CN106108847A - Signal processing method, Apparatus and system - Google Patents
Signal processing method, Apparatus and system Download PDFInfo
- Publication number
- CN106108847A CN106108847A CN201610453318.4A CN201610453318A CN106108847A CN 106108847 A CN106108847 A CN 106108847A CN 201610453318 A CN201610453318 A CN 201610453318A CN 106108847 A CN106108847 A CN 106108847A
- Authority
- CN
- China
- Prior art keywords
- eeg signals
- ripple
- parameter value
- division
- wavelength
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
Abstract
The embodiment of the present invention provides a kind of signal processing method, Apparatus and system, and described method includes: obtains the image information that user is currently regarded, receives the first EEG signals and the second EEG signals that two dry electrodes gather respectively；According to the first EEG signals and the second EEG signals, obtain the parameter value that the wavelength-division of the parameter value of the wavelength-division not correspondence of multiple frequency ranges of the first EEG signals and multiple frequency ranges of the second EEG signals is not corresponding respectively；Parameter value and the image information of the wavelength-division not correspondence of the parameter value not corresponding by the wavelength-division of multiple frequency ranges of the first EEG signals and multiple frequency ranges of the second EEG signals are sent to host computer, so that described host computer calculates finger target value to be measured, described image information is mated with described finger target value to be measured and stores by described host computer, analyzes the described image information disturbance degree to described finger target value to be measured.Described method makes the result analyzed more complete and accurate.
Description
Technical field
The present invention relates to data processing field, in particular to a kind of signal processing method, Apparatus and system.
Background technology
Up to the present the brain wave of human brain is divided into four kinds: δ ripple, θ ripple, α ripple and β ripple.δ ripple: deep sleep's E.E.G
State (scope 0.5-3HZ).When the brain frequency of people is in δ ripple, for deep sleep, automatism.The sleep product of people
Matter quality and δ ripple have very directly relation.The sleep of δ ripple is the deepest a kind of sleep state, if when tossing about in bed certainly
Oneself calls out the wavy state of approximation δ, just can break away from insomnia soon and enter deep sleep.θ ripple: the degree of depth loosens, stress-free latent
State of consciousness (scope 4-8HZ).When the brain frequency of people is in θ ripple, the consciousness of people is interrupted, and health is deep to be loosened, for
Extraneous information present height by hint state, i.e. by psycheism.θ ripple is for triggering deep memory, strengthening longterm memory
Deng helping greatly, so θ ripple is referred to as ＂ and leads to the gate ＂ of memory and study.α ripple: learn and the optimal E.E.G state of thinking
(scope 8-13HZ).When the brain frequency of people is in α ripple, the Consciousness of people, but health loosens, and it provides
Consciousness and subconscious " bridge ".In this state, body and mind energy charge is minimum, and the energy that relative brain obtains is higher,
Running will be quicker, smooth and easy, sharp.α ripple is considered as the optimal E.E.G state of people's study and thinking.β ripple: nervous,
E.E.G state (scope 14HZ-30HZ) when pressure, brain fag.When people regain consciousness, most of the time brain frequency is in β ripple
State.Along with the increase of β ripple, health is gradually in tense situation, thus reduces vivo immuning system ability, the now energy of people
Consume aggravation, the most tired, if insufficient rest, easily pile up pressure (this is the common fault of modern).Suitable β ripple is to attention
Power promotes and the development of cognitive behavior has positive role.
The existing analysis method comparison to EEG signals is single, or only one EEG signals of collection is analyzed,
The most single β ripple signal, or the visual stimulus of user and EEG signals cannot be carried out the matching analysis so that vision
The impact stimulated cannot be analyzed accurately；Or the data obtained from collecting device are all stored, shift after the test
Process to computer, it is impossible to real-time processing data, not there is real-time.
Summary of the invention
In view of this, the purpose of the embodiment of the present invention is to provide a kind of signal processing method, Apparatus and system, to solve
The problems referred to above.
To achieve these goals, the technical scheme that the embodiment of the present invention uses is as follows:
First aspect, embodiments provides a kind of signal processing method, and described method includes: obtain user current
Depending on image information, receive the first EEG signals and the second EEG signals that two dry electrodes gather respectively；According to described
First EEG signals and described second EEG signals, the wavelength-division of the multiple frequency ranges obtaining described first EEG signals respectively is the most right
The parameter value that the parameter value answered and the wavelength-division of multiple frequency ranges of described second EEG signals be not corresponding；By described first brain telecommunications
Number the not corresponding parameter value of the wavelength-division of multiple frequency ranges and the wavelength-division of multiple frequency ranges of described second EEG signals corresponding
Parameter value and described image information are sent to host computer, so that described host computer is according to multiple frequencies of described first EEG signals
The parameter value of the wavelength-division not correspondence of the parameter value of the wavelength-division of section not correspondence and multiple frequency ranges of described second EEG signals, calculates
Going out finger target value to be measured, described image information is mated with described finger target value to be measured and stores by described host computer, analyzes
The described image information disturbance degree to described finger target value to be measured.
