KR20230095038A - Wireless telecommunication module for embedded EEG electrodes inside the brain head or EEG electrodes outside the brain head and EEG detection system including the same for cerebropathia analysis and diagnosis - Google Patents

Abstract

Disclosed are a wireless transmission module for internal or external internal and external EEG electrodes for brain disease analysis and diagnosis, and an EEG detection system including the same. The system detects brain waves by directly attaching EEG electrodes on the area to be tested on the surface of the cerebral cortex outside or inside the head, and to individual transmission lines that detect EEG signals from the area to be tested or the outer surface of the head. EEG data collection unit having a connected EEG connection terminal unit or a plurality of EEG electrode units for measuring brain wave data outside the head; and a wireless transmission module that is connected to the EEG data collection unit through a transmission line and wirelessly transmits EEG data measured from the plurality of EEG electrode units, wherein the 3D glasses wearer provides right hand/right foot and left/left foot movements An EEG detection system for detecting EEG signals of each EEG channel while viewing VR/AR images; And a wireless receiving module, an EEG data receiving unit, an EEG data controller, an EEG data storage unit, and an EEG data output unit, and an EEG analysis program and a 3D brain map program are provided, and EEG signals of each EEG channel are received and measured. It outputs the EEG waveform of each EEG channel by time period, classifies the EEG abnormal EEG/normal EEG for each EEG waveform and stores them in the database of the server. It includes a wireless EEG receiving system that displays on a map.

Description

Wireless telecommunication module for embedded EEG electrodes inside the brain head or EEG electrodes outside the brain head and EEG detection system including the same for cerebropathia analysis and diagnosis}

The present invention relates to a wireless transmission module for internal or external head EEG electrodes for analyzing and diagnosing brain diseases, and an EEG detection system including the same, and more particularly, to an internal or external head EEG electrode. EEG signals detected from the brain are transmitted to a wireless EEG receiving system (brain wave data analysis device) using Bluetooth or Wi-Fi. EEG output, separates EEG abnormal EEG/normal EEG for each EEG waveform of each EEG channel through AI-based EEG analysis of the EEG waveform of each EEG channel, and epileptic seizure with abnormal EEG of the EEG waveform of each EEG channel A wireless transmission module coupled with internal or external EEG electrodes inside or outside the head for analyzing and diagnosing brain diseases, displaying locations and regions on a 3D brain map, and an EEG detection system for analyzing and diagnosing brain diseases including the same It is about.

Hans Berger, who first detected EEG, recorded EEG using two platinum (Pt) electrodes subcutaneously in the skull defect. EEG was recorded for 1 to 3 minutes by attaching an electrode. The electrical activity of the brain reflected in EEG is determined by neurons, glia cells, and the blood-brain barrier, and is mainly generated by nerve cells.

According to prior art 1 related to this, "brain wave measurement device and method" is registered in Patent Registration No. 10-0450758.

According to prior art 2 related to this, in Patent Registration No. 10-1704704, “wireless transmission module for built-in EEG electrode and EEG detection system including the same” is registered.

EEG-based BCI (EEG-based brain computer interface) technology is used for neural networks in the brain using medical, brain science, cognitive science, computer science, and electronic engineering technologies. EEG (Electroencephalography, electroencephalogram) measures the electrical potential difference generated on the surface of the brain by each EEG electrode, and uses analog amplifier, ADC, BPF filtering, FFT conversion or wavelet in the time domain. Brain function analysis and brain disease diagnosis are performed through EEG analysis using conversion and gamma-band response.

CT, Functional MRI, and PET are used as neuroimaging devices that measure the structure of the brain. F-MRI and PET have the advantage of higher spatial resolution than EEG, but have lower temporal resolution than EEG. It is not possible to see changes in the brain within time.

The cerebral cortex below the head surface is largely divided into the frontal lobe, parietal lobe, temporal lobe, and occipital lobe, and the occipital lobe receives primary visual information by the primary visual cortex. The parietal lobe, which is in charge of processing and corresponds to the vicinity of the parietal region, is responsible for motor/sensory related information processing by the somatosensory cortex.

An electroencephalogram (EEG) is a microscopic bioelectricity generated when a signal is generated between a nervous system and a brain nerve cell, and an electrical potential difference generated on the surface of the brain is measured using an EEG electrode. EEG waves are classified into delta (δ) waves, theta (θ) waves, alpha (α) waves, beta (β) waves, and gamma (γ) waves. Brain waves are classified according to their frequency and amplitude, and human brain waves generate a frequency of 0 to 50 Hz, and show an EEG signal amplitude of about 20 to 200 μV.

EEG waves are delta-δ waves (0.5 to 3.99 Hz), theta-θ waves (4 to 7.99 Hz), alpha-α waves (8 to 12.99 Hz), and beta-β waves (13 to 29.99 Hz) according to the range of oscillating frequencies. Hz), and gamma-γ waves (30 to 50 Hz).

Delta waves have a frequency of 2 to 4 Hz and an amplitude of 20 to 200 V, and appear mainly in deep sleep or newborn babies when normal people sleep.

Theta waves have a frequency of 4 to 8 Hz and an amplitude of 20 to 100 V, and appear in an emotionally stable state or before going to bed.

Alpha waves have a frequency of 8 to 13 Hz and an amplitude of 20 to 60 V, appear in a relaxed state such as meditation, and help relieve stress and improve concentration.

Beta waves have a frequency of 13 to 30 Hz and an amplitude of 2 to 20 V, and appear mainly in the frontal lobe during waking, waking up, walking, talking, and excitement.

Gamma waves have a frequency of 30 to 50 Hz and an amplitude of 2 to 20 V, and appear mainly when excited.

Classification of EEG signals frequency characteristic delta-delta waves 0.5 to 3.99Hz It has a frequency of 02 to 4 Hz and an amplitude of 20 to 200 V. The delta wave state produces large amounts of growth hormone. theta-θ waves 4 to 7.99Hz It has a frequency of 4 to 8 Hz and an amplitude of 20 to 100 V, and appears in an emotionally stable state or before bedtime (before falling asleep). Theta waves occur at the boundary between perception and dream. alpha-α waves 8 to 12.99Hz It has a frequency of 8 to 13 Hz and an amplitude of 20 to 60 V, appears in a relaxed state such as meditation, and is helpful in relieving stress and improving concentration. Beta-β waves 13 to 29.99Hz It has a frequency of 13 to 30 Hz and an amplitude of 2 to 20 V, and appears during activities such as tension and excitement in life. Helps improve motor skills, brainwaves when conscious gamma-γ waves 30-50Hz It has a frequency of 30 to 50 Hz and an amplitude of 2 to 20 V, and appears mainly when excited.

