63 results about "Brain electrical activity" patented technology

A system of accessing the brain of a subject to record and/or stimulate brain stares thereof. The system includes control means, first accessing means having a plurality of contact surfaces configured to operatively connect the control means to the brain of the subject to provide three-dimensional stimulation thereof; second accessing means having a plurality of contact surfaces to operatively connect the control means to the brain of the subject to provide access thereto for the purposes of obtaining three-dimensional recordings of the brain electrical activity of the subject; and a waveform bank containing a plurality of stimulating waveforms. The control means is configured to operative apply a first at least one of the stimulating waveforms of the waveform bank to the brain of the subject through the first accessing means and to assess acceptability within defined limits, as determined by preset criteria, of the subject's response to the application of the at first least one of the stimulating waveforms.

A physiological parameter measurement and motion tracking system including a control system, a sensing system, and a stimulation system is disclosed. The sensing system includes one or more physiological sensors including at least brain electrical activity sensors. The stimulation system includes one or more stimulation devices including at least a visual stimulation system. The control system includes an acquisition module configured to receive sensor signals from the sensing system, and a control module configured to process the signals from the acquisition module and control the generation of stimulation signals to one or more devices of the stimulation system. The control system further includes a clock module and the control system is configured to receive content code signals from the stimulation system and to time stamp the content code signals and the sensor signals with a clock signal from the clock module.

An implantable multimodal neurostimulator having improved efficacy in treating epilepsy and other neurological disorders and processes of using that neurostimulator are described herein. The neurostimulator itself generally has two modes of electrical stimulation. The first involves delivering a non-responsive electrical stimulation signal that is applied to the central nervous system to reduce the likelihood of a seizure or other undesirable neurological even from occurring. Various waveform morphologies are described for non-responsive stimulation signals. A second mode involves delivering a responsive electrical stimulation signal when epileptiform waveforms are impending or extant. The responsive electrical stimulation signal is intended to terminate epileptiform activity, e.g., to desynchronize abnormally synchronous brain electrical activity.

A headset for detecting brain electrical activity may include a flexible substrate having first and second ends each configured to engage an ear of a subject and dimensioned to fit across the forehead of a subject. The headset may also include a plurality of electrodes disposed on the substrate and configured to contact the subject when the headset is positioned on the subject. First and second electrodes may contact top center and lower center regions of the forehead, respectively, third and fourth electrodes may contact front right and front left regions of the forehead, respectively, fifth and sixth electrodes may contact right side and left side regions of the forehead, respectively, and electrodes included within the securing devices may contact the ear regions. The third and fourth electrodes may be moveable in at least a vertical direction relative to the other electrodes.

A method of extracting features and classifying a neurological state of a subject is provided. The method includes recording brain electrical activity, organizing the recorded data set into digital documents, computing a diffusion geometry on the data set comprising at least a plurality of diffusion coordinates, and classifying the data set into a neurological state based on the metrics provided by the diffusion coordinates.

A system for acquiring and processing a subject's brain electrical activity is provided. The system includes at least one electrode, at least one analog amplifier channel, an analog-to-digital converter, a stimulus generator, and a digital signal processor configured to perform a harmonic signal analysis algorithm. The at least one analog amplifier channel, the analog-to-digital converter, and the digital signal processor are configured on a single integrated physical circuit. All the components of the system are configured to reside on a common portable unit to make the system easily applicable at the point-of-care. The system records and processes a subject's spontaneous neuroelectric signals as well as evoked potentials in real-time, and generates analyzed data representative of a subject's neurophysiological condition.

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.

The invention discloses an assistance system for disabled people based on a brain control mobile eye and a control method for the assistance system. The system comprises vision inducing equipment, signal acquisition equipment, a signal processing module and peripheral control equipment, wherein the vision inducing equipment is used for providing a user interaction interface of the whole system, and a user carries out control by using the interface; the signal acquisition equipment is used for acquiring the brain electrical activity of the scalp, converting an acquired analog signal into a digital signal and transmitting the signal to the signal processing module; the signal processing module is used for analyzing acquired data in real time and controlling an experimental process; the peripheral control equipment comprises the mobile eye and a wheelchair; the mobile eye comprises an intelligent trolley and a camera holder arranged on the intelligent trolley; the peripheral control equipment can do corresponding motion according to a control instruction sent by the signal processing module. According to the assistance system for the disabled people based on the brain control mobile eye and the control method for the assistance system, the safety of wheelchair control can be improved.

The present invention discloses methods and systems for monitoring and evaluating brain electrical activity. Methods are provided for obtaining local synchrony information relating to regions of a brain. Methods are provided that include obtaining EEG information from an infant subject, and using the obtained EEG information in obtaining local coherence information. A mathematical technique or computer algorithm can be used to process the EEG information in order to reduce residual volume conduction error in the obtained local coherence information.

