111 results about "Electroencephalogram electrode" patented technology

The invention relates to a sleep therapy apparatus based on electroencephalogram biofeedback, also called as a good sleep generator. The apparatus comprises an electroencephalogram electrode, an electroencephalogram signal amplifying and filtering circuit, an A/D (analog/digital) sampler, a measuring and controlling system based on a single chip microcomputer, a D/A (digital/analog) output circuit, a stimulating signal drive circuit, a system power supply and the like, wherein an electroencephalogram signal, the electroencephalogram electrode, the amplifying and filtering circuit, the A/D sampler, the measuring and controlling system, the D/A output circuit, the drive circuit and a stimulating electrode are orderly connected, and an analytical algorithm module and a database are connected with the measuring and controlling system. According to invention, the single chip microcomputer system is used as a measuring and controlling platform, and collection, amplification and analysis processing of the electroencephalogram signal are realized in combination with the electroencephalogram signal amplifying and filtering circuit and a stimulating wave signal database which are arranged at the front end and a stimulating signal generating and drive circuit arranged at the rear end; corresponding therapy mode, stimulating wave group and stimulating intensity are selected according to the characteristics of the brain waves; and at last a therapy scheme is input by a post-stage stimulating circuit so as to realize biofeedback type sleep therapy.

An exemplary embodiment of the present disclosure provides a method of recognizing, by a controller, an intention of a user who wears a head mounted display to which electroencephalogram electrodes are attached. The method includes obtaining brain signals for learning from each of the head mounted display and an additional electrode device coupled to the head mounted display, in a state where a training image causing brain signals is displayed on the head mounted display; learning a first relational model between electrodes of the head mounted display and electrodes of the additional electrode device using the brain signals for learning; measuring brain signals by the head mounted display decoupled with the additional electrode device, in a state where a specific image is displayed on the head mounted display; estimating brain signals of the additional electrode device non-measured, from the brain signals measured by the head mounted display based on the first relational model; and recognizing a user intention corresponding to the measured brain signals and the estimated brain signals.

The invention provides a statistical evaluation method for intermediate data of paroxysmal conditions of children's absence epilepsy. The method employs easy wearable electroencephalogram electrodes and wristbands that are easy to be accepted by children because the electroencephalogram electrodes and the wristbands are of concealment and are convenient to be worn by the children. In the method, not only the electroencephalogram is used for analyzing the paroxysm of the epilepsy, but also wireless motion nodes are introduced in combination with the children's features to more precisely detect the paroxysmal process and the paroxysmal number. Without affecting the children's daily activities or hurting the children patient, the system is suitable to be worn at home and applicable to a long-term measurement. The objectivity is better when wearing the system for a longer period. By this method, the daily paroxysmal information of the children patient can be statistically accumulated, thereby providing an auxiliary basis for the family members to understand the illness condition as well as for the doctors to further understand the illness condition, due to the fact that whether the statistic of the paroxysmal number is accurate also provides a great reference to the therapeutic process of the children patient.

The invention discloses a brain-computer interface communication system based on asymmetric visual evoked potential. The system comprises a liquid crystal display, an electroencephalogram electrode, an electroencephalogram amplifier and a computer processing platform, wherein the liquid crystal display is used for displaying a stimulation interface; the electroencephalogram electrode is used for collecting an electroencephalogram biological signal; the electroencephalogram amplifier is used for amplifying the signal through the electroencephalogram amplifier and inputting the amplified signal into a computer after carrying out filtering; the computer processing platform is used for designing and executing commanding codes based on a peripheral view asymmetric visual stimulation according to induction characteristics of the asymmetric VEP (Visual Evoked Potential), and finally, the electroencephalogram signal is decoded and converted into a BCI (Brain-Computer Interface) instruction to be output. Compared with a traditional visual BCI system, the brain-computer interface communication system based on asymmetric visual evoked potential can reduce the visual feeling of fatigue of a subject, meanwhile, the information transmission efficiency of the BCI system is improved, a perfect brain-computer interface system can be obtained through further researches, and considerable social benefits and economic benefits can be possibly caused.