EEG (electroencephalograph) mainly uses a measurement method using EEG (electroencephalograph) electrodes or ECoG (electrocorticography, cortical conduction) electrodes. The brain wave detection device measures EEG (electroencephalogram) outside the head of the two cavities, and measures ECoG (cortical conduction) inside the head within the two cavities. EEG and ECoG are brain activities, and electrical signals are generated in the process of exchanging signals between brain cells. The current of the electrical signal is received and analyzed, and since the brain wave detection device uses a wired signal transmission module, it is inconvenient for patients to move.

In brain imaging tests, MRI, SPECT, PET, etc. are used to check whether there is a brain lesion that can cause epilepsy.

Epilepsy (epilepsy) is a chronic abnormal condition of the brain that causes repetitive seizures by causing excessive electrical discharge due to functional and structural abnormalities of brain neurons. The causes of epilepsy are heredity, brain damage during childbirth, brain development abnormalities, congenital malformations, brain tumors, or brain damage caused by traffic accidents. , behavioral disorder, or cognitive impairment. Structural or functional imaging tests such as MRI, SPECT, and PET are helpful in identifying the location of epileptic lesions where seizures occur, but the diagnosis of epileptic lesions and determination of the extent of resection are performed by intracranial EEG. For the diagnosis of epilepsy lesions, it is important to analyze intracranial EEG records and distinguish between pathological EEGs produced by the pathological cerebral cortex causing seizures and normal EEGs produced by normal brain tissue. However, since the cerebral cortex is electrically connected to each other, pathological EEG and normal EEG tend to diffuse to each other, and it is not easy to distinguish due to the characteristics of epilepsy in that the production of pathological EEG is intermittent or sudden.

EEG (electroencephalogram) is a brain generated from the cerebral cortex of humans or animals (Patent Document 1) Patent Registration No. 10-0450758 (Registration Date September 20, 2004), "EEG Measurement Apparatus and Method", Korea Electronics and Telecommunications Research Institute

(Patent Document 2) Patent registration number 10-1704704 (Registration date: February 2, 2017), "Wireless transmission module for built-in EEG electrode and EEG detection system including the same", Kwangwoon University Industry-University Cooperation Foundation, Kim Nam-young

In order to solve the above problems, an object of the present invention is to transmit EEG signals detected from built-in or external EEG electrodes inside or outside the head to a wireless EEG receiving system (brain wave data analysis device) using Bluetooth or Wi-Fi. and the EEG analysis program installed in the wireless EEG receiving system outputs EEG waveforms of each EEG channel for each measurement time period. Internal/external EEG inside or outside the head for analyzing and diagnosing brain diseases, distinguishing EEG/normal EEG and displaying epileptic seizure locations and regions with abnormal EEG of each EEG channel on a 3D brain map A wireless transmission module coupled with the electrode is provided.

Another object of the present invention is to provide an EEG detection system including a wireless transmission module and built-in EEG electrodes.

In order to achieve the object of the present invention, a wireless transmission module, a wireless transmission module for internal or external internal and external EEG electrodes inside the head and an EEG detection system including the same, is provided to the brain outside the head or inside the head for epilepsy surgery treatment EEG electrodes are directly attached to the area to be tested on the surface of the cortex to detect brain waves, and the EEG connection terminal is connected to an individual transmission line that detects electrical signals of the brain waves from the area to be tested of the cerebral cortex inside the head or the outer surface of the head. , or an EEG data collection unit having a plurality of EEG electrode units for measuring EEG data outside the head; and a wireless transmission module connected to the EEG data collection unit through a transmission line and wirelessly transmitting EEG data measured from the plurality of EEG electrode units, and providing movement of the right hand/right foot and left hand/left foot to the 3D glasses wearer. an EEG detection system for detecting EEG signals of each EEG channel while viewing a 3D VR/AR image; and a wireless receiving module, an EEG data receiver, an EEG data control unit, an EEG data storage unit, and an EEG data output unit, equipped with an EEG analysis program and a 3D brain map program, receiving EEG signals of each EEG channel, and The EEG analysis program outputs EEG waveforms of each EEG channel for each time period measured, and according to the frequency band of EEG waveforms of each EEG channel, delta-δ waves (0.5 ~ 3.99 Hz) and theta-θ waves (4 ~ 7.99 Hz) Hz), alpha-α waves (8 ~ 12.99 Hz), beta-β waves (13 ~ 29.99 Hz), and gamma-γ waves (30 ~ 50 Hz), and store them in the database of the server of the computer analysis system , For AI-based EEG analysis of the EEG waveform of each EEG channel, it distinguishes abnormal EEG/normal EEG by EEG waveform of each EEG channel, and displays the epilepsy lesion location and region of the detected abnormal EEG on a 3D brain map. Including a wireless EEG receiving system,

The wireless EEG receiving system uses a PC, IoT device or embedded processor,

Stores EEG abnormal brain waves/normal brain waves for each classified EEG channel and EEG waveforms of each EEG channel for each measurement time period received from the wireless EEG receiving system, and stores brain wave analysis results in a client/server manner connected to a computer analysis system containing a database on the server;

The database of the computer analysis system stores EEG brain wave recording data for each patient, stores EEG signal wireless recording data through implanted electrodes according to the epilepsy model for each patient, classifies and analyzes EEG brain wave recording data, and records brain waves for each patient. Equipped with a 3D renderer that displays the location of brain lesions by 3D modeling for each EEG wave classified as alpha (α) wave, beta (β) wave, delta (δ) wave, theta (θ) wave, and gamma (γ) wave by time Display on brain map, save and output 3D brain map, CT image and medical image, quantitative analysis of epilepsy surgery site, location of epilepsy lesion, analysis of epilepsy surgery and symptoms by patient, analysis of clinical test results and symptoms, evaluation results And statistical information is stored and managed in the database.

The EEG detection system

a plurality of EEG electrode units; an EEG data collection unit connected to the plurality of EEG electrode units; an EEG data processing unit receiving the brain wave data of the area to be tested, which is measured through the plurality of EEG electrode units, through the brain wave data collection unit and converting them into sampling signals that can be wirelessly transmitted; and a wireless transmission module including a wireless transmission unit for wirelessly transmitting the sampling signal converted by the brain wave data processing unit.

Each of the plurality of EEG electrode parts,

A flexible substrate having electrical insulation; and

It includes a plurality of EEG connection terminals penetrating the flexible substrate and directly contacting the area to be inspected,

Each of the plurality of EEG connection terminal parts includes a protrusion protruding from the bottom surface of the flexible board to provide a sufficient contact area between the area to be inspected and the plurality of EEG connection terminal parts.

