly outwardly from the lower surface of the disk portion; the shaft portion having an outer surface. The disk portion and shaft portion may include one or more recording or stimulating contact surfaces structured to operatively interact with the brain of a subject. Insulating material isolates each of the recording or stimulating contact surfaces from each other. At least one conductor operatively and separately connect each of the recording or stimulating contact surfaces in communication with external apparatus. The disk portion and shaft portion are structured relative to each other to operatively provide support and anchoring for each other while providing three-dimensional capabilities for detection and control of brain state changes of a subject. Modified embodiments include insertible/retractable electrode wires, both contained in channels and sheathed in axially displaceable cannulae; activating mechanisms for inserting/retracting the electrode wires and/or cannulae; and multiple shaft portions.
Owner:FLINT HILLS SCI L L C

Multi-modal system for detection and control of changes in brain state

ActiveUS7204833B1Increase temporo-spatial resolutionWithout of complications and without in performanceElectroencephalographyInternal electrodesBrain stateElectrical stimulations
A multi-purpose device mechanism for sensing and control of changes in brain state includes a shaft portion and extendible elements structured for insertion into target tissue of the brain of a subject patient, cooling means configured to operatively apply cooling therapy to the target tissue, stimulation means having at least one electrical contact structured to operatively apply electrical stimulation therapy to the target tissue, sensing means including at least one sensor monitoring a biological signal of the subject patient, control means responsive to the sensing means wherein the control means is structured to, in response to signals from the sensing means that indicate the presence of a pre-determined physiological condition or occurrence of an undesirable state change, automatically cause the cooling means and / or the stimulation means to initiate or terminate the cooling therapy and / or the electrical stimulation therapy respectively and an energy source for powering the various components of the multi-purpose device mechanism. A modified embodiment includes a least one spiral conduit and at least one return conduit for cycling coolant or refrigerant to and from the shaft portion and an external reservoir. Another modified embodiment includes pressurizing means for extending at least one extendable tube into brain tissue surrounding the shaft portion.
Owner:FLINT HILLS SCI L L C

Unitized electrode with three-dimensional multi-site, multi-modal capabilities for detection and control of brain state changes

An electrode with three-dimensional capabilities for detection and control of brain state changes of a subject. The electrode includes a disk portion having an upper surface and a lower surface, and a shaft portion secured to and extending perpendicularly outwardly from the lower surface of the disk portion; the shaft portion having an outer surface. The disk portion and shaft portion may include one or more recording or stimulating contact surfaces structured to operatively interact with the brain of a subject. Insulating material isolates each of the recording or stimulating contact surfaces from each other. At least one conductor operatively and separately connect each of the recording or stimulating contact surfaces in communication with external apparatus. The disk portion and shaft portion are structured relative to each other to operatively provide support and anchoring for each other while providing three-dimensional capabilities for detection and control of brain state changes of a subject. Modified embodiments include insertible / retractable electrode wires, both contained in channels and sheathed in axially displaceable cannulae; activating mechanisms for inserting / retracting the electrode wires and / or cannulae; and multiple shaft portions.
Owner:FLINT HILLS SCI L L C

Deep learning model based on multi-scale network and application in brain state monitoring

A deep learning model based on a multi-scale network and application in brain state monitoring are provided. A model establishing method comprises steps of: preprocessing and multi-scale transforming a measured multichannel signal; obtaining a multi-scale weighted recursive network and a cross-recursive rate matrix corresponding to the multi-scale weighted recursive network of the multichannel signal in all scales; extracting the network indexes of the multi-scale weighted recursive network at different scales; at each scale, retaining relatively large elements in the cross recursive rate matrix and obtaining an unweighted adjacent matrix and a multi-scale unweighted recursive network corresponding thereto; for each value of a variable in the set range, obtaining the multi-scale unweighted recursive network and the adjacent matrix corresponding to the multi-scale unweighted recursive network, extracting the network indexes of the multi-scale unweighted recursive network at different scales, calculating the integral of the network indexes when the variable is changed in the set range, and the integral as the final network index of the multi-scale unweighted recursive network under each scale; and training the deep learning model and monitoring a brain state.
Owner:钧晟(天津)科技发展有限公司

Brain state recognition system

An apparatus for assessing the brain state of a patient comprises at least one sensor to monitor at least one physiological variable, which provides at least one output signal. In addition, the apparatus for assessing the brain state of a patient comprises a computer processor for receiving the at least one output signal, wherein the computer processor filters the at least one output signal and applies pattern recognition techniques in evaluating the brain state of the subject. The computer processor comprises a first filtering module, which removes transient events not indicative of a brain state, and a second filtering sub-module, which groups together multiple modalities on the basis of classification techniques and incorporates additional information regarding mental states.
Owner:DREXEL UNIV

Brain state dependent therapy for improved neural training and rehabilitation

The disclosure provides an apparatus and method for assessing brain plasticity by measuring electrical brain biomarkers, for example, with a near real-time analysis of electrical brain biomarkers, where an increase or decrease in at least one biomarker is indicative of a state of brain plasticity in response to a stimulus or treatment. Brain plasticity can be measured with or without an added stimuli, for example, to determine the best time for learning. Also provided is a method for treating a neurological disease or trauma by applying an electrical or drug stimulus to a patient, where the stimulus is increased or decreased depending on the changes of electrical brain biomarker of the patient. This treatment can occur in near real-time, so a course of treatment can be tailored immediately to a patient's needs.
Owner:THE UNIV OF LETHBRIDGE

Nonlinear electroencephalogram signal analysis method and device

The invention discloses an electroencephalogram signal analysis method and an electroencephalogram signal analysis device to identify the brain state. The method comprises the following steps of: segmenting the acquired electroencephalogram signal; analyzing the state of each segment of electroencephalogram signal and preprocessing to remove interference; and calculating an ordering entropy of each segment of electroencephalogram signal, and determining the activity state of the brain according to ordering entropy values. The invention can be used for analyzing electroencephalogram signals under the conditions of different cognitive function activities of the brain and physiological statues, and can be particularly applied to studying the changes of brain activities in sleep and the like. Starting from a phase space, ordering entropies are adopted for statistical analysis of the structural change modes of the electroencephalogram signals to disclose the uncertainty, stable degree and information content of the electroencephalogram signals.
Owner:湖州康普医疗器械科技有限公司

Analysis method and application of electroencephalogram (EEG) signals based on complex network

The invention discloses an analysis method and application of EEG signals based on a complex network. The analysis method of the EEG signals based on the complex network comprises the following steps: constructing multi-scale level limited penetrable visibility graph complex networks; calculating characteristic indexes of each multi-scale level limited penetrable visibility graph complex network; combining a support vector machine to classify the EEG signals, namely using a leave-one-out cross-validation and support vector machine classifier to classify all two-dimensional index vectors, and using a ten-fold cross-validation and support vector machine classifier to classify all the two-dimensional index vectors. According to the invention, multi-scale ideas and level limited penetrable visibility graph theories are combined to construct an EEG multi-scale level limited penetrable visibility graph complex network so as to extract complex network indexes, and the support vector machine classifier in machine learning is combined to realize high-accuracy classification for different EEG signals. The analysis method and application of the EEG signals based on the complex network can be applied to smart head-mounted wearable equipment, and sleep EEG signals are measured through analyzing the smart wearable equipment to monitor the brain state of a user, furthermore, necessary early warning can be provided.
Owner:钧晟(天津)科技发展有限公司
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