The invention relates to the field of medical equipment in order to improve the transmission rate of system information greatly. The invention adopts the technical scheme that the multi-brain-computer interface method for three characteristics of SSVEP (Steady State Visual Evoked Potential), blocking and P300 comprises the following steps: adopting a computer and an electroencephalogram acquisition system including an electroencephalogram electrode, an electroencephalogram amplifier and an electroencephalogram filter, wherein the computer further comprises an EEG (Electroencephalo-Graph) analytical program and a stimulation and induction user interface; acquiring electroencephalogram data of multiple channels by using the electroencephalogram acquisition system; generating an electroencephalogram signal from cerebral cortex, detecting the electroencephalogram signal by using the electroencephalogram electrode, amplifying by using the electroencephalogram amplifier, and filtering and inputting to the computer; and carrying out subsequent data process on the acquired electroencephalogram data to extract corresponding SSVEP, SSVEP blocking and P300 characteristic signals, thus the characteristics are applied to mode recognition of experimental tasks. The multi-brain-computer interface method is mainly applied to the design and manufacturing of the medical equipment.

The invention discloses a pair of sleep monitoring eye patches and a sleep monitoring method for electroencephalogram and electro-oculogram composite detection, and relates to the technical field of sleep monitoring. An electroencephalogram electrode and a left-eye electro-oculogram reference electrode are fixed to the inner side face of an eye patch main body, wherein the electroencephalogram electrode is located on a corresponding part of Fp2; and the left-eye electro-oculogram reference electrode is arranged on a corresponding par of EOG left (electro-oculogram left). A main circuit board and a power supply battery are fixedly arranged in an interlayer of the eye patch main body; a signal processing module, a signal separating module and a wireless transmission module, which are sequentially connected, are integrated on the main circuit board; the signal processing module is connected to the electroencephalogram electrode and the left-eye electro-oculogram reference electrode; the wireless transmission module is in wireless communication with an intelligent terminal outside; and a right leg driving electrode, which is located on a corresponding part of Fp1, exposed out of the eye patch main body and is connected to the signal processing module, is additionally fixed to the main circuit board. With the application of the sleep monitoring eye patches and the sleep monitoring method disclosed by the invention, the problem that electroencephalogram signals are canceled is solved, so that the validity of the acquired signals is guaranteed; and in addition, by conducting the electroencephalogram and electro-oculogram, the quality of sleep monitoring is enhanced.

The invention discloses a method for treating dyskinesia after a stroke based on transcranial magnetic stimulation. The method comprises steps of using a transcranial magnetic stimulation positioning cap for positioning and determining a simulation part, wherein the transcranial magnetic stimulation positioning cap is composed of lobes, brain motor functional area distribution and an electroencephalogram electrode locating system; and simulating the simulation part via at least two simulation coils based on preset parameters. The invention combines the bi-coil transcranial magnetic stimulation technology with the positioning simulation treatment of dyskinesia after the stroke by the magnetic stimulation positioning cap, the operation is simple and convenient, the price is cheap, and the effect is remarkable. With the combination of selection of treatment parameters of simulation frequency, stimulation intensity, stimulation time, intermittence time, treatment time and the like, the object of bidirectional brain function adjustment of transcranial magnetic stimulation is achieved.

The invention discloses a brain-computer interface based telephone system comprising an electroencephalogram extractor, an electroencephalogram preprocessing unit and a data processing terminal. The electroencephalogram extractor is used for extracting electroencephalograms of a testee; the electroencephalogram preprocessing unit is connected with the electroencephalogram extractor; the data processing terminal is communicated with the electroencephalogram preprocessing unit. An electroencephalogram sampling unit comprises a first electroencephalogram electrode, a second electroencephalogram and a third electroencephalogram which sample occipital area level, frontal area level and aural area level respectively. The brain-computer interface based telephone system is simple in structure, small in size, reasonable in design, simple to operate and good in utilization effect; the demands of special populations for telephone usage can be met. The invention further discloses a brain-computer interface call method; the method includes the steps of 1, extracting and transmitting electroencephalograms, 2, sampling and synchronously uploading the electroencephalograms, and 3, analyzing the electroencephalograms. The call method is simple, convenient to implement and good in utilization effect; various telephone operations, such as dialing and answering, are automatically performed according to electroencephalograms of the testee.

