KR101737930B1 - System and method for recording and visualization of social interactions and behaviors using wireless brain signal recording system - Google Patents

System and method for recording and visualization of social interactions and behaviors using wireless brain signal recording system Download PDF

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KR101737930B1
KR101737930B1 KR1020150164749A KR20150164749A KR101737930B1 KR 101737930 B1 KR101737930 B1 KR 101737930B1 KR 1020150164749 A KR1020150164749 A KR 1020150164749A KR 20150164749 A KR20150164749 A KR 20150164749A KR 101737930 B1 KR101737930 B1 KR 101737930B1
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South Korea
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eeg
signal
brain
frequency band
unit
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KR1020150164749A
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Korean (ko)
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최지현
정영인하
송윤규
장정우
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한국과학기술연구원
서울대학교산학협력단
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    • A61B5/0476
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006ECG or EEG signals
    • A61B5/0478
    • A61B5/048
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/725Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/742Details of notification to user or communication with user or patient ; user input means using visual displays

Abstract

A signal processing unit for generating a first EEG signal corresponding to a predetermined frequency band based on the EEG measured by the electrode unit, a signal processing unit for generating a first EEG signal corresponding to a predetermined frequency band based on the first EEG signal, A visualization unit for visually displaying the state of the brain and a wireless communication unit for transmitting the brain wave or the first brain wave signal to an external apparatus using wireless communication.

Description

FIELD OF THE INVENTION [0001] The present invention relates to an apparatus and method for analyzing brain waves,
The present invention relates to an apparatus and method for analyzing EEG, and more particularly, to an EEG analyzing apparatus and method for analyzing a correlation between an object and a cluster, ≪ / RTI >
Technological applications include neuroscience, complex science, and ecology. The present invention is designed to measure the EEG separately measured and analyzed in a cluster, and experimentally analyzes the reaction and the state when the cluster to which the objects mounted on the head belongs is placed in various situations It does.
To analyze brain waves in real time, there must be an electronic module and a visualizer that processes the data obtained. Since the electronic module is in contact with the brain, it should be designed with ultra low power and low noise. The measured EEG is divided into frequency zones and regions, and signal processing is performed to transmit and visualize EEG characteristics in real time. It provides a tool to study brain activity in mammalian group behavior, social activities and social psychology.
US Patent Publication No. US2003-0139638 A1
The conventional system for measuring EEG is limited to a specific action or psychological understanding of the individual, and it is difficult to process the data and display it in real time. In order to study the interactions between the target mice, we need to connect the data collection device to the EEG electrode inserted in each mouse. There was a limit to the fact that In this way, it is difficult to check the state of the mouse in real time because the conventional brain activity map was analyzed for frequency band and behavior analysis after video recording for a long time while measuring EEG. In addition, there is no ultralight wireless system capable of supporting at least a capacity of 100 Mb or more when an EEG is measured for one hour in one object. Therefore, new signal processing and measurement methods are required to overcome these problems.
According to an embodiment of the present invention, an EEG analyzing apparatus includes an electrode unit for measuring an EEG from at least one region of the brain, A visualization unit for visually displaying the state of the brain on the basis of the first brain wave signal, and a visualization unit for transmitting the brain wave or the first brain wave signal to an external device And a wireless communication unit.
In one embodiment of the present invention, the visualization unit may emit light of a first color when the first brain wave signal increases in a predetermined frequency band from a predetermined value.
According to an embodiment of the present invention, the visualization unit may emit light of a second color different from the first color when the first EEG signal is reduced to a predetermined value in a predetermined frequency band.
In one embodiment of the present invention, the visualization unit may emit light of a first color when the phase synchronization value of the first EEG signal is greater than a predetermined reference value.
In one embodiment of the present invention, the signal processing unit includes a multiplexer for selecting an EEG wave corresponding to one of at least one region of the brain from the EEG measured by the electrode unit, and an EEG selected from the EEG selected by the multiplexer And a frequency band separator for generating the first EEG signal.
In one embodiment of the present invention, the signal processing unit may further include a power calculating unit that calculates a power of the first EEG signal.
In one embodiment of the present invention, the signal processing unit may further include a PLV calculating unit for calculating a phase synchronization value of the first EEG signal.
In one embodiment of the present invention, the frequency band separator may include a digital bandpass filter or an analog bandpass filter for filtering the brain waves selected by the multiplexer.
In one embodiment of the present invention, the frequency band separator may calculate the power of the predetermined frequency band of the EEG selected by the multiplexer through the Fourier transform and output the calculated power as the first EEG signal.
In one embodiment of the present invention, the signal processing unit further includes a variable gain amplifier for amplifying a magnitude of an EEG selected by the multiplexer according to a variable gain, and a frequency converter for amplifying a frequency of an EEG selected by the multiplexer .
In one embodiment of the present invention, the electrode unit may include a first electrode for measuring brain waves in the frontal region of the brain, and a second electrode for measuring brain waves in the parietal region or the auditory cortex region of the brain.
According to another aspect of the present invention, there is provided a method for analyzing brain waves, comprising the steps of measuring brain waves from at least one region of a brain, measuring a first brain wave corresponding to a predetermined frequency band based on the measured brain waves, Generating a signal, visually displaying the state of the brain based on the first EEG signal, and transmitting the EEG or the first EEG signal to an external device using wireless communication.