EEG data wirelessly transmitted from the wireless transmitting module is received by a wireless receiving module outside the EEG detection system and displayed through an EEG data output unit connected to the wireless receiving module.

The EEG detection system is connected to a headband-shaped fixing unit that can detachably fix each EEG electrode to the human body.

The EEG detection system is connected to a fixing part in the shape of a necklace or earphone that can be detachably fixed to the human body.

In example embodiments, the EEG data processing unit extracts a sampling signal from the EEG data collected from the EEG data collection unit, and modulates the sampling signal using a frequency shift demodulation scheme.

The flexible substrate is characterized in that it has a length in the range of 1 to 5cm.

In exemplary embodiments, each of the plurality of EEG electrode parts may include 16 n-fold EEG connection terminal parts to have 8, 16, 64, 128, and 256 EEG electrodes.

The present invention provides a wireless transmission module coupled with a built-in or external EEG electrode inside or outside the head for analyzing and diagnosing brain diseases and an EEG detection system for analyzing and diagnosing brain diseases including the same, the wireless transmission module EEG data detected from EEG electrodes attached to the inside and outside of the brain is transmitted to a wireless EEG receiving system (brain wave data analysis device) using Bluetooth or Wi-Fi, and the EEG analysis program installed in the wireless EEG receiving system measures the measurement time EEG waveforms of each EEG channel are output, and through AI-based EEG analysis of EEG waveforms of each EEG channel, abnormal EEG/normal EEG are distinguished by EEG waveform of each EEG channel, and epileptic seizures of brain disease patients Mark the starting position on the 3D brain map. The EEG detection system including a wireless transmission module detects brain waves for each EEG electrode channel using built-in or external EEG electrodes inside or outside the head while minimizing the risk of intracerebral edema or infection, and transmits them to a wireless EEG receiving system. For surgical treatment of diseases such as epilepsy in a computer analysis system, it is possible to accurately measure the epileptic seizure start position in the cerebral cortex and display and map it on a 3D brain map.

1 is a block diagram of an EEG detection system according to example embodiments.
Fig. 2 is a block circuit diagram illustrating an EEG detection system according to example embodiments.
Fig. 3 is a schematic diagram illustrating an EEG detection system according to example embodiments.
Fig. 4 is a schematic diagram illustrating an EEG detection system according to example embodiments.
Fig. 5 is a schematic diagram illustrating an EEG detection system according to example embodiments.
FIG. 6A is a plan view illustrating an EEG electrode unit according to exemplary embodiments, and FIG. 6B is a cross-sectional view taken along line 6B-6B' of FIG. 6A.
7 is a wireless EEG detection system.
8 is a diagram showing EEG measurement points inside or outside two cavities of a user wearing a wearable EEG headset.
9 shows delta-δ waves (0.5 to 3.99 Hz), theta-θ waves (4 to 7.99 Hz), alpha-α waves (8 to 12.99 Hz), beta-β waves (13 to 29.99 Hz), and gamma-γ This is a picture showing the EEG waveforms for each brainwave waveform classified as a wave (30 ~ 50 Hz).
10 is a diagram showing the final confirmation of a brain connection network using a brain signal as a matrix after analyzing EEG data of a patient with a brain disease.
11 is a picture expressed as a correction and supplemented matrix for neural network confirmation and neurocognitive disorder diagnosis of brain disease patients through AI-based EEG analysis.

In order to explain the configuration and effects of the present invention, preferred embodiments of the present invention will be described with reference to the accompanying drawings. In the description of the present invention, if it is determined that a detailed description of a related known technology or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted. In addition, drawing numbers are assigned the same drawing numbers in different drawings when indicating the same configuration.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of an EEG detection system 10 according to example embodiments.

The EEG detection system 10 may include an EEG data collection unit 20 and a wireless transmission module 30 .

In an exemplary embodiment, the EEG data collection unit 20 may be an EEG electrode including a plurality of channels. The EEG data collection unit 20 uses, for example, multi-channel EEG electrodes of any one of 8 channels, 16 channels, 32 channels, 64 channels, 128 channels, and 256 channels, and the number of EEG electrode channels is necessary. is not limited In exemplary embodiments, each of the plurality of EEG electrode parts includes 16 n-fold EEG connection terminal parts, such as 8 EEG electrodes, 16, 32, 64, 128, and 256 EEG electrodes. can include Each EEG channel of the EEG electrode is attached to the surface of the cerebral cortex outside the head (EEG electrode) or inside the head (ECoG electrode), and collects brain currents induced in each cortex outside the head or inside the head.

The wireless transmission module 30 receives EEG data collected from the EEG data collector 20 through each EEG electrode channel and transmits the EEG data in a wireless transmission method. The wireless transmission module 30 includes an EEG data processing unit 32 and an EEG data wireless transmission unit 34 .

In embodiments, the EEG data processing unit 32 may be a data encryption device or a data compression device for encrypting or compressing EEG data transmitted from the EEG data collection unit 20 . For example, the EEG data processor 32 may convert EEG data transmitted from the EEG data collector 20 into a sampling signal. Thereafter, the sampling signal may be shift-modulated into a plurality of signals having different frequencies using a frequency-shift keying (FSK) method. When the EEG data processing unit 32 modulates the EEG data by, for example, the FSK method, the error rate in the wireless signal transmission process can be reduced, and the signal-to-noise ratio (SNR) can be significantly improved. can rise

In other embodiments, the EEG data processor 32 may be a data storage device or data storage space that temporarily stores EEG data transmitted from the EEG data collector 20 . In particular, after the EEG data processing unit 32 modulates the EEG data by, for example, the FSK method, the EEG data processing unit 32 may store the data again.

The brain wave data wireless transmission unit 34 may transmit the brain wave data modulated or stored in the brain wave data processing unit 32 to the wireless reception module 60 in a wireless transmission method. In exemplary embodiments, the EEG data wireless transmitter 34 may be a Bluetooth wireless transmitter. In other embodiments, the EEG data wireless transmitter 34 may be a Wi-Fi wireless transmitter. However, the technical spirit of the present invention is not limited thereto, and if short-distance wireless transmission within 10 m is possible, other wireless data transmission methods may be used using the LoRF wireless communication unit, NB-IoT communication unit, and RF communication unit. In exemplary embodiments, the EEG data wireless transmitter 34 further includes a transmit antenna (not shown).

EEG data transmitted from the EEG data wireless transmission unit 34 may be transferred to the wireless reception module 60 existing outside the EEG detection system 10 . The wireless reception module 60 may include an EEG data wireless reception unit 62 and an EEG data analysis control unit 64 .

