CN103301571A - Auxiliary system for treating and recuperating symptoms caused by cranial nerve disorder and using method thereof - Google Patents
Auxiliary system for treating and recuperating symptoms caused by cranial nerve disorder and using method thereof Download PDFInfo
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Abstract
The invention discloses an auxiliary system for treating and recuperating symptoms caused by cranial nerve disorder and a using method thereof. The auxiliary system comprises a control module, a detection module, an analysis module, a regulation module, a treatment and recuperation circulation module and a music module, wherein the detection module is connected with the analysis module, the analysis module is connected with the regulation module, the regulation module is connected with the treatment and recuperation circulation module, the treatment and recuperation circulation module is connected with the detection module, and the control module controls the detection module, the analysis module and the music module. The auxiliary system designed in the invention integrates functions of detection, analysis and treatment and recuperation, and an effect of treating and recuperating symptoms caused by cranial nerve disorder can be effectively achieved after long-time use of the auxiliary system under a soothing effect of music.
Description
Technical field
The present invention relates to health and treat system, particularly relate to a kind of health and treat out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve.
Background technology
Brain kinetics disease (being the out-of-sequence symptom that causes of cranial nerve) refers to a kind of disease, its seriously improper on can embodiments, but do not have the imperfect of what physiology control system, and mainly be under the control functional parameter, to lose to cause normal range.Common " brain kinetics disease " has cerebral palsy, infantile autism, network addiction, drug addiction, parkinson, senile dementia, pain, insomnia, depression, gynecological inflammation etc. at present.For this type of disease, generally be to adopt Drug therapy, but because the uniqueness of brain " thrombosis barrier ", so that the property of medicine is difficult to arrive brain, so effect is not good enough; The design of the present invention innovation a kind of health of non-medication treat out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve, it is basic to concern according to coming from physics magnetic field and the biological magnetic field nonlinear kinetics that presents that interacts, and the nonlinear kinetics marked feature of brain kinetics disease.
Summary of the invention
The objective of the invention is to solve the deficiency of above-mentioned technology, provide a kind of health to treat out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve.The aid system of the present invention's design integrates detection, analysis and health and treats, and cooperates the effect of releiving of music, behind the life-time service, can effectively reach the effect that health is treated the out-of-sequence symptom that causes of cranial nerve.
The technical solution used in the present invention is as follows: a kind of health is treated out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve, described aid system comprises control module, detecting module, analysis module, adjustment module, health treatment circulation module and music module, described detecting module linking parsing module, described analysis module connects adjustment module, described adjustment module connects health and treats circulation module, described health is treated circulation module and is connected detecting module, described control module is controlled respectively detecting module, analysis module and music module, wherein:
Control module is opened detecting module, detects by the EEG signals of detecting module to patient's cranial nerve, and the information of the EEG signals that obtains is sent into the analysis module analyzed area;
The automatic startup analysis module of control module reads the information of described EEG signals and analyzes, and analysis result is sent into adjustment module;
Adjustment module is regulated external physical magnetic field according to analysis module to the result of EEG signals information analysis;
The cranial nerve that circulation module acts on the patient is treated by health in external physical magnetic field after the adjustment, triggers EEG signals and changes;
According to the variation of EEG signals, repeat aforesaid operations, by instant fine setting external physical magnetic field, the health that circulates is treated;
The broadcast that music module continues can make patient's spirit be in the music of the state of releiving.
