CN101243974A - Method and apparatus for generating brain phase image detection and analysis with electroencephalogram - Google Patents
Method and apparatus for generating brain phase image detection and analysis with electroencephalogram Download PDFInfo
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- CN101243974A CN101243974A CNA2008100525409A CN200810052540A CN101243974A CN 101243974 A CN101243974 A CN 101243974A CN A2008100525409 A CNA2008100525409 A CN A2008100525409A CN 200810052540 A CN200810052540 A CN 200810052540A CN 101243974 A CN101243974 A CN 101243974A
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Abstract
The invention relates to an EEG brain picture detection and analysis method and equipment; wherein, the metod comprises the following implementation steps:according to a coupling coefficient of 0.6 to 0.7 and a sampling criterion of the EEG massive data, the EEG activity parameter is digitalized utilizing the formative system formula G=ACoswt +B and the program is encrypted utilizing a W-DKUSB interface port, then an EEG visible geometric characteristic graphic with time and space trajectory is generated. The control circuit of the equipment comprises an EEG electrode port, a multi-channel preamplifier, an A/D converter, a W-DKUSB interface port, a computer and a printer which are connected together; wherein the outputs of the EEG electrode port are respectively and correspondingly connected with the multi-channel preamplifier and then are connected with the W-DKUSB interface port through the A/D converter; the W-DKUSB interface port is connected with the computer and the computer is connected with the printer to form an integrated equipment. The EEG brain picture detection and analysis equipment has the advantages that a visible geometric characteristic graphic with time and space trajectory is generated by the EEG, which provides a scientific new thought, new method and new technology for the interdisciplinary research of thinking consciousness activities.
Description
Technical field
The present invention relates to a kind of check and analysis method and apparatus, particularly a kind of method and apparatus of generating brain phase image detection and analysis with electroencephalogram with EEG signals dynamic characteristic.
Background technology
Brain is last black box in the human cognitive field, especially with the closely-related mental awareness activity of big higher brain function, and human knowledge self and the key problem that must solve especially.
Twentieth century, brain and neural research are the research based on 26S Proteasome Structure and Function.Different subjects such as chemistry, physics, cytobiology, molecular biology, hereditism, computational science, pharmacology never ipsilateral are got involved research.Promptly pushed to the analysis of cell and molecular level ultimate attainment.Achieve success as gene mapping, and for example a light quantum can make the photoreceptor excitement, and hair cell ciliary movement 0.3nm can reach the threshold of audibility etc. for another example.
In basic process of nervous activity research, to the generation of ion channel characteristic and neuron signal with propagate the operating mode of synapse transmission and nerve signal processing and processing etc.,, have a series of new discoveries in the future that can estimate.It is the reductionism approach that event is studied on cell and molecular level that neural activity is summed up as, and has exposed tangible limitation.Brain will be paid attention to the collaborative of different subjects more with neural research and intersect.From many sides, at many levels, more profoundly disclose the essence of brain neurological motion.Study in the mode of integrating on integral body, system and loop level paying attention to more.Brain and neural research will be paid attention to the cognition of the relatedness between neuron activity and psi phenomenon more, pay attention to more big higher brain function particularly to the research of sophisticated functions such as language, intelligence, thinking, consciousness.
Psi phenomenon no doubt has it at cell and material base molecular level, but the thing of material is in case distillation is spirit, must produce many different character and characteristics, based on psi phenomenon multiformity changeable, no wound brain imaging technique (PET fMRI etc.) existing research means such as neuroanatomy and neuro physiology and that in recent years rise, many helical pitches electroencephalogram technology etc., in analysis and behavior and neuron activity correlation research to higher brain function, show significantly limitation in essence, research tool becomes one threshold of brain research.
Both at home and abroad academia is consistent, and to admit " working language that brain wave is brain " be that the people of this one " book from heaven " do not read to understand.One of its reason is the limitation in the cognition, two are technical shortcomings.Inventor's number of patenting once is 89104320.9 patent of invention " bio signal processing method and equipment ", has tentatively proposed the embodiment of bio signal treatment technology.
The research of brain wave was carried out under the reductionism analytical method instructs in the past, be conceived to the clinical meaning of brain wave on physiology and pathology.Its analysis principle is to follow phenomenon single, partial, incoherent, immobilized, state to describe.Though in epileptics diagnosis, obtain immense success, psychology and psychogenic disorder and human aspects such as sub-health state seldom related to.