Second aspect, embodiments provides a kind of signal processing method, and described method includes: described host computer connects
Receive the parameter value of the wavelength-division not correspondence of multiple frequency ranges of the first EEG signals and the wavelength-division of multiple frequency ranges of the second EEG signals
Not corresponding parameter value and image information；The parameter value that the wavelength-division of the multiple frequency ranges according to described first EEG signals is not corresponding
And the parameter value that the wavelength-division of multiple frequency ranges of described second EEG signals is not corresponding, calculate finger target value to be measured；On described
Described image information is mated with described finger target value to be measured and stores by position machine, analyzes described image information to described to be measured
Refer to the disturbance degree of target value.
The third aspect, embodiments provides a kind of signal processing apparatus, and described device includes: first obtains mould
Block, for obtaining the image information that user is currently regarded, receives the first EEG signals that two dry electrodes gather and the respectively
Two EEG signals；Second acquisition module, for according to described first EEG signals and described second EEG signals, obtains respectively
The parameter value of the wavelength-division of multiple frequency ranges of described first EEG signals not correspondence and multiple frequency ranges of described second EEG signals
The not corresponding parameter value of wavelength-division；Sending module, for by the wavelength-division of multiple frequency ranges of described first EEG signals correspondence
Parameter value and described image information that the wavelength-division of multiple frequency ranges of parameter value and described second EEG signals is not corresponding send
To host computer so that described host computer according to the not corresponding parameter value of the wavelength-division of multiple frequency ranges of described first EEG signals and
The parameter value that the wavelength-division of multiple frequency ranges of described second EEG signals is not corresponding, calculates finger target value to be measured, described host computer
Described image information is mated with described finger target value to be measured and stored, analyzes described image information to described index to be measured
The disturbance degree of value.
Fourth aspect, embodiments provides a kind of signal processing apparatus, and described device includes: receiver module, uses
Parameter value that the wavelength-division of the multiple frequency ranges receiving the first EEG signals in described host computer is not corresponding and the second EEG signals
The parameter value of the wavelength-division of multiple frequency ranges not correspondence and image information；Computing module, for according to described first EEG signals
The parameter of the wavelength-division not correspondence of the parameter value of the wavelength-division of multiple frequency ranges not correspondence and multiple frequency ranges of described second EEG signals
Value, calculates finger target value to be measured；Matching module, for described host computer by described image information and described finger target value to be measured
Mate and store, analyzing the described image information disturbance degree to described finger target value to be measured.
5th aspect, embodiments provides a kind of signal processing system, and described system includes acquisition equipment, communication
Equipment and host computer, described acquisition equipment, for obtaining the image information that user is currently regarded, receive two dry electrodes respectively
The first EEG signals gathered and the second EEG signals；According to described first EEG signals and described second EEG signals,
Parameter value that the wavelength-division of the multiple frequency ranges obtaining described first EEG signals respectively is not corresponding and described second EEG signals
The parameter value that the wavelength-division of multiple frequency ranges is not corresponding；Communication equipment, for the wavelength-division by multiple frequency ranges of described first EEG signals
Not corresponding parameter value and the not corresponding parameter value of the wavelength-division of multiple frequency ranges of described second EEG signals and described image
Information is sent to host computer；Described host computer, is used for the wavelength-division correspondence of the multiple frequency ranges according to described first EEG signals
The parameter value that the wavelength-division of multiple frequency ranges of parameter value and described second EEG signals is not corresponding, calculates finger target value to be measured；
Described image information is mated with described finger target value to be measured and stored, analyzes described image information to described index to be measured
The disturbance degree of value.
Compared with prior art, the signal processing method of embodiment of the present invention offer, Apparatus and system, by receiving
The first EEG signals and the second EEG signals be analyzed process and calculate finger target value to be measured so that the result of analysis is more
Add accurately, and obtain the image information that user is currently regarded simultaneously, analyze described image information to described finger target value to be measured
Disturbance degree so that the result of analysis is more complete and accurate, further, by the ripple of multiple frequency ranges of described first EEG signals
The parameter value of the wavelength-division of the parameter value of difference correspondence and multiple frequency ranges of described second EEG signals not correspondence and described figure
As information is sent to host computer so that host computer can process by real-time carrying out.
For making the above-mentioned purpose of the present invention, feature and advantage to become apparent, preferred embodiment cited below particularly, and coordinate
Appended accompanying drawing, is described in detail below.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below by embodiment required use attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, and it is right to be therefore not construed as
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to according to this
A little accompanying drawings obtain other relevant accompanying drawings.
Fig. 1 be the embodiment of the present invention provide acquisition equipment, the schematic diagram that interacts with host computer of communication equipment.
Fig. 2 is the flow chart of a kind of signal processing method that first embodiment of the invention provides.
Fig. 3 is the flow chart of a kind of signal processing method that second embodiment of the invention provides.
Fig. 4 is the flow chart of a kind of signal processing method that third embodiment of the invention provides.
Fig. 5 is the structured flowchart of a kind of signal processing apparatus that first embodiment of the invention provides.
Fig. 6 is the structured flowchart of a kind of signal processing apparatus that second embodiment of the invention provides.
Detailed description of the invention
Below in conjunction with accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Ground describes, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments.Generally exist
Can arrange and design with various different configurations with the assembly of the embodiment of the present invention that illustrates described in accompanying drawing herein.Cause
This, be not intended to limit claimed invention to the detailed description of the embodiments of the invention provided in the accompanying drawings below
Scope, but it is merely representative of the selected embodiment of the present invention.Based on embodiments of the invention, those skilled in the art are not doing
The every other embodiment obtained on the premise of going out creative work, broadly falls into the scope of protection of the invention.