In exemplary embodiments, the EEG data wireless receiver 62 uses a Wi-Fi or Bluetooth wireless receiver. For example, the EEG data wireless receiving unit 62 may further include a receiving antenna, and may receive EEG data transmitted from the EEG data wireless transmitting unit 34 through the receiving antenna.

The EEG data analysis control unit 64 may further include a signal amplifier, a frequency filtering unit, a demodulator, a decoder, and the like. The EEG data analysis control unit 64 may amplify or enlarge the signal of the EEG data received from the EEG data wireless receiver 62, and perform filtering of the signal of the EEG data. In addition, a sampling signal of EEG data encrypted or compressed by, for example, an FSK method may be extracted using the demodulator and/or the decoder. Thereafter, the EEG data analysis controller 64 may restore EEG data from the sampling signal by digital-to-analog (DA) conversion. Although not shown, the brain wave data analysis controller 64 may further include an additional brain wave data storage unit, and the restored brain wave data may be stored in the brain wave data storage unit.

The EEG data output unit 70 may be an output device that outputs the restored EEG data as visual information through a display device such as a monitor or LCD display connected to the EEG data analysis control unit.

According to the EEG detection system 10 according to the present invention, EEG data collected by the brain wave data collection unit 20 is transmitted from the wireless transmission module 30 to the wireless reception module 60 outside the EEG detection system 10 do. Therefore, even if the number (density) of EEG electrodes is increased, compared to the case of transmitting EEG data measured from EEG electrodes to an external data collection/analysis device through wired connection transmission lines connected to the EEG electrodes. The risk of intracerebral edema or infection due to an increase in the density of the connection transmission lines can be prevented. The EEG detection system 10 detects brain waves for each EEG electrode channel inside or outside the head, transmits them to a wireless EEG receiving system, and has a server and database for storing brain wave waveforms and brain wave analysis results for each EEG electrode channel. Together with the computer analysis system, it is possible to accurately measure the epileptic seizure start position in the cerebral cortex and display and map it on a 3D brain map for surgical treatment of diseases such as epilepsy.

2 is a block circuit diagram illustrating an EEG detection system 10 according to exemplary embodiments. The block circuit diagram according to FIG. 2 may be a block circuit diagram showing a detailed configuration of the EEG detection system 10 described with reference to FIG. 1 .

Referring to FIG. 2 , the EEG data collection unit 20 may include EEG electrodes including a total of 192 channels. Specifically, the EEG data collection unit 20 includes three sub-terminals each including 64 channels. may consist of Since a total of 192 EEG data is collected from the EEG electrode terminals (EEG electrode channels) including a total of 192 channels, the transmission device included in the wireless transmission module 30 is a high-speed microprocessor (Master MPU-64) may be included. Although FIG. 2 shows a total of 192 channels of EEG electrodes, in an embodiment of the present invention, the number of EEG electrodes is not limited to 192 channels.

EEG analysis can precisely and accurately map the epileptic seizure start position on the cortical surface as the number of channels of EEG electrodes increases. That is, as the number of channels of the EEG electrode increases, precise EEG brain wave analysis is possible. However, as the number of channels of the EEG electrodes increases, the distance between the electrode terminals of the EEG electrodes may decrease, and thus interference between EEG data obtained from each of the electrode terminals of the EEG electrodes or an electrical short between the electrode terminals may occur. may occur Therefore, the number of channels of the EEG electrode needs to be determined as an appropriate value.

In exemplary embodiments, a sampling signal may be obtained with a sampling frequency of 2,000 Hz from collected EEG data, but the present invention does not limit the EEG sampling frequency to 2,000 Hz. If the sampling frequency of the EEG data is too high, the transmission speed of the EEG data may decrease due to an increase in the amount of data information to be transmitted through the wireless transmitter. On the other hand, if the sampling frequency of the EEG data is too small, the deviation between the EEG data restored by the wireless receiving module 60 and the first EEG data received from the EEG data collection unit 20 may increase, and thus the restored EEG data. The distortion of data may occur, and thus the precision of EEG data analysis may deteriorate. Therefore, the sampling frequency of EEG data needs to be determined as an appropriate value.

3 is a schematic diagram illustrating an EEG detection system 10A according to exemplary embodiments.

Referring to FIG. 3 , the EEG detection system 10A may include an EEG data collection unit 20A, a transmission line 22 and a wireless transmission module 30A.

The EEG data collection unit 20A may include a plurality of EEG electrode units 21 . The EEG electrode unit 21 may be, for example, an EEG electrode including 16 channels, 32 channels, or 64 channels. For example, the EEG data collection unit 20A may be composed of three EEG electrode units 21 including 64 channels to provide an EEG data collection unit 20A having a total of 192 channels. Unlike this, the EEG data collection unit 20A is composed of two EEG electrode units 21 including 32 channels and two EEG electrode units 21 including 64 channels, and has a total of 192 channels. (20A) can be provided. However, the technical spirit of the present invention is not limited thereto. An exemplary configuration of the EEG electrode unit 21 will be described in detail with reference to FIGS. 6A and 6B.

In exemplary embodiments, the plurality of EEG electrode parts 21 may be directly attached on the surface of the cerebral cortex so as to be spaced apart from each other, and EEG signals are transmitted from a large area on the surface of the cerebral cortex from the plurality of EEG electrode parts 21. can be detected. A plurality of EEG electrode units 21 may be injected into the inside of the skull from a skull cut for cerebral surgery and attached to the surface of the cerebral cortex. Accordingly, intracerebral EEG electrodes may be provided.

The transmission line 22 may provide an electrical connection from the EEG data collection unit 20A to the wireless transmission module 30A, and transmit EEG data measured from the EEG data collection unit 20A to the wireless transmission module 30A. . The transmission line 22 may be a collection of individual transmission lines (not shown) from the plurality of EEG electrode parts 21 . Although one transmission line 22 is illustrated as an example in FIG. 3 , two or more transmission lines 22 may be connected to the plurality of EEG electrode units 21 .

The wireless transmission module 30A is connected to the transmission line 22 and can transmit EEG data measured by the EEG data collection unit 20A to an external computer using wireless communication. The wireless transmission module 30A may transmit EEG data or use wireless communication in a short to medium distance of about 10 m or more. Therefore, there is no need to extend connection lines from the wireless transmission module 30A to an external EEG data analysis device (not shown).