Therefore, the brain progress people that wait in expectation found a series of brand-new theory and completely new approach, and the appearance of the brand-new analysis Instrument equipment under brand-new theoretical guiding.
Summary of the invention
The objective of the invention is to overcome the weak point in the above-mentioned technology, a kind of method and apparatus of scientific and reasonable, obvious results generating brain phase image detection and analysis with electroencephalogram is provided.
Implementation of the present invention is as follows for achieving the above object: a kind of method of generating brain phase image detection and analysis with electroencephalogram is characterized in that implementation step is as follows:
According to the brain electricity and the brain picture signals coefficient of coup is that 0.6-0.7 reaches the sampling standard to the brain wave mass data, utilize configuration system equations G=ACos ω t+B with brain electrical acti parameter digitized and utilize the W-DKUSB interface chip to carry out encipheror, make EEG signals be generated as visual geometric properties pattern with spatiotemporal motion track; That be about to become when concrete, successive, develop, brain electrical acti parameter digitized relevant and a whole property generate by configuration system equations G=ACos ω t+B conversion graphical, and printer output graph text by being connected with computer;
Parametric representation among the described configuration system equations G=ACos ω t+B:
A represents brain wave basic parameter collection: α ripple, β ripple, θ ripple, δ ripple; Select frequency range 0-54Hz, the brain electrical acti of amplitude 1-200 μ v;
T represents check and analysis time parameter series: 3-120 second;
B represents the coupled systemes numerical value 0.6-0.7 of brain electricity and brain picture signals.
Described sampling standard content to brain electricity mass data is divided into six groups according to 16 international crosslinking electrode positions, the position in six brain districts just, and it is left front brain sampling standard that F1, F3, C3 are one group; It is right front brain sampling standard that F2, F4, C4 are one group; It is left back brain sampling standard that P3, O1 are one group; It is right back brain sampling standard that P4, O2 are one group; It is left temporo district sampling standard that F7, T3, T5 are one group; It is right temporo district sampling standard that F8, T4, T6 are one group; After the EEG signals combination of each group, the system equations of substitution configuration again G=ACos ω t+B carries out computing.
A kind of equipment of generating brain phase image detection and analysis with electroencephalogram is characterized in that described equipment control circuit is connected to form by electrode for encephalograms port, multichannel preamplifier, A/D converter, W-DKUSB interface chip, computer and printer; The corresponding respectively multichannel preamplifier that inserts of each exit point of described electrode for encephalograms port inserts the W-DKUSB interface chip through A/D converter, and described W-DKUSB interface chip is connected with computer, and simultaneous computer is connected with printer, forms integration apparatus.
Argument foundation of the present invention is modern sciences such as clinical electroencephalography, chaology, systems biology and mathematical algorithm.Integrate under theoretical the guiding with collaborative in the interdiscipline intersection, its oranon is to defer to phenomenon that check, justice, network, relevant, motion, process to describe and machine-processed the exploration.
The present invention resembles relevant issues such as the characteristics of motion of dependency, brain sophisticated function of figure and essence by research brain wave network work principle, the establishment of brain wave motor program and mathematics rule, brain sophisticated function and brain, solved the EEG signals conversion has been generated the mental awareness state that brain resembles figure and then check and analysis people, and to the brain of human material and the objective and accurate judge of brain of spirit.
Described configuration system equations G=ACos ω t+B is the theory and the technological core of the inventive method and equipment; The feature of this functional equation: compare with the neuron activity correlational study with no wound brain imaging technique (PET, fMRI etc.), many helical pitches electroencephalogram technology and behavior, this formula for the first time the brain wave basic parameter is introduced set operation, for the first time time series is introduced calculating process, calculate and obtain the coupled systemes numerical value that can explain brain stability for the first time.
The innovative significance of this formula: in the high-level research about thinking, consciousness and the active dynamic characteristic of feelings will of brain, this formula is one group of brand-new modeling principle and method:
1, introduce set operation, set up the network work new principle and the new method of brain electrical acti, this organizes old data and has shone boundless vital force to make brain wave.
2, introduce time series, set up brain electrical acti the time exchange work and make new principle and new method, make brain wave when the big higher brain function dynamic characteristic of statement, have solid foundation of physics.
3, confirm the coefficient of coup, and the brain wave of having found to seem to be chaos thus on profound level but by the mathematics rule of one group of scientific and precise coordinate, retrain, the coefficient of coup is one of them.Enlivening the cosmology basis that meticulous and graceful mathematics rule is a brain function stability in the brain wave.