The invention discloses an EEG equipment-based large-scale electroencephalogram sleep monitoring system which comprises a wearing hood, a bluetooth module, a wireless module, a mobile phone and a cloud server; the EEG equipment comprises a wearing hood, a grounding electrode, a reference electrode, an electroencephalogram electrode and a control circuit board; the control circuit board is arrangedon the top of the wearing hood through a mounting box; the bluetooth module and the wireless module are arranged on the control circuit board; the electroencephalogram electrode is arranged on the top end in the wearing hood; the reference electrode is arranged on one side in the wearing hood; the grounding electrode is arranged on the other side in the wearing hood; the grounding electrode, thereference electrode and the electroencephalogram electrode are all electrically connected with the control circuit board; the bluetooth module is in signaling connection with the mobile phone; the wireless module and the mobile phone are in signaling connection with the cloud server. Processing for mass EEG information is realized; a deep learning neural network-based artificial intelligence algorithm model is established; the signal feature can be recognized at high accuracy rate; the model is also capable of finishing self-correction and finally reaching a degree of accuracy approximate to that in a medical scene.

The electroencephalogram electrode unit for small animals includes a base that covers the scalp or brain surface of a small animal and has a plurality of through holes and a plurality of electrodes. Each of the plurality of electrodes is inserted into each of the plurality of through holes, and each of the plurality of electrodes is equipped with an insulating tube, an electrode section disposed within the tube, an extraction conducting wire that is connected to the electrode section and extracts the EEG signal to outside, and a paste that is filled within the tube. The tube is installed in the through hole in a manner of standing upright from the scalp or brain surface, and the electrode section is formed in the form of a wire and is disposed, in a manner of standing upright from the scalp or brain surface, within the paste filled within the tube.

The invention discloses a 4D transcranial focused ultrasonic neuroimaging method based on an acoustoelectric effect. The method includes the steps that a focused ultrasonic signal generator and an energy converter are adopted to achieve generation and emission of focused ultrasonic signals, and focused ultrasonic characteristics under different parameters are determined; an electroneurographic signal collecting device composed of an electroencephalogram collecting system provided with an electroencephalogram electrode, an electroencephalogram amplifier and an electroencephalogram filter and anelectroneurographic-signal measuring system based on ultrasonic modulation is installed and connected; ultrasonic waves are spread through the cranium and focused on a certain position, and based onthe acoustoelectric effect principle, scalp electroencephalogram signals after ultrasonic modulation, namely, acoustoelectric signals are collected; through the amplitude values, the frequency and thephase position relevance of the acoustoelectric signals and activation source signals, the electroencephalogram signals are subjected to spatial encoding and demodulation, 4D neuroimaging of high space-time resolution is achieved, and multiple requirements in practical application are met.

The invention provides an electroencephalogram electrode. The electroencephalogram electrode comprises an electrode sheet, a gauze, an O-shaped sealing ring, a liquid storing groove passage, cotton, a liquid storing groove, a liquid storing groove cover, an electrode shell, a pure silver connector, a silver wire lead, a lead passage, a fixing frame and a positioning plate, wherein the electrode sheet is embedded into the bottom of the electrode shell and is welded with the pure silver connector through the lead passage by the silver wire lead; the liquid storing groove provided with the liquid storing groove passage is accommodated in the electrode shell; a groove is formed in the bottom of the electrode shell and is matched with the O-shaped sealing ring; the cotton is arranged in the liquid storing groove and is extended to the surface of the electrode sheet; the gauze is covered on the cotton on the surface of the electrode sheet; and the electrode shell is connected with the fixing frame and the positioning plate. The electroencephalogram electrode is reasonable in structural design, low and stable in electrode impedance, stable in impedance of electrode surface and skin, low in noise and good in effect; base line drift is reduced; and conducting liquid is not required to be implemented in a test process, so detection speed is increased. Because the cover is added to seal, so the conducting liquid placed for a long time is prevented from being volatilized.

