CN203208024U - Brain wave training instrument - Google Patents
Brain wave training instrument Download PDFInfo
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- CN203208024U CN203208024U CN201320046694.3U CN201320046694U CN203208024U CN 203208024 U CN203208024 U CN 203208024U CN 201320046694 U CN201320046694 U CN 201320046694U CN 203208024 U CN203208024 U CN 203208024U
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Abstract
The utility model provides a brain wave training instrument. The brain wave training instrument comprises sensors, a preprocessor and a post-processing controller, wherein the sensors, the preprocessor and the post-processing controller are sequentially connected. The sensors comprise a skin temperature sensor, a galvanic skin response sensor and a myoelectricity sensor. The preprocessor is used for carrying out preprocessing on signals from the sensors, and the post-processing controller is used for controlling the preprocessor and analyzing the signals from the preprocessor.
Description
Technical field
This utility model relates to the signal detection technique field, especially relates to a kind of brain electricity instrument for training.
Background technology
Bio-electric phenomenon is one of basic feature of vital movement, and countless cells just is equivalent to a miniature baby battery successively, is bioelectric source.There are many neurocytes in activity in the human brain, form the change of electrical equipment.That is to say have the swing of electrical equipment to exist.And this swing is presented on the scientific instrument, seems just as fluctuation.We are referred to as E.E.G electrical equipment vibrations in the brain.It is the bioenergy that is produced by brain cell, or the rhythm of brain cell activity.Human body exists bio-electric phenomenon too widely, because each histoorgan of human body all is made up of cell.Concerning brain, brain cell is exactly " small electric station " one by one in the brain.
Scientific research is found: on electroencephalogram, brain can produce four class brain waves.When you under tense situation, what brain produced is the β ripple; When you felt that sleepiness is dim, brain wave just became the θ ripple; When entering sound sleep, become the δ ripple; When your physical relaxation, brain is active, when inspiration is continuous, has just derived alpha wave.
The utility model content
The technical problem that this utility model solves is to provide a kind of brain electricity instrument for training.
In order to overcome the above problems, this utility model provides a kind of brain electricity instrument for training, comprise: the sensor that is linked in sequence, preprocessor and rearmounted processing controller, described sensor further comprises skin temperature sensor, skin electric transducer and hungry electric transducer, described preprocessor is used for the signal from sensor is carried out pretreatment, and rearmounted processing controller is used for preprocessor is controlled and to analyzing from the preprocessor signal.
Further, as preferably, described preprocessor further comprises a preamplifier, is used for the amplification to signal.
Further, as preferably, described preprocessor further comprises a 50Hz wave trap, is connected the preamplifier back, is used for the filtering to power frequency.
Further, as preferably, described preprocessor further comprises a high-pass and low-pass filter, is connected 50Hz wave trap back, is used for the filtering to signal.
Further, as preferably, described preprocessor further comprises A/D converter, is connected the high-pass and low-pass filter back, is used for signal is carried out the A/D conversion.
Further, as preferably, described preprocessor further comprises the usb communication interface, is connected the A/D converter back, is used for being connected with rearmounted processing controller.
Individual brain function state activity level can more directly effectively be monitored and assess to this utility model not only quantitatively; but also by adopting the control technique based on the biofeedback principle; make that individuality is convenient more regulates its brain function and cognitive state effectively, and promote its mental health and brain function protection and exploitation.
Description of drawings
When considered in conjunction with the accompanying drawings, by the reference following detailed, can more completely understand this utility model better and learn wherein many attendant advantages easily, accompanying drawing described herein is used to provide further understanding of the present utility model, constitute a part of the present utility model, illustrative examples of the present utility model and explanation thereof are used for explaining this utility model, do not constitute to improper restriction of the present utility model, wherein:
Fig. 1 is this utility model embodiment brain electricity instrument for training block diagram.
The specific embodiment
Followingly with reference to figure embodiment of the present utility model is described.
For above-mentioned purpose, feature and advantage can be become apparent more, below in conjunction with the drawings and specific embodiments this utility model is described in further detail.