A system includes an implantable body configured for implantation in a subgaleal extracranial position, the implantable body including a first electrode array including a first elongated body comprising first and second electrode contacts separated from one another by a distance selected to facilitate the detection of brain electrical activity and a unit coupled to the first electrode array. The unit includes a processor analyzing the detected brain electrical activity to determine whether an epileptic event has occurred and generating epileptic event data based on this determination and a transceiver controlled by the processor to wirelessly transmit epileptic event data to and from a remote computing device.

A method and system for the detection and prevention of epileptic seizures utilizing bioelectric signals to assess a seizure profile (SP) and an adaptive control system for neurofeedback therapy. The inventive method and system provide the detection of changes in the non-linear dynamics of brain electrical activities to characterize and differentiate individual susceptibility to seizure onset, predict the occurrence of a seizure episode, and initiate neurofeedback training to prevent the attack.

The invention discloses an intracranial cortex electrode. The intracranial cortex electrode is composed of an insulated flexible substrate, multiple electrode points embedded in the flexible substrate, electrode wires buried in the flexible substrate and electrode sleeves collecting the electrode wires. Due to a channel formed in the flexible substrate, obstructive tissue fluid between the electrode and brain tissue can be easily discharged, the fitness of the electrode on the brain tissue can be improved, and then monitoring quality can be guaranteed; besides, the intracranial deep electrode can enter the deep brain conveniently through the channel to detect brain electrical activity signals of deep brain tissue. Meanwhile, according to needs, a reinforcing net can be buried in the flexible substrate, and different electrode wire outlets can be formed in the flexible substrate.

A system includes an implantable body configured for implantation in a subgaleal extracranial position, the implantable body including a first electrode array including a first elongated body comprising first and second electrode contacts separated from one another by a distance selected to facilitate the detection of brain electrical activity and a unit coupled to the first electrode array. The unit includes a processor analyzing the detected brain electrical activity to determine whether an epileptic event has occurred and generating epileptic event data based on this determination and a transceiver controlled by the processor to wirelessly transmit epileptic event data to and from a remote computing device.

The invention discloses a system for integral correction of attention, studies and behaviors for children and adolescents. The system comprises an electroencephalographic biofeedback module, a psychological guidance module and a study guidance scheme making module. The electroencephalographic biofeedback module is used for training a subject to learn consciously control own brain electrical activities according to perception of electroencephalographic information change and training the subject to consciously restrain abnormal electroencephalographic signals or strength normal electroencephalographic signals. The psychological guidance module is used for relax training, attention training and professional guidance and activities for group psychology counseling for children of school ages. The study guidance scheme making module is used for looking up relevant works and test paper of the subject to customize personal study guidance scheme for the subject by communication with the subject and parents. The system is capable of organically coordinating the electroencephalographic biofeedback module, the psychological guidance module and the study guidance scheme making module to realize effect optimization and efficiency maximization so as to radically solve the problems of attention deficit disorder, poor study performance and misbehavior for children and adolescents.

Data corresponding to brain electrical activity of a patient from a QEEG is processed to determine which brain activity data deviates from that of a normative profile. The deviant brain activity data is used to determine a brain state vector (BSV) in a multidimensional brain electrical signal space, wherein the orientation of the BSV indicates the nature of the deviation from a normal state and may be used to prescribe a medicine to the patient and wherein the length of the BSV quantifies the degree of abnormality exhibited by the patient and may indicate the dosage of the medicine to be prescribed to the patient.

The invention discloses an anesthesia induction and wakening method. According to the method, a computer system is utilized for controlling the anaesthesia induction and wakening process of a patientto ensure the life safety of the patient. Anaesthesia medicines are slowly and constantly injected through pumping through BIS monitoring or Narcotrend monitoring, non-invasive continuous arterial blood pressure monitoring or invasive arterial blood pressure monitoring and neuromuscular monitoring, the brain electrical activity of the patient is constantly monitored, the process of air way pipe inserting and air way pipe pulling is completed under blood pressure and neuromuscular conditions to reduce blood flowing mechanical fluctuation of the patient, and the risk of inserting the pipe againafter the patient is waked up when the pipe is pulled out is reduced. Objective technical support is provided for the developing of an anaesthesia induction and wakening interval method and system.

The invention discloses an epileptic electroencephalography amplitude irreversibility analysis method based on equivalent array and standard deviation. The method comprises the steps that an electroencephalogram signal is subjected to negative value processing, a multi-dimension delay vector is established and subjected to equivalent array signifying, amplitude fluctuation of the multi-dimension vector is classified, an amplitude fluctuation mark of the multi-dimension vector is used for correcting an equivalent array type, probability distribution for correcting equivalent array is counted and calculated, and the difference of probability distribution of the array type is calculated. According to the method, the non-linear characteristic of a model sequence is effectively extracted, and the abnormally-high amplitude irreversibility characteristic in the attack stage of epilepsy and the non-balance characteristic higher than healthy brain electrical activity in the attack stage are effectively represented.