CN101099670A - Nerve feedback treating device for insomnia - Google Patents
Nerve feedback treating device for insomnia Download PDFInfo
- Publication number
- CN101099670A CN101099670A CNA200710018070XA CN200710018070A CN101099670A CN 101099670 A CN101099670 A CN 101099670A CN A200710018070X A CNA200710018070X A CN A200710018070XA CN 200710018070 A CN200710018070 A CN 200710018070A CN 101099670 A CN101099670 A CN 101099670A
- Authority
- CN
- China
- Prior art keywords
- sleep
- stimulus
- complexity
- brain
- circuit
- 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.)
- Granted
Links
Images
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The present invention relates to a nerve feedback therapeutic equipment for effectively curing sleepless by utilizing computer and brain information interaction. Said equipment includes the following several portions: electrodes, signal preprocessing circuit, power amplification circuit, stimulation output circuit and computer on a chip. Said invention also provides its working principle and concrete operation method.
Description
Technical field
The invention belongs to the Medical Instruments technical field, relate to medical information and handle, further relate to the information interaction technology of utilizing computer and brain and realize the effective device of intervening of the personalization of insomnia.
Background technology
Sleep is human important physical process.During sleep, the intravital metabolism of machine and all physiological function levels reduce, and whole machine body is in inactive state.The judgement of sleeper effect not only will be seen the length of the length of one's sleep, the more important thing is to be decided by the degree of depth of sleeping.
Along with human progress and development, people's rhythm of life is more and more fast, and the stress that everyone lives daytime the puzzlement of many sleep disorder problems occurred increasing.Sleep disorder is caused by physiology and psychological two aspect factors.At present, sleep disorder patient's increase, in the Neuropsychiatry field, physiopsychology and clinical medicine circle are subjected to common attention, and brainstrust also finds, just lie dormant other pathological state of many sleep disorder patients itself.
The prefered method of Cure for insomnia disease still is a medicine undoubtedly, but the harm of having a sleepless night to human body that heals with medicine more and more causes concern, and except that side effect, drug dependence also is a major issue.In recent years, the method for non-drug therapy insomnia obtains paying attention to, and at present, the therapeutic instrument of non-drug therapy insomnia mainly contains following five kinds:
(1) acousto-optic brain adjusting apparatus, China Patent No.: 200420099351.4.This acousto-optic brain adjusting apparatus is made up of a programmable frequency controller and the stereophone that is attached thereto or the sunglasses of built-in shimmering device.By using pulsed tones and flashing light, brain is carried out acousto-optic to stimulate.By selecting the music or the flash signal of suitable frequency, when the patient is sleeping, play with earphone, be aided with shimmering irradiation, be of value to and regulate the frequency that patient's brain wave enters expection, can make brain wave enter α and the wavy attitude (Yang Lei of θ slowly as the demulcent rhythm of ears beat, Chen Fengwen, Duan Meng, a kind of laser apparatus for curing insomnia).
(2) brain electric stimulating instrument is as China Patent No.: 92111879.1.All activities of human brain all are bioelectrics, and our all thinkings, sensation and body kinematics all are based on the little electric current that runs through brain to be caused, and nervous system weak current pulse in addition can change people's physiology and mental status.Electric stimulating instrument can send the adjustable weak current pulse of waveform, frequency and amplitude to brain by the special fixed eyes electrode that is easy to, and the brain electric stimulating instrument can allow user comparatively fast enter sleep state (Huang Cheng woods, apparatus for curing insomnia).
The brain electric stimulating instrument is the microcomputerized controller of a hand size, and it can send the adjustable weak current pulse of waveform, frequency and amplitude to brain by the special fixed eyes electrode that is easy to, and the brain electric stimulating instrument can allow user enter sleep state rapidly.Experience shows, the brain wave rhythm and pace of moving things during according to human body tranquillization or physiologic sleep and selected current parameters, the best results of acquisition, electroencephalogram studies confirm that, the brain wave of this moment mainly is α ripple and θ ripple, and these two kinds of slow waves are brain main electrical activity forms when being in inhibitory state.
The mechanism that low-frequency electric pulse stimulates, it is generally acknowledged that low-frequency electric pulse repeats dull electricity irritation, structure has caused the spreading depression effect under cerebral cortex, cortex, make cortex suppress to cause sleep to network structure generation initiative, also the someone thinks that electricity irritation has suppressed the result of the waking center in the network structure, and the somebody thinks that it mainly is the effect of hint.
(3) low frequency magnetic field inducing instrument: than electricity irritation, the magnetic stimulation has tangible characteristics.Magnetic stimulates and has reduced the side effect such as memory impairment that electricity irritation may bring, and therefore more and more is subject to people's attention.A kind of instrument based on this kind thought is coupled into brain with the extraneous low frequency pulsed magnetic fields coils of the simulation EEG signals rule of particular design, forms faradic current in brain, acts on the different parts of brain, particularly the Hess district.Thereby trigger the active sleep maincenter, and make its and this pulsed magnetic field synchronous resonant, absorb energy, cause neural impulse and histiocytic increment reaction, initiatively to reticular system transmission information.Brain wave rhythm reduced neuronic excitement degree progressively to the transition of simulation S sleep brain wave rhythm gradually when pulsed magnetic field relaxed by simulation is clear-headed according to certain way, suppressed to occupy an leading position, thereby quickened the process of falling asleep.
(4) the biological synchroscope of brain electricity: the biological synchroscope of brain electricity is the principle according to operant conditioning reflex, utilize signal detection instrument monitoring brain wave, when signal of user takes place to give when synchronous for brain wave and setting signal, be generally sound or optical signal, like this by the training, user can reach regulate voluntarily and strengthen clinical be used for the treatment of the insomnia the needed E.E.G rhythm and pace of moving things.
(5) based on the acupoint stimulation method of the traditional Chinese medical science, China Patent No.: 200410077901.7,00103199.6,200420045289.0.
The common drawback of above-mentioned instrument is that the parameter of treatment moderate stimulation all is the same to all patients, is difficult at the individual definite suitable stimulus parameter of particular patient; In addition, because the mechanism of action of these methods does not understand that still the therapeutic effect of distinct methods is different because of different individualities, definite curative effect waits further confirmation.At present, yet there are no the individual variation that a kind of instrument showed can be according to patient's sleeping process state and sleep the time and produce adaptive stimulus modelity, thereby improve the report of sleep.