The invention discloses a large-scale game scene rehabilitation system based on eye movement and electroencephalogram information and a method. The system includes an electroencephalogram electrode, amechanical exoskeleton, a display screen, an eye tracker and a control rocker and BCI judgment button device; the electroencephalogram electrode is arranged on the top of the head of a patient; the mechanical exoskeleton is arranged on the affected side of the patient; the mechanical exoskeleton is provided with a touch sensing vibrator module; the control rocker and BCI judgment button device isarranged on the healthy side of the patient; the display screen is placed in front of the patient and is connected with a computer; the eye tracker is arranged on the display screen; and a large-scale rehabilitation game is completed through the cooperation of the healthy side and the affected side. According to the system of the invention, a brain-computer interface technology and a game are ingeniously combined, so that a novel framework is built; the disadvantages of less BCI intention recognition can be avoided; and a plurality of rehabilitation games can be embedded on the basis of the framework mode of the invention, so that t the rehabilitation training of the patient can be an immersive game scene.

The invention relates to equipment for eliminating ocular artifacts during sleeping state analysis. The equipment comprises an electroencephalogram electrode, an electrooculogram electrode, a reference electrode, an analog-to-digital converter and a processor, wherein the analog-to-digital converter is connected with the reference electrode; the processor is connected with a filtering circuit through the analog-to-digital converter; the electroencephalogram electrode is used for detecting an original electroencephalogram signal; the electrooculogram electrode is used for collecting an electrooculogram signal; the analog-to-digital converter is used for analog-to-digital conversion; the filtering circuit is used for inputting the signal to the processor after the low-frequency filtering; the processor is used for performing empirical mode decomposition on each frame of the original electrooculogram signal, and decomposing the original electrooculogram signal into a plurality of eigenmode functions; the relevant coefficient between each eigenmode function and the electrooculogram at the same moment is calculated; the eigenmode functions with the relevant coefficients being greater than the preset threshold value and the eigenmode function with the maximum relevant coefficient are found and deleted; the rest eigenmode functions are used for rebuilding each frame of electroencephalogram. The equipment provided by the invention has the advantages that the influence on the electroencephalogram waveform in the ocular artifacts eliminating process can be reduced; most detail information of the original signal is remained.

The invention relates to an intelligent rehabilitation device for sub-health syndrome. The intelligent rehabilitation device for sub-health syndrome comprises a spectacles frame-shaped rehabilitation device main body, wherein blinders are arranged at the front part of the rehabilitation device main body; guide lamps which are used for adjusting the brightness are arranged at the inner sides of the blinders; an electroencephalogram electrode is arranged at the inner side of the front part of the rehabilitation device main body and located between the two blinders; an electrocardiogram electrode and a reference electrode are arranged at two sides of a nose frame of the rehabilitation device main body; another electrocardiogram electrode is arranged in a power supply button control box; an earphone which is used for playing audios is arranged on the rehabilitation device main body; and the earphone, the guide lamps, the power button control box and the electroencephalogram electrode are electrically connected with the rehabilitation device main body so as to control the play volume of the earphone and the brightness and color of the guide lamps through the power supply button control box. The intelligent rehabilitation device for sub-health syndrome is compact in structure, is capable of conveniently carrying out psychological guidance and treatment services to ensure that the sub-health syndrome patients can obtain specified psychological guidance and treatment, and is wide in application range, safe and reliable.

The invention provides a head-mounted device and an attention evaluation training method thereof. A processor, an electroencephalogram electrode and a pulse electrode are arranged on a head-mounted device body, the first end of the electroencephalogram electrode is arranged at the top of the head-mounted device body and connected with the processor, and the second end is used for collecting electroencephalogram waves; the first end of the pulse electrode is arranged at the bottom of the head-mounted device body and connected with the processor, and the second end is used for collecting pulse signals; the processor is used for evaluating attention according to pulse information, electroencephalogram frequency and electroencephalogram amplitude so as to obtain an attention concentration degree value. The head-mounted device can be used for performing convenient human body signal collection on a user; due to the fact that the head-mounted device is similar to existing earphones, emotion and mentality interference caused by other devices to the user is avoided, meanwhile, by collecting electroencephalogram waves and pulse signals, more accurate data can be obtained, and the attention evaluation result close to reality is obtained.