In one embodiment of the present invention, the step of visually displaying the state of the brain may include emitting light of a first color when the first EEG signal increases in a predetermined frequency band from a predetermined value .
In one embodiment of the present invention, the step of visually displaying the state of the brain may include the step of visually displaying the state of the brain when the first EEG signal is reduced to a predetermined value in a predetermined frequency band, And then releasing the liquid.
According to an embodiment of the present invention, the visualization unit may emit a light amount of the first color according to a value of a predetermined value band in a predetermined frequency band of the first EEG signal at a predetermined value.
In one embodiment of the present invention, the step of visually displaying the state of the brain may include emitting light of a first color when the phase synchronization value of the first EEG signal is greater than a predetermined reference value have.
In one embodiment of the present invention, the step of generating a first EEG signal corresponding to a predetermined frequency band on the basis of the measured EEG may include the step of generating, from the measured EEG, Selecting a corresponding EEG wave and generating the first EEG signal from the selected EEG wave.
In one embodiment of the present invention, generating the first EEG signal corresponding to a predetermined frequency band based on the measured EEG may further include calculating a power of the first EEG signal.
In one embodiment of the present invention, the step of generating the first EEG signal corresponding to a predetermined frequency band based on the measured EEG may further include calculating a phase synchronization value of the first EEG signal have.
In one embodiment of the present invention, the step of generating the first EEG signal from the selected EEG may include filtering the selected EEG using a digital bandpass filter or an analog bandpass filter.
In one embodiment of the present invention, the step of generating the first EEG signal from the selected EEG includes calculating the power of the predetermined frequency band of the selected EEG through Fourier transform and outputting the calculated power as the first EEG signal . ≪ / RTI >
In one embodiment of the present invention, generating the first EEG signal corresponding to a predetermined frequency band based on the measured EEG includes amplifying the size of the selected EEG according to a variable gain, And amplifying the frequency.
In one embodiment of the present invention, the step of measuring the EEG may include measuring an EEG in the frontal region of the brain, and measuring EEG in the parietal region or the auditory cortex of the brain.
One of the phenomena of interest in the scientific community in recent years is the mechanism of collective intelligence. For example, collective decision, collective synchronization, panic escape, swarm behavior, collective action, and so on until recently, Ants and bees have been studied through the methodology of complex science. However, in order to combine this understanding with human society, it is necessary to conduct research through various genetic or pharmacological variations in the mammalian brain, and if this technology is realized, a tool that can combine brain science and sociology .
Another effect of the present invention is that it can reveal the mechanism of psychosis caused by social problems and can provide clues to be the basis of the treatment, and will be a cornerstone of research for finding genes and brain nervous system related to sociality , Which will be used in the development of early diagnosis technology for societal brain diseases in modern society.
1 is a block diagram showing an EEG analyzing apparatus according to a first embodiment of the present invention.
2A and 2B are conceptual diagrams for explaining the operation of the EEG analyzing apparatus according to the first embodiment of the present invention.
3 is a block diagram showing the electrode unit of Fig.
4 is a block diagram showing the signal processing unit of FIG.
5 is a block diagram showing the visualization unit of FIG.
6A and 6B are conceptual diagrams for explaining the operation of the EEG analyzing apparatus according to the second embodiment of the present invention.
7 is a block diagram showing a signal processing unit of the EEG apparatus of FIGS. 6A and 6B.
8 is a conceptual diagram for explaining the operation of the EEG analyzing apparatus according to the third embodiment of the present invention.
9 is a block diagram showing an electrode unit of the EEG analyzing apparatus of FIG.
10 is a block diagram showing a signal processing unit of the EEG analyzing apparatus of FIG.
11 is a conceptual diagram for explaining the operation of the EEG analyzing apparatus according to the fourth embodiment of the present invention.
12 is a block diagram showing a signal processing unit of the EEG analyzing apparatus of FIG.
The apparatus and method for analyzing EEG according to the present invention is a system for studying brain activity map according to the behavior of a community by measuring the increase and decrease of a specific frequency band by measuring brain waves in the cerebral cortex.
The EEG analyzing apparatus and method can be basically composed of an electrode for measuring brain waves, an electronic module for processing a signal by a specific algorithm, and a visualizer for visualizing the change of measured EEG.
An electronic module designed with ultra-low noise to measure the electroencephalogram (local field potential) of a very low frequency signal (less than 300uV) can amplify the neural signal and separate it into the desired bandwidth. A method of separating the signal into predetermined bandwidths is to cut out a specific bandwidth (delta wave, set wave, alpha wave, beta wave, gamma wave) segmented by an analog filter or to separate the total bandwidth required by an analog filter, There are two ways to extract a specific bandwidth. The extracted EEG is converted into a digital signal through an analog-to-digital converter (ADC), and the increase / decrease of the signal can be analyzed in real time.
Alternatively, Fourier transform can be used to analyze the increase / decrease of frequency-dependent signals, or to analyze size and phase in the time domain through Hilbert transforms and analytic signals.
The visualizer uses LEDs, and the color of the LEDs or the frequency at which the LEDs are blinking increases and decreases. Through the visualizer, the activation level of EEG can be grasped in real time. This data can be transmitted to an external device using wireless communication and can be used to obtain more meaningful information from an external device.