The content of invention
The nerve feedback treating device that the purpose of this invention is to provide a kind of insomnia, the individual variation that is showed during according to patient's sleeping process state and sleep produces adaptive stimulus modelity, to improve patient's insomnia effectively.
The object of the present invention is achieved like this:
The mechanism of institute of the present invention foundation: (1) Depth of sleep by stages.Current in the world sleep classification, promptly the feature according to electroencephalogram is divided into rapid eye movement REM sleep and non-rapid eye movement NREM sleep two big classes with sleep, and the NREM sleep can be divided into four different phases of degree, be denoted as first phase, second phase, three phases and the fourth phase by its degree of depth, add the preceding lucid interval of sleeping, sleep can be divided into six phases altogether.(2) feature of sleep cerebral electricity.Analysis according to sleep cerebral electricity, the quality of sleep can be quantitatively judged, after sleep cerebral electricity being handled, increase can be found along with Depth of sleep by time frequency analysis, wavelet transformation neutral net, comentropy scheduling theory, sleep cerebral electricity has tangible different characteristic, as Huang Liyu, Wang Wei's merit, Cheng Jing it, sleep classification research based on the cerebral cortex Mutual Information Theory, Acta Biophysica Sinica, 2001,17 (1): 98～104; Liu Jianping, Zheng Chongxun is based on the sleep sublevel method and the sleep quality evaluation studies of BP network, biomedical engineering's magazine, 2005,33 (06): 281～284.(3) recurrence of sleep cerebral electricity.Nearest studies show that, along with the intensification of sleep, the recurrence complexity of sleep cerebral electricity continues to descend, and the recurrence complexity of sleep cerebral electricity can be used as weighs simple and practical index of sleep quality.
According to above mechanism, technological thought of the present invention is to propose a kind of new quantitative target of measuring sleep quality, be the recurrence complexity of sleep cerebral electricity, design a kind of based on sleep quality brain electricity return complexity metric, the personalizable self adaptation determines the Insomnia therapy device of feedback parameter.
Insomnia therapy device of the present invention comprises: electrode, pretreatment unit, D/A conversion unit, output circuit is followed in power amplification and stimulation, wherein be connected with the sleep cerebral electricity analytic unit between pretreatment unit and the D/A conversion unit, the feeble computer signals that electrode picks up enters pretreatment unit by shielded conductor, and to carry out the brain tele-release of standard big, bandpass filtering, after power frequency trap and the analog digital conversion, enter the sleep cerebral electricity analytic unit and return complexity calculating, and determine stimulus modelity by D/A converting circuit, through power amplification circuit and stimulation output circuit, put on brain by scalp electrode and carry out electricity irritation successively.
Described electrode comprises scalp electrode and reference electrode, scalp electrode is distributed in F3, F4, these four positions of C3, C4 of scalp top, reference electrode then places ear-lobe A1 and A2, this electrode stimulates output circuit to be connected with pretreatment unit with following by means of bidirectional electronic switch simultaneously, alternately carries out two kinds of tasks of brain electricity irritation and brain wave acquisition.
Described sleep cerebral electricity analytic unit is the mini system that is formed by the singlechip CPU microprocessor, store EEG signals among the random access memory register RA M of this single-chip microcomputer mini system, in the read only memory ROM of this single-chip microcomputer mini system, be solidified with the brain electricity is returned the complexity Program for Calculation, the D/A converting circuit in this single-chip microcomputer mini system can produce the stimulus modelity of square wave, triangular wave and sinusoidal wave different wave and parameter by programming; By in described program, adding the frequency that delay procedure changes stimulus waveform, the amplitude of regulating stimulus waveform by the value that changes the digital-to-analogue conversion digital signal.
Utilize Insomnia therapy device of the present invention to carry out the nerve of insomnia is fed back the method for electricity irritation, comprise following process:
(1) enters in the random access memory ram of single-chip microcomputer mini system with electrode extraction 12 seconds the EEG signals of experimenter that is placed in human body head and after carrying out amplification filtering and analog digital conversion, and adopt the brains electricity to return the complexity computational algorithms by read only memory ROM to the four road EEG signals that enter this RAM and calculate the complexity value of brain electricity;
(2) according to the complexity value of brain electricity, determine the quantitative magnitude of Depth of sleep, promptly extract the meansigma methods that the different sleep period four road brain electricity of experimenter return complexity, this meansigma methods is the quantized result of Depth of sleep;
(3) according to the quantitative values of experimenter's Depth of sleep, generate the stimulus modelity of electricity irritation, promptly according to actual measurement sleep magnitude, be stimulations of sleeping of stimulus waveform and waveform parameter by predetermined stimulus modelity, and definite fixed stimulus modelity is as initial stimulation;
Same group of electrode when (4) passing through brain wave acquisition according to the stimulus modelity of determining acts on brain and carries out stimulating in 60 seconds;
Stop after (5) 60 seconds stimulating, begin to gather 12 seconds electric and calculating recurrence complexities of brain once more, understand the quantitative values of sleep quality under the new incentive condition, and stimulate and last time stimulated influence to compare this, determine the adjustment of next step stimulus modelity sleep.By this feedback control loop, just can reach the purpose that sleep quality is deepened and then improved to hypnotic.
Above-mentioned feedback electrical stimulation method wherein stimulated this with last time stimulating the influence to sleep to compare, and determined the adjustment of next step stimulus modelity, carried out according to the following procedure:
Improve if be judged to be sleep quality for the first time, then keep this stimulus modelity;
If judge that sleep quality is improvement for the second time, then stimulus modelity is carried out step increments, promptly in the stimulus parameter scope of allowing, stimulus frequency and stimulation amplitude distribution are increased 1Hz and 1V, the stimulus parameter that uses when this waveform is then changed a kind of waveform and is restarted from 1Hz, 1V to the maximum of allowing;
Descend if be judged to be sleep quality for the first time, then get back on the previous stimulus modelity;
If being judged to be sleep quality for the second time descends, then this stimulus modelity being carried out stepping successively decreases, promptly in the stimulus parameter scope of allowing, stimulus frequency and stimulation amplitude are reduced 1Hz and 1V respectively, the stimulus parameter that uses when this waveform is then changed a kind of waveform and is restarted from the maximum of allowing to the minima of allowing.