Further, the step of described analysis EEG signals information comprises:
Step 1, analyze the dynamic process of biological magnetic field EEG signals: make up a series of information transmission matrixes, characterize the dynamic process of EEG signals, and information transmission matrix calculus obtains the time series of the EEG signals information transmission accordingly; The amount of transmitted information of described information transmission matrix i line display from i electrode to other electrode positions comprises i electrode itself, and the j tabulation is shown in the quantity of information that j electrode place receives; The structure of described information transmission matrix and calculation procedure are:
The phase space that step 1.1, m of EEG sequence structure that each electrode detection in the detecting module is arrived tie up.At i electrode place, get one section from t[, 0] beginning, time window be the eeg data [x[, i] (t[, 0]) of 1024ms, x[, i] (t[, 0]+1), x[, i] (t[, 0]+2) ..., x[, i] (t[, 0]+1023)];
Step 1.2, according to step 1.1 compute vector [x[, i] (t), x[, i] (t+1), x[, i] (t[, 0]+2)] and drop on probability in phase space three n-dimensional subspace ns, and calculate its entropy H[X[, i] (t[, 0])], H[X[, j] (t[, 0]+k[, τ])] (t[of electrode j, 0]+k[, τ] entropy) and combination entropy H[X[, i] (t[, 0]), X[, j] (t[, 0]+k[, τ])], H[X[wherein, j] (t[, 0]+k[, τ])] be the t[of electrode j, 0]+k[, τ] entropy, τ be 1ms; Therefore be k[from i electrode to the delay j the electrode, τ] the information transmission can be determined by formula:
IT[，ij](t[，0]，k[，τ])＝H[X[，i](t[，0]+k[，τ])]-H[X[，i](t[，0]+k[，τ])]；
Step 1.3, determine t[, 0], and the span of k is 0 to 511, constructs thus an information transmission matrix, and obtains the time series of the information transmission; Calculate this time series with complexity, obtain from i electrode to j electrode in interval [t[, 0], t[, 0]+511] between the characteristic index of information transmission active level;
Step 1.4, increase t[gradually, 0] value, repeating step 1.1-1.3 obtains a series of information transmission matrixes and its corresponding time series;
Step 2, analysis EEG signals order degree: the time series that step 1 obtains is calculated its K[, c] complexity, with the portrayal sequence complexity based on K[, c] complexity is index, analyzes the order degree of the EEG signals that reflection brain information processing activity produces; Described K[, c] calculation procedure of complexity is:
Step 2.1, coarse pretreatment: for each the time series X=that obtains in the described step 1 (X[, 1], X[, 2] ..., X[, n]), at first try to achieve the meansigma methods of this sequence, again this sequence of reconstruct; Order is greater than the X[of meansigma methods, i] be 1, less than the X[of meansigma methods, i] be 0; With sequence (X[, 1], X[, 2] ..., X[, n]) be converted into a character string forms 0,1 sequence (s[, 1], s[, 2] ..., s[, n]);
Step 2.2, S=(s[, 1], s[, 2] ..., s[, m]) after add one or a string character Q, Q=s[, m+1] or Q=(s[, m+1], s[, m+2] ..., s[, m+k]), obtain character string SQ=(s[, 1], s[, 2] ... s[, m], s[, m+1]) or SQ=(s[, 1], s[, 2] ..., s[, m], s[, m+1], s[, m+2] ..., s[, m+k]), make that SQv is that SQ deducts the resulting character string of last character; If Q belongs to " words and expressions " (being the character string of point-to-point transmission) among the SQv, Q is added in is " copying " behind the S so; Otherwise then be " insertion ";
Step 2.3, repeating step 2.2 obtain corresponding character string, and the number of the section that is divided into is " complexity " C (n);
Step 2.4, the C (n) that all X are belonged to [0,1] can tend to a definite value b (n).Come C (n) is carried out obtaining a relative complexity c (n)=C (n)/b (n) after the normalization with b (n), be K[, c] complexity; K[, c] complexity has reflected the random degree of seasonal effect in time series, if time series is periodic, K[, c] trend towards 0; If time series is random, K[then, c] trend towards 1.
Further, described adjustment module is regulated the concrete steps in external physical magnetic field and is:
Step 1, determine the mathematical model in external physical magnetic field: external physical magnetic field and its relevant parameter be following to satisfy equation:
In the equation, γ, κ, ζ, F are the random parameter in physics magnetic field, the random setting in (0,5) scope;
υ is the driving frequency in physics magnetic field, and the numerical value of driving frequency υ is the K[by step 2.2.4 gained, c] complexity determines: as 0＜K[, c] * (1-K[, c])≤0.53 o'clock, driving frequency υ chooses numerical value at random in (0,0.53) scope; As 0.53＜K[, c] * (1-K[, c])≤0.8 o'clock, driving frequency υ chooses numerical value at random in (0.53,0.8) scope; As 0.8＜K[, c] * (1-K[, c])＜1 o'clock, driving frequency υ chooses numerical value at random in (0.8,1) scope;
The solution x of equation (t) is the mathematical model in external physical magnetic field;
The mathematical model x (t) in step 2, the external physical magnetic field that solves according to step 1 is by regulating, setting driving frequency υ and random parameter γ, κ, ζ, F regulate external physical magnetic field.
Further, the step of described triggering EEG signals biological magnetic field comprises:
Step 1, external physical magnetic trigger the neuron potential change, impel changing of EEG signals that cranial nerve sends;
Step 2, cranial nerve EEG signals change, and its seasonal effect in time series randomness strengthens, and " locking mode " progressively enters normally " chaos order ", and it is normal that cranial nerve function recovers.
Further, described health is treated setting, the regulation and control system that circulation module comprises the Automatic Cycle parameter.