This formula scientific meaning: first, the brain of being founded by this formula has resembled since the diagram technology, detect about more than 20,000 person-times in clinical practice, found that: brain is based upon character and the moving law that ergasias such as language on the brain wave chaos state basis, intelligence, thinking, consciousness, feelings will have its uniqueness.Brain running fundamentum has 4 points: 1, the correspondence between man and universe; 2, motion time variation; 3, mathematics regulation; 4, former naturally U.S.'s property.The in a single day destroyed or rewriting of brain fundamentum, catastrophic effect just comes finally, the lighter such as epilepsy, weight person is as being at death's door.The second, the structure theory of this formula will become the theoretical basis of " brain resembles graphics ".
The invention has the beneficial effects as follows: the inventive method and equipment make EEG signals be generated as the figure of the visual geometric properties with spatiotemporal motion track; A kind of new approaches, new method, new technique of science are provided for the active interdisciplinary research of mental awareness.Present device is controlled in conjunction with computer realization, has that deal with data is fast, resolution is high, characteristics such as data, figure are accurate; During application, convenient and swift, accurate, and be convenient to further exploitation and popularization.The inventive method and equipment are used for the detection by quantitative of EEG signals and qualitative analysis are helped to monitor the state of objective evaluation human brain, find and correctly utilize talents; Or, effectively treated as early as possible brain lesions patient's early discovery.
Description of drawings
Fig. 1 is the inventive method operation principle sketch map;
Fig. 2 is a present device control circuit theory diagram;
Fig. 3 is that the various geometric properties typical graphics-brains with spatiotemporal motion track of EEG signals generation resemble figure;
Among the figure: a is the electrode for encephalograms port, and b is the multichannel preamplifier, and c is an A/D converter, and d is the W-DKUSB interface chip, e computer, f printer.
The specific embodiment
Below in conjunction with drawings and Examples, to details are as follows according to the specific embodiment provided by the invention:
As shown in Figure 1, the method and apparatus of this generating brain phase image detection and analysis with electroencephalogram is an achievement of deep development and research on patent of invention " bio signal processing method and equipment " (patent No. 89104320.9) basis; Brain-electrical signal processing method is to be made of W-DKUSB interface chip and classical text flow process thereof that sampling standard, configuration system equations G=ACos ω t+B, encipheror three parts of brain electricity mass data are charged to.Being that interface can be adjusted to the electric parameter of sense signal and satisfies the digitized processing circuit and import W-DKUSB interface chip of the present invention, is sampling standard, configuration system equations G=ACos ω t+B, the encipheror of brain electricity mass data are charged to wherein.
Operation principle: by human brain collection input electroencephalogram processing section I, enter brain again and resemble figure processing section II, output device has the geometric properties electroencephalogram of spatiotemporal motion track as text III.
Among Fig. 1: the x presentation surface is to the sampling standard of brain wave mass data, and y represents the operation program of configuration system equations G=ACos ω t+B expansion, and z represents encipheror.
Sampling standard content to brain electricity mass data: to being divided into six groups according to 16 international crosslinking electrode positions, the position in six brain districts just, it is left front brain sampling standard that F1, F3, C3 are one group; It is right front brain sampling standard that F2, F4, C4 are one group; It is left back brain sampling standard that P3, O1 are one group; It is right back brain sampling standard that P4, O2 are one group; It is left temporo sampling standard that F7, T3, T5 are one group; It is right temporo sampling standard that F8, T4, T6 are one group.After the EEG signals combination to each group, enter configuration system equations G=ACos ω t+B computing again.
The content of configuration system equations G=ACos ω t+B:
A represents brain wave basic parameter collection, i.e. four kinds of waveform α ripples, β ripple, θ ripple, δ ripple, and selected frequency is 0-54Hz, the brain electrical acti of amplitude 1-200 μ v;
T represents time parameter series, selects the 3-120 brain electrical acti of second;
B represents the coupled systemes numerical value 0.6-0.7 of brain electricity and brain elephant.
Substitution formula for example: as first group EEG signals is that α ripple, frequency are 8-13Hz; Second group is that θ ripple, frequency are 4-7Hz; The 3rd group is β ripple, 14-26Hz; The 4th group is frequency 4-12Hz; The 5th group is that the 6th group of frequency 8-18Hz is that θ ripple, δ ripple, frequency are 1-7Hz; Above amplitude is all less than 200 a little, and t is 60 seconds; The coefficient of coup is 0.6.