The EEG analyzer can be powered wirelessly to minimize weight, so that the object does not hinder attachment and movement. To this end, the EEG analyzing apparatus may include a rectifier and a regulator that stably supplies the power supply voltage.
In one embodiment, the behavioral analysis of objects, e.g., mice, using the EEG analyzing apparatus according to the present invention can be performed on mice that have undergone electrode insertion surgery and have undergone recovery period.
In one embodiment, the electrode, which is a component of the EEG analyzer, can be inserted into the frontal and parietal lobes of the mouse, and the skull above the left and right occipital lobes. The electrodes on the occipital lobe are used as ground electrodes and reference electrodes And the frontal lobe and parietal lobe signals can be measured. The bottom portion of the chip including the electrode can be fixed by cementing, and the LED portion and the antenna portion of the chip can be placed on the head of the mouse and exposed to the outside. Alternatively, the antenna portion of the chip may be placed on the head of the mouse, and the LED portion of the chip may be placed on the back of the mouse.
The experimenter collects a plurality of objects, and through the LED on each object, the power of the EEG rhythm can be checked in real time. The frequency band of the EEG rhythm is selected by default as a gamma wave, and the frequency band of the EEG rhythm is changed to a delta wave, a set wave, an alpha wave, a beta wave, or a gamma wave by applying a control signal through wireless communication . Here, the term power refers to a magnitude of a frequency component of an EEG.
In one embodiment, the increase or decrease in gamma power, which is an important rhythm of cognitive function, measured from the frontal electrode, can be calculated and displayed in color on the LED. For example, an increase in gamma power can be indicated by red, a decrease by blue LED, and this increase in rhythm can be interpreted as an enhancement of cognitive function.
For example, a rhythm change in a situation where a male and a female are randomly opposed can be used to confirm the liking and disliking response of the mice. Experimental external stimuli (threatening creatures, unpleasant odors, bright light, Etc.), it is possible to conduct quantitative social studies through immediate changes in EEG responses, and to conduct behavioral tests on social impairment using mental disease model mice.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to the preferred embodiments of the present invention.
1 is a block diagram showing an EEG analyzing apparatus according to a first embodiment of the present invention. 2A and 2B are conceptual diagrams for explaining the operation of the EEG analyzing apparatus according to the first embodiment of the present invention. 3 is a block diagram showing the electrode unit 100 of FIG. 4 is a block diagram showing the signal processing unit 200 of FIG. 5 is a block diagram showing the visualization unit 300 of FIG.
1 to 5, the EEG analyzing apparatus according to the first embodiment of the present invention includes an electrode unit 100, a signal processing unit 200, a visualization unit 300, a wireless communication unit 400, and a control unit 500, . ≪ / RTI >
In this specification, the names such as " device " or " part " refer to a device having a physical configuration or a control means implemented by software for operating the device together with such device, Quot; is intended to refer generally to devices that are < / RTI > Also, in this specification, the terms such as " first " or " second ", etc. are merely intended to functionally distinguish the components, and do not mean the importance or order of components.
The electrode unit 100 may be arranged in a brain of an object to measure an EEG signal, and may be configured to measure brain waves from at least one region of the brain. For example, at least one region of the brain may include the frontal lobe, the parietal lobe, the auditory cortex, the left cerebellum, and the right cerebellum. The electrode unit 100 includes a first electrode 110 disposed at the frontal lobe, A second electrode 120 disposed on the parietal lobe to measure pseudoephedrine waves or to be placed on the auditory cortex to measure auditory cortex EEG, a ground electrode (GND), and a reference electrode (REF) However, the present invention is not limited thereto.
The ground electrode GND may be disposed on either the left or right cerebellum, and the reference electrode REF may be disposed on the other of the left and right cerebellum.
The electrode unit 100 can be measured by an invasive method of measuring the EEG inserted into each region of the brain or a non-invasive method of measuring the EEG attached to the outside of the brain without being inserted into the brain.
The signal processing unit 200 may be configured to generate a first EEG signal corresponding to a predetermined frequency band based on the EEG measured by the electrode unit 100. For example, the signal processing unit 200 may extract a specific frequency band that is measured according to the positions of the first electrode 110 and the second electrode 120 using a filter to generate a first EEG signal.
The signal processing unit 200 may include a multiplexer 210, a first filter 220, and a frequency band separator 230.
A multiplexer (MUX) 210 may be configured to select an EEG corresponding to one of at least one region of the brain from the EEG measured by the electrode unit 100. For example, the multiplexer 210 may receive the EEG measured by the first electrode 110 and the EEG measured by the second electrode 120, and may select and output any one of the input EEGs.
The multiplexer 210 can select an EEG to be output by the control signal of the controller 500. [ In one embodiment, the experimenter may transmit control commands directly to the control unit 500 or the multiplexer 210 through the wireless communication unit 400 to change the brain waves output by the multiplexer 210.
The first filter 220 can separate the required band from the EEG output from the multiplexer 210. The required band may be bandwidth including delta, setter, alpha, beta, gamma. For example, the first filter 220 may extract the brain waves in the frequency band of 0.5 Hz to 200 Hz by filtering the brain waves output from the multiplexer 210, but the present invention is not limited thereto. The first filter 220 may be an analog filter. For example, the first filter 220 may be a low pass filter.