Health provided by the invention is treated out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve, has filled up for brain kinetics disease health and has treated the out-of-sequence medical science blank that causes the aid system of symptom of cranial nerve; Health provided by the invention is treated out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve, can automatically detect, analyze for the out-of-sequence various symptom diseases that cause of cranial nerve, and automatically regulate the outside rhythm and pace of moving things according to different diseases, treat the effect of various disease conditions to reach health simultaneously.
Description of drawings
Fig. 1 is structural representation of the present invention;
Fig. 2 is principle schematic of the present invention;
Fig. 3 is application schematic diagram of the present invention;
Fig. 4 is the embodiments of the invention schematic diagram;
Wherein: 1 control module, 2 detecting modules, 3 analysis modules, 4 adjustment modules, 5 health are treated circulation module, 6 music modules.
The specific embodiment
One, basic definition:
As everyone knows, human brain is the most complicated so far system.Its complexity thinks that mainly brain is the self-organizing system of a chaos, opening on present Scientific Expression.The chaos open systems of such self-organizing is intersected by nearly 1,000 hundred million neurocyte and to be communicated, and the dynamic nonlinear organization that various neurotransmitteies (have been found that at present have kind more than 50) constantly transport represents.Various neurocytes are felt the each time variation (simply being interpreted as input information output each time) of consciousness along with people, be associated with other cells by positive feedback and negative feedback separately, thereby the trickle connection between the change neuron, the quality and quantity of change neurotransmitter.
In this self-organizing chaos open systems of brain, neuronic positive feedback effect is exactly with its function amplification, and negative feedback is exactly with its function inhibition or controls within the specific limits.Just as weather is too warm, our cooling of can perspiring, mercury dropped, we will shake all over to produce heat.But when positive feedback when being main, it is disorderly unordered that system can seem, and combine when positive and negative feedback, and a kind of new " chaos order " just may produce.
Healthy normal our life at the volley, this motion effects we everyone, and in different levels brain is produced quite unexpected " chaos order ".This " chaos order " produced all body and mind order known to us." chaos order " is not usually think unordered, but shows the meaning that has the universality feature.
Brain kinetics disease (being the out-of-sequence symptom that causes of cranial nerve) refers to a kind of disease, its seriously improper on can embodiments, but do not have the imperfect of what physiology control system, and mainly be under the control functional parameter, to lose to cause normal range.
Common " brain kinetics disease " has cerebral palsy, infantile autism, network addiction, drug addiction, parkinson, senile dementia, pain, insomnia, depression, gynecological inflammation etc. at present.
According to the Viewpoint Of Modern Neurophysiology achievement, neurotransmitter is a kind of brain control functional parameter, has had been found that at present 50 various neurotransmitters nearly.Seriously lack in the Parkinson's disease group as dopamine, as acetylcholine at seriously (30% lower than normal person) on the low side among the infantile autism disease group.
But neurotransmitter is not to be the unique of brain control functional parameter, otherwise the famine of dopamine just will be a kind of disease.
Therefore, the control functional parameter loses the nonlinear systemic disease that be a complexity normal range, no matter they have or not background or the root of chemical substance.In case the control functional parameter loses normal range, brain is in the zone that loses normal range, former should the vibration, stopped now vibration, perhaps, beginning is with a kind of new, and the mode of not expecting is vibrated, perhaps originally non-oscillating present vibration is got up, and is in a kind of " non-chaos order " state.Like this " non-chaos order " As time goes on progressively is tending towards locking, and histiocyte becomes stiff and sealing, limited " chaos order " required to external world opening of reaction, and the state of an illness is outbreak just.Blocked like this state is called " locking mode ".
How on the basis of breaking such " locking mode ", recover the open function of chaos of brain self-organizing, be only the basic place for the treatment of brain kinetics disease.
Two, the traditional treatment method of brain kinetics disease:
The control functional parameter in certain zone of brain has lost normal range and has caused brain kinetics disease, a kind of " extremely unsettled; dynamical system; a machine of infinite dimension ", traditional treatment and rehabilitation maneuver, being a kind of linearity and method reductionism of usefulness, is that " gene determines a peptide, determines a kind of clinical symptoms.Determine to adopt a kind of medicine, and weigh with a kind of clinical scale.This a kind of way has been dominated almost all researchs and neuropharmacological study and therapy.And neurotransmitter is above 50 kinds, thousands of kinds of cell types, add complicated electromagnet phenomenon, and continuously, be based on the unstability of autonomy at all levels, this by protein molecule until electroencephalogram----and still become any keyboard of a bit dead weldering by thinking so far, some point correspondence is chemically arranged therein." (see: Arnold J.Mandell; " From Molecular Biological Simplification to More Realistic Central Nervous System Dynamics:An Opinion; " [Psychiatry:Psychobiological Foundations of Clinical Psychiatry] (New York, 1985)).