Above-mentioned feedback electrical stimulation method, wherein fixed initial stimulus modelity are to determine respectively according to the different parameters that returns complexity, promptly
Return complexity less than 0.2, need not stimulates;
Return complexity more than or equal to 0.2 again less than 0.4, the sine wave that adopts 1Hz, 1V is as initial stimulation;
Return complexity more than or equal to 0.4 again less than 0.6, the sine wave that adopts 5Hz, 5V is as initial stimulation;
Return complexity more than or equal to 0.6, the sine wave that adopts 10Hz, 10V is as initial stimulation.
The present invention compares with existing Insomnia therapy device has following advantage:
1. the present invention is owing to adopt four ad-hoc locations of distribution of electrodes on experimenter's scalp, thereby is convenient to brain wave acquisition and clinical practice, and effect of stimulation is good;
2. the present invention calculates its average again because employing returns complexity calculating to four road EEG signals respectively, draws the quantitative measurement of experimenter's Depth of sleep, and it is few not only to expend time in, and can reach the requirement of real-time processing brain electricity;
3. the present invention reduces the electrode that is placed on experimenter's scalp owing to adopt same group of electrode alternately to finish the overall process of brain electricity irritation and brain wave acquisition significantly, more suits clinical practice reality;
4. the present invention has overcome apparatus for curing insomnia stimulating method and the same not science situation of parameter thousand people in the past owing to adopt the relatively feedback treating method of front and back sleep quality adjustment stimulus parameter, has realized it being personalized treatment fully;
5. the present invention is owing to adopt the effect of brain electricity Quantitative Monitoring brain stimulation, so when having slept, do not produce the stimulation that stimulates or produce and can further keep this good sleep, and when sleep is bad, have multiple stimulus modelity adaptively changing, guarantee the good result of brain stimulation;
6. the present invention can improve the stability of system greatly owing to the interference protection measure that adopts software and hardware to combine.Experiment shows that the present invention can effectively improve insomnia, improves sleep quality.
Description of drawings
Fig. 1 is the principle assumption diagram of apparatus of the present invention
Fig. 2 is that the present invention extracts four-way brain electricity and implements the used distribution of electrodes figure of four-way electricity irritation
Fig. 3 is the power amplification circuit figure of stimulus waveform of the present invention
Fig. 4 is the regression figure of deep sleep of the present invention and waking state hypencephalon electricity
Fig. 5 is work process of the present invention and used stimulus modelity modified flow figure
With reference to Fig. 1, neural feedback Insomnia therapy device of the present invention comprises brain dateline skin electrode, reference electrode, pretreatment unit, sleep cerebral electricity analytic unit, D/A converting circuit, power amplification and stimulation output circuit composition.This pretreatment unit, sleep cerebral electricity analytic unit, D/A converting circuit, power amplification and follow and stimulate output circuit to be connected successively, wherein:
Electrode adopts the Ag/Cl disk electrode, is distributed in four positions of scalp top, F3, F4, C3, C4 place, and reference electrode A1 and A2 then place ear-lobe, as Fig. 2.This electrode is by a bidirectional electronic switch 74LS245, stimulates output circuit to be connected with pretreatment unit with following respectively, alternately carries out 12 seconds brain wave acquisitions and two kinds of tasks of 60 seconds cerebral irritations.The direction that this bidirectional electronic switch 74LS245 opens is to be controlled by the input/output port of CPU.
Pretreatment unit is by the amplification filtering trap circuit, analog to digital conversion circuit is formed, the first order of eeg amplifier constitutes voltage follower to improve the common mode rejection ratio and the input impedance of amplifying circuit by discharge circuit, consider the problem of power supply and power consumption, but amplifying circuit is selected the four high guaily unit operational amplifier chip LM324 of low voltage operating for use, its compact conformation, low in energy consumption, the second level of amplifying circuit is selected power amplification chip LM386 for use, the back level is a band filter, passband is 0.5～70Hz, high fdrequency component that can filtering brain electricity and some high-frequency interferencing signals, 60Hz power frequency filtering circuit is set in the trap circuit, through amplifying the EEG signals after nursing one's health, amplitude is between 0～5V.
Power amplification circuit is to be formed by the combination of circuits that two-stage calculation amplifier forms, as shown in Figure 3.Wherein first order follower circuit is realized and the impedance matching of prime, and second level operational amplifier is by feedback resistance R
fThe negative-feedback circuit that forms is realized power amplification, passes through resistance R between the dual-stage amplifier
iConnect, the amplification of whole power amplifier is
Brain electric treatment and control circuit that the sleep cerebral electricity analytic unit is formed by the singlechip CPU mini system are the monolithic processor controlled of C8051F020 by a CPU promptly.The non-volatile data storage and the input and output resource of this C8051F020 single-chip microcomputer is inner integrated one 12 figure place weighted-voltage D/A converter, 5 general 16 bit timing devices, internal programmable agitator, low-power consumption 128 bytes.Also comprise the random access memory ram of 64K and the read only memory ROM of 64K in the expanding system.D/A converting circuit in the utilization system can produce the stimulus modelity of square wave, triangular wave and sinusoidal wave different wave and parameter by programming, and can change the frequency of stimulus waveform by in program, adding delay procedure, the amplitude that the value of the digital signal by changing digital-to-analogue conversion is regulated stimulus waveform.Utilize single-chip microcomputer internal programmable agitator as single-chip system clock, inner reference voltage is as the reference voltage of D/A converting circuit, wherein the value of the depositor of D/A converting circuit is set in the interrupt service routine of intervalometer respectively, and starting conversion, transformation result is amplified through carried out amplitude by power amplifier shown in Figure 3.
Whole device is by 4 joint dry cell power supplies, wherein one tunnel process 3V three-terminal voltage-stabilizing is as the required power supply of C8051F020 single-chip microcomputer, other one the tunnel realizes the conversion of 5V to 24V voltage through 5～+/-24 power conversion module DC/DC, for output amplifier section circuit provides required power supply.Stimulator is by the four-way design, and the pattern that each passage stimulates is identical.