The frequency band separator 230 may be configured to generate a first EEG signal from an EEG selected by the multiplexer 210. Specifically, the frequency band separator 230 is selected and output by the multiplexer 210, and an EEG filtered by the first filter 220 can be extracted by using a digital filter. For example, the frequency band separator 230 digitally filters an EEG that has passed through the first filter 220 to generate a first EEG signal including one of a delta wave, a setter wave, an alpha wave, a beta wave, and a gamma wave Can be extracted. For example, the first EEG signal may be a delta wave having a frequency range from 1 Hz to 4 Hz, a setter having a frequency range from 6 Hz to 12 Hz, a beta wave having a frequency range from 15 Hz to 30 Hz, And gamma waves having a frequency range of 200 Hz to 200 Hz. However, the present invention is not limited thereto.
The first EEG signal may be an EEG rhythm, and the frequency band of the EEG rhythm may be divided into a frequency band of a delta wave, a seta wave, an alpha wave, a beta wave, and a gamma wave by extracting a brain wave of a specific band by a frequency band separator 230 You can choose one. The frequency band separating unit 230 may include a digital bandpass filter for filtering a predetermined specific band, for example, a frequency band of delta wave, set wave, alpha wave, beta wave and gamma wave. have. The signal processing unit 200 may further include an analog-to-digital converter for converting an analog signal input to the digital band-pass filter into a digital signal.
In one embodiment, the frequency band separator 230 separates the frontal lobe (s) filtered by the first filter 220 when the frontal EEG signal (i.e., the first electrode 110 brain wave signal) is selected by the multiplexer 210 It is possible to extract the brain wave rhythm of the 1 Hz to 4 Hz band (i.e., delta wave) or the 30 Hz to 200 Hz band (i.e., gamma wave) from the EEG signal and output the pseudophakic or auditory cortex signal In other words, when the second electrode 120 EEG signal is selected, the brain wave rhythm of 6 Hz to 12 Hz band (i.e., theta wave) is extracted from the pseudo EEG signal filtered by the first filter 220, The brain rhythm of the 30 Hz to 200 Hz band (i.e., gamma wave) can be extracted from the auditory cortex EEG signal, but is not limited thereto.
The frequency band separator 230 may select the frequency band of the first EEG signal according to the control signal of the controller 500. [ In one embodiment, the experimenter transmits a direct control command to the control unit 500 or the frequency band separator 230 through the wireless communication unit 400 so that the frequency of the first brain wave signal to be extracted by the frequency band separating unit 230 The band can be changed.
The signal processing unit 200 may further include a power calculating unit 270 and / or a PLV calculating unit 280.
The power calculator 270 may calculate the power of the first EEG signal extracted by the frequency band separator 230. In one embodiment, the power calculator 270 may calculate the power of the first EEG signal using Fourier transform.
Further, in another embodiment, the power calculating section 270 may include an integrating section and an energy detecting section. The accumulation unit can accumulate the result output through the frequency band separator 230. Further, the energy detecting unit can calculate the power by adding the accumulated results. Thereafter, the comparator 310 can compare the power increase / decrease based on the calculation result.
The PLV calculating unit 280 may calculate a phase locking value (PLV) of the first EEG signal extracted by the frequency band separator 230. For example, the PLV calculating unit 280 may calculate the phase synchronization value between the first EEG signals of the same frequency band using the Hilbert transform. In one embodiment, the PLV calculation unit 280 compares the calculated signals obtained by the Hilbert transform of the gamma-wave EEG extracted from the gamma-wave EEG and the auditory cortex EEG signals extracted from the frontal EEG signal, The phase synchronization value between the gamma-wave EEG rhythm of the auditory cortex EEG signal can be calculated. For example, the phase synchronization value can be calculated by comparing the phase component of the analysis signal.
The visualization unit 300 may be configured to visually display the state of the brain based on the first brain wave signal. The visualization unit 300 may include a comparison unit 310 and a display unit 330.
The comparison unit 310 may determine an increase or a decrease of the first EEG signal. As described above, the signal processing unit 200 can calculate the power of the first EEG signal through the power calculating unit 270. The comparing unit 310 compares the power of the first EEG signal with the power of the first EEG signal An increase or a decrease of the first EEG signal can be judged.
Also, the comparing unit 310 may compare the phase synchronization value of the first EEG signal with a predetermined reference value. As described above, the phase synchronization value of the first EEG signal can be calculated through the PLV calculation unit 280. [ For example, the predetermined reference value may be 0.5, but is not limited thereto.
The display unit 330 may be configured to visually display an increase, a decrease, or a phase synchronization of the first EEG signal based on the determination of the comparison unit 310. [ To this end, the display unit 330 may include at least one light source for emitting light. For example, the display portion 330 may include a first light source that emits light having a first color.
In one embodiment, the display unit 330 may turn on the first light source when the first EEG signal is increased to a predetermined value in a predetermined frequency band, and when the first EEG signal is pre- The first light source can be turned off when the intensity of the first light source decreases. Alternatively, the display unit 330 emits light of a first color when the first EEG signal is increased to a predetermined value in a predetermined frequency band, and when the first EEG signal is reduced to a predetermined value in a predetermined frequency band A first light source that emits light of a first color and a second light source that emits light of a second color may emit light of a second color different from the first color.
