32 results about "Eeg monitoring" patented technology

A neurological control system for modulating activity of any component or structure comprising the entirety or portion of the nervous system, or any structure interfaced thereto, generally referred to herein as a “nervous system component.” The neurological control system generates neural modulation signals delivered to a nervous system component through one or more neuromodulators to control neurological state and prevent neurological signs and symptoms. Such treatment parameters may be derived from a neural response to previously delivered neural modulation signals sensed by one or more sensors, each configured to sense a particular characteristic indicative of a neurological or psychiatric condition.

An ear-worn EEG monitoring device is disclosed. The EEG monitoring device includes plural electrodes, an EEG signal acquisition circuitry with RF module, at least a housing for accommodating the EEG signal acquisition circuitry with RF module, and at least an ear-worn structure, wherein the ear-worn structure can be implemented to mount on one or two ear(s) of the user, so that during the EEG monitoring process, the ear-worn structure can be used to hold and support the housing and the EEG signal acquisition circuitry therein at position(s) above and including the neck of the user, and the RF module is used for achieving a wireless communication with an external apparatus, so as to transmit acquired signals thereto.

The present invention relates to a brain dysfunction and seizure detector monitor and system, and a method of detecting brain dysfunction and / or seizure of a subject. The various embodiments of the system of the present invention were developed for the brain activity and preferably EEG monitoring of a single patient or multiple patients. Preferably, the system or monitor of the present invention also includes one or more seizure detection algorithms. The analysis method is specifically optimized to amplify abnormal brain activity and minimize normal background activity. This analysis yields a seizure index whose value is directly related to the current presence of ictal activity in the signal. In addition, a seizure probability index based on historical values of the aforementioned seizure index, is derived for diagnostic purposes. The seizure probability index quantifies the probability that the patient has exhibited abnormal brain activity since the beginning of the recording. The real-time seizure index, and the historical seizure probability index, can be used in the context of an emergency and / or clinical situation to assess the status and well being of a patient's brain, or can be used to automatically administer treatment to stop the seizure before clinical signs appear.

An EEG monitoring apparatus (2) adapted to be carried continuously by a person being monitored comprises means adapted for measuring at least one EEG signal from the person carrying the apparatus and a signal processing means for analysing said at least one EEG signal and adapted to identify or predict predetermined biological incidents in said person based on said analysis. The EEG monitoring apparatus (2) further comprises a decision means adapted to decide when information is to be presented to said person and a message selection means for selecting a voice message providing said person with information, as well as an acoustic transducer adapted for presenting the selected voice message to the person. The invention also provides a method for presenting voice messages.

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.

A dual purpose sleep wearable headgear for both monitoring and stimulating the brain of a sleeping person is disclosed that provides a simple to use and safe platform for wearing consumer-type dual use brain stimulation and monitoring devices during sleep. The headgear enables a user to sleep comfortably while wearing the electronics and related electrodes needed for both EEG monitoring and transcranial electrical stimulation. The headgear can accept and support a miniaturized dual use monitoring / stimulation device on the forehead or the top of the head, where the bulk of the monitoring / stimulation device will not interfere with the user's sleeping position. The headgear disclosed takes the guesswork out of electrode placement, because the electrodes are prepositioned or are easily adjustable according to a predetermined pattern of electrode placement, and are appropriately sized so as to allow comfortable transcranial stimulation without producing skin irritation, and without awakening the user.

Methods, systems, and apparatuses for detecting seizure events are disclosed, including a system for identification of an increased risk of a severe neurological event. The system may include an electroencephalogram (“EEG”) monitoring unit configured to collect EEG data from the patient during at least a postictal phase of one or more seizures and a processing unit configured to receive the EEG data from the EEG monitoring unit. The processing unit is configured to detect postictal EEG suppression from the EEG data and to identify the increased risk of the severe neurological event based on the detected postictal EEG suppression. Other embodiments are described and claimed.