The work process of this device is: the feeble computer signals that scalp electrode picks up enters pretreatment unit by shielded conductor, the brain tele-release of carrying out standard is big, bandpass filtering, carry out analog digital conversion behind the power frequency trap, the EEG signals of carrying out after the analog digital conversion enters brain electric treatment and the control circuit that is formed by the singlechip CPU microprocessor, be stored among the random access memory register RA M, by in the read only memory ROM in advance program stored EEG signals returned complexity calculate, result after the calculating sends into D/A converting circuit, to determine stimulus modelity, exporting to power amplification circuit amplifies, waveform after amplifying and parameter stimulate output circuit to put on brain to scalp electrode output stimulating current by following, and experimenter's brain is implemented electricity irritation.The performance indications parameter of this electricity irritation is: (1) stimulus signal way of output: synchronous four-way; (2) stimulus frequency scope: 1Hz～25Hz; (3) stimulation amplitude scope: 1V～25V; (4) stimulus waveform is selected: square wave, sine wave, triangular wave, select automatically successively: the bandpass filtering scope of (5) EEG signals is 0.5Hz～70Hz, and the analog digital conversion sample rate is 100Hz.Whole stimulator is to be provided with four passages, and the stimulus modelity of each passage is identical.
With reference to Fig. 5, the present invention utilizes described device that the nerve of insomnia is fed back the method for electricity irritation, carries out according to the following procedure:
1, to system initialization.
2, gather 12 seconds four road brains.
Extract 12 seconds EEG signals of experimenter and carry out amplification filtering and mould with the electrode that is placed in human body head
Enter after the number conversion in the random access memory ram of single-chip microcomputer mini system, and by read only memory ROM the four road EEG signals that enter this RAM are returned complexity index and calculate, in order to the quantitative assessment Depth of sleep, and, determine the stimulus modelity adjustment according to quantitative situation.This recurrence complexity index algorithm defines by following description:
The original one dimension time series such as the electroencephalogram time series u of ordering for N
i, by the method for time delay, can rebuild and obtain one group of vector in the phase space:
Wherein τ is time delay, and m embeds dimension.
Adopt algorithm as described below to display on two dimensional surface above-mentioned vector, and then analyze between every bit is represented in the correlation properties of this sequence and the X-Y scheme time i and the time j whether exist the relation of recovery, such X-Y scheme is referred to as regression figure.
On mathematics, the regression figure computing formula can be expressed as
ε wherein
iBe by distance, ‖ ... ‖ represents norm, and Θ (x) is that (Θ (x)=1 is as x＞0 for the Heaviside function; Θ (x)=0 is as x≤0).
Embedding dimension m and time delay τ all get 3 in the calculating that this device carried out, by distance ε
iGet in all vector distance peaked 5%.
Behind the regression figure that obtains the brain electricity as stated above, it is the shared ratio of regression point on the regression figure that definition returns complexity:
This value that returns complexity is between 0～1.
According to returning complexity and the relation that the degree of depth of sleep is directly proportional substantially, can judge that sleep quality is good more, it is more little to return complexity; Sleeping, quality is poor more more, and it is big more to return complexity.(a) shown in the accompanying drawing 4 is sleep quality when higher, returns complexity and be 0.17 regression figure, (b) be sleep quality when not high, and the recurrence complexity is 0.71 regression figure.So the recurrence complexity index of sleep cerebral electricity can be used as a simple metric of sleep quality.
3, analyze brain electricity complexity, determine Depth of sleep.
According to the recurrence complexity index value of the EEG signals of calculating, directly the degree of depth magnitude of sleep is used and returned the complexity index representative.Promptly extract the meansigma methods that the different sleep period four road brain electricity of experimenter return complexity, this meansigma methods is the quantized result of Depth of sleep;
4. determine the stimulus modelity of electricity irritation by following different situations:
(1) if stimulate first,, pre-determines a fixed stimulus modelity as initial stimulation according to the quantitative assessment value of Depth of sleep.This initial stimulation determines that according to the size that returns complexity when returning complexity less than 0.2, time need not to stimulate; When returning complexity more than or equal to 0.2 again less than 0.4 the time, the sine wave that adopts 1Hz, 1V is as initial stimulation; When returning complexity more than or equal to 0.4 again less than 0.6, the sine wave that adopts 5Hz, 5V is as initial stimulation; When returning complexity more than or equal to 0.6, the sine wave that adopts 10Hz, 10V is as initial stimulation.
(2) if the stimulation of implementing is not to stimulate first at present, then by determining with this stimulation and last time stimulating the sleeper effect that produces to compare.
Stimulate change if A. find this, be judged to be sleep quality for the first time and make moderate progress, then keep this stimulus modelity along with stimulus parameter;
Be judged as for the second time improvement if B. be under this stimulus modelity condition, then this stimulus modelity is carried out step increments, this step increments, be meant in the stimulus parameter scope of allowing stimulus frequency and stimulation amplitude are increased 1Hz and 1V respectively, if the stimulus parameter that this waveform is used is then changed a kind of waveform and is restarted from 1Hz, 1V to the maximum of allowing.
Stimulate change if C. find this, be judged to be sleep quality for the first time and descend to some extent, then cancel current parameter adjustment, get back to previous stimulus modelity along with stimulus parameter;
Be judged to be for the second time sleep quality to descend if D. under this stimulus modelity condition be, then this stimulus modelity being carried out stepping successively decreases, this stepping is successively decreased, be meant in the stimulus parameter scope of allowing stimulus frequency and stimulation amplitude are reduced 1Hz and 1V respectively, if the stimulus parameter that this waveform is used has been reduced to the minima in the permissible range, then change a kind of waveform successively and restart from the maximum of allowing.
(5) according to the stimulus modelity of determining, the experimenter is implemented electricity irritation in 60 seconds of a new round.
Described stimulus modelity comprises waveform and parameter, and the used waveform of native system has three kinds, is followed successively by: square wave, sine wave, triangular wave; The every adjustment of parameter once will feedback be gathered 12 seconds EEG signals after stimulating 60 seconds, the influence of stimulus modelity adjustment to sleep understood in analysis, and being about to this stimulates and last time stimulated the influence to sleep to compare, and determines the adjustment of next step stimulus modelity.
Interference free performance of the present invention guarantees that by the aggregate measures of software and hardware combining promptly adopted differential amplifier circuit in input stage, this differential amplifier circuit has good common mode rejection ratio, generally reaches 80～90dB.When programming, adopt one-byte instruction more, and artificially insert some do-nothing instructions at key place, or with effective one-byte instruction Palingraphia; Insert the operation of single byte do-nothing instruction after double byte and three-byte instruction, protect when singlechip CPU is interfered, the mistake that program may occur shifts.When program is being subjected to may transfer to non-program area under the interferential situation, instruction redundancy no longer works, and software trap can utilize a key instruction, guides the program of catching into error handler by force.Software trap generally is arranged in untapped interrupt vector district, the breakaway poing place of untapped large stretch of read only memory ROM space, program area.The present invention has effectively prevented to disturb the influence to native system owing to taked these measures.