As shown in Figure 1, a kind of brain electricity instrument for training, comprise: the sensor 2 that is linked in sequence, preprocessor 3 and rearmounted processing controller 4, described sensor 2 is gathered human body primary signal 1, further comprise skin temperature sensor 21, skin electric transducer 22 and hungry electric transducer 23, described preprocessor 3 is used for the signal from sensor 2 is carried out pretreatment, and rearmounted processing controller 4 is used for preprocessor 3 is controlled and to analyzing from preprocessor 3 signals.Described preprocessor 3 further comprises preamplifier 31,50Hz wave trap 32, high-pass and low-pass filter 33, A/D converter 34 and the usb communication interface 35 that is linked in sequence.
The concrete work of each several part is as follows:
1, skin temperature sensor
Because the size of critesistor is little, thermal capacity is little, precision is high, in biomedical measurement multiselect it as temperature-sensing element (device), require critesistor its resistance in human body temperature excursion (20～40 ℃) to be linear change.Skin temperature signal adopts the direct-current bridge temperature measuring equipment to carry out thermometric.
2, skin electric transducer
The skin electric transducer generally has two kinds of forms, and a kind of is two stainless electrode slices, and a kind of is two platings.
The contact electrode of AgCl.The latter gathers the signal of telecommunication because adopted nonconducting AgCl electrode by the electrochemical reaction of conductive paste between electrode and human body, has avoided the induced voltage that may exist owing to there is not good earth to the shock hazard of human body.But, because kind electrode need cooperate conductive paste to use together, and often cleaning and renewal of AgCl, so cost is than higher.In native system, adopt cheap stainless steel electrode, and in circuit design, used isolated amplifier, eliminated shock hazard effectively.
3, myoelectric sensor
So-called myoelectricity just refers to that the comprehensive electricity of a plurality of myocytes when excited and tranquillization changes.The principle that myoelectricity produces is because the potential difference that the motion of the middle cation of each myocyte (muscle fiber) and anion produces.Myocyte itself is equivalent to a biobattery, can be in polarization and depolarization two states.When myocyte's excitement or tranquillization, because the effect of depolarization and polarization again will produce certain bioelectric.
The collection of myoelectricity is to finish with reference to ground electrode by lay two potential electrodes and one at people's skin surface.It converts the ion current in the human body in circuit electric current, is actually a kind of special transducer, and electrode is made up of the dry Signa Gel that AgCl and outside comprise, and during use electrode is fixed on skin surface by adhesive sticker on every side.The AC impedance of kind electrode≤3k Ω, DC offset voltage≤100mV, interior noise≤150 μ V, and also very little to the stimulation of skin, satisfied through the experimental verification effect.In order to suppress useless signal, the equiva lent impedance that three electrodes of myoelectricity feedback apparatus and contact skin form should be in a basic balance, that is to say make three electrodes become equilateral triangle substantially that two potential electrode centre-to-centre spacing are with 2～3cm the best.And in test process, preferably guarantee the definitiveness of electrode riding position, even because dislocation of electrode 2mm also may cause very big error.
Aspect rearmounted data analysis, it mainly is the design of evaluation algorithms.The purpose of biofeedback is to improve loosens ability, and along with the raising of loosening ability, biofeedback signals will change.The function of the assay unit of software is followed algorithm exactly, and the signal of each passage of collecting is carried out the extraction of eigenvalue, and each eigenvalue that loosens the stage is compared, and finally draws the evaluation to this relaxation effect.Loosening stability is an important index estimating relaxation effect, supposes that X (k) is a discrete time series, and length is M, then calculates the formula that loosens stability to be
Following formula generally is used for the evaluation to the active degree of respiratory frequency, heart rate, myoelectricity.This test macro comprises Pi Wen, skin electricity, myoelectricity three road signals, respectively an introduction is done in the evaluation methodology of this three road signal below wherein.