G1＝A1Cosωt+B
G1＝A1Cosωt+B＝8-13Cosω×60+0.6......
G2＝A2Cosωt+B＝4-7Cosω×60+0.6......
G3＝A3Cosωt+B＝14-26Cosω×60+0.6......
G4＝A4Cosωt+B＝4-12Cosω×60+0.6......
G5＝A5Cosωt+B＝8-18Cosω×60+0.6......
G6＝A6Cosωt+B＝1-7Cosω×60+0.6......
……
Above content and encipheror are all charged to W-DKUSB interface chip d.
At last, the graph text that has spatiotemporal motion track geometric properties by printer output.
As shown in Figure 2, the present device control circuit is connected to form by electrode for encephalograms port a, multichannel preamplifier b, A/D converter c, W-DKUSB interface chip d, computer e and printer f; The corresponding respectively multichannel preamplifier b that inserts of each exit point of described electrode for encephalograms port a, insert W-DKUSB interface chip d through A/D converter c, described W-DKUSB interface chip d is connected with computer e, and simultaneous computer e is connected with printer f, forms integration apparatus.
1-16 the exit point that described electrode for encephalograms port a is provided with, the corresponding respectively multichannel preamplifier b that inserts, the digital video brain electricity of the TJS type that preamplifier b adopts work station preamplifier can be 16 the tunnel.
Preamplifier b amplifies the back and is connected with A/D converter c, its signal input W-DKUSB interface chip d, convert a large amount of EEG signals of W-DKUSB interface chip d output to digital signal, input computer e handles, and resembles graph text by printer f output brain then.
Can adopt general purpose computer in the invention process, for example online use of PC/XT; Also can adopt special-purpose programmed computer.The online use of general purpose computer can be by practical situation, and the person's of being used in combination experience is worked immediately, so not only is convenient to the exploitation of art technology, and can the present invention be put into practice.
Complete machine structure is made up of three parts, top: 180 ° of rotating liquid crystal displays; Amplifier, A/D conversion, W-DK combination.Middle part operating board: 45 ° of rotatable support frame; Drawing and pulling type keyboard, mouse tray; Facilities control console.The bottom lock rack: two universal and two fixing can lock wheeled leg; Firm and meet the trapezoidal chassis of sport dynamics; Streamlined computer sealing rack; Inserted laser printer.Promptly be fit to dismounting, move easily again, suitable various working environments effectively guarantee complete realization of the present invention simultaneously.
As shown in Figure 3, the brain of present device by printer output resembles graph text and comprises that typical graphics has:
Interior square 1-1, figure is formed by grid or track braiding, and centre of figure is woven into the class square, and tetragonal four angles of class are obvious acute angle, and the figure left-right symmetric.
Tunnel type 2-1,2-2, figure is formed by grid or track braiding, and centre of figure has tangible hollow third dimension, and the figure symmetry, and the direction in tunnel is 2-1 up and down, or left and right sides 2-2.
Flos Nelumbinis type 3-1,3-2, figure is formed by grid or track braiding, and the center pattern is woven into petal sample or Flos Nelumbinis sample, and the figure left-right symmetric, and the centre is hollow shape 3-1, or solid shape 3-2.
Eagle order type 4-1, figure is formed by grid or track braiding, and the center pattern is obvious relief hawkeye sample Double Circle, and the distance between the Double Circle is greater than 0.5cm, and the figure left-right symmetric.
Field involved in the present invention is extensive, as relates to the research of the dynamic characteristic of bio signal, EEG signals, relates to subject and comprises brain science, electroencephalography, psychology, Chinese medicine, pedagogy and philosophy and the social sciences spiritual, that consciousness is relevant with thinking.Be a kind of method of the big higher brain function state of objective, directly perceived measurement, and the qualitative and quantitative analysis index of declaring the knowledge and studying big higher brain function is provided.Be to be between the brain of the brain of material and spirit, erected the bridge of a communication between objective and subjective, make that A deep chasm turns into a thoroughfare.The present invention sets up a kind of brand-new principle, method and technology, cross over different organizational structure levels, the basic process of brain wave and big higher brain function are associated, be character and the feature of measuring big higher brain function, the excess syndrome data of one group of physics and mathematics are provided.
Above-mentioned detailed description of the method and apparatus of this generating brain phase image detection and analysis with electroencephalogram being carried out with reference to embodiment; be illustrative rather than determinate; therefore in the variation and the modification that do not break away under the general plotting of the present invention, should belong within protection scope of the present invention.