It should also be noted that similar label and letter represent similar terms, therefore, the most a certain Xiang Yi in following accompanying drawing
Individual accompanying drawing is defined, then need not it be defined further and explains in accompanying drawing subsequently.Meanwhile, the present invention's
In description, term " first ", " second " etc. are only used for distinguishing and describe, and it is not intended that indicate or hint relative importance.
Fig. 1 shows that acquisition equipment 100 that the embodiment of the present invention provides, communication equipment 400 interact with host computer 200
Schematic diagram.Described acquisition equipment 100 is connected with communication equipment 400, is communicatively coupled with host computer 200 by network 300,
To carry out data communication or mutual.
In the embodiment of the present invention, acquisition equipment 100 is for obtaining the signal that signal collecting device collects, signals collecting
Equipment such as can include the dry electrode of non-intrusion type being separately positioned on left and right frontal lobe, is arranged on the reference electrode of ear-lobe, and
Image collecting device etc..The dry electrode of non-intrusion type has broken away from the dependency to conducting medium, easy to use, portable, highly sensitive,
It is susceptible to environmental constraints, it is ensured that by the dry electrode of non-intrusion type gathered EEG signals accuracy.Can with user's sight line
Parallel position arranges image collecting device, such as photographic head, is used for obtaining the image that user is currently regarded.The embodiment of the present invention
In, acquisition equipment 100 receives the first EEG signals and the second EEG signals that two dry electrodes of non-intrusion type get respectively,
And obtain image acquisition device respectively to user institute visible image.
Described communication equipment 400 can be the communication equipment 400 supporting local area network communication, so that it is permissible to obtain equipment 100
In LAN, carry out data communication by communication equipment 400 and host computer 200, communicated so that acquisition sets by LAN
Standby data transmission between 100 and host computer 200 is more stable and convenient, and disclosure satisfy that real-time Transmission.
Described host computer 200 for the not corresponding parameter value of the wavelength-division of the multiple frequency ranges according to described first EEG signals with
And the parameter value that the wavelength-division of multiple frequency ranges of described second EEG signals is not corresponding, calculate finger target value to be measured；By described figure
As information is mated with described finger target value to be measured and stores, analyze the described image information shadow to described finger target value to be measured
Loudness.It is understood that described host computer 200 can be the webserver, database server, PC etc..
Fig. 2 shows the flow chart of a kind of signal processing method that first embodiment of the invention provides, and refers to Fig. 2, this
What embodiment described is the handling process of acquisition equipment, and described method includes:
Step S301, obtains the image information that user is currently regarded, and receives the first brain electricity that two dry electrodes gather respectively
Signal and the second EEG signals；
Wherein, working as image collecting device, such as photographic head, after collecting the image information that user is currently regarded, acquisition sets
The standby image information that acquisition user is currently regarded from described image collecting device.
Wherein, described first EEG signals and described second EEG signals are analogue signal.
Step S302, according to described first EEG signals and described second EEG signals, obtains described first brain respectively
Parameter value and the wavelength-division of multiple frequency ranges of described second EEG signals that the wavelength-division of multiple frequency ranges of the signal of telecommunication is not corresponding are the most right
The parameter value answered；
Wherein, the ripple of the plurality of frequency range includes: θ ripple, δ ripple, slow α ripple, fast α ripple, slow β ripple, fast β ripple, slow γ ripple, middle γ
Ripple.Described θ ripple be frequency be the ripple of 4-7Hz, described δ ripple be frequency be the ripple of 0-4Hz, described slow α ripple be frequency be 8-
The ripple of 10Hz, described fast α ripple be frequency be the ripple of 10-13Hz；Described slow β ripple be frequency be the ripple of 13-20；Described fast β ripple
Be frequency be the ripple of 20-35Hz；Described slow γ wave frequency be frequency be the ripple of 35-40；Described slow γ ripple be frequency be 40-
The ripple of 50.
By modes such as Fourier transformations, described first EEG signals can be decomposed into described first EEG signals many
The ripple of individual frequency range, and described second EEG signals is decomposed into the ripple of multiple frequency ranges of described second EEG signals.For the ease of
Signal processing and control, by described first EEG signals to the ripple of multiple frequency ranges and the described second multiple frequency range of EEG signals
The processes such as ripple carries out pretreatment, such as, filters noise reduction process, signal amplification, then will be through pretreated described first brain
The wavelength-division of the ripple of multiple frequency ranges of the signal of telecommunication and multiple frequency ranges of described second EEG signals does not carry out analog digital conversion.Wherein,
In the process of digital-to-analogue conversion, can with the not corresponding parameter value of the wavelength-division of multiple frequency ranges of the first EEG signals described in timing acquisition with
And the parameter value that the wavelength-division of multiple frequency ranges of described second EEG signals is not corresponding.For example, it is possible to obtained once every 1 second.
Step S303, the parameter value and described second not corresponding by the wavelength-division of multiple frequency ranges of described first EEG signals
Parameter value and described image information that the wavelength-division of multiple frequency ranges of EEG signals is not corresponding are sent to host computer, so that on described
Position machine is according to the not corresponding parameter value of the wavelength-division of multiple frequency ranges of described first EEG signals and described second EEG signals
The parameter value that the wavelength-division of multiple frequency ranges is not corresponding, calculates finger target value to be measured, and described host computer is by described image information and institute
State finger target value to be measured mate and store, analyze the described image information disturbance degree to described finger target value to be measured.