1, Pi Wen
Show that according in the past achievement in research when using the skin temperature to carry out the biofeedback relaxation training, along with the raising of loosening ability, the skin temperature will rise, but peak or maximum that we can not simply reach according to the skin temperature are evaluated relaxation effect.This is because there is tangible individual variation in the baseline value of different its skin temperature of human body, and same individual's skin temperature baseline value neither be constant, and it significantly is subjected to influence of various factors such as room temperature, clothing, diet, motion and body temperature diurnal periodicity.In order to eliminate ectocine as far as possible, more objective appraisal learning effect, we adopt " intensification ability " this index to loosen the standard of ability as evaluation, and calculate by following formula:
98 °F (36.7 ° of C) in the formula are the maximum temperatures that skin Wen Suoneng reaches, and baseline value is 4 minutes skin temperature average under rest state.Wherein Fahrenheit, centigrade reduction formula are:
Along with the enforcement of relaxation training, the change that the numerical value of the intensification ability of Pi Wen can be gradually is big, and the ability of loosening that the measured is described is in gradually reinforcement.
2, skin
In the middle of each road signal, the frequency of skin electricity is minimum less than 1Hz, and apparent in view to the reacting condition of psychology, therefore estimates than being easier to.The skin signal of telecommunication comprises two kinds of signal components, a kind of is the quiescent value of people's skin resistance, it is DC component, another kind is the relative value of amplitude of variation, it is AC compounent, when the tested person reached the state that loosens, his DC component was presented as continuous downward trend, and AC compounent is presented as constantly reducing of peak-to-peak value.
3, myoelectricity
Moving cell is the least unit of musculation, also is the direct factor that electromyographic signal produces, when the people's
The muscular tone degree is not simultaneously, the moving cell quantity of participation activity is also inequality, accordingly, the amplitude of the electromyographic signal that produces and the frequency range of signal are also different, the amplitude of general electromyographic signal influences the signal frequency range of signal voltage size between 30～200Hz at several to dozens of μ V.The analytical method of myoelectricity is adopted the Digital Signal Processing of adaptive-filtering herein, different frequency to myoelectricity extracts, carry out evaluation analysis respectively, draw a comprehensive result then, only in this way could have one to estimate accurately to the very wide signal of frequency band.
Calculating electromyographic signal decline ability can carry out according to normalized form, and when measured's psychology and physiology loosening gradually, his myoelectricity level descends accordingly, is presented as the reinforcement of myoelectricity decline ability.
But training result is except relevant with the state of tested person own, and the influence of external environment also is very large, therefore, in order to obtain accurately objectively relaxation effect, must guarantee the correct of sensor wearing mode, test environment relatively stable, and the measured must adapt to environment facies.Under the normal situation, by relaxation training, the stability of breathing can be more steady, the baseline value of myoelectricity, skin electricity and blood volume should descend gradually, the baseline value of Pi Wen should rise gradually, therefore, also can evaluate the variation of the ability of being loosened by the trainer by baseline value in the relaxation training process.
Generally speaking; reflection organism physiology and biochemical signal or the parameter that changes are faint mostly; and; in order to reduce the interference of organism normal activity or to prevent injury to organism; always reduce the quantity of sampling quantity to human body in the measurement as much as possible, thus cause measured signal fainter [.A biomedicine signals hardware of data acquisition part mainly comprises several parts compositions such as biomedicine signals sensor, amplifier, wave filter, A/D converter, communication interface circuit.Because native system comprises Pi Wen, skin electricity, myoelectricity three road signals, can make evaluation result more objective, accurate by information fusion.But (in 0.5 ~ 1000Hz), and general amplitude is all little than religion, and therefore the performance to the aspects such as amplification, filtering and elimination noise jamming of circuit has all proposed very high requirement because the signal that relates to is in a very wide frequency range.Moreover, because the electrode of operative sensor is the metallic conduction thing, and instrument USB directly powers, and causes shock hazard because imperfect earth has too high induced voltage unavoidably, and therefore, it also is particularly important adding reliable quarantine measures in circuit.
Preamplifier is used for amplifying weak signal, earlier signal is filtered the strong signal of high frequency by electrochemical capacitor, comes amplifying signal by degenerative amplifier then.Power amplifier refers to amplify the power of AC signal, is exactly electric current and the voltage that amplifies electrical appliance under the distortionless situation of signal.
Wave trap is used in the signal of filtering unwanted frequency on the circuit, adds wave trap at the edge of band filter passband, the shunt-resonant circuit of normally connecting, or series loop in parallel, and their resonant frequency is exactly to want the frequency of filtering.