Claims (3)
1. the method for a generating brain phase image detection and analysis with electroencephalogram is characterized in that implementation step is as follows:
According to the brain electricity and the brain picture signals coefficient of coup is that 0.6-0.7 reaches the sampling standard to the brain wave mass data, utilize configuration system equations G=ACos ω t+B with brain electrical acti parameter digitized and utilize the W-DKUSB interface chip to carry out encipheror, make EEG signals be generated as visual geometric properties pattern with spatiotemporal motion track; That be about to become when concrete, successive, develop, brain electrical acti parameter digitized relevant and a whole property generate by configuration system equations G=ACos ω t+B conversion graphical, and printer output graph text by being connected with computer;
Parametric representation among the described configuration system equations G=ACos ω t+B:
A represents brain wave basic parameter collection: α ripple, β ripple, θ ripple, δ ripple; Select frequency range 0-54Hz, the brain electrical acti of amplitude 1-200 μ v;
T represents check and analysis time parameter series: 3-120 second;
B represents the coupled systemes numerical value 0.6-0.7 of brain electricity and brain picture signals.
2. the method for generating brain phase image detection and analysis with electroencephalogram according to claim 1, it is characterized in that described sampling standard content to brain electricity mass data is divided into six groups according to 16 international crosslinking electrode positions, the position in six brain districts just, grouping in the following order, F1, F3, C3 are one group, are left front brain sampling standard; F2, F4, C4 are one group, are right front brain sampling standard; P3, O1 are one group, are left back brain sampling standard; P4, O2 are one group, are right back brain sampling standard; F7, T3, T5 are one group, are left temporo district sampling standard; F8, T4, T6 are one group, are right temporo district sampling standard; After the EEG signals combination to each group, the system equations of substitution configuration again G=ACos ω t+B carries out computing.
3. the equipment of a generating brain phase image detection and analysis with electroencephalogram according to claim 1 is characterized in that described equipment control circuit is connected to form by electrode for encephalograms port, multichannel preamplifier, A/D converter, W-DKUSB interface chip, computer and printer; The corresponding respectively multichannel preamplifier that inserts of each exit point of described electrode for encephalograms port inserts the W-DKUSB interface chip through A/D converter, and described W-DKUSB interface chip is connected with computer, and simultaneous computer is connected with printer, forms integration apparatus.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107303178A (en) * | 2016-04-23 | 2017-10-31 | 北京天智脑象科技有限公司 | A kind of method and apparatus of brain function analysis and judgment technological system |
| CN107589700A (en) * | 2017-10-16 | 2018-01-16 | 浙江大学 | A kind of EEG signals simulation generator |
| CN111012336A (en) * | 2019-12-06 | 2020-04-17 | 重庆邮电大学 | Parallel convolutional network motor imagery electroencephalogram classification method based on spatio-temporal feature fusion |
| CN111612746A (en) * | 2020-04-30 | 2020-09-01 | 杭州电子科技大学 | Dynamic detection method of functional brain network central node based on graph theory |
| RU2785268C1 (en) * | 2021-06-10 | 2022-12-05 | Александр Валентинович Вартанов | Method for studying brain activity according to scalp electroentephalogram data |
-
2008
- 2008-03-28 CN CNA2008100525409A patent/CN101243974A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107303178A (en) * | 2016-04-23 | 2017-10-31 | 北京天智脑象科技有限公司 | A kind of method and apparatus of brain function analysis and judgment technological system |
| CN107589700A (en) * | 2017-10-16 | 2018-01-16 | 浙江大学 | A kind of EEG signals simulation generator |
| CN107589700B (en) * | 2017-10-16 | 2024-06-04 | 浙江大学 | Electroencephalogram signal simulation generating device |
| CN111012336A (en) * | 2019-12-06 | 2020-04-17 | 重庆邮电大学 | Parallel convolutional network motor imagery electroencephalogram classification method based on spatio-temporal feature fusion |
| CN111612746A (en) * | 2020-04-30 | 2020-09-01 | 杭州电子科技大学 | Dynamic detection method of functional brain network central node based on graph theory |
| CN111612746B (en) * | 2020-04-30 | 2023-10-13 | 杭州电子科技大学 | Dynamic detection method for functional brain network central node based on graph theory |
| RU2785268C1 (en) * | 2021-06-10 | 2022-12-05 | Александр Валентинович Вартанов | Method for studying brain activity according to scalp electroentephalogram data |
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