CN109984743A - A kind of health indicator analysis method based on resonance cell - Google Patents
A kind of health indicator analysis method based on resonance cell Download PDFInfo
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- CN109984743A CN109984743A CN201910316509.XA CN201910316509A CN109984743A CN 109984743 A CN109984743 A CN 109984743A CN 201910316509 A CN201910316509 A CN 201910316509A CN 109984743 A CN109984743 A CN 109984743A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
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Abstract
The health indicator analysis method based on resonance cell that the present invention relates to a kind of, including acquisition information, selected project, transmitting pulse, acquisition pulse, model foundation, offset judgement, tcm diagnosis, result judgement；The present invention obtains the superimposed pulse of user and normal frequency using resonance cell principle, by carrying out similarity-rough set with sample big data, obtains the cytopathy grade at each position of user, quickly definitely diagnoses the state of an illness for patient and doctor and provide objective reference result；The simple and easy to do, health indicator of the present invention obtain it is time-consuming it is short, based on clinical big data analysis, result it is reliable, can moral conduct it is strong；Sorted out by the sample to different basic physiological features, improves the reliability of testing result.
Description
Technical field
The invention belongs to magnetic resonance arts, and in particular to a kind of health indicator analysis method based on resonance cell.
Background technique
Sound has certain vibration frequency, and different vibration frequencies, and different characteristics is just imparted for different substances.
Such as in universe, each atom has its specific vibration frequency.Just because of this, the characteristic of this atom is maintained.
Likewise, our body be also by count in terms of trillion original it is molecular, each atom has the vibration frequency of oneself, these vibration
As soon as dynamic frequency is combined into a collective, at the vibration frequency of our bodies.So each human individual, has it exclusive
Vibration frequency, and this vibration frequency be exactly by all atoms, cell and the combined tool of organ, (triplicity)
So as to form the size and shape of parts of body.The generation root of disease is exactly human body by extraneous rugged environment, disease
The influence of the undesirable elements such as bacterium leads to intracellular frequency disorder, causes cell problem, generates morbid state so as to cause organ, finally
Human body is expressed in the form of disease.As it is carsick be exactly because the dirty engine with automobile of stomach of human body have occurred it is discordant
Infrasonic sound low-frequency resonance, and dizzy blood is exactly because discordant vision high-frequency resonance has occurred in optic nerve and bloody picture.Therefore
It can judge whether organ is in by detecting the frequency of abnormal cell and being compared the frequency with the normal frequency of cell
Normal state.
Summary of the invention
A kind of health indicator analysis based on resonance cell is provided the purpose of the present invention is overcome the deficiencies in the prior art
Method, health indicator acquisition is time-consuming short, reliable based on clinical big data analysis, result, can mention for medical staff's diagnostic analysis
For reference.
Technical scheme is as follows:
A kind of health indicator analysis method based on resonance cell, including
Acquisition information: the basic physiological sign of user is acquired；
Selected project: it is transferred from background data base according to selected detection project corresponding with user's basic physiological sign
Characteristic frequency；
Emit pulse: emitting transmitting arteries and veins identical with the vibration frequency of characteristic frequency to user's body according to detection project
Punching；
Acquisition pulse: the superimposed pulse of acquisition user biological electric field feedback；
Model foundation: by the normal frequency of the corresponding cell of different detection projects and transmitting pulse shaping normal resonant arteries and veins
Normal resonant model is established in punching, obtains normal resonant frequency；
Offset judgement: the similarity of current superimposed pulse Yu normal resonant pulse is calculated, according to similarity from database
Read corresponding cytopathy grade；
As a result judge: if cytopathy grade meets lesion tendency, exporting cytopathy grade；If cytopathy grade is not
Meet lesion tendency, re-emits pulse.
Further, the establishment step of the background data base includes: selection sample；To sample carry out information collection, in
Doctor's diagnosis and clinical detection；It is grouped according to basic physiological feature, and one by one by tcm diagnosis result and clinical detection result
It is corresponding.
Further, the acquisition of the normal frequency of the cell includes: to choose healthy body sample, healthy body sample bioelectricity
Field data acquisition.
Further, in the grouping of basic physiological feature, by the sample bio-electric field data of same sample and clinical inspection
Result is surveyed to correspond.
Further, the cytopathy grade is clinical medicine index.