If it is understood that obtained once every 1 second, then, after obtaining, being sent in the packet of host computer include:
The θ ripple of the first EEG signals decomposition generation, δ ripple, slow α ripple, fast α ripple, slow β ripple, fast β ripple, slow γ ripple, middle γ ripple are obtaining that
Second parameter value, θ ripple corresponding to the second EEG signals, δ ripple, slow α ripple, fast α ripple, slow β ripple, fast β ripple, slow γ ripple, middle γ ripple exist
Obtain the parameter value of that second, and user is in institute's visible image information of that second of value that get parms.
The signal processing method that the embodiment of the present invention provides, by the first EEG signals received and the second brain electricity
Signal is analyzed process and calculates finger target value to be measured so that the result of analysis is more accurate, and to obtain user current simultaneously
Depending on image information, analyze the described image information disturbance degree to described finger target value to be measured so that the result of analysis is more
Complete and accurately, further, the parameter value that the wavelength-division of multiple frequency ranges of described first EEG signals is not corresponding and described
Parameter value and described image information that the wavelength-division of multiple frequency ranges of the second EEG signals is not corresponding are sent to host computer so that on
Position machine can process by real-time carrying out.
Fig. 3 shows the flow chart of a kind of signal processing method that second embodiment of the invention provides, and refers to Fig. 3, this
What embodiment described is the handling process of host computer, and described method includes:
Step S401, described host computer receive the not corresponding parameter value of the wavelength-division of multiple frequency ranges of the first EEG signals and
The parameter value of the wavelength-division of multiple frequency ranges of the second EEG signals not correspondence and image information；
The ripple of the plurality of frequency range includes: θ ripple, δ ripple, slow α ripple, fast α ripple, slow β ripple, fast β ripple, slow γ ripple, middle γ ripple.
Step S402, the parameter value not corresponding according to the wavelength-division of multiple frequency ranges of described first EEG signals and described the
The parameter value that the wavelength-division of multiple frequency ranges of two EEG signals is not corresponding, calculates finger target value to be measured；
Wherein, described index to be measured may include that emotion value, attention concentration degree or allowance.
As a kind of described mode, can be according to the fast α ripple of described first EEG signals, parameter value that slow α ripple is corresponding, institute
State the fast α ripple of the second EEG signals, parameter value that slow α ripple is corresponding, calculate emotion value；
Such as: calculate according to following formula:
αleft=fast αleft+ slow αleft；
αRight=Fast αright+ slow αright；
Emotion value=Log (αleft/αright)；
Wherein, fast αleftAnd slow αleftRepresent the fast α ripple of described first EEG signals, parameter that slow α ripple is corresponding respectively
Value, fast αrightAnd slow αrightRepresent the fast α ripple of described second EEG signals, parameter value that slow α ripple is corresponding respectively.
As another kind of described mode, can be according to the slow β ripple of described first EEG signals, fast β ripple, slow α ripple, fast α ripple
Corresponding parameter value, and the slow β ripple of described second EEG signals, fast β ripple, slow α ripple, parameter value that fast α ripple is corresponding, calculate
Attention concentration degree；
Such as: calculate according to following formula:
β=slowβleft+ slow βright+ fast βleft+ fast βright；
α=slow αleft+ slow αright+ fast αleft+ fast αright；
Attention concentration degree=beta/alpha；
Wherein, slow βleft, fast βleft, slow αleft, fast αleftRepresent respectively the slow β ripple of described first EEG signals, fast β ripple,
Slow α ripple, the parameter value that fast α ripple is corresponding, slow βright, fast βright, slow αright, fast αright, represent described second EEG signals respectively
Slow β ripple, fast β ripple, slow α ripple, parameter value that fast α ripple is corresponding.
As mode another described, can be according to the θ ripple of described first EEG signals, slow β ripple, fast β ripple, slow α ripple, fast
Parameter value that α ripple is corresponding and the θ ripple of described second EEG signals, slow β ripple, fast β ripple, slow α ripple, parameter value that fast α ripple is corresponding,
Calculate allowance.
Such as: calculate according to following formula:
θ=θleft+θright；
Allowance=(θ+α)/β；
Wherein, θleftThe parameter value that the θ ripple of the first EEG signals is corresponding, θrightθ ripple pair for described second EEG signals
The parameter value answered, described α and β carries out calculating according to above-mentioned formula.
Step S403, described image information is mated with described finger target value to be measured and stores by described host computer, point
Analyse the described image information disturbance degree to described finger target value to be measured.
Such as, when needing the face the analyzing difference expression disturbance degree to described finger target value to be measured, the such as face smiled
Hole, does not has the face of expression, and the disturbance degree that the face of sadness is to emotion value, can obtain user and see the face of different expression
The first eeg signal during hole and the second eeg signal, and obtain what now user saw face, described host computer meter
Calculate different described finger target value to be measured, by index to be measured corresponding from the face of different expressions for the face of described different expressions
Value is mated and stores, and analyzes the described image information disturbance degree to described finger target value to be measured, for example, it is possible to by dividing
Analysis obtains, and when there is sad face, the emotion value of user reduces.