Three, ultimate principle:
Basic foundation of the present invention comes from the nonlinear kinetics relation that physics magnetic field and biological magnetic field interact and present, and the nonlinear kinetics marked feature of brain kinetics disease.
Nonlinear dynamic system thinks, brain is exactly the control functional parameter actuator that various coupled oscillators consist of, because the whole body organ-tissue there's no one who doesn't or isn't moves in the biorhythm of brain control.The biorhythm that coupled oscillator is regulated is the essence of brain control functional parameter just.For example sleep is relevant with awakening and light, but is coupled in the brain thermoregulation rhythm and pace of moving things.
Whether just biorhythm normally the significant difference of brain " chaos order " and " non-chaos order ".Lose " the phase-locked zone " of normal range " locking mode " for brain control functional parameter.Use the chaotic dynamics computational methods, can obtain the phase contrast of basic biorhythm.Suppose that oscillator is powerful attraction limit cycle, thereby only consider phase place, because Oscillator Equation is 2 dimensions, coupled oscillator is 4 dimensions.When the rhythm and pace of moving things outside the phase-locked zone and interior rhythm and pace of moving things ratio are simple (such as 2: 1,3: 2,1: 1,2: 3,1: 2), brain is in " chaos order ", and remarkable ratio zone is narrow and small, and brain is in the biorhythm of " non-chaos order ".On frequency width of cloth plane, " chaos order " biorhythm is orderly, Chang Kejian rotation number p=M/N (M: interior biorhythm, N: the outer rhythm and pace of moving things).When stimulation amplitude and frequency descended outside, p descended.Outer amplitude is too little be not easy phase-locked.(seeing the coupled oscillator rule that Ge Lasi concludes).
Fine motion meeting as any one chaos system, butterfly is magnified until change whole system by feedback.Because the control function of the neurocyte in the specific region of brain chaotic dynamics disease or its existing function are locked in the limit cycle of sealing.And the first step of breaking such limit cycle only needs by means of the fine motion energy as a little the butterfly of outside.
No matter normally whether any one neurocyte, all is the whole inseparable part of brain, all affects the developing direction of other elements.
" the non-chaos order " in " the phase-locked zone " of brain kinetics disease must cause this regional biological magnetic field mutation.The mutation of such biological magnetic field embodies in its biological magnetic field frequency phase space.
The physics magnetic field that the continuous disturbance of outside fine motion energy produces, interact with the biological magnetic field in instant " phase-locked zone ", present strong nonlinear kinetics relation, but trigger action is mainly played in physics magnetic field, the energy of zone of action effect is mainly derived from biological magnetic field.Along with the continuous variation of the biological magnetic field in " phase-locked zone ", outside physics magnetic field is also constantly adjusted.The continuous variation of biological magnetic field is triggered in the external physical magnetic field of constantly adjusting, thereby forms the interaction ring of external physical magnetic field and inner biological magnetic field, and the center of gravity of the encircling kinetics tetometamorphism that to be the biological magnetic field in " phase-locked zone " produce.
Constantly change the external physical magnetic field of circulation and the effect between the biological magnetic field, so that the biorhythm of " phase lock mode " constantly changes, brain " phase-locked zone " in Rhizoma Nelumbinis close oscillator and constantly shake, mobile, conversion, thereby " phase-locked zone " constantly pushed the positive feedback loop of new direction, prevent simultaneously the runaway negative feedback loop of falling into oblivion in pure random manner, progressively enter the activation of this Region control function of brain and the order alive of control functional parameter (neurotransmitter etc.), progressively allow " locking mode " to enter normally " chaos order ", thereby reach the health treatment purpose of brain kinetics disease being carried out non-medicine.
Studies show that in a large number human brain is the system of a 26S Proteasome Structure and Function high complexity, and EEG signals be the Non-linear coupling of neurocyte bioelectric on time and space [all daybreaks. the research of cognitive potential spatiotemporal mode. the post-doctoral performance report .1999 of Institute of Developed Organisms, Academia Sinica], so EEG signals (with the brain electromagnetism) complexity that the tetometamorphism of cranial nerve biological magnetic field can develop from non-linear theory of chaotic dynamics is estimated, and the Complexity Measurement method has (the Babloyantz A such as typing dimension (fractal dimension) and Lyapunov index (L-exponential), Destex he A, Low-dimensional chaos in an instance of epilepsy, Proceedings of the National Academy of Science, USA 1986,83:3513～3517; Shi Zhuanhua, Shen Mowei. psychology midbrain electricity Study of The Methods. science of psychology, 2002,25 (1): 88～90).