In general, in the course of surgical treatment of epilepsy, EEG electrodes are attached to the area to be tested of the cerebral cortex through an opening in the skull, and the EEG electrodes and the EEG data analysis device are electrically connected with a connection line. In order to accurately map the start position of an epileptic seizure in the area to be tested, EEG data is generally continuously measured for about 3 to 10 days. However, when the EEG electrodes are connected to the EEG data analysis device through a connection line, the subject's behavior may be restricted in the process of mapping the seizure start location, and there is also a risk of intracerebral edema or infection due to inevitable movement caused by seizures. also exists In addition, it is difficult to arrange the EEG electrodes and connection lines during the surgical procedure, and there is also a risk of intracerebral edema or infection of the subject.

However, according to the EEG detection system 10A according to the present invention, there is no need to transmit data through a connection line to the EEG data measuring device, and since the EEG data is reliably transmitted by the wireless transmission module, the risk of edema or infection within the brain of the test subject is reduced. can be prevented In addition, since the EEG detection system can increase the number of channels of the EEG electrode unit, the epileptic seizure start position can be precisely mapped.

4 is a schematic diagram illustrating an EEG detection system 10B according to exemplary embodiments.

Referring to FIG. 4 , the EEG detection system 10B may further include a fixing unit 40 attached to the wireless transmission module 30A. In exemplary embodiments, the fixing part 40 may have a headband shape. However, the technical spirit of the present invention is not limited thereto. If the fixing part 40 can be detachably fixed to the human body, it can be formed in various shapes. According to FIG. 4 , the fixing part 40 in the shape of a head band or hair band is attached to the wireless transmission module 30A, so that the wireless transmission module 30A can be stably fixed on the forehead or side of the head of the subject. In particular, since the wireless transmission module 30A can be stably fixed at a position adjacent to the skull cutting part for cerebral surgery, the EEG electrode unit 21 is separated or separated from the area to be tested by the subject's conscious or unconscious behavior. that can be prevented.

5 is a schematic diagram illustrating an EEG detection system 10C according to exemplary embodiments.

Referring to FIG. 5 , the EEG detection system 10C may further include a fixing unit 40A attached to the wireless transmission module 30A. In exemplary embodiments, the fixing part 40A may have an ear-ear type earphone shape or a clip type earphone shape. On the fixing portion (40A) However, the technical spirit of the present invention is not limited to this. The fixing part 40A may be formed in various shapes as long as it can be detachably fixed to the human body. According to FIG. 5 , the clip-type earphone-shaped fixing part 40A is attached to the wireless transmission module 30A, so that the wireless transmission module 30A can be stably fixed around the ear of the test subject. In particular, since the wireless transmission module 30A can be stably fixed at a position adjacent to the skull cutting part for cerebral surgery, the EEG electrode unit 21 is separated or separated from the area to be tested by the subject's conscious or unconscious behavior. that can be prevented.

Although not shown, the fixing part 40A may be in the form of a necklace so that it can be detachably attached to the neck adjacent to the skull cutting part for cerebral surgery. However, the shape of the wireless transmission module 30A and the connection configuration between the wireless transmission module 30A and the fixing unit are not limited thereto, and may be formed to have various shapes and connection configurations.

FIG. 6A is a plan view illustrating an EEG electrode unit 21A according to exemplary embodiments, and FIG. 6B is a cross-sectional view taken along line 6B-6B' of FIG. 6A.

Referring to FIGS. 6A and 6B , the EEG electrode unit 21A may include a flexible substrate 110 , an EEG connection terminal unit 120 and an individual transmission line 130 .

The flexible substrate 110 may be a flexible substrate having electrical insulation properties. In example embodiments, the flexible substrate 110 may include silicone resin, polyimide, PET, PDMS, and the like.

In example embodiments, the flexible substrate 110 may have a length ranging from 1 cm to 5 cm. In the course of cerebral surgery for surgical treatment of epilepsy, a skull cutout with a diameter of 0.5 cm is formed, and a flexible substrate 110 is injected into the skull through the skull cutout and attached to the area to be tested on the surface of the cerebral cortex. It can be. Therefore, when the length of the flexible substrate 110 is too long, it is difficult to adhere conformally to the upper surface of the cerebral cortex having an uneven upper surface. In addition, when the length of the flexible substrate 110 is too long, the EEG connection terminals 120 formed on the flexible substrate 110 are easily separated from the upper part of the cerebral cortex due to the resilience of the bent flexible substrate 110, It may not be easy to reliably detect EEG data from the EEG connection terminals 120 . If the length of the flexible substrate 110 is too short, the EEG connection terminal 120, that is, the number of EEG electrode channels included in one EEG electrode portion 21A in the skull cutout decreases, so that the EEG electrode to be attached on the area to be tested is reduced. The number of sections 21A may be increased and accordingly the number of transmission lines 22 may also be increased.

In the flexible substrate 110, a plurality of EEG connection terminals 120 may be spaced apart from each other. The plurality of EEG connection terminals 120 are connected to individual transmission lines 130 and are attached to a region to be tested of the cerebral cortex to be used as detection pads for detecting electrical signals of brain waves from the region to be tested.

The EEG connection terminal portion 120 is formed to pass through the flexible substrate 110, and a protrusion 120P protruding from the bottom surface of the flexible substrate 110 may be formed at the bottom of the EEG connection terminal portion 120. A sufficient contact area between the cerebral cortical surface inside the head and the EEG connection terminal 120 can be provided by the protrusion 120P of the EEG connection terminal 120, and the EEG connection terminal 120 is separated from the cerebral cortical surface. Distortion or loss of EEG data that may occur in the case of insufficient contact can be prevented.

6A and 6B illustratively illustrates a 16-channel EEG electrode unit 21A in which 16 EEG connection terminal units 120 are formed. However, the technical spirit of the present invention is not limited thereto. The EEG connection terminal unit 120 includes 8 EEG electrodes, 16, 32, 64, 128, 256 EEG electrodes, etc. 16 n-fold EEG connection terminals EEG connection terminal 120 composed of 8 channels. , 16-channel, 32-channel, 64-channel, 128-channel, or 256-channel EEG connection terminals 120 of n times 16 channels, such as EEG electrodes.

7 is a wireless EEG detection system.

8 is a diagram showing EEG measurement points inside or outside two cavities of a user wearing a wearable EEG headset.

9 shows delta-δ waves (0.5 to 3.99 Hz), theta-θ waves (4 to 7.99 Hz), alpha-α waves (8 to 12.99 Hz), beta-β waves (13 to 29.99 Hz), and gamma-γ This is a picture showing the EEG waveforms for each brainwave waveform classified as a wave (30 ~ 50 Hz).

10 is a diagram showing the final confirmation of a brain connection network using a brain signal as a matrix after analyzing EEG data of a patient with a brain disease.