The signal processing method that the embodiment of the present invention provides, by the first EEG signals received and the second brain electricity
Signal is analyzed process and calculates finger target value to be measured so that the result of analysis is more accurate, and to obtain user current simultaneously
Depending on image information, analyze the described image information disturbance degree to described finger target value to be measured so that the result of analysis is more
Complete and accurately, further, the parameter value that the wavelength-division of multiple frequency ranges of described first EEG signals is not corresponding and described
Parameter value and described image information that the wavelength-division of multiple frequency ranges of the second EEG signals is not corresponding are sent to host computer so that on
Position machine can process by real-time carrying out.
Fig. 4 shows the flow chart of a kind of signal processing method that third embodiment of the invention provides, and refers to Fig. 4, this
What embodiment described is acquisition equipment by the communication equipment handling process mutual with host computer, and described method includes:
Step S501, obtains the image information that currently regarded of user, and the first EEG signals of frontal lobe on the left of obtaining respectively
And the second EEG signals of right side frontal lobe；
Step S502, according to described first EEG signals and described second EEG signals, obtains described first brain respectively
Parameter value and the wavelength-division of multiple frequency ranges of described second EEG signals that the wavelength-division of multiple frequency ranges of the signal of telecommunication is not corresponding are the most right
The parameter value answered；
Step S503, the parameter value and described second not corresponding by the wavelength-division of multiple frequency ranges of described first EEG signals
Parameter value and described image information that the wavelength-division of multiple frequency ranges of EEG signals is not corresponding are sent to host computer；
Step S504, described host computer is according to the parameter value of the wavelength-division not correspondence of multiple frequency ranges of described first EEG signals
And the parameter value that the wavelength-division of multiple frequency ranges of described second EEG signals is not corresponding, calculate finger target value to be measured；
Step S505, described image information is mated with described finger target value to be measured and stores by described host computer, point
Analyse the described image information disturbance degree to described finger target value to be measured.
The signal processing method that the embodiment of the present invention provides, by the first EEG signals received and the second brain electricity
Signal is analyzed process and calculates finger target value to be measured so that the result of analysis is more accurate, and to obtain user current simultaneously
Depending on image information, analyze the described image information disturbance degree to described finger target value to be measured so that the result of analysis is more
Complete and accurately, further, the parameter value that the wavelength-division of multiple frequency ranges of described first EEG signals is not corresponding and described
Parameter value and described image information that the wavelength-division of multiple frequency ranges of the second EEG signals is not corresponding are sent to host computer so that on
Position machine can process by real-time carrying out.
Refer to Fig. 5, be the high-level schematic functional block diagram of a kind of signal processing apparatus that first embodiment of the invention provides.Institute
State signal processing apparatus and include the first acquisition module 110, the second acquisition module 120 and sending module 130.
Described first acquisition module 110, for obtaining the image information that user is currently regarded, receives two dry electrodes respectively
The first EEG signals gathered and the second EEG signals；
Described second acquisition module 120, for according to described first EEG signals and described second EEG signals, difference
Obtain the parameter value of the wavelength-division not correspondence of multiple frequency ranges of described first EEG signals and the multiple of described second EEG signals
The parameter value that the wavelength-division of frequency range is not corresponding；
Described sending module 130, for the parameter value that the wavelength-division of multiple frequency ranges of described first EEG signals is not corresponding
And the not corresponding parameter value of the wavelength-division of multiple frequency ranges of described second EEG signals and described image information are sent to upper
Machine, so that described host computer is according to the not corresponding parameter value of the wavelength-division of multiple frequency ranges of described first EEG signals and described the
The parameter value that the wavelength-division of multiple frequency ranges of two EEG signals is not corresponding, calculates finger target value to be measured, and described host computer is by described
Image information is mated with described finger target value to be measured and stores, and analyzes described image information to described finger target value to be measured
Disturbance degree.
The most each module can be by software code realization or by the realization of hardware such as IC chip.
Refer to Fig. 6, be the high-level schematic functional block diagram of the signal processing apparatus that second embodiment of the invention provides.Described letter
Number processing means includes receiver module 210, computing module 220 and matching module 230.
Described receiver module 210, the wavelength-division of the multiple frequency ranges receiving the first EEG signals for described host computer is the most corresponding
Parameter value and the not corresponding parameter value of the wavelength-division of multiple frequency ranges of the second EEG signals and image information；
Described computing module 220, for the parameter that the wavelength-division of the multiple frequency ranges according to described first EEG signals is not corresponding
The parameter value that the wavelength-division of multiple frequency ranges of value and described second EEG signals is not corresponding, calculates finger target value to be measured；
Described matching module 230, mates described image information also with described finger target value to be measured for described host computer
Store, analyze the described image information disturbance degree to described finger target value to be measured.
The most each module can be by software code realization or by the realization of hardware such as IC chip.
Referring to a kind of signal processing system that Fig. 1, Fig. 1 show that the embodiment of the present invention provides, described system includes obtaining
Taking equipment 100, communication equipment 400 and host computer 200.