Also, the display unit 330 may turn on the first light source when the phase synchronization value of the first EEG signal is greater than or equal to a predetermined reference value, and if the phase synchronization value of the first EEG signal is greater than or equal to a predetermined reference value The first light source can be turned off. Alternatively, when the phase synchronization value of the first EEG signal is greater than or equal to a predetermined reference value, the display unit 330 emits light of a first color, and when the phase synchronization value of the first EEG signal is smaller than a predetermined reference value, Of light can be emitted.
For example, the first color may be red, and the second color may be blue, but is not limited thereto. In one embodiment, the light source may include a light emitting diode (LED).
The wireless communication unit 400 may transmit the first EEG signal extracted by the EEG or frequency band separator 230 measured by the electrode unit 100 to the external device using wireless communication. The wireless communication unit 400 may receive a control command for controlling the EEG analyzing apparatus from an experimenter using wireless communication and the control command may be transmitted to the control unit 500, the multiplexer 210, and the frequency band separating unit 230 Lt; / RTI >
The control unit 500 may be configured to control the operation of the electrode unit 100, the signal processing unit 200, the visualization unit 300, and the wireless communication unit 400. The control unit 500 may be electrically connected to the electrode unit 100, the signal processing unit 200, the visualization unit 300, and the wireless communication unit 400, respectively.
Since the EEG analyzing apparatus is not connected to an external device that supplies power, it is necessary to include a separate power supply unit such as a battery or receive power from the outside wirelessly. Preferably, the wireless power unit may further include a wireless power unit capable of wirelessly receiving power to minimize the burden on the object to attach and move the EEG analyzing apparatus. The wireless power unit may include a magnetic induction type or self- Lt; / RTI > The wireless power unit may include a rectifier and a regulator for stably supplying a receiving coil and a power supply voltage corresponding to the transmitting coil of the power transmitting terminal to receive power wirelessly.
6A and 6B are conceptual diagrams for explaining the operation of the EEG analyzing apparatus according to the second embodiment of the present invention. 7 is a block diagram showing a signal processing unit 201 of the EEG apparatus of FIGS. 6A and 6B.
The EEG analyzing apparatus according to the present embodiment is substantially the same as the EEG apparatuses of FIGS. 1 to 5 except for the signal processing unit 201 as compared with the EEG analyzing apparatuses of FIGS. 1 to 5. Therefore, the same components as those of the EEG apparatuses of FIGS. 1 to 5 are denoted by the same reference numerals, and redundant description may be omitted.
6A, 6B and 7, the EEG analyzing apparatus according to the second embodiment of the present invention includes an electrode unit 100, a signal processing unit 201, a visualization unit 300, a wireless communication unit 400, 500).
The signal processing unit 201 may be configured to generate a first EEG signal corresponding to a predetermined frequency band based on the EEG measured by the electrode unit 100. For example, the signal processing unit 200 may extract a specific frequency band that is measured according to the positions of the first electrode 110 and the second electrode 120 using a filter to generate a first EEG signal. The signal processing unit 201 may include a multiplexer 210 and a frequency band separator 231.
The signal processing unit 201 may not include the first filter 220 unlike the signal processing unit 200 according to the first embodiment and the multiplexer 210 of the signal processing unit 201 may be substantially the same as the first embodiment, The detailed description thereof will be omitted.
The frequency band separator 231 may be configured to generate a first EEG signal from an EEG selected by the multiplexer 210. [ Specifically, the frequency band separator 231 can extract an EEG wave of a specific band by using an analog filter of the EEG wave selected and output by the multiplexer 210. For example, the frequency band separator 231 may analog-filter an EEG that has passed through the multiplexer 210 to extract a first EEG signal including any one of a delta wave, a setter wave, an alpha wave, a beta wave, and a gamma wave . For example, the first EEG signal may be a delta wave having a frequency range from 1 Hz to 4 Hz, a setter having a frequency range from 6 Hz to 12 Hz, a beta wave having a frequency range from 15 Hz to 30 Hz, And gamma waves having a frequency range of 200 Hz to 200 Hz. However, the present invention is not limited thereto.
The first EEG signal may be an EEG rhythm and the frequency band of the EEG rhythm may be divided into a frequency range of EEG, You can choose one. The frequency band separator 231 may include an analog band pass filter for filtering a predetermined specific band, for example, a frequency band of delta wave, set wave, alpha wave, beta wave and gamma wave. have.
The frequency band separator 231 separates the frontal EEG signal from the frontal EEG signal in the frequency band of 1 Hz to 4 Hz when the multiplexer 210 selects the frontal EEG signal (i.e., the first electrode 110 EEG signal) (E. G., A delta wave) or a 30 Hz to 200 Hz band (i.e., a gamma wave), and the multiplexer 210 extracts a parietal or auditory cortex signal ), The brain wave rhythm of 6 Hz to 12 Hz band (ie, theta wave) is extracted from the pseudo EEG signal, or the brain rhythm of 30 Hz to 200 Hz band (ie, gamma wave) is extracted from the auditory cortex EEG signal But is not limited thereto.
The frequency band separator 231 may select the frequency band of the first EEG signal according to the control signal of the controller 500. [ In one embodiment, the experimenter transmits a direct control command to the control unit 500 or the frequency band separator 231 through the wireless communication unit 400 to determine the frequency of the first EEG signal to be extracted by the frequency band separator 231 The band can be changed.