An integrated circuit chip and method for EEG monitoring. In one embodiment, the integrated circuit chip includes an Analog Front End cell in communication with an electrode and a Classification Processor wherein a signal received from the electrode is processed by the Classification Engine cell and designated as seizure or non-seizure. In another embodiment, the Analog Front End cell includes an amplifier cell in communication with an electrode; and an ASPU cell in communication with the amplifier cell. In yet another embodiment, the Classification Processor includes a DBE Channel Controller cell; a Feature Extraction Engine Processor cell, and a Classification Engine cell in communication with the Feature Extraction Engine Processor cells and the DBE Channel Controller cell.

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 new neuro-behavioral test with analysis algorithms has been developed for use in screening individuals for attention deficit hyperactivity disorder (ADHD) and for the quantitative evaluation of ADHD medication / therapy in diagnosed patients. This technique combines a 15 minute auditory-based test of attention with simultaneous EEG monitoring by a wireless, portable data acquisition device. This system acquires both behavioral response (i.e., reaction times to target stimuli, as well as errors of omission / commission) and EEG waveforms. All of the data is simultaneously processed by the algorithms to produce several representative indices. These indices are then combined to produce an overall neuro-behavioral index that represents the degree by which both “behavioral” and “EEG” attention is maintained throughout the test.

In order to minimize noise and current consumption in an EEG monitoring system (40) which can be continuously carried by a person to be monitored, an input converter (44) for an EEG monitoring system is devised. The analog-to-digital converter of the input converter has an input stage, an output stage, and a feedback loop, and the input stage comprises an amplifier (QA) and an integrator (RLF). A voltage transformer (IT) is placed in the input converter upstream of input stage. The transformation ratio of the voltage transformer (IT) has a transformation ratio such that it provides an output voltage larger than the input voltage, thereby multiplying the signal voltage for the input stage by a fixed factor. The voltage transformer (IT) is a switched-capacitor voltage transformer having at least two capacitors (Cx, Cy, Cz). The invention further provides a method of converting an analog signal, and an EEG monitoring system comprising the input converter (44).

Methods, systems, and apparatuses for detecting seizure events are disclosed, including a system for identification of an increased risk of a severe neurological event. The system may include an electroencephalogram (“EEG”) monitoring unit configured to collect EEG data from the patient during at least a postictal phase of one or more seizures and a processing unit configured to receive the EEG data from the EEG monitoring unit. The processing unit is configured to detect postictal EEG suppression from the EEG data and to identify the increased risk of the severe neurological event based on the detected postictal EEG suppression. Other embodiments are described and claimed.

In order to minimize noise and current consumption in an EEG monitoring system (40) which can be continuously carried by a person to be monitored, an input converter (44) for an EEG monitoring system is devised. The analog-to-digital converter of the input converter has an input stage, an output stage, and a feedback loop, and the input stage comprises an amplifier (QA) and an integrator (RLF). A voltage transformer (IT) is placed in the input converter upstream of input stage. The transformation ratio of the voltage transformer (IT) has a transformation ratio such that it provides an output voltage larger than the input voltage, thereby multiplying the signal voltage for the input stage by a fixed factor. The voltage transformer (IT) is a switched-capacitor voltage transformer having at least two capacitors (Cx, Cy, Cz). The invention further provides a method of converting an analog signal, and an EEG monitoring system comprising the input converter (44).

The invention discloses a brain-computer interface processing system and an implementation method thereof and belongs to the field of EEG (electroencephalogram) signal acquisition and application. The brain-computer interface processing system comprises a brain-computer interface processing device and a software application platform, wherein the brain-computer interface processing device comprises a dry electrode, an EEG signal acquisition and analysis module, a microprocessor, a wireless communication module and a processing and display terminal which are connected sequentially; the software application platform comprises an EEG signal storage module, an online EEG signal feedback module and an open API (application program interface); the microprocessor performs information interaction with the wireless communication module, the EEG signal storage module, the online EEG signal feedback module and the open API; the wireless communication module performs information interaction with the processing and display terminal. With the adoption of the brain-computer interface processing system and the implementation method thereof, a user can conveniently carry EEG monitoring equipment, doctors and relations take care of the user conveniently, and convenience is provided for calling of EEG information of the user by scientific research personnel through the open API.