High-pass and low-pass filter is by useful signal zero-decrement passing through as far as possible, the decay big as far as possible to garbage signal, high-pass filtering and low-pass filtering are filtered out the ripple signal that is higher or lower than some threshold values in the ripple signal, keep the ripple signal that needs, wave filter has the frequency selection to the signal that passes through.
Analog-digital converter is A/D converter, or is called for short ADC, and typically referring to one is the electronic component of digital signal with analog-signal transitions.Common analog-digital converter is the digital signal that an input voltage signal is converted to an output.Because digital signal itself does not have practical significance, only represents a relative size.So any one analog-digital converter all needs one with reference to the standard of analog quantity as conversion, more common reference standard is maximum convertible signal magnitude.The digital quantity of output represents that then input signal is with respect to the size of reference signal.
The effect that rearmounted processing controller plays is: finish the setting to each channel sample frequency; Control multichannel A/D conversion; Receive host computer information, realize that host computer is to the control of hardware and to host computer transmission data.Whole procedure comprises that mastery routine and A/D gather subprogram two parts, mastery routine is mainly finished the sample frequency that intervalometer T0 controls each passage is set, opening T0 interrupts, arrange and gather and send two relief areas etc., after mastery routine receives the host computer command word, judge it is requirement transmission data or to the control of hardware according to communication protocol, if require the transmission data, then program is judged current transmission buffer pointer, send data according to certain format then, return initialize routine after being sent completely.Host computer mainly is according to software requirement change hardware amplification to the control of hardware, when being judged as PC control hardware command word, reads down the data that pass, and by electrical switch corresponding data is passed to hardware change amplification.Return initialize routine after change is finished, wait for host computer command word next time.The effect that A/D gathers subprogram mainly is to open the A/D sampling, opens different passages respectively, judges the pointer in acquisition buffer district at that time, and the data that collect are deposited in relief area according to certain form.
As mentioned above, embodiment of the present utility model is explained, but as long as not breaking away from inventive point of the present utility model and effect in fact can have a lot of distortion, this will be readily apparent to persons skilled in the art.Therefore, such variation also all is included within the protection domain of the present utility model.
Claims (6)
1. brain electricity instrument for training, it is characterized in that, comprise: the sensor that is linked in sequence, preprocessor and rearmounted processing controller, described sensor further comprises skin temperature sensor, skin electric transducer and myoelectric sensor, described preprocessor is used for the signal from sensor is carried out pretreatment, and rearmounted processing controller is used for preprocessor is controlled and to analyzing from the preprocessor signal.
2. brain electricity instrument for training according to claim 1 is characterized in that described preprocessor further comprises a preamplifier, is used for the amplification to signal.
3. as brain electricity instrument for training as described in the claim 2, it is characterized in that described preprocessor further comprises a 50Hz wave trap, is connected the preamplifier back, be used for the filtering to power frequency.
4. as brain electricity instrument for training as described in the claim 3, it is characterized in that described preprocessor further comprises a high-pass and low-pass filter, be connected 50Hz wave trap back, be used for the filtering to signal.
5. as brain electricity instrument for training as described in the claim 4, it is characterized in that described preprocessor further comprises A/D converter, be connected the high-pass and low-pass filter back, be used for signal is carried out the A/D conversion.
6. as brain electricity instrument for training as described in the claim 5, it is characterized in that described preprocessor further comprises the usb communication interface, be connected the A/D converter back, be used for being connected with rearmounted processing controller.
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| CN201320046694.3U CN203208024U (en) | 2013-01-28 | 2013-01-28 | Brain wave training instrument |
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| CN201320046694.3U CN203208024U (en) | 2013-01-28 | 2013-01-28 | Brain wave training instrument |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107890349A (en) * | 2017-12-14 | 2018-04-10 | 上海惠诚科教器械股份有限公司 | It is a kind of that training system is concentrated the mind on breathing based on brain wave Real-time Feedback |
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2013
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107890349A (en) * | 2017-12-14 | 2018-04-10 | 上海惠诚科教器械股份有限公司 | It is a kind of that training system is concentrated the mind on breathing based on brain wave Real-time Feedback |
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130925 Termination date: 20140128 |