The signal processing unit 201 may further include a power calculating unit 270 and / or a PLV calculating unit 280. The power calculating unit 270 and the PLV calculating unit 280 of the signal processing unit 201 may include a first The detailed description thereof will be omitted.
The signal processing unit 201 may further include an analog-to-digital converter for converting an analog signal input to the power calculating unit 270 and the PLV calculating unit 280 into a digital signal.
8 is a conceptual diagram for explaining the operation of the EEG analyzing apparatus according to the third embodiment of the present invention. 9 is a block diagram showing the electrode unit 102 of the EEG analyzing apparatus of FIG. 10 is a block diagram showing a signal processing unit 202 of the EEG analyzing apparatus of FIG.
The EEG analyzing apparatus according to this embodiment is substantially the same as the EEG apparatuses of FIGS. 1 to 5 except for the electrode unit 102 and the signal processing unit 202, as compared with the EEG apparatuses of FIGS. 1 to 5 . Therefore, the same components as those of the EEG apparatuses of FIGS. 1 to 5 are denoted by the same reference numerals, and redundant description may be omitted.
8 to 10, an EEG analyzing apparatus according to a third embodiment of the present invention includes an electrode unit 102, a signal processing unit 202, a visualization unit 300, a wireless communication unit 400, and a control unit 500. [ . ≪ / RTI >
The electrode unit 102 includes a third electrode 130 disposed at the frontal lobe and measuring a frontal lobe EEG when compared with the electrode unit 100 of the first embodiment, and a third electrode 130 disposed at the parietal lobe to measure pseudoephedrine waves or place them in the auditory cortex And a fourth electrode 140 for measuring the auditory cortex EEG.
In one embodiment, the first electrode 110 is disposed at the left frontal lobe to measure the left frontal brain EEG, and the third electrode 130 is disposed at the right frontal lobe to measure the right frontal brain EEG, The left parietal EEG is measured and the fourth electrode 140 is disposed in the right parietal lobe to measure the right parietal EEG. In another embodiment, the first electrode 110 is disposed at the left frontal lobe to measure the left frontal brain EEG, and the third electrode 130 is disposed at the right frontal lobe to measure the right frontal brain EEG, The left auditory cortex is measured and the fourth electrode 140 is disposed in the right auditory cortex to measure the right auditory cortex.
In FIG. 8, the electrode unit 102 is denoted by EEG AMP in order to explain that each of the electrodes may include an amplifier for amplifying signals measured from the brain, and FIGS. 1, 6, and 11 The electrodes included in the electrode unit may also include an amplifier for amplifying signals measured from the brain.
The signal processing unit 202 may include a multiplexer 212, a variable gain amplifier 240, a frequency converter 250, and a frequency band separator 232. The signal processing unit 202 may not include the first filter 220 unlike the signal processing unit 200 according to the first embodiment.
The multiplexer 212 may be configured to select an EEG wave corresponding to one of at least one region of the brain from the EEG measured by the electrode unit 102. For example, the multiplexer 212 may receive the EEG measured by the first to fourth electrodes 110, 120, 130, and 140, and may select and output any one of the input EEGs.
The multiplexer 212 can select an EEG to be output by the control signal of the controller 500. [ In one embodiment, the experimenter may transmit control commands directly to the control unit 500 or to the multiplexer 212 through the wireless communication unit 400 to change the brain waves to be output by the multiplexer 212.
The electrode unit 102 and the multiplexer 212 according to the present embodiment are also applicable to the first, second, and fourth embodiments.
A variable gain amplifier (VGA) 240 may amplify the magnitude of the brain waves selected by the multiplexer 210 according to a variable gain. Accordingly, the signal processing unit 202 can additionally amplify the size of the brain waves selected by the multiplexer 212 using the variable gain amplifier 240. [
In one embodiment, the variable gain of the variable gain amplifier 240 may be adjusted by a control signal of the controller 500. [ For example, the experimenter may transmit a control command directly to the control unit 500 or the variable gain amplifier 240 through the wireless communication unit 400 to adjust the variable gain.
The frequency converter 250 may amplify the frequency of the brain waves selected by the multiplexer 212.
The frequency band separator 232 may be configured to generate a first EEG signal from an EEG selected by the multiplexer 212. [ Specifically, the frequency band separator 232 is selected and output by the multiplexer 212, and the EEG amplitude and frequency amplified by the variable gain amplifier 240 and the frequency converter 250 are amplified using an analog filter Thereby extracting EEG waves of a specific band. For example, the frequency band demultiplexing unit 232 performs analog filtering on an EEG that has passed through the multiplexer 212, the variable gain amplifier 240, and the frequency converter 250 to generate a delta wave, a set wave, an alpha wave, a beta wave, The first brain wave signal corresponding to any one of the first brain wave signal and the second brain wave signal can be extracted.
The first EEG signal may be an EEG rhythm, and the frequency band of the EEG rhythm may be divided into a frequency range of a delta wave, a seta wave, an alpha wave, a beta wave, and a gamma wave by extracting a brain wave of a specific band by a frequency band separator 232 You can choose one. The frequency band demultiplexing unit 232 demultiplexes the frequency band of the delta wave, the set wave, the alpha wave, the beta wave and the gamma wave corresponding to the predetermined specific band, for example, the frequency amplified by the frequency converter 250 And may include an analog band pass filter.