Claims (10)
1, a kind of nerve feedback treating device of insomnia, comprise: electrode, pretreatment unit, output circuit is followed in power amplification and stimulation, it is characterized in that being connected with between pretreatment unit and the power amplification circuit sleep cerebral electricity analytic unit, the feeble computer signals that electrode picks up enters pretreatment unit by shielded conductor, and to carry out the brain tele-release of standard big, bandpass filtering, the power frequency trap, the laggard brain electricity analytical unit of going into to sleep of analog digital conversion returns complexity and calculates, and determine stimulus modelity by D/A converting circuit, stimulate output circuit to give scalp electrode through power amplification circuit with following successively, brain is carried out electricity irritation.
2, device according to claim 1, it is characterized in that electrode comprises scalp electrode and reference electrode, scalp electrode is distributed in four positions of F3, F4, C3, C4 of scalp top, reference electrode then places two ear-lobe A1 and A2, this electrode is followed output circuit with pretreatment unit and stimulation simultaneously by means of bidirectional electronic switch and is connected, and alternately carries out two kinds of tasks of brain electricity irritation and brain wave acquisition.
3, device according to claim 1, it is characterized in that the sleep cerebral electricity analytic unit is by comprising: digital to analog converter, intervalometer, the internal programmable agitator, the singlechip CPU microprocessor mini system of random access memory ram and read only memory ROM forms, store EEG signals among the random access memory register RA M of this single-chip microcomputer mini system, in the read only memory ROM of this single-chip microcomputer mini system, be solidified with the brain electricity is returned the complexity Program for Calculation, the D/A converting circuit in this single-chip microcomputer mini system can produce square wave by programming, the stimulus modelity of triangular wave and sinusoidal wave different wave and parameter; By in described program, adding the frequency that delay procedure changes stimulus waveform, the amplitude of regulating stimulus waveform by the value that changes the digital-to-analogue conversion digital signal.
4, device according to claim 3, the parameter that it is characterized in that D/A converting circuit can be set by the programmable oscillator and the intervalometer of single-chip microcomputer inside, the reference voltage that is D/A converting circuit is the reference voltage of programmable oscillator inside, the value of the depositor of D/A converting circuit is set in the interrupt service routine of each intervalometer respectively, and starting conversion, transformation result is amplified through carried out amplitude by power amplifier.
5, device according to claim 1, it is characterized in that pretreatment unit is made up of eeg amplifier and analog-digital converter, this eeg amplifier adopts three grades of amplifications, the first order constitutes voltage follower by discharge circuit, the second level has been selected power amplification chip LM386 for use, and the back level adopts a band filter, and passband is 0.5～70Hz, and be provided with 60Hz power frequency filtering circuit in the circuit, the amplified signal amplitude is between 0～5V.
6, device according to claim 1 is characterized in that power amplification circuit is the negative-feedback circuit circuit that is formed by two-stage calculation amplifier, and amplification is
7, a kind of described device of claim 1 that utilizes feeds back the method for electricity irritation to the nerve of insomnia, comprises following process:
(1) enters in the random access memory ram of single-chip microcomputer mini system with electrode extraction 12 seconds the EEG signals of experimenter that is placed in human body head and after carrying out amplification filtering and analog digital conversion, and by read only memory ROM the four road EEG signals that enter this RAM are returned complexity index and calculate, draw the complexity value of brain electricity;
(2) according to the complexity value of brain electricity, determine the quantitative magnitude of Depth of sleep, promptly with the degree of depth magnitude that returns complexity index representative sleep, extract the meansigma methods that the different sleep period four road brain electricity of experimenter return complexity, as the quantized result of Depth of sleep;
(3) according to the quantitative values of experimenter's Depth of sleep, generate the stimulus modelity of electricity irritation, promptly according to actual measurement sleep magnitude, by stimulations of sleeping of predetermined stimulus modelity, and definite fixed stimulus modelity is as initial stimulation;
Same group of electrode when (4) passing through brain wave acquisition according to the stimulus modelity of determining carries out stimulating in 60 seconds to brain;
Stop after (5) 60 seconds stimulating, begin to gather 12 seconds electric and calculating recurrence complexities of brain once more, understand the quantitative values of sleep quality under the new incentive condition, and stimulate and last time stimulated influence to compare this, determine the adjustment of next step stimulus modelity sleep.
8, electrical stimulation method according to claim 7 is characterized in that stimulating and last time stimulated the influence to sleep to compare this, determines the adjustment of next step stimulus modelity, carries out according to the following procedure:
Improve if be judged to be sleep quality for the first time, then keep this stimulus modelity;
If judge that sleep quality is improvement for the second time, then stimulus modelity is carried out step increments, promptly in the stimulus parameter scope of allowing, stimulus frequency and stimulation amplitude distribution are increased 1Hz and 1V, the stimulus parameter that uses when this waveform is then changed a kind of waveform and is restarted from 1Hz, 1V to the maximum of allowing;
Descend if be judged to be sleep quality for the first time, then get back on the previous stimulus modelity;
If being judged to be sleep quality for the second time descends, then this stimulus modelity being carried out stepping successively decreases, promptly in the stimulus parameter scope of allowing, stimulus frequency and stimulation amplitude are reduced 1Hz and 1V respectively, the stimulus parameter that uses when this waveform is then changed a kind of waveform and is restarted from the maximum of allowing to the minima of allowing.
9, electrical stimulation method according to claim 7 is characterized in that fixed initial stimulus modelity is to determine respectively according to the different parameters that returns complexity, promptly
Return complexity less than 0.2, need not stimulates;
Return complexity more than or equal to 0.2 again less than 0.4, the sine wave that adopts 1Hz, 1V is as initial stimulation;
Return complexity more than or equal to 0.4 again less than 0.6, the sine wave that adopts 5Hz, 5V is as initial stimulation;
Return complexity more than or equal to 0.6, the sine wave that adopts 10Hz, 10V is as initial stimulation.