Described acquisition equipment 100, for obtaining the image information that user is currently regarded, receives two dry electrode collections respectively
The first EEG signals and the second EEG signals；According to described first EEG signals and described second EEG signals, respectively
Obtain the parameter value of the wavelength-division not correspondence of multiple frequency ranges of described first EEG signals and the multiple of described second EEG signals
The parameter value that the wavelength-division of frequency range is not corresponding；
Described communication equipment 400, for the parameter value that the wavelength-division of multiple frequency ranges of described first EEG signals is not corresponding
And the not corresponding parameter value of the wavelength-division of multiple frequency ranges of described second EEG signals and described image information are sent to upper
Machine；
Described host computer 200, for the parameter value that the wavelength-division of the multiple frequency ranges according to described first EEG signals is not corresponding
And the parameter value that the wavelength-division of multiple frequency ranges of described second EEG signals is not corresponding, calculate finger target value to be measured；By described
Image information is mated with described finger target value to be measured and stores, and analyzes described image information to described finger target value to be measured
Disturbance degree.
It should be noted that each embodiment in this specification all uses the mode gone forward one by one to describe, each embodiment weight
Point explanation is all the difference with other embodiments, and between each embodiment, identical similar part sees mutually.
The signal processing apparatus that the embodiment of the present invention is provided, it realizes principle and the technique effect of generation and preceding method
Embodiment is identical, for briefly describing, and the not mentioned part of device embodiment part, refer in preceding method embodiment corresponding interior
Hold.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, it is also possible to pass through
Other mode realizes.Device embodiment described above is only schematically, such as, and the flow chart in accompanying drawing and block diagram
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this, each square frame in flow chart or block diagram can represent a module, program segment or the one of code
Part, a part for described module, program segment or code comprises holding of one or more logic function for realizing regulation
Row instruction.It should also be noted that at some as in the implementation replaced, the function marked in square frame can also be to be different from
The order marked in accompanying drawing occurs.Such as, two continuous print square frames can essentially perform substantially in parallel, and they are the most also
Can perform in the opposite order, this is depending on involved function.It is also noted that every in block diagram and/or flow chart
The combination of the square frame in individual square frame and block diagram and/or flow chart, can be with function or the special base of action performing regulation
System in hardware realizes, or can realize with the combination of specialized hardware with computer instruction.
It addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation
Point, it is also possible to it is modules individualism, it is also possible to two or more modules are integrated to form an independent part.
If described function is using the form realization of software function module and as independent production marketing or use, permissible
It is stored in a computer read/write memory medium.Based on such understanding, technical scheme is the most in other words
The part contributing prior art or the part of this technical scheme can embody with the form of software product, this meter
Calculation machine software product is stored in a storage medium, including some instructions with so that a computer equipment (can be individual
People's computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.
And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as memorizer (RAM, Random Access Memory), magnetic disc or CD.Need
Being noted that in this article, the relational terms of such as first and second or the like is used merely to an entity or operation
Separate with another entity or operating space, and exist any this between not necessarily requiring or imply these entities or operating
Actual relation or order.And, term " includes ", " comprising " or its any other variant are intended to nonexcludability
Comprise, so that include that the process of a series of key element, method, article or equipment not only include those key elements, but also wrap
Include other key elements being not expressly set out, or also include want intrinsic for this process, method, article or equipment
Element.In the case of there is no more restriction, statement " including ... " key element limited, it is not excluded that including described wanting
Process, method, article or the equipment of element there is also other identical element.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, that is made any repaiies
Change, equivalent, improvement etc., should be included within the scope of the present invention.It should also be noted that similar label and letter exist
Figure below represents similar terms, therefore, the most a certain Xiang Yi accompanying drawing is defined, is then not required in accompanying drawing subsequently
It is defined further and explains.
The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited thereto, and any
Those familiar with the art, in the technical scope that the invention discloses, can readily occur in change or replace, should contain
Cover within protection scope of the present invention.Therefore, protection scope of the present invention should described be as the criterion with scope of the claims.
Claims (10)
1. a signal processing method, it is characterised in that described method includes:
Obtain the image information that user is currently regarded, receive the first EEG signals and the second brain that two dry electrodes gather respectively
The signal of telecommunication；
According to described first EEG signals and described second EEG signals, obtain multiple frequencies of described first EEG signals respectively
The parameter value of the wavelength-division not correspondence of the parameter value of the wavelength-division of section not correspondence and multiple frequency ranges of described second EEG signals；
The parameter value not corresponding by the wavelength-division of multiple frequency ranges of described first EEG signals and described second EEG signals are many
Parameter value and described image information that the wavelength-division of individual frequency range is not corresponding are sent to host computer, so that described host computer is according to described
The parameter value of the wavelength-division of multiple frequency ranges of the first EEG signals not correspondence and the ripple of multiple frequency ranges of described second EEG signals
The most corresponding parameter value, calculates finger target value to be measured, and described host computer is by described image information and described index to be measured
Value is mated and stores, and analyzes the described image information disturbance degree to described finger target value to be measured.
Method the most according to claim 1, it is characterised in that obtain multiple frequency ranges of described first EEG signals respectively
The parameter value of the wavelength-division not correspondence of the parameter value of wavelength-division not correspondence and multiple frequency ranges of described second EEG signals, including:
The parameter value of the wavelength-division of multiple frequency ranges of the first EEG signals not correspondence described in difference timing acquisition and described second brain
The parameter value that the wavelength-division of multiple frequency ranges of the signal of telecommunication is not corresponding.
Method the most according to claim 1, it is characterised in that the ripple of the plurality of frequency range includes: θ ripple, δ ripple, slow α ripple,
Fast α ripple, slow β ripple, fast β ripple, slow γ ripple, middle γ ripple.