The invention discloses a wearable electroencephalogram waking state detector. A virtual screen is generated at a position which is two meters away from a human eye by a portable projector, and video simulating signals are provided for waking state detection. Audio signals are outputted by an audio interface, and audio simulating signals such as background music and training instructions are provided for waking state detection. Electroencephalogram electrodes are placed at the forehead of a brain by the aid of a rotary adjusting rod and a telescopic adjusting rod. The electroencephalogram electrodes transmit acquired brain wave signals into an embedded processing unit, the embedded processing unit performs spectral analysis for the brain wave signals, theta wave components reflecting the waking state of the brain are extracted, neural feedback is performed for waking state detection, and data are transmitted to a man-machine interaction device through a wireless data interface. Electroencephalograms are used as feedback signals of waking state detection, and waking state detection efficiency and reliability are greatly improved.

The invention discloses a dual-purpose treatment and inspection acupuncture needle and a manufacturing method thereof. The dual-purpose treatment and inspection acupuncture needle comprises a needle stem (1), a needle body (2) and an electrode connector (3), wherein the needle body (2) is arranged at one end of the needle stem (1); the electrode connector (3) is welded at one end far away from the needle body (2); one end, far away from the needle stem (1), of the needle body (2) takes the shape of a needle tip; a first identification layer is arranged on the needle stem (1); a second identification layer is arranged on the electrode connector (3). The dual-purpose treatment and inspection acupuncture needle has the beneficial effects that the dual-purpose treatment and inspection acupuncture needle is a normal clinical instrument for acupuncture, can be used for treating multiple diseases and is free of toxic or side effect; furthermore, due to adoption of a structure of the first identification layer and the second identification layer, the phenomenon of acupuncture omission can be avoided when the dual-purpose treatment and inspection acupuncture needle is used, the dual-purpose treatment and inspection acupuncture needle can also be used as an electroencephalogram electrode for recording electroencephalogram, then the purpose of inspection can be achieved when the dual-purpose treatment and inspection acupuncture needle is retained, and thus the time can be saved.

The invention discloses a sports psychology index data acquisition analysis and processing device, which comprises a hair band, a wrist band and a lint sleeve, wherein one end of the inner surface of the hair band is provided with multiple electroencephalogram electrodes; the other end of the inner surface of the hair band is provided with a processing unit; the electroencephalogram electrodes and the processing unit are in data connection; one side of the hair band is provided with a wireless data transmission device A; the wireless data transmission device A is in data connection with the processing unit; the other side of the hair band is provided with a power supply A; the wrist band is internally provided with a pulse and blood pressure measuring device; one side of the wrist band is provided with a wireless data transmission device B; and the other side of the wrist band is provided with a power supply B. Psychology index data acquisition analysis and processing can be carried out during normal physical training or competition of an athlete, normal training or competition of the athlete is not influenced, the acquired data are more realistic and accurate, and favorable support is provided for targeted psychological training on the athlete.

The invention discloses a low-noise electroencephalogram signal acquiring system. The system comprises N active electroencephalogram electrodes, N triax connecting wires, N electroencephalogram signal conditioning modules, a multiplexing conformity sending module, a data receiving and displaying end and a controller. The active electroencephalogram electrodes with high-impedance amplifiers are adopted, so that electroencephalogram signals are transmitted after being amplified; meanwhile, by means of the novel shielding mode adopting triax connectors and the triax connecting wires, the defect that weak electroencephalogram signals are susceptible to interference of environment noise during long-distance transmission can be effectively overcome; meanwhile, the sampling frequency and data transmission speed of the system can be adjusted through corresponding control instructions so that the system can be used under different sampling frequencies and data transmission speeds.

The invention discloses a wearable electroencephalogram relaxation training instrument. A virtual screen is generated at a position which is two meters away from a human eye by a portable projector, and video simulating signals are provided for relaxation training. Audio signals are outputted by an audio interface, and audio simulating signals such as background music and training instructions are provided for relaxation training. Electroencephalogram electrodes are placed at the forehead of a brain by the aid of a rotary adjusting rod and a telescopic adjusting rod. The electroencephalogram electrodes transmit acquired brain wave signals into an embedded processing unit, the embedded processing unit performs spectral analysis for the brain wave signals, alpha wave components reflecting the relaxing state of the brain are extracted, neural feedback is performed for relaxation training, and data are transmitted to a man-machine interaction device through a wireless data interface. Electroencephalograms are used as feedback signals of relaxation training, and relaxation training efficiency and reliability are greatly improved. By the aid of a wearable computer, many unnecessary interference factors are eliminated, and a training environment is improved.