10, electrical stimulation method according to claim 7 is characterized in that EEG signals is returned complexity index to be calculated as:
To electroencephalogram time series u
i, by the method for time delay, rebuild and obtain one group of vector in the phase space:
Wherein τ is time delay, and m embeds dimension, and these two number averages get 3;
Described vector is displayed on two dimensional surface as regression figure, and it is that the shared ratio of regression point is on the brain electricity regression figure that definition brain electricity returns complexity:
Wherein
I, j=1 ..., N is the regression figure computing formula, ε
iBe by distance, get in all vector distance peaked 5%, ‖ ... ‖ represents norm, and Θ (x) is the Heaviside function, if x＞0, then Θ (x)=1; If x≤0 then Θ (x)=0, the value that returns complexity is between 0～1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB200710018070XA CN100496392C (en) | 2007-06-15 | 2007-06-15 | Nerve feedback treating device for insomnia |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB200710018070XA CN100496392C (en) | 2007-06-15 | 2007-06-15 | Nerve feedback treating device for insomnia |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101099670A true CN101099670A (en) | 2008-01-09 |
| CN100496392C CN100496392C (en) | 2009-06-10 |
Family
ID=39034244
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB200710018070XA Expired - Fee Related CN100496392C (en) | 2007-06-15 | 2007-06-15 | Nerve feedback treating device for insomnia |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN100496392C (en) |
Cited By (38)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101969849A (en) * | 2009-03-03 | 2011-02-09 | 丰田自动车株式会社 | Sleep stage determining device, sleep stage maintaining apparatus, and sleep stage determining method |
| CN102139139A (en) * | 2011-01-13 | 2011-08-03 | 中国医学科学院生物医学工程研究所 | Myoelectric feedback control electric stimulation device and control method thereof |
| CN102179001A (en) * | 2011-04-25 | 2011-09-14 | 暨南大学 | Sleep therapy apparatus based on electroencephalogram biofeedback and control method thereof |
| CN102343123A (en) * | 2010-07-29 | 2012-02-08 | 鼎迈医疗科技(苏州)有限公司 | Feedback type nervous electrical stimulation system and feedback control method thereof |
| CN102488517A (en) * | 2011-12-13 | 2012-06-13 | 湖州康普医疗器械科技有限公司 | Method and device for detecting burst suppression state in brain signal |
| US8478402B2 (en) | 2008-10-31 | 2013-07-02 | Medtronic, Inc. | Determining intercardiac impedance |
| CN103301571A (en) * | 2012-03-06 | 2013-09-18 | 王绍璠 | Auxiliary system for treating and recuperating symptoms caused by cranial nerve disorder and using method thereof |
| US8554325B2 (en) | 2007-10-16 | 2013-10-08 | Medtronic, Inc. | Therapy control based on a patient movement state |
| CN103372258A (en) * | 2012-04-12 | 2013-10-30 | 孙雪青 | Insomnia treatment instrument and insomnia treatment method |
| CN103394161A (en) * | 2013-07-16 | 2013-11-20 | 山西大学 | Cerebral alpha wave feedback regulation acupoint magnetic stimulation system |
| CN103908746A (en) * | 2013-01-08 | 2014-07-09 | 白舜 | Neural signal wireless transcription method and device |
| CN104769847A (en) * | 2013-03-15 | 2015-07-08 | 艾尔弗雷德·E·曼科学研究基金会 | High voltage monitoring successive approximation analog to digital converter |
| CN104825160A (en) * | 2015-04-13 | 2015-08-12 | 程深 | System for controlling brain nerve evoked potential through brain wave feedback and use method thereof |
| US9248288B2 (en) | 2007-09-26 | 2016-02-02 | Medtronic, Inc. | Patient directed therapy control |
| CN105999544A (en) * | 2016-05-04 | 2016-10-12 | 浙江大学 | Recording-stimulating mode switching device and application |
| CN106714678A (en) * | 2014-09-22 | 2017-05-24 | 波士顿科学神经调制公司 | Devices and methods to use power spectrum or signal association for pain management |
| US9706957B2 (en) | 2008-01-25 | 2017-07-18 | Medtronic, Inc. | Sleep stage detection |
| US9770204B2 (en) | 2009-11-11 | 2017-09-26 | Medtronic, Inc. | Deep brain stimulation for sleep and movement disorders |
| CN107281609A (en) * | 2016-04-01 | 2017-10-24 | 深圳市新元素健康管理有限公司 | The system and method that a kind of sleep quality improves |
| CN107789718A (en) * | 2017-11-23 | 2018-03-13 | 深圳佳莱知家科技有限公司 | A kind of Intelligent sleep-assisting system |
| US9924904B2 (en) | 2014-09-02 | 2018-03-27 | Medtronic, Inc. | Power-efficient chopper amplifier |
| CN108273191A (en) * | 2014-12-21 | 2018-07-13 | 徐志强 | It is avoided that the cranial nerve stimulating apparatus of overstimulation neuron |
| CN108498948A (en) * | 2018-03-29 | 2018-09-07 | 南京宽诚科技有限公司 | A kind of biology gastroenteritic power instrument |
| CN108837272A (en) * | 2018-03-30 | 2018-11-20 | 广东欧珀移动通信有限公司 | Stimulating method and related product |
| CN109091141A (en) * | 2018-07-25 | 2018-12-28 | 浙江理工大学 | A kind of sleep quality monitor and its monitoring method based on brain electricity and eye electricity |
| CN109224245A (en) * | 2018-10-16 | 2019-01-18 | 深圳贝仕达克技术股份有限公司 | Multifunction health-care instrument |
| CN109381178A (en) * | 2018-11-22 | 2019-02-26 | 深圳市康立高科技有限公司 | A kind of system of monitoring treatment insomnia |
| CN109568761A (en) * | 2018-11-09 | 2019-04-05 | 速眠创新科技（深圳）有限公司 | Control method, device and the sleep derivation instrument of sleep derivation instrument |
| CN109603003A (en) * | 2018-10-25 | 2019-04-12 | 中国中医科学院针灸研究所 | A kind of system based on 3D printing ear mold treatment depression |
| CN109603006A (en) * | 2019-01-30 | 2019-04-12 | 安徽效隆科技有限公司 | The controllable feedback electro photoluminescence platform of amplitude, phase based on brain electricity specific frequency |