11 is a picture expressed as a correction and supplemented matrix for neural network confirmation and neurocognitive disorder diagnosis of brain disease patients through AI-based EEG analysis.

A wireless transmission module for internal and external EEG electrodes outside the head or inside the head according to the present invention and an EEG detection system including the same

For the surgical treatment of epilepsy, EEG electrodes are attached directly to the area to be tested on the surface of the cerebral cortex outside the head or inside the head to detect the brain wave, and the electrical signal of the brain wave is detected from the area to be tested of the cerebral cortex inside the head or the outer surface of the head. an EEG connection terminal connected to an individual transmission line for detecting signals, or an EEG data collection unit having a plurality of EEG electrode units for measuring EEG data outside the head; and a wireless transmission module connected to the EEG data collection unit through a transmission line and wirelessly transmitting EEG data measured from the plurality of EEG electrode units, wherein the wearer wears 3D glasses (eg, shutter glasses or polarization filter glasses). ), an EEG detection system for detecting EEG signals of each EEG channel while the 3D glasses wearer watches a 3D VR/AR image providing right hand/right foot and left/left foot movements; and

A wireless receiving module, an EEG data receiving unit, an EEG data control unit, an EEG data storage unit, and an EEG data output unit are provided, and a 3D brain map program including an EEG analysis program (client) and a 3D renderer is installed, and each EEG channel The EEG signal is received, and the EEG waveform of each EEG channel is output for each measurement time period by the EEG analysis program (client), and the delta-δ wave (0.5 ~ 3.99 Hz) is classified according to the frequency band of the EEG waveform of each EEG channel. ), theta-θ waves (4 ~ 7.99 Hz), alpha-α waves (8 ~ 12.99 Hz), beta-β waves (13 ~ 29.99 Hz), and gamma-γ waves (30 ~ 50 Hz), which are It is stored in the database of the server of the computer analysis system, and in conjunction with this, for AI-based EEG analysis of the EEG waveform of each EEG channel, abnormal EEG/normal EEG are classified for each EEG waveform, and the detected abnormal EEG It includes a wireless EEG receiving system that renders and displays epilepsy lesion locations and regions on a 3D brain map,

The wireless EEG receiving system uses a PC, IoT device or embedded processor,

Stores EEG abnormal brain waves/normal brain waves for each classified EEG channel and EEG waveforms of each EEG channel for each measurement time period received from the wireless EEG receiving system, and stores brain wave analysis results in a client/server manner connected to a computer analysis system containing a database on the server;

The database of the computer analysis system stores EEG brain wave recording data for each patient, stores EEG signal wireless recording data through implanted electrodes according to the epilepsy model for each patient, classifies and analyzes EEG brain wave recording data, and records brain waves for each patient. Equipped with a 3D renderer that displays the location of brain lesions by 3D modeling for each EEG wave classified as alpha (α) wave, beta (β) wave, delta (δ) wave, theta (θ) wave, and gamma (γ) wave by time Display on brain map, save and output 3D brain map, CT image and medical image, quantitative analysis of epilepsy surgery site, location of epilepsy lesion, analysis of epilepsy surgery and symptoms by patient, analysis of clinical test results and symptoms, evaluation results And statistical information is stored and managed in the database.

For example, 3D glasses use shutter glasses or polarization filter glasses.

The EEG detection system 10 uses a wearable EEG headset having a plurality of EEG electrodes, an EEG data collection unit 20, and a wireless transmission module 30. The wireless transmission module 30 includes an EEG data processing unit 32 and an EEG data wireless transmission unit 34 .

The EEG detection system 10 includes an EEG connection terminal unit 120 having 8, 16, 32, 64, 128 or 256 EEG connection terminal units 120 attached to the cerebral cortex inside the head; An EEG headset in the form of a headband worn around the forehead having a plurality of EEG electrodes outside the head, a wearable EEG headset in the form of a headset covering the outside of the head, or a wearable EEG headset in the form of a wrapping cloth covering the outside of the head is used.

The wireless EEG receiving system having the wireless receiving module 60 and the brain wave data output unit 70 uses a PC, IoT device or embedded processor,

The wireless EEG reception system includes a wireless reception module 60, an EEG data output unit 70 in which an EEG analysis program and a 3D brain map program are installed. The wireless receiving module 60 includes an EEG data wireless receiving unit 62, a control unit, an EEG data storage unit, and an EEG data analysis control unit 64.

The wearer wears an EEG detection system (wearable EEG headset) and 3D glasses (e.g., shutter glasses, or polarizing filter glasses) on the head, and while viewing 3D VR/AR images that provide right/right foot and left/left foot movements, each EEG signal of each EEG channel is transmitted from the EEG detection system (wearable EEG headset) that detects the EEG signal of the EEG channel to the wireless EEG receiving system;

The wireless EEG receiving system receives the EEG signal of each EEG channel, has an EEG analysis program and a 3D brain map program, outputs the EEG waveform of each EEG channel for each measurement time period by the EEG analysis program, and provides delta-δ wave (0.5 ~ 3.99 Hz), theta-θ wave (4 ~ 7.99 Hz), alpha-α wave (8 ~ 12.99 Hz), beta-β wave (13 ~ 29.99 Hz), gamma-γ wave (30 ~ 50 Hz) ), classifies abnormal EEG/normal EEG by EEG waveform of each classified EEG channel, stores it in the database of the server of the computer analysis system, and analyzes EEG based on EEG by EEG waveform of each EEG channel. It distinguishes abnormal EEG/normal EEG and stores them in the database of the server, and in conjunction with the server, displays the epileptic lesion location and region of the abnormal EEG detected by the client/server method on a 3D brain map. It is used to apply nerve stimulation treatment to the location and area of the brain lesion (right hand-left brain or left hand-right brain) in the brain corresponding to the paralyzed body.

The EEG detection system 10

a plurality of EEG electrode units;

an EEG data collection unit 30 connected to the plurality of EEG electrode units;

an EEG data processing unit 32 that receives the EEG data of the area to be tested measured through the plurality of EEG electrode units through the EEG data collection unit 20 and converts it into a sampling signal capable of wireless transmission; and

and a wireless transmission module 30 including an EEG data wireless transmission unit 34 wirelessly transmitting the sampling signal converted by the brain wave data processing unit.

Each of the plurality of EEG electrode parts,

A flexible substrate having electrical insulation; and

It includes a plurality of EEG connection terminals penetrating the flexible substrate and directly contacting the area to be inspected,

Each of the plurality of EEG connection terminal parts includes a protrusion protruding from the bottom surface of the flexible board to provide a sufficient contact area between the area to be inspected and the plurality of EEG connection terminal parts.