In one embodiment, when the left or right frontal brain wave signal (i.e., the first electrode 110 or the third electrode 130 brain wave signal) is selected by the multiplexer 212, the frequency band separator 232 selects the variable The EEPROM 240 and the frequency converter 250 can extract a brain wave rhythm of a delta wave or a gamma wave corresponding to a frequency range amplified from a frontal brain EEG signal amplified in size and frequency of an EEG, The amplitude of the brain waves and the amplitude of the brain waves are measured by the variable gain amplifier 240 and the frequency converter 250 when the parietal or auditory cortex signal (i.e., the second electrode 120 or the fourth electrode 140 brain wave signal) Extracts the EEG brain rhythm corresponding to the frequency range amplified from the amplified pseudo EEG signal or extracts the EEG rhythm corresponding to the amplified frequency range from the amplified auditory cortex signal But is not limited thereto.
The frequency band separating unit 232 can select the frequency band of the first EEG signal according to the control signal of the controller 500. In one embodiment, the experimenter transmits a direct control command to the control unit 500 or the frequency band separator 232 through the wireless communication unit 400, so that the frequency of the first EEG signal to be extracted by the frequency band separating unit 232 The band can be changed.
The signal processing unit 202 may further include a power calculating unit 270 and / or a PLV calculating unit 280. The power calculating unit 270 and the PLV calculating unit 280 of the signal processing unit 202 may include a first The detailed description thereof will be omitted.
11 is a conceptual diagram for explaining the operation of the EEG analyzing apparatus according to the fourth embodiment of the present invention. FIG. 12 is a block diagram showing the signal processing unit 203 of the EEG analyzing apparatus of FIG.
The EEG analyzing apparatus according to the present embodiment is substantially the same as the EEG apparatuses of FIGS. 1 to 5 except for the signal processing unit 203 as compared with the EEG analyzing apparatuses of FIGS. 1 to 5. Therefore, the same components as those of the EEG apparatuses of FIGS. 1 to 5 are denoted by the same reference numerals, and redundant description may be omitted.
11 and 12, the EEG analyzing apparatus according to the fourth embodiment of the present invention includes an electrode unit 100, a signal processing unit 203, a visualization unit 300, a wireless communication unit 400, and a control unit 500, . ≪ / RTI >
The signal processing unit 203 may be configured to generate a first EEG signal corresponding to a predetermined frequency band based on the EEG measured by the electrode unit 100. [ The signal processor 203 may include a multiplexer 210, a first filter 220, and a frequency band separator 233. The multiplexer 210 and the first filter 220 of the signal processing unit 203 are substantially the same as those of the first embodiment, and a detailed description thereof will be omitted.
The frequency band separator 233 may be configured to generate the first EEG signal from the EEG selected by the multiplexer 210. Specifically, the frequency band separator 233 selects and outputs the size of a specific frequency band of the EEG filtered by the first filter 220 by the multiplexer 210 through Fourier transform, As shown in Fig.
For example, the frequency band demultiplexing unit 233 may extract a frequency band corresponding to one of a delta wave, a set wave, an alpha wave, a beta wave and a gamma wave by Fourier transform, that is, The power of one of the beta wave and the gamma wave can be calculated and output as the first brain wave signal.
In one embodiment, when the frontal EEG signal (i.e., the first electrode 110 EEG signal) is selected by the multiplexer 210, the frequency band separator 233 outputs the frontal lobe filtered by the first filter 220 (I.e., the power of the delta wave) or the amplitude of the frequency band of 30 Hz to 200 Hz (i.e., the power of the gamma wave) from the EEG signal can be calculated, and the pseudo- When the auditory cortex EEG signal (i.e., the second electrode 120 EEG signal) is selected, the size of the 6 Hz to 12 Hz band (i.e., the power of the setter) from the pseudo EEG signal filtered by the first filter 220, Or the size of the band from 30 Hz to 200 Hz (i.e., the power of the gamma wave) from the filtered auditory cortex signal, but is not limited thereto.
The signal processing unit 203 may further include an analog-to-digital converter for converting an analog signal input to the frequency band separating unit 233 into a digital signal.
The frequency band demultiplexing unit 233 can select a frequency band for calculating the power through the Fourier transform by the control signal of the controller 500. [ In one embodiment, the experimenter transmits a direct control command to the control unit 500 or the frequency band separator 233 through the wireless communication unit 400 to determine the frequency of the first EEG signal to be calculated by the frequency band separator 233 The band can be changed.
The EEG analyzing apparatus according to the present invention attaches to the head of an object, measures EEG, separates the EEG measured through a signal processing unit included in the analyzer by frequency bands, And the experimenter can study the correlation between the group behavior and the brain activity change of the object through the optical signal displayed through the visualization unit.