The principle of the invention is according to nonlinear theory, further improve EEG signals Complexity Measurement analytical method, rely on K[, c] complexity (comprises K[, c] complexity and information transmission matrix (Information Transmission Matrix, ITM), sampling amount and the smoothness thereof of EEG signals are not strict with, need not also to consider whether it has the low-dimensional chaos characteristic, directly portray brain electromagnetism nonlinear change feature.
Based on K[, c] analytical method of complexity:
Kolmogorov (1965) proposes with the complexity measure of the bit number that produces the minimum computer program of given 0,1 sequence as sequence, the method of this portrayal sequence complexity is called algorithm complexity (Algorithm complexity) [Chen F, Xu JH, Gu FJ, etal.Dynamic process of information transmission complexity in human brain, Biological Cybernetics, 2000,83:355～366].Sequence complexity is new model appears in a time series with the growth of its length speed, showed sequence near random degree, behavioral characteristics [the Ziv J that can reflect a dynamic system, Lempe lA, On the complexity of finite sequences, IEEE Transactions on Information Theory, 1976,22:75～81].This algorithm is introduced in the analysis of brain electromagnetic signal, as the index that reflects the biological magnetic field order degree that brain information processing activity produces.Portray the mutation degree of brain biological magnetic field with the complexity of brain EEG signals, then according to the mutation degree situation of brain biological magnetic field, provide the driving frequency in external physical magnetic field and the parameter of generation physics magnetic field equation.
Four, specific embodiments of the invention and application thereof:
A kind of health is as shown in Figure 1 treated the out-of-sequence aid system that causes symptom of cranial nerve, it comprises control module 1, detecting module 2, analysis module 3, adjustment module 4, health treatment circulation module 5 and music module 6, detecting module 2 linking parsing modules 3, described analysis module 3 connects adjustment module 4, described adjustment module 4 connects health and treats circulation module 5, described health is treated circulation module 5 and is connected detecting module 2, and described control module 1 is controlled respectively detecting module 2, analysis module 3 and music module 6.Wherein, its using method is:
Step 1, control module 1 opened detecting module 2, and the EEG signals of the cranial nerve by 2 couples of patients of detecting module detects, and the information of the EEG signals that obtains is sent into analysis module 3 analyzed areas;
Step 2, control module 1 automatic startup analysis module 3 read the information of described EEG signals and analyze, and analysis result is sent into adjustment module 4;
Step 2.1, analyze the dynamic process of biological magnetic field EEG signals: make up a series of information transmission matrixes, characterize the dynamic process of EEG signals, and information transmission matrix calculus obtains the time series of the EEG signals information transmission accordingly; The amount of transmitted information of described information transmission matrix i line display from i electrode to other electrode positions comprises i electrode itself, and the j tabulation is shown in the quantity of information that j electrode place receives; The structure of described information transmission matrix and calculation procedure are:
The phase space that step 2.1.1, m of EEG sequence structure that each electrode detection in the detecting module 2 is arrived tie up.At i electrode place, get one section from t[, 0] beginning, time window be the eeg data [x[, i] (t[, 0]) of 1024ms, x[, i] (t[, 0]+1), x[, i] (t[, 0]+2) ..., x[, i] (t[, 0]+1023)];
Step 2.1.2, according to step 2.1.1 compute vector [x[, i] (t), x[, i] (t+1), x[, i] (t[, 0]+2)] and drop on probability in phase space three n-dimensional subspace ns, and calculate its entropy H[X[, i] (t[, 0])], H[X[, j] (t[, 0]+k[, τ])] (t[of electrode j, 0]+k[, τ] entropy) and combination entropy H[X[, i] (t[, 0]), X[, j] (t[, 0]+k[, τ])], H[X[wherein, j] (t[, 0]+k[, τ])] be the t[of electrode j, 0]+k[, τ] entropy, τ be 1ms; Therefore be k[from i electrode to the delay j the electrode, τ] the information transmission can be determined by formula:
IT[，ij](t[，0]，k[，τ])＝H[X[，i](t[，0]+k[，τ])]-H[X[，i](t[，0]+k[，τ])]；
Step 2.1.3, determine t[, 0], and the span of k is 0 to 511, constructs thus an information transmission matrix, and obtains the time series of the information transmission; Calculate this time series with complexity, obtain from i electrode to j electrode in interval [t[, 0], t[, 0]+511] between the characteristic index of information transmission active level;
Step 2.1.4, increase t[gradually, 0] value, repeating step 2.1.1-2.1.3 obtains a series of information transmission matrixes and its corresponding time series;