4. a signal processing method, it is characterised in that described method includes:
Described host computer receives parameter value and second EEG signals of the wavelength-division not correspondence of multiple frequency ranges of the first EEG signals
The not corresponding parameter value of the wavelength-division of multiple frequency ranges and image information；
Parameter value that the wavelength-division of the multiple frequency ranges according to described first EEG signals is not corresponding and described second EEG signals
The parameter value that the wavelength-division of multiple frequency ranges is not corresponding, calculates finger target value to be measured；
Described image information is mated with described finger target value to be measured and stores by described host computer, analyzes described image information
Disturbance degree to described finger target value to be measured.
Method the most according to claim 4, it is characterised in that described index to be measured includes: emotion value, attention are concentrated
Degree or allowance.
Method the most according to claim 5, it is characterised in that the ripple of the plurality of frequency range includes: θ ripple, δ ripple, slow α ripple,
Fast α ripple, slow β ripple, fast β ripple, slow γ ripple, middle γ ripple.
Method the most according to claim 6, it is characterised in that according to the wavelength-division of multiple frequency ranges of described first EEG signals
Not corresponding parameter value and the parameter value of the wavelength-division of multiple frequency ranges of described second EEG signals not correspondence, calculate finger to be measured
Target value, including:
Fast α ripple according to described first EEG signals, the parameter value that slow α ripple is corresponding, the fast α ripple of described second EEG signals, slow α
The parameter value that ripple is corresponding, calculates emotion value；
Slow β ripple according to described first EEG signals, fast β ripple, slow α ripple, parameter value that fast α ripple is corresponding, and described second brain
The slow β ripple of the signal of telecommunication, fast β ripple, slow α ripple, parameter value that fast α ripple is corresponding, calculate attention concentration degree；
The parameter value and described second that θ ripple according to described first EEG signals, slow β ripple, fast β ripple, slow α ripple, fast α ripple are corresponding
The θ ripple of EEG signals, slow β ripple, fast β ripple, slow α ripple, parameter value that fast α ripple is corresponding, calculate allowance.
8. a signal processing apparatus, it is characterised in that described device includes:
First acquisition module, for obtaining the image information that user is currently regarded, receives the first of two dry electrodes collections respectively
EEG signals and the second EEG signals；
Second acquisition module, for according to described first EEG signals and described second EEG signals, obtains described the respectively
The parameter value of the wavelength-division of multiple frequency ranges of one EEG signals not correspondence and the wavelength-division of multiple frequency ranges of described second EEG signals
Not corresponding parameter value；
Sending module, for the parameter value and described second that the wavelength-division of multiple frequency ranges of described first EEG signals is not corresponding
Parameter value and described image information that the wavelength-division of multiple frequency ranges of EEG signals is not corresponding are sent to host computer, so that on described
Position machine is according to the not corresponding parameter value of the wavelength-division of multiple frequency ranges of described first EEG signals and described second EEG signals
The parameter value that the wavelength-division of multiple frequency ranges is not corresponding, calculates finger target value to be measured, and described host computer is by described image information and institute
State finger target value to be measured mate and store, analyze the described image information disturbance degree to described finger target value to be measured.
9. a signal processing apparatus, it is characterised in that described device includes:
Receiver module, parameter value that the wavelength-division of the multiple frequency ranges receiving the first EEG signals for described host computer is not corresponding and
The parameter value of the wavelength-division of multiple frequency ranges of the second EEG signals not correspondence and image information；
Computing module, for the parameter value not corresponding according to the wavelength-division of multiple frequency ranges of described first EEG signals and described the
The parameter value that the wavelength-division of multiple frequency ranges of two EEG signals is not corresponding, calculates finger target value to be measured；
Matching module, mates described image information and stores with described finger target value to be measured for described host computer, point
Analyse the described image information disturbance degree to described finger target value to be measured.