Embodiments of the present invention (herein referred to simply as “the invention”) comprise an EEG monitoring device worn on or around a user's ears. In some embodiments of the invention, the device comprises a flexible printed circuit containing EEG sensors, skin adhesives or adhesive sensors, and a flexible extension to position the sensor adjusting the user's head size. The device may be designed so that when worn by a user, the sensors are placed at specific points on a user's head in order to accurately capture electroencephalography signals. Said specific points may be one or more points of a 10-10 EEG system. The EEG sensors may comprise or may be made of an adhesive material.

A new neuro-behavioral test with analysis algorithms has been developed for use in screening individuals for attention deficit hyperactivity disorder (ADHD) and for the quantitative evaluation of ADHD medication / therapy in diagnosed patients. This technique combines a 15 minute auditory-based test of attention with simultaneous EEG monitoring by a wireless, portable data acquisition device. This system acquires both behavioral response (i.e., reaction times to target stimuli, as well as errors of omission / commission) and EEG waveforms. All of the data is simultaneously processed by the algorithms to produce several representative indices. These indices are then combined to produce an overall neuro-behavioral index that represents the degree by which both “behavioral” and “EEG” attention is maintained throughout the test.

The invention discloses a working method of a sleeping and metal consultation application, a device and a system, wherein the working method, the device and the system belong to the field of problem consultation, ECG and EEG monitoring. The working method comprises the steps of acquiring and determining an operation instruction selected by a consumer, if ordering is determined, acquiring a sleeping problem and metal consultation which are input by the consumer and selecting a consultant for answering the problem, generating a common order according to the sleeping problem, the metal consultation and the consultant, and transmitting to a consultation platform, and displaying a feedback result when the feedback result is received; if physiological index monitoring is determined, establishingconnection with physiological monitoring equipment, acquiring and storing the physiological monitoring data which are monitored by the physiological monitoring equipment; and if instant consultationis determined, acquiring the sleeping problem and the metal consultation which are input by the consumer, on the condition that the physiological monitoring data exist, generating an instant order according to the sleeping problem, the metal consultation and the physiological monitoring data, and transmitting to the consultation platform, and when a consultant order receiving feedback is received,establishing instant communication with the consultant.

An integrated circuit chip and method for EEG monitoring. In one embodiment, the integrated circuit chip includes an Analog Front End cell in communication with an electrode and a Classification Processor wherein a signal received from the electrode is processed by the Classification Engine cell and designated as seizure or non-seizure. In another embodiment, the Analog Front End cell includes an amplifier cell in communication with an electrode; and an ASPU cell in communication with the amplifier cell. In yet another embodiment, the Classification Processor includes a DBE Channel Controller cell; a Feature Extraction Engine Processor cell, and a Classification Engine cell in communication with the Feature Extraction Engine Processor cells and the DBE Channel Controller cell.

The invention discloses a new type of EEG detection dry electrode based on a spring structure, which is easy to use, does not require time-consuming and complicated preparations, gets rid of the traditional EEG detection electrode's dependence on conductive paste, and can realize long-term EEG monitoring; Layered circuit board, combined with metal probes to form a closed Faraday cage, the amplifier circuit is located in the cage, which can reduce the interference of environmental electromagnetic signals on EEG signals. The dry electrode and the electrode cap are separated, so that the surface of the dry electrode can be cleaned conveniently; long electrodes or short electrodes can be selected according to the needs, which is conducive to adapting to different head sizes and shapes. This electrode is used in the diagnosis and treatment of neurological diseases, brain It has wide application prospects in machine interface and limb rehabilitation.