EEG data wirelessly transmitted from the wireless transmitting module is received by a wireless receiving module outside the EEG detection system and displayed through an EEG data output unit connected to the wireless receiving module.

The EEG detection system is connected to, for example, a headband-shaped fixing unit that can detachably fix each EEG electrode to the human body.

The EEG detection system may also be connected to a necklace or earphone-shaped fixing unit that can be detachably fixed to the human body.

In example embodiments, the EEG data processing unit extracts a sampling signal from the EEG data collected from the EEG data collection unit, and modulates the sampling signal using a frequency shift demodulation (FSK) scheme.

The flexible substrate has a length ranging from 1 to 5 cm.

In exemplary embodiments, each of the plurality of EEG electrode parts may include 16 n-fold EEG connection terminal parts to have 8, 16, 64, 128, and 256 EEG electrodes.

The wireless EEG receiving system including the wireless receiving module 60 and the brain wave data output unit 70 includes a wireless brain wave data receiving unit, an brain wave data storage unit, an brain wave data analysis control unit, and an brain wave data output unit, and includes a PC, IoT device or embedded A processor is used, an brain wave analysis program (cilent) and a 3D brain map program are installed, and the brain wave analysis program installed in the wireless EEG receiving system is connected to a computer analysis system including a database of a server in a client/server manner. do. The database of the server stores EEG EEG recording data for each patient, stores EEG signal wireless recording data through implanted electrodes according to the epilepsy model for each patient, classifies and analyzes EEG EEG recording data, and analyzes EEG recording data for each patient's EEG recording time. A 3D renderer that displays the location of brain lesions by 3D modeling for each EEG waveform classified as alpha (α) wave, beta (β) wave, delta (δ) wave, theta (θ) wave, and gamma (γ) wave for each EEG electrode channel to display on a 3D brain map, save and output 3D brain maps, CT images and medical images, quantitative analysis of epilepsy surgery sites, location of brain lesions, analysis of epilepsy surgery and symptoms by patient, analysis of clinical test results and symptoms , evaluation results and statistical information are stored and managed in the database of the server.

In the case of cranial nerve treatment according to deep brain stimulation, when stimulation is given to the location and area of the brain lesion, not only epilepsy (epilepsy) but also Lou Gehrig's disease is treated, and sensory recovery such as touch and smell is predicted through activation of the cerebral cortex, and Alzheimer's type Dementia, Parkinson's disease, Harrison's disease, epilepsy (epilepsy), stroke (cerebral infarction, cerebral hemorrhage), nerve treatment of brain lesions corresponding to the body paralyzed by brain disease of paraplegic patients due to brain disease (right-left brain, left hand) -Right brain), can be used in the medical field.

Many wearable EEG headsets worn on the head with 3D glasses (e.g. shutter glasses, polarized filter glasses) to treat Alzheimer's disease, Parkinson's disease, Harrison's, epilepsy (epilepsy), stroke (cerebral infarction, cerebral hemorrhage) EEG signals detected from the EEG electrodes are transmitted to a user terminal (wireless EEG receiving system) through wired/wireless communication (cable, Bluetooth, or Wi-Fi), and the user terminal (wireless EEG receiving system) has multiple EEG electrode channels. It outputs the frequency spectrum of the EEG waveform for each EEG electrode, and in conjunction with the database of the server, spatio-temporal pattern analysis of the brain wave pattern is performed to determine the location and region of the brain lesion where the abnormal EEG was detected on the 3D brain map. and display it on a 3D brain map.

For reference, a stroke is classified into cerebral infarction, in which cerebral blood vessels are blocked, and cerebral hemorrhage, in which cerebral blood vessels burst.

Suspected stroke symptoms include hemiparesis in which one limb is paralyzed, dysarthria with abnormal pronunciation, speech difficulties, facial and nasal congestion, and symptoms such as sudden blindness in one eye or unbalanced body.

For example, according to a research paper on spatio-temporal pattern analysis of brain waves of patients with Alzheimer's disease, it is implied that the pathophysiological location of patients with Alzheimer's disease is mainly in the left parietal region and temporal lobe.

For reference, as suggested in the existing patent, when a stimulation control signal is transmitted from a user terminal (EEG measurement and stimulation control system) to a wearable EEG headset to stimulate the location of a specific brain lesion area where abnormal brain waves are detected according to deep brain stimulation, The wearable EEG headset performs nerve stimulation treatment on the location and area of the epilepsy lesion for cranial nerve treatment.

The wearable EEG headset works in conjunction with a computer system through wired/wireless communication to treat the location and area of epilepsy lesions where abnormal brain waves occur by 1) optical signal stimulation, 2) electrical stimulation, or 3) RF frequency stimulation.

A wearer of 3D glasses wears an EEG detection system (wearable EEG headset) and while watching a 3D VR/AR movie, he or she can receive cranial nerve treatment by stimulating the location and region of the epilepsy lesion in the right-left brain or left-right brain.

1) Optical signal stimulation - 400 ~ 600 nm wavelength blue LED light signal stimulation

2) Electrical stimulation - 0.01 ~ 0.001 mA microcurrent stimulation

3) RF frequency stimulation - RF frequency stimulation in the range of 1~200Hz to the corresponding part of the brain

We collect and analyze the EEG electrode channels of paraplegic patients with Alzheimer's disease, Parkinson's disease, Harrison's disease, epilepsy (epilepsy) or stroke (cerebral infarction, cerebral hemorrhage), and specific epileptic lesions where abnormal brain waves are detected on the 3D brain map Regarding location and area, according to deep brain stimulation while watching a 3D movie, cranial nerve treatment became possible by 1) optical signal stimulation, 2) electrical stimulation, or 3) RF frequency stimulation of the corresponding part of the brain lesion.

For example, when stimulating parts of the brain of a paraplegic patient (right hand/right foot paralysis) due to dementia, when a 3D glasses wearer watches a 3D VR/AR movie in which the right hand or right foot moves, an EEG detection system (wearable EEG EEG signal of each EEG electrode channel is transmitted from the user terminal (wireless EEG receiving system) to the user terminal (wireless EEG receiving system), and the stimulation control signal is transmitted from the user terminal (wireless EEG receiving system) to the EEG detection system (wearable EEG headset) to the brain lesion area. is transmitted so that the wearable EEG headset applies stimulation to the part of the paralyzed brain lesion corresponding to the right hand/right foot to treat the cranial nerve.

It is used for the treatment of Alzheimer's disease, Parkinson's disease, Harrison's disease, epilepsy (epilepsy), stroke (cerebral infarction, cerebral hemorrhage), and cranial nerve treatment of paraplegic patients due to brain disease.