10. a signal processing system, it is characterised in that described system includes acquisition equipment, communication equipment and host computer,
Described acquisition equipment, for obtaining the image information that user is currently regarded, receives the first of two dry electrodes collections respectively
EEG signals and the second EEG signals；According to described first EEG signals and described second EEG signals, obtain institute respectively
Parameter value that the wavelength-division of the multiple frequency ranges stating the first EEG signals is not corresponding and multiple frequency ranges of described second EEG signals
The parameter value that wavelength-division is not corresponding；
Described communication equipment, for the parameter value that the wavelength-division of multiple frequency ranges of described first EEG signals is not corresponding and described
Parameter value and described image information that the wavelength-division of multiple frequency ranges of the second EEG signals is not corresponding are sent to host computer；
Described host computer, for the parameter value not corresponding according to the wavelength-division of multiple frequency ranges of described first EEG signals and described
The parameter value that the wavelength-division of multiple frequency ranges of the second EEG signals is not corresponding, calculates finger target value to be measured；By described image information
Mate with described finger target value to be measured and store, analyzing the described image information disturbance degree to described finger target value to be measured.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610453318.4A CN106108847A (en) | 2016-06-21 | 2016-06-21 | Signal processing method, Apparatus and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610453318.4A CN106108847A (en) | 2016-06-21 | 2016-06-21 | Signal processing method, Apparatus and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106108847A true CN106108847A (en) | 2016-11-16 |
Family
ID=57471135
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610453318.4A Pending CN106108847A (en) | 2016-06-21 | 2016-06-21 | Signal processing method, Apparatus and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106108847A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106682605A (en) * | 2016-12-20 | 2017-05-17 | 广州视源电子科技股份有限公司 | Method of identifying brain electricity relaxation degree and system thereof |
| CN106933247A (en) * | 2017-03-30 | 2017-07-07 | 歌尔科技有限公司 | The control method of unmanned plane, apparatus and system |
| CN108399007A (en) * | 2018-02-11 | 2018-08-14 | 广东欧珀移动通信有限公司 | The sampling interval method of adjustment and Related product of brain wave |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6292688B1 (en) * | 1996-02-28 | 2001-09-18 | Advanced Neurotechnologies, Inc. | Method and apparatus for analyzing neurological response to emotion-inducing stimuli |
| CN104138662A (en) * | 2013-05-10 | 2014-11-12 | 索尼公司 | Image display device and image display method |
| CN104871160A (en) * | 2012-09-28 | 2015-08-26 | 加利福尼亚大学董事会 | Systems and methods for sensory and cognitive profiling |
-
2016
- 2016-06-21 CN CN201610453318.4A patent/CN106108847A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6292688B1 (en) * | 1996-02-28 | 2001-09-18 | Advanced Neurotechnologies, Inc. | Method and apparatus for analyzing neurological response to emotion-inducing stimuli |
| CN104871160A (en) * | 2012-09-28 | 2015-08-26 | 加利福尼亚大学董事会 | Systems and methods for sensory and cognitive profiling |
| CN104138662A (en) * | 2013-05-10 | 2014-11-12 | 索尼公司 | Image display device and image display method |
Non-Patent Citations (3)
| Title |
|---|
| 曾红梅: "情绪图像视觉诱发EEG特征提取与分析", 《万方数据库》 * |
| 聂聃: "基于脑电的情绪识别研究综述", 《中国生物医学工程学报》 * |
| 赵欣欣: "基于EEG的广告效果评估研究及其应用", 《万方数据库》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106682605A (en) * | 2016-12-20 | 2017-05-17 | 广州视源电子科技股份有限公司 | Method of identifying brain electricity relaxation degree and system thereof |
| CN106682605B (en) * | 2016-12-20 | 2019-07-16 | 广州视源电子科技股份有限公司 | A kind of method and system identifying brain electricity allowance |
| CN106933247A (en) * | 2017-03-30 | 2017-07-07 | 歌尔科技有限公司 | The control method of unmanned plane, apparatus and system |
| CN108399007A (en) * | 2018-02-11 | 2018-08-14 | 广东欧珀移动通信有限公司 | The sampling interval method of adjustment and Related product of brain wave |
| CN108399007B (en) * | 2018-02-11 | 2021-08-24 | Oppo广东移动通信有限公司 | Brain wave sampling interval adjusting method and related product |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Cohen et al. | The segregation and integration of distinct brain networks and their relationship to cognition | |
| CN106569604A (en) | Audiovisual dual-mode semantic matching and semantic mismatch co-stimulus brain-computer interface paradigm | |
| Lepage et al. | The dependence of spike field coherence on expected intensity | |
| CN105496404A (en) | Assessment method of auxiliary CRS-R scale auditory shock based on brain-computer interface | |
| CN106108847A (en) | Signal processing method, Apparatus and system | |
| US20070225932A1 (en) | Methods, systems and computer program products for extracting paroxysmal events from signal data using multitaper blind signal source separation analysis | |
| CN114533086B (en) | Motor imagery brain electrolysis code method based on airspace characteristic time-frequency transformation | |
| CN110367976B (en) | Brain wave signal detection method, related device and storage medium | |
| CN105700687B (en) | Single examination time brain electricity P300 component detection methods based on folding HDCA algorithms | |
| CN109009098B (en) | Electroencephalogram signal feature identification method under motor imagery state | |
| CN106991409A (en) | A kind of Mental imagery EEG feature extraction and categorizing system and method | |
| Yang et al. | On the effectiveness of EEG signals as a source of biometric information | |
| CN110236534B (en) | Concentration assessment method based on electroencephalogram correlation network elasticity | |
| Christoforou et al. | Second-order bilinear discriminant analysis | |
| CN109276243A (en) | Brain electricity psychological test method and terminal device | |
| CN114145745B (en) | Graph-based multitasking self-supervision emotion recognition method | |
| CN106073767B (en) | Phase synchronization measurement, coupling feature extraction and the signal recognition method of EEG signal | |
| Boston et al. | Brainstem auditory-evoked potentials. | |
| Liu et al. | Training Accuracy Improvement for ERP Datasets by Employing Restart Learning Strategy | |
| Shojaedini et al. | A new method for detecting p300 signals by using deep learning: hyperparameter tuning in high-dimensional space by minimizing nonconvex error function | |
| CN110477912B (en) | Epilepsia electroencephalogram amplitude irreversibility analysis method based on equivalent arrangement and standard deviation | |
| Wang et al. | Training state and performance evaluation of working memory based on task-related EEG | |
| CN107292244A (en) | A kind of stress recognition methods, smart machine and computer-readable recording medium | |
| Wang et al. | The combination of CCA and PSDA detection methods in a SSVEP-BCI system | |
| CN106682605A (en) | Method of identifying brain electricity relaxation degree and system thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161116 |
|
| RJ01 | Rejection of invention patent application after publication |