100, 102: electrode unit 110: first electrode
120: second electrode 130: third electrode
140: fourth electrode 200, 201, 202, 203: frequency band separator
210, 212: Multiplexer 220: First filter
230, 231, 232, 233: Frequency band separator
240: variable gain amplifier 250: frequency converter
270: Power calculation unit 280: PLV calculation unit
300: Visualization unit 310:
330: Display section 400: Wireless communication section
500:

Claims (22)

  1. An electrode unit for measuring brain waves from at least one region of the brain;
    A signal processing unit for generating a first EEG signal corresponding to a predetermined frequency band based on the EEG measured by the electrode unit;
    And a visualization unit for visually displaying the state of the brain on the basis of the first EEG signal,
    The signal processing unit
    A multiplexer for selecting an EEG corresponding to one of at least one region of the brain from the EEG measured by the electrode unit; And
    And a frequency band separator for generating the first EEG signal from an EEG selected by the multiplexer,
    Wherein the signal processing unit further comprises a PLV calculating unit for calculating a phase synchronization value of the first EEG signal measured in two different channels.
  2. The apparatus of claim 1, wherein the visualization unit
    And emits light of a first color when the first EEG signal increases from a predetermined value in a predetermined frequency band.
  3. 3. The apparatus of claim 2, wherein the visualization unit
    And emits light of a second color different from the first color when the first EEG signal is reduced to a predetermined value in a predetermined frequency band.
  4. The apparatus of claim 1, wherein the visualization unit
    And emits light of a first color when the phase synchronization value of the first EEG signal is greater than a predetermined reference value.
  5. delete
  6. 2. The apparatus of claim 1, wherein the signal processing unit
    And a power calculating unit for calculating a power of the first EEG signal.
  7. The apparatus of claim 1, further comprising a wireless communication unit for transmitting the brain wave or the first brain wave signal to an external apparatus using wireless communication.
  8. The apparatus of claim 1, wherein the frequency band separator
    And a digital bandpass filter or an analog bandpass filter for filtering an EEG selected by the multiplexer.
  9. The apparatus of claim 1, wherein the frequency band separator
    And outputs the power of the predetermined frequency band of the EEG selected by the multiplexer through the Fourier transform as the first EEG signal.
  10. 2. The apparatus of claim 1, wherein the signal processing unit
    A variable gain amplifier for amplifying a magnitude of an EEG selected by the multiplexer according to a variable gain; And
    Further comprising a frequency converter for amplifying a frequency of an EEG selected by the multiplexer.
  11. The plasma display panel of claim 1,
    A first electrode for measuring brain waves of the frontal region of the brain; And
    And a second electrode for measuring brain waves in the parietal region or the auditory cortex region of the brain.
  12. Measuring brain waves from at least one region of the brain;
    Generating a first EEG signal corresponding to a predetermined frequency band based on the measured EEG;
    And visualizing the state of the brain based on the first EEG signal,
    Generating a first EEG signal corresponding to a predetermined frequency band based on the measured EEG wave;
    Selecting an EEG corresponding to one of at least one region of the brain from the measured EEG; And
    And generating the first EEG signal from the selected EEG,
    Generating a first EEG signal corresponding to a predetermined frequency band based on the measured EEG wave;
    And calculating a phase synchronization value of the first EEG signal measured in two different channels.
  13. 13. The method of claim 12, wherein visually displaying the state of the brain comprises:
    And emitting light of a first color when the first EEG signal is increased to a predetermined value in a predetermined frequency band.
  14. 14. The method of claim 13, wherein visually displaying the state of the brain comprises:
    And emit light of a second color different from the first color when the first EEG signal is reduced to a predetermined value in a predetermined frequency band.
  15. 13. The method of claim 12, wherein visually displaying the state of the brain comprises:
    And emitting light of a first color when the phase synchronization value of the first EEG signal is greater than a predetermined reference value.
  16. delete
  17. 13. The method of claim 12, wherein generating the first EEG signal corresponding to a predetermined frequency band based on the measured EEG includes:
    And calculating the power of the first EEG signal.
  18. 13. The method of claim 12,
    Further comprising the step of transmitting the brain wave or the first brain wave signal to an external apparatus using wireless communication.
  19. 13. The method of claim 12, wherein generating the first EEG signal from the selected EEG includes:
    And filtering the selected EEG wave using a digital band pass filter or an analog band pass filter.
  20. 13. The method of claim 12, wherein generating the first EEG signal from the selected EEG includes:
    And calculating the power of the selected frequency band of the selected EEG through Fourier transform and outputting the calculated power as the first EEG signal.
  21. 13. The method of claim 12, wherein generating the first EEG signal corresponding to a predetermined frequency band based on the measured EEG includes:
    Amplifying a size of the selected EEG according to a variable gain; And
    Further comprising amplifying a frequency of the selected EEG wave.
  22. 13. The method of claim 12,
    Measuring brain waves in the frontal region of the brain; And
    And measuring brain waves in the parietal region or the auditory cortex region of the brain.
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* Cited by examiner, † Cited by third party
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WO2020145806A1 (en) * 2019-01-08 2020-07-16 이정용 Device and method for wirelessly transmitting or receiving bioelectrical signal

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101031507B1 (en) * 2010-07-28 2011-04-29 (주)아이맥스 A portable measuring instrument of electroencephalograph and control system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101031507B1 (en) * 2010-07-28 2011-04-29 (주)아이맥스 A portable measuring instrument of electroencephalograph and control system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020145806A1 (en) * 2019-01-08 2020-07-16 이정용 Device and method for wirelessly transmitting or receiving bioelectrical signal

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