Implementation software of the embodiments according to the present invention is implemented in the form of program instructions that can be executed by various computer means, and can be recorded on a computer-readable recording medium. The computer readable recording medium may include program instructions, data files, and data structures alone or in combination. Computer-readable recording media include storage, hard disks, magnetic media such as floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - A hardware device configured to store and execute program instructions in storage media such as magneto-optical media, ROM, RAM, flash memory, etc. may be included. Examples of program instructions may include those produced by a compiler, machine language codes as well as high-level language codes that can be executed by a computer using an interpreter. The hardware device may be configured to operate as one or more software modules to perform the operations of the present invention.

The method of the present invention is implemented as a program and can be stored in a recording medium (CD-ROM, RAM, ROM, memory card, hard disk, magneto-optical disk, storage device, etc.) in a readable form using computer software. .

As described above, the present invention has been described in detail with preferred embodiments, but the present invention is not limited to the above embodiments, and to those skilled in the art within the technical spirit and scope of the present invention Various modifications and changes are possible.

10: EEG detection system 20: EEG data collection unit
21: EEG electrode part 22: transmission line
30: wireless transmission module 32: EEG data processor
34: EEG data wireless transmitter 40: fixing unit
60: wireless receiving module 62: brain wave data wireless receiving unit
63: EEG data storage unit 64: EEG data analysis control unit
70: brain wave data output unit 110: flexible substrate
120: EEG connection terminal unit 130: individual transmission line

Claims (9)

For the surgical treatment of epilepsy, EEG electrodes are attached directly to the area to be tested on the surface of the cerebral cortex outside the head or inside the head to detect the brain wave, and the electrical signal of the brain wave is detected from the area to be tested of the cerebral cortex inside the head or the outer surface of the head. an EEG connection terminal connected to an individual transmission line for detecting signals, or an EEG data collection unit having a plurality of EEG electrode units for measuring EEG data outside the head; and a wireless transmission module connected to the EEG data collection unit through a transmission line and wirelessly transmitting EEG data measured from the plurality of EEG electrode units, and providing movement of the right hand/right foot and left hand/left foot to the 3D glasses wearer. an EEG detection system for detecting EEG signals of each EEG channel while viewing a 3D VR/AR image; and
A wireless receiving module, an EEG data receiving unit, an EEG data control unit, an EEG data storage unit, and an EEG data output unit are provided, and an EEG analysis program and a 3D brain map program are provided, and EEG signals of each EEG channel are received, and the EEG data output unit is provided. The analysis program outputs the EEG waveform of each EEG channel for each measurement time period, and by classifying the frequency band of the EEG waveform of each EEG channel, delta-δ waves (0.5 ~ 3.99 Hz) and theta-θ waves (4 ~ 7.99 Hz) Hz), alpha-α waves (8 ~ 12.99 Hz), beta-β waves (13 ~ 29.99 Hz), and gamma-γ waves (30 ~ 50 Hz), and store them in the database of the server of the computer analysis system. , For AI-based EEG analysis, a wireless EEG receiving system that distinguishes abnormal EEG/normal EEG by EEG waveform of each EEG channel and displays the epileptic lesion location and region of the detected abnormal EEG on a 3D brain map,
The wireless EEG receiving system uses a PC, IoT device or embedded processor,
Stores EEG abnormal brain waves/normal brain waves for each classified EEG channel and EEG waveforms of each EEG channel for each measurement time period received from the wireless EEG receiving system, and stores brain wave analysis results in a client/server manner connected to a computer analysis system containing a database on the server;
The database of the computer analysis system stores EEG brain wave recording data for each patient, stores EEG signal wireless recording data through implanted electrodes according to the epilepsy model for each patient, classifies and analyzes EEG brain wave recording data, and records brain waves for each patient. Equipped with a 3D renderer that displays the location of brain lesions by 3D modeling for each EEG wave classified as alpha (α) wave, beta (β) wave, delta (δ) wave, theta (θ) wave, and gamma (γ) wave by time Display on brain map, save and output 3D brain map, CT image and medical image, quantitative analysis of epilepsy surgery site, location of epilepsy lesion, analysis of epilepsy surgery and symptoms by patient, analysis of clinical test results and symptoms, evaluation results and a wireless transmission module for internal/external EEG electrodes inside or outside the head, which stores and manages statistical information in the database, and an EEG detection system including the same. According to claim 1,
The EEG detection system
a plurality of EEG electrode units;
an EEG data collection unit connected to the plurality of EEG electrode units;
an EEG data processing unit receiving EEG data of the area to be tested measured through the plurality of EEG electrode units through the EEG data collecting unit and converting the EEG data into sampling signals that can be wirelessly transmitted; and
A wireless transmission module for internal and external EEG electrodes inside or outside the head including a wireless transmission module including a wireless transmission unit for transmitting the EEG data converted by the EEG data processing unit, and an EEG detection system including the same. According to claim 2,
Each of the plurality of EEG electrode parts,
A flexible substrate having electrical insulation, and
It includes a plurality of EEG connection terminals penetrating the flexible substrate and directly contacting the area to be inspected,
Each of the plurality of EEG connection terminals includes a protruding portion protruding from the bottom surface of the flexible substrate to provide a sufficient contact area between the area to be tested and the plurality of EEG connection terminals. A wireless transmission module for EEG electrodes and an EEG detection system including the same. According to claim 2,
EEG data wirelessly transmitted from the wireless transmitting module is received by a wireless receiving module outside the EEG detection system, and is displayed through an EEG data output unit connected to the wireless receiving module. A transmission module and an EEG detection system including the same. According to claim 1,
The EEG detection system is a wireless transmission module for internal and external EEG electrodes inside the head or outside the head, in which each EEG electrode is connected to a headband-shaped fixing part that can be detachably fixed to the human body, and an EEG detection system including the same. According to claim 5,
The EEG detection system is a wireless transmission module for internal and external EEG electrodes inside or outside the head, connected to a necklace or earphone-shaped fixing unit that can be detachably fixed to the human body, and an EEG detection system including the same. According to claim 2,
The brain wave data processing unit extracts a sampling signal from the brain wave data collected from the brain wave data collection unit, and modulates the sampling signal by frequency shift demodulation. EEG detection system including. According to claim 3,
The flexible substrate has a length in the range of 1 to 5 cm. A wireless transmission module for internal and external EEG electrodes inside the head or outside the head, and an EEG detection system including the same. According to claim 2,
Each of the plurality of EEG electrode parts includes 8 EEG electrodes, 16 n-fold EEG connection terminal parts to have 16, 64, 128, and 256 EEG electrodes. A wireless transmission module for EEG electrodes and an EEG detection system including the same.

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