| CN109925587A (en) * | 2019-03-18 | 2019-06-25 | 西安电子科技大学 | A kind of deep sleep improvement detection system and method based on biological low noise |
| CN110167630A (en) * | 2016-09-19 | 2019-08-23 | Nyx科技有限公司 | Multi-functional closed loop neural feedback stimulation apparatus and its method |
| CN110267585A (en) * | 2016-12-08 | 2019-09-20 | 皇家飞利浦有限公司 | Determine the corrected timing that the stimulation of object is supplied to during sleep |
| CN110314270A (en) * | 2019-04-30 | 2019-10-11 | 金脑元(武汉)医学生物科技有限公司 | Insomnia treatment system and insomnia therapeutic instrument based on cloud server |
| CN110772266A (en) * | 2019-10-15 | 2020-02-11 | 西安电子科技大学 | Method for regulating cognitive ability through real-time nerve feedback based on fNIRS |
| CN113577561A (en) * | 2021-09-10 | 2021-11-02 | 广东工业大学 | Method and device for inducing mental state through micro-current stimulation |
| CN113908397A (en) * | 2021-09-04 | 2022-01-11 | 武汉左点科技有限公司 | Insomnia treatment method and device based on brain wave monitoring technology |
| CN114343672A (en) * | 2013-10-14 | 2022-04-15 | 诺罗维吉尔公司 | Partial collection of biological signals, speech-assisted interface cursor control based on biological electrical signals, and arousal detection based on biological electrical signals |
-
2007
- 2007-06-15 CN CNB200710018070XA patent/CN100496392C/en not_active Expired - Fee Related
Cited By (54)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10258798B2 (en) | 2007-09-26 | 2019-04-16 | Medtronic, Inc. | Patient directed therapy control |
| US9248288B2 (en) | 2007-09-26 | 2016-02-02 | Medtronic, Inc. | Patient directed therapy control |
| US8554325B2 (en) | 2007-10-16 | 2013-10-08 | Medtronic, Inc. | Therapy control based on a patient movement state |
| US10165977B2 (en) | 2008-01-25 | 2019-01-01 | Medtronic, Inc. | Sleep stage detection |
| US9706957B2 (en) | 2008-01-25 | 2017-07-18 | Medtronic, Inc. | Sleep stage detection |
| US8478402B2 (en) | 2008-10-31 | 2013-07-02 | Medtronic, Inc. | Determining intercardiac impedance |
| CN101969849B (en) * | 2009-03-03 | 2012-05-02 | 丰田自动车株式会社 | Sleep stage determining device, sleep stage maintaining apparatus, and sleep stage determining method |
| CN101969849A (en) * | 2009-03-03 | 2011-02-09 | 丰田自动车株式会社 | Sleep stage determining device, sleep stage maintaining apparatus, and sleep stage determining method |
| US9770204B2 (en) | 2009-11-11 | 2017-09-26 | Medtronic, Inc. | Deep brain stimulation for sleep and movement disorders |
| CN102343123A (en) * | 2010-07-29 | 2012-02-08 | 鼎迈医疗科技(苏州)有限公司 | Feedback type nervous electrical stimulation system and feedback control method thereof |
| CN102139139A (en) * | 2011-01-13 | 2011-08-03 | 中国医学科学院生物医学工程研究所 | Myoelectric feedback control electric stimulation device and control method thereof |
| CN102179001A (en) * | 2011-04-25 | 2011-09-14 | 暨南大学 | Sleep therapy apparatus based on electroencephalogram biofeedback and control method thereof |
| CN102488517A (en) * | 2011-12-13 | 2012-06-13 | 湖州康普医疗器械科技有限公司 | Method and device for detecting burst suppression state in brain signal |
| CN103301571A (en) * | 2012-03-06 | 2013-09-18 | 王绍璠 | Auxiliary system for treating and recuperating symptoms caused by cranial nerve disorder and using method thereof |
| CN103301571B (en) * | 2012-03-06 | 2015-07-29 | 王绍璠 | Health treats the aid system of out-of-sequence the caused symptom of cranial nerve |
| CN103372258A (en) * | 2012-04-12 | 2013-10-30 | 孙雪青 | Insomnia treatment instrument and insomnia treatment method |
| CN103372258B (en) * | 2012-04-12 | 2016-04-27 | 孙雪青 | Apparatus for curing insomnia |
| CN103908746B (en) * | 2013-01-08 | 2016-05-04 | 白舜 | A kind of wireless dubbing method of nerve signal and device |
| CN103908746A (en) * | 2013-01-08 | 2014-07-09 | 白舜 | Neural signal wireless transcription method and device |
| CN104769847A (en) * | 2013-03-15 | 2015-07-08 | 艾尔弗雷德·E·曼科学研究基金会 | High voltage monitoring successive approximation analog to digital converter |
| CN104769847B (en) * | 2013-03-15 | 2018-02-13 | 艾尔弗雷德·E·曼科学研究基金会 | High pressure monitors gradual approaching A/D converter |
| CN103394161A (en) * | 2013-07-16 | 2013-11-20 | 山西大学 | Cerebral alpha wave feedback regulation acupoint magnetic stimulation system |
| CN114343672A (en) * | 2013-10-14 | 2022-04-15 | 诺罗维吉尔公司 | Partial collection of biological signals, speech-assisted interface cursor control based on biological electrical signals, and arousal detection based on biological electrical signals |
| US9924904B2 (en) | 2014-09-02 | 2018-03-27 | Medtronic, Inc. | Power-efficient chopper amplifier |
| CN106714678A (en) * | 2014-09-22 | 2017-05-24 | 波士顿科学神经调制公司 | Devices and methods to use power spectrum or signal association for pain management |
| CN108273191A (en) * | 2014-12-21 | 2018-07-13 | 徐志强 | It is avoided that the cranial nerve stimulating apparatus of overstimulation neuron |
| CN108273191B (en) * | 2014-12-21 | 2021-11-19 | 徐志强 | Cranial nerve stimulation device capable of avoiding over-stimulation of neurons |
| CN104825160B (en) * | 2015-04-13 | 2018-01-12 | 程深 | System for controlling brain nerve evoked potential through brain wave feedback and use method thereof |
| CN104825160A (en) * | 2015-04-13 | 2015-08-12 | 程深 | System for controlling brain nerve evoked potential through brain wave feedback and use method thereof |
| CN107281609A (en) * | 2016-04-01 | 2017-10-24 | 深圳市新元素健康管理有限公司 | The system and method that a kind of sleep quality improves |
| CN105999544A (en) * | 2016-05-04 | 2016-10-12 | 浙江大学 | Recording-stimulating mode switching device and application |
| CN105999544B (en) * | 2016-05-04 | 2019-10-18 | 浙江大学 | A kind of record-stimulus modality switching device and application |