Step 2.2, analysis EEG signals order degree: the time series that step 2.1 obtains is calculated its K[, c] complexity, with the portrayal sequence complexity based on K[, c] complexity is index, analyzes the order degree of the EEG signals that reflection brain information processing activity produces; Described K[, c] calculation procedure of complexity is:
Step 2.2.1, coarse pretreatment: for each the time series X=that obtains in the described step 2.1 (X[, 1], X[, 2] ..., X[, n]), at first try to achieve the meansigma methods of this sequence, again this sequence of reconstruct; Order is greater than the X[of meansigma methods, i] be 1, less than the X[of meansigma methods, i] be 0; With sequence (X[, 1], X[, 2] ..., X[, n]) be converted into a character string forms 0,1 sequence (s[, 1], s[, 2] ..., s[, n]);
Step 2.2.2, S=(s[, 1], s[, 2] ..., s[, m]) after add one or a string character Q, Q=s[, m+1] or Q=(s[, m+1], s[, m+2] ..., s[, m+k]), obtain character string SQ=(s[, 1], s[, 2] ... s[, m], s[, m+1]) or SQ=(s[, 1], s[, 2] ..., s[, m], s[, m+1], s[, m+2] ..., s[, m+k]), make that SQv is that SQ deducts the resulting character string of last character; If Q belongs to " words and expressions " (being the character string of point-to-point transmission) among the SQv, Q is added in is " copying " behind the S so; Otherwise then be " insertion ";
Step 2.2.3, repeating step 2.2.2 obtain corresponding character string, and the number of the section that is divided into is " complexity " C (n);
Step 2.2.4, the C (n) that all X are belonged to [0,1] can tend to a definite value b (n).Come C (n) is carried out obtaining a relative complexity c (n)=C (n)/b (n) after the normalization with b (n), be K[, c] complexity; K[, c] complexity has reflected the random degree of seasonal effect in time series, if time series is periodic, K[, c] trend towards 0; If time series is random, K[then, c] trend towards 1;
Step 3, adjustment module 4 are regulated external physical magnetic field according to the result of 3 pairs of EEG signals information analysiss of analysis module;
Step 3.1, determine the mathematical model in external physical magnetic field: external physical magnetic field and its relevant parameter be following to satisfy equation:
In the equation, γ, κ, ζ, F are the random parameter in physics magnetic field, the random setting in (0,5) scope;
υ is the driving frequency in physics magnetic field, and the numerical value of driving frequency υ is the K[by step 2.2.4 gained, c] complexity determines: as 0＜K[, c] * (1-K[, c])≤0.53 o'clock, driving frequency υ chooses numerical value at random in (0,0.53) scope; As 0.53＜K[, c] * (1-K[, c])≤0.8 o'clock, driving frequency υ chooses numerical value at random in (0.53,0.8) scope; As 0.8＜K[, c] * (1-K[, c])＜1 o'clock, driving frequency υ chooses numerical value at random in (0.8,1) scope;
The solution x of equation (t) is the mathematical model in external physical magnetic field;
The mathematical model x (t) in step 3.2, the external physical magnetic field that solves according to step 3.1 is by regulating, setting driving frequency υ and random parameter γ, κ, ζ, F regulate external physical magnetic field;
The cranial nerve that circulation module 5 acts on the patient is treated by health in external physical magnetic field after step 4, the adjustment, triggers EEG signals and changes:
Step 4.1, external physical magnetic trigger the neuron potential change, impel changing of EEG signals that cranial nerve sends;
Step 4.2, cranial nerve EEG signals change, and its seasonal effect in time series randomness strengthens, and " locking mode " progressively enters normally " chaos order ", and it is normal that cranial nerve function recovers;
Step 6, in whole health treatment process, the broadcasts that music module 6 continues can make patient's spirit be in the music of the state of releiving.
Wherein, health is treated setting, the regulation and control system that circulation module 5 comprises the Automatic Cycle parameter.
Principle schematic as shown in Figure 2 at first detects the EEG signals of patient's cranial nerve, and for the phase-locked zone in the cranial nerve, the complexity of the EEG signals that it sends has namely reflected the tetometamorphism degree of biological magnetic field.Complexity according to EEG signals, regulate driving frequency and adjust external physical magnetic field, itself and patient's cranial nerve biological magnetic field is adapted, so that external physical magnetic field can be effectively and biological magnetic field interact, and then guiding, adjust the cranial nerve EEG signals, treat the purpose in phase-locked zone to reach health.
Application schematic diagram as shown in Figure 3, after opening native system, utilize releive patient's nerve of music, then patient's cranial nerve EEG signals is surveyed, the EEG signals complexity is analyzed, external physical magnetic field is regulated, itself and patient's cranial nerve biological magnetic field is adapted, and then by the external magnetic field patient is carried out health and treat, approximately continue 30 minutes, music is stopped, and health is treated and finished.