The invention discloses a fatigue driving EEG monitoring method based on step-type fatigue judgment, comprising steps: 1. equipment connection and parameter initialization; Acquisition and preprocessing, and synchronously transmit the preprocessed brain wave signal to the EEG signal monitoring terminal; 3. Brain wave signal analysis and processing: when analyzing and processing the brain wave signal collected and preprocessed within any second , the main control chip calls the stepped fatigue judgment module for analysis and processing. The process is as follows: synchronous storage of brain wave signals, extraction of meditation degree and concentration degree, determination of meditation degree correction value and time correction parameters, fatigue step parameter increase and decrease processing, fatigue driving judgment . The method of the invention has simple steps, reasonable design, convenient implementation and good use effect, and can monitor the fatigue driving state of the driver simply, quickly and accurately in real time, and has high practical value.

An injectable composition is described, which is capable of forming an hydrogel for electroencephalography (EEG) recording. The obtained hydrogel and method for its production is also an object of the invention, as well as the use of the injectable composition for EEG recording.The injectable composition comprises: natural or synthetic polymers, preferably alginate; a polymerization initiation system or a cross-linking agent, preferably calcium salts; and at least one ionized salt. The injectable composition can be applied into the electrode cavities of common commercial EEG caps and forms a solid hydrogel shortly after application. When the cap is taken off, the hydrogel either remains inside the electrode cavities, or it breaks into parts that are easily removed from the hair with a comb. It allows a faster and easier cleaning, reduces movement artefacts and also the risks of electrodes short-circuiting due to gel running, hence increasing EEG data reliability.

The invention discloses a convenient lifting EEG monitoring device and a working method thereof. The monitoring device comprises a box body and a box cover; the box cover is connected with the box body through a trip shaft; a monitoring box and a battery box are installed inside the box body; a sensing paster which is connected with the monitoring box through a transmission lead is installed inside the box body; a lifting guide slide vertical groove is installed in the inner wall of the box body; a guiding slide block is installed on a side wall of the monitoring box; a lifting hole is installed on a bottom wall of the lifting guide slide vertical groove; a lifting abutting rod is installed inside the lifting hole; an adjusting hole which is connected with the lifting hole is installed inthe outer wall of the box body; a drive tooth disk is installed inside the lifting hole; a tooth groove which is engaged with the drive tooth disk is installed on the side wall of the lifting abuttingrod; a shifting shaft rod which is connected with the center of the drive tooth disk is installed inside the adjusting hole. The invention has reasonable structure setting, small structure and convenient carrying, which can greatly improve its applicable range, solves the technical shortage of inconvenient carrying in the traditional technology and has good stability and applicability.

The invention discloses a wearable device for EEG monitoring, which includes a mounting frame, a first brain electrode and a second brain electrode, and the mounting frame includes a first horizontal guide rail, a second horizontal guide rail, a third horizontal guide rail, a top plate, a second A connecting arm and a second connecting arm, the first horizontal guide rail and the second horizontal guide rail are ring structures, the third horizontal guide rail is a C-shaped structure, and the first horizontal guide rail, the second horizontal guide rail, the third horizontal guide rail The horizontal guide rails are concentrically arranged directly under the top plate in turn. This wearable device for EEG monitoring can place brain electrodes at any position on the human head, so that when the brain electrodes act on patients with different head shapes, the position is more accurate, and it can Adjust the distance between the brain electrode and the patient's head, so that the brain electrode can be in close contact with any position of the head, preventing the brain electrode from falling off, and also preventing the brain electrode from being in poor contact, improving the stability of the brain wave data .

An EEG monitoring device, contains at least one electrode, a non-linear analog signal processor, a variable resolution analog-to-digital converter, a storage, and a power source. The non-linear analog signal processor receives a signal from the at least one electrode and determines whether the signal is within a significant category. The variable resolution analog-to-digital converter converts signals received from the non-linear analog signal processor into high-resolution digital signals if the signals are within the significant category, and converts signals received from the non-linear analog signal processor at a low resolution if the signals are not within the significant category. The storage stores high-resolution digital signals received from the variable resolution analog-to-digital converter and the power source is connected to, and provides power to, the non-linear analog signal processor, the variable resolution analog-to-digital converter, and the storage.

Herein a Swivel-Balance Cage System is described that markedly improves the safety and longevity of continuous long-term EEG monitoring in rodents. The described customized swivel-balance cage system allows tension-free rodent mobility.