| US11850420B2 (en) | 2016-09-19 | 2023-12-26 | Nyx Technologies Ltd. | Multifunctional closed loop neuro feedback stimulating device and methods thereof |
| CN110167630B (en) * | 2016-09-19 | 2023-12-22 | Nyx科技有限公司 | Multifunctional closed-loop nerve feedback stimulation equipment and method thereof |
| CN110167630A (en) * | 2016-09-19 | 2019-08-23 | Nyx科技有限公司 | Multi-functional closed loop neural feedback stimulation apparatus and its method |
| CN110267585A (en) * | 2016-12-08 | 2019-09-20 | 皇家飞利浦有限公司 | Determine the corrected timing that the stimulation of object is supplied to during sleep |
| CN110267585B (en) * | 2016-12-08 | 2022-05-31 | 皇家飞利浦有限公司 | Determining corrected timing of stimulation provided to a subject during sleep |
| CN107789718A (en) * | 2017-11-23 | 2018-03-13 | 深圳佳莱知家科技有限公司 | A kind of Intelligent sleep-assisting system |
| CN108498948A (en) * | 2018-03-29 | 2018-09-07 | 南京宽诚科技有限公司 | A kind of biology gastroenteritic power instrument |
| CN108837272A (en) * | 2018-03-30 | 2018-11-20 | 广东欧珀移动通信有限公司 | Stimulating method and related product |
| CN109091141A (en) * | 2018-07-25 | 2018-12-28 | 浙江理工大学 | A kind of sleep quality monitor and its monitoring method based on brain electricity and eye electricity |
| CN109224245A (en) * | 2018-10-16 | 2019-01-18 | 深圳贝仕达克技术股份有限公司 | Multifunction health-care instrument |
| CN109224245B (en) * | 2018-10-16 | 2024-03-15 | 深圳贝仕达克技术股份有限公司 | Multifunctional health care instrument |
| CN109603003A (en) * | 2018-10-25 | 2019-04-12 | 中国中医科学院针灸研究所 | A kind of system based on 3D printing ear mold treatment depression |
| CN109603003B (en) * | 2018-10-25 | 2024-03-19 | 中国中医科学院针灸研究所 | Ear mold treatment system based on 3D printing |
| CN109568761A (en) * | 2018-11-09 | 2019-04-05 | 速眠创新科技（深圳）有限公司 | Control method, device and the sleep derivation instrument of sleep derivation instrument |
| CN109381178A (en) * | 2018-11-22 | 2019-02-26 | 深圳市康立高科技有限公司 | A kind of system of monitoring treatment insomnia |
| CN109603006B (en) * | 2019-01-30 | 2023-05-02 | 安徽效隆科技有限公司 | Amplitude and phase controllable feedback electric stimulation platform based on specific frequency of brain electricity |
| CN109603006A (en) * | 2019-01-30 | 2019-04-12 | 安徽效隆科技有限公司 | The controllable feedback electro photoluminescence platform of amplitude, phase based on brain electricity specific frequency |
| CN109925587A (en) * | 2019-03-18 | 2019-06-25 | 西安电子科技大学 | A kind of deep sleep improvement detection system and method based on biological low noise |
| CN110314270A (en) * | 2019-04-30 | 2019-10-11 | 金脑元(武汉)医学生物科技有限公司 | Insomnia treatment system and insomnia therapeutic instrument based on cloud server |
| CN110772266A (en) * | 2019-10-15 | 2020-02-11 | 西安电子科技大学 | Method for regulating cognitive ability through real-time nerve feedback based on fNIRS |
| CN113908397A (en) * | 2021-09-04 | 2022-01-11 | 武汉左点科技有限公司 | Insomnia treatment method and device based on brain wave monitoring technology |
| CN113577561A (en) * | 2021-09-10 | 2021-11-02 | 广东工业大学 | Method and device for inducing mental state through micro-current stimulation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN100496392C (en) | 2009-06-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100496392C (en) | Nerve feedback treating device for insomnia | |
| WO2021203719A1 (en) | Acoustic-electric stimulation neuromodulation therapy and apparatus combining electroencephalogram testing, analysis and control | |
| CN101259302B (en) | Intelligent cranial nuclei electric stimulation system | |
| CN102526875B (en) | Digital insomnia therapeutic apparatus and treatment method | |
| CN103372258A (en) | Insomnia treatment instrument and insomnia treatment method | |
| CN102179001A (en) | Sleep therapy apparatus based on electroencephalogram biofeedback and control method thereof | |
| CN107281609A (en) | The system and method that a kind of sleep quality improves | |
| Liang et al. | Closed-loop seizure control on epileptic rat models | |
| CN105920735A (en) | Physical and psychological recovery feedback training device | |
| CN104587605A (en) | Electromyographic signal controlled peripheral magnetic stimulation system and method | |
| CN105125186B (en) | A kind of method and system of definite therapeutic intervention mode | |
| EP3957248A1 (en) | Systems, methods and devices for biomarker shaping and sleep profile enhancement | |
| CN203647868U (en) | Intelligent micro magnetic pulse therapeutic instrument | |
| CN104740766A (en) | Against-the-ear transcranial current stimulator | |
| CN202105317U (en) | Sleep treatment apparatus based on electroencephalogram biofeedback | |
| CN109718470A (en) | The In-Ear noninvasive nervus auricularis vagi stimulation instrument of one kind and its pulse output method | |
| CN101927052A (en) | Drug-detoxifying apparatus based on brain wave biofeedback | |
| CN202538166U (en) | Digital insomnia therapeutic apparatus | |
| CN103893915A (en) | Biological self-feedback sleep monitoring magnetic therapy apparatus | |
| CN202843601U (en) | Mental and physical physiotherapy health care instrument | |
| CN205988477U (en) | Physical and psychological rehabilitation feedback training device | |
| CN203280903U (en) | Transcutaneous vagus nerve stimulation system | |
| CN110491498A (en) | A kind of data receiver and processing method of brain wave signal | |
| CN205307611U (en) | Painful treatment device | |
| WO2021248914A1 (en) | Mental fatigue intervention device and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090610 Termination date: 20140615 |
|
| EXPY | Termination of patent right or utility model |