Application Example as shown in Figure 4, at first start the MFPT bed, until the patient lie low with the MFPT bed after, treat teacher (perhaps by the patient) by control module 1 unlatching native system by helping, then the MFPT bed is advanced under the ordering about of automatic travelling device, enter in the scope of detecting module 2 and analysis module 3, cranial nerve EEG signals to the patient under the control action of control module 1 detects automatically, and the EEG signals information of surveying analyzed automatically, then the MFPT bed continues to advance, arrive adjustment module 4 and health and treat the scope of circulation module 5, result according to analysis of complexity under the control action of control module 1 regulates external physical magnetic field, namely adjust driving frequency and the random parameter in external physical magnetic field, and then the biological magnetic field of external physical the action of a magnetic field in body after will adjusting, the patient is implemented health to be treated, and the progress for the treatment of by health, instant detects automatically to the patient, analyze, and the instant result of based on analysis gained finely tunes external physical magnetic field, the effectiveness for the treatment of to improve health, in addition, the music playing that music module 6 continues in whole health treatment process is used for so that patient's spirit is in the state of releiving; After approximately carrying out 30 minutes, music stops, and health is treated process and finished at this point, and the patient leaves the bed and gets final product.
It should be noted that at last, above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although with reference to preferred embodiment the present invention is had been described in detail, those of ordinary skill in the art is to be understood that, can make amendment or be equal to replacement technical scheme of the present invention, and not breaking away from the spirit and scope of technical solution of the present invention, it all should be encompassed in the middle of the claim scope of the present invention.
Claims (5)
1. a health is treated out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve, it is characterized in that: described aid system comprises control module (1), detecting module (2), analysis module (3), adjustment module (4), health is treated circulation module (5) and music module (6), described detecting module (2) linking parsing module (3), described analysis module (3) connects adjustment module (4), described adjustment module (4) connects health and treats circulation module (5), described health is treated circulation module (5) and is connected detecting module (2), described control module (1) is controlled respectively detecting module (2), analysis module (3) and music module (6), wherein:
Control module (1) is opened detecting module (2), detects by the EEG signals of detecting module (2) to patient's cranial nerve, and the information of the EEG signals that obtains is sent into analysis module (3) analyzed area;
Control module (1) automatically startup analysis module (3) reads the information of described EEG signals and analyzes, and analysis result is sent into adjustment module (4);
Adjustment module (4) is regulated external physical magnetic field according to analysis module (3) to the result of EEG signals information analysis;
The cranial nerve that circulation module (5) acts on the patient is treated by health in external physical magnetic field after the adjustment, triggers EEG signals and changes;
According to the variation of EEG signals, repeat aforesaid operations, by instant fine setting external physical magnetic field, the health that circulates is treated;
The broadcast that music module (6) continues can make patient's spirit be in the music of the state of releiving.
2. health according to claim 1 is treated out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve, and it is characterized in that: the step of described analysis EEG signals information comprises:
Step 1, analyze the dynamic process of biological magnetic field EEG signals: make up a series of information transmission matrixes, characterize the dynamic process of EEG signals, and information transmission matrix calculus obtains the time series of the EEG signals information transmission accordingly; The amount of transmitted information of described information transmission matrix i line display from i electrode to other electrode positions comprises i electrode itself, and the j tabulation is shown in the quantity of information that j electrode place receives; The structure of described information transmission matrix and calculation procedure are:
The phase space that step 1.1, m of EEG sequence structure that each electrode detection in the detecting module (2) is arrived tie up.At i electrode place, get one section from t[, 0] beginning, time window be the eeg data [x[, i] (t[, 0]) of 1024ms, x[, i] (t[, 0]+1), x[, i] (t[, 0]+2) ..., x[, i] (t[, 0]+1023)];
Step 1.2, according to step 1.1 compute vector [x[, i] (t), x[, i] (t+1), x[, i] (t[, 0]+2)] and drop on probability in phase space three n-dimensional subspace ns, and calculate its entropy H[X[, i] (t[, 0])], H[X[, j] (t[, 0]+k[, τ])] (t[of electrode j, 0]+k[, τ] entropy) and combination entropy H[X[, i] (t[, 0]), X[, j] (t[, 0]+k[, τ])], H[X[wherein, j] (t[, 0]+k[, τ])] be the t[of electrode j, 0]+k[, τ] entropy, τ be 1ms; Therefore be k[from i electrode to the delay j the electrode, τ] the information transmission can be determined by formula:
IT[，ij](t[，0]，k[，τ])＝H[X[，i](t[，0]+k[，τ])]-H[X[，i](t[，0]+k[，τ])]；
Step 1.3, determine t[, 0], and the span of k is 0 to 511, constructs thus an information transmission matrix, and obtains the time series of the information transmission; Calculate this time series with complexity, obtain from i electrode to j electrode in interval [t[, 0], t[, 0]+511] between the characteristic index of information transmission active level;
Step 1.4, increase t[gradually, 0] value, repeating step 1.1-1.3 obtains a series of information transmission matrixes and its corresponding time series;
Step 2, analysis EEG signals order degree: the time series that step 1 obtains is calculated its K[, c] complexity, with the portrayal sequence complexity based on K[, c] complexity is index, analyzes the order degree of the EEG signals that reflection brain information processing activity produces; Described K[, c] calculation procedure of complexity is:
Step 2.1, coarse pretreatment: for each the time series X=that obtains in the described step 1 (X[, 1], X[, 2] ..., X[, n]), at first try to achieve the meansigma methods of this sequence, again this sequence of reconstruct; Order is greater than the X[of meansigma methods, i] be 1, less than the X[of meansigma methods, i] be 0; With sequence (X[, 1], X[, 2] ..., X[, n]) be converted into a character string forms 0,1 sequence (s[, 1], s[, 2] ..., s[, n]);
Step 2.2, S=(s[, 1], s[, 2] ..., s[, m]) after add one or a string character Q, Q=s[, m+1] or Q=(s[, m+1], s[, m+2] ..., s[, m+k]), obtain character string SQ=(s[, 1], s[, 2] ... s[, m], s[, m+1]) or SQ=(s[, 1], s[, 2] ..., s[, m], s[, m+1], s[, m+2] ..., s[, m+k]), make that SQv is that SQ deducts the resulting character string of last character; If Q belongs to " words and expressions " (being the character string of point-to-point transmission) among the SQv, Q is added in is " copying " behind the S so; Otherwise then be " insertion ";
Step 2.3, repeating step 2.2 obtain corresponding character string, and the number of the section that is divided into is " complexity " C (n);
Step 2.4, the C (n) that all X are belonged to [0,1] can tend to a definite value b (n).Come C (n) is carried out obtaining a relative complexity c (n)=C (n)/b (n) after the normalization with b (n), be K[, c] complexity; K[, c] complexity has reflected the random degree of seasonal effect in time series, if time series is periodic, K[, c] trend towards 0; If time series is random, K[then, c] trend towards 1.
3. health according to claim 2 is treated out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve, it is characterized in that: the concrete steps that described adjustment module (4) is regulated external physical magnetic field are:
Step 1, determine the mathematical model in external physical magnetic field: external physical magnetic field and its relevant parameter be following to satisfy equation:
In the equation, γ, κ, ζ, F are the random parameter in physics magnetic field, the random setting in (0,5) scope;
υ is the driving frequency in physics magnetic field, and the numerical value of driving frequency υ is the K[by step 2.2.4 gained, c] complexity determines: as 0＜K[, c] * (1-K[, c])≤0.53 o'clock, driving frequency υ chooses numerical value at random in (0,0.53) scope; As 0.53＜K[, c] * (1-K[, c])≤0.8 o'clock, driving frequency υ chooses numerical value at random in (0.53,0.8) scope; As 0.8＜K[, c] * (1-K[, c])＜1 o'clock, driving frequency υ chooses numerical value at random in (0.8,1) scope;
The solution x of equation (t) is the mathematical model in external physical magnetic field;
The mathematical model x (t) in step 2, the external physical magnetic field that solves according to step 1 is by regulating, setting driving frequency υ and random parameter γ, κ, ζ, F regulate external physical magnetic field.
4. health according to claim 3 is treated out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve, and it is characterized in that: the step of described triggering EEG signals biological magnetic field comprises:
Step 1, external physical magnetic trigger the neuron potential change, impel changing of EEG signals that cranial nerve sends;
Step 2, cranial nerve EEG signals change, and its seasonal effect in time series randomness strengthens, and " locking mode " progressively enters normally " chaos order ", and it is normal that cranial nerve function recovers.
According to claim 1 or 4 described health treat out-of-sequence aid system and the using method thereof that causes symptom of cranial nerve, it is characterized in that: described health treatment circulation module (5) comprises setting, the regulation and control system of Automatic Cycle parameter.
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| CN201978306U (en) * | 2010-09-10 | 2011-09-21 | 李隆 | Computer-based body and mind health care system applying physical factors of music, color and light |
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| CN101099670A (en) * | 2007-06-15 | 2008-01-09 | 西安电子科技大学 | Nerve feedback treating device for insomnia |
| JP2011517962A (en) * | 2007-10-04 | 2011-06-23 | ニューロニクス エルティーディー． | Systems and methods for the treatment of medical conditions associated with the central nervous system and for enhancing cognitive function |
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