Further, superimposed pulse and normal resonant pulse are analyzed by NLS NONLINEAR CALCULATION.
Further, the basic physiological sign includes: height, weight, age, gender.
Further, a kind of health indicator analysis method based on resonance cell is before result judgement further include:
Tcm diagnosis: tcm diagnosis is carried out to user and obtains pulse condition information, constitution information, and judges each position cell of user's body
Lesion tendency.
Compared with prior art, the beneficial effects of the present invention are:
The present invention using resonance cell principle obtain user and normal frequency superimposed pulse, by with sample big data into
Row similarity-rough set obtains the cytopathy grade at each position of user, quickly definitely diagnoses the state of an illness for patient and doctor and provides visitor
The reference result of sight；The present invention is simple and easy to do, health indicator acquisition time-consuming is short, it is reliable to be based on clinical big data analysis, result, can
Moral conduct is strong；Sorted out by the sample to different basic physiological features, improves the reliability of testing result.
Detailed description of the invention
Fig. 1 is flow diagram of the invention.
Fig. 2 is the circuit diagram of collector.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
A kind of health indicator analysis method based on resonance cell, including
Acquisition information: acquiring the basic physiological sign of user, substantially raw for transferring characteristic frequency from background data base
Managing sign includes: height, weight, age, gender；
Selected project: it is transferred from background data base according to selected detection project corresponding with user's basic physiological sign
Characteristic frequency selectes detection project by human-computer interaction；
Emit pulse: emitting transmitting arteries and veins identical with the vibration frequency of characteristic frequency to user's body according to detection project
Punching, the corresponding one or more specific pulse frequencies of each detection project；
Acquisition pulse: acquisition the feedback of user biological electric field superimposed pulse, superimposed pulse be by transmitting pulse with it is corresponding carefully
The bio-electric field of born of the same parents resonates to be formed；
Model foundation: by the normal frequency of the corresponding cell of different detection projects and transmitting pulse shaping normal resonant arteries and veins
Normal resonant model is established in punching, obtains normal resonant frequency, and the acquisition of the normal frequency of cell includes: to choose healthy body sample,
Healthy body sample bio-electric field data acquire, and include normal resonant frequency in healthy body sample bio-electric field data；
Offset judgement: the similarity of current superimposed pulse Yu normal resonant pulse is calculated, according to similarity from database
Corresponding cytopathy grade is read, cytopathy grade is clinical medicine index；
As a result judge: if cytopathy grade meets lesion tendency, exporting cytopathy grade；If cytopathy grade is not
Meet lesion tendency, re-emits pulse.
Preferably, a kind of health indicator analysis method based on resonance cell is before result judgement further include: in
Doctor's diagnosis: tcm diagnosis is carried out to user and obtains pulse condition information, constitution information, and judges the disease of each position cell of user's body
Become tendency, the mode of tcm diagnosis diagnoses diagnosis or instrument using several doctors.Wherein, when diagnosis, the transmitting of pulse and
Collector can be used in acquisition, and the circuit diagram of collector is as shown in Fig. 2, R1, R2, R3, R4 are respectively 0805 encapsulation in Fig. 2
Specification is the Chip-R of 0R, 4.7K, 100R, 10K, and Q1 is the triode that the specification of T0-92 encapsulation is S9014, and H1 and H2 are
DIP2 encapsulates the transmitting that specification is 3MM wavelength 940nm0.3W power and receives one to pipe, and Chinese patent can be used later
" a kind of detection and analysis equipment based on resonance cell " disclosed in 201720870993.7 carries out the pulse of the acquisition of collector
Analysis.
The establishment step of background data base includes: selection sample；Information collection, tcm diagnosis and clinical inspection are carried out to sample
It surveys；It is grouped according to basic physiological feature, and tcm diagnosis result and clinical detection result is corresponded；In basic physiological
In the grouping of feature, the sample bio-electric field data of same sample and clinical detection result are corresponded, by corresponding to twice
The transmitting of relationship finally can be derived that normal resonant frequency and the corresponding and superimposed pulse of clinical detection result and clinical effectiveness
It is corresponding, it is achieved in the identification of cell abnormal condition and the degrees of offset of superimposed pulse, realizes cytopathy grade really
It is fixed；Tcm diagnosis step is in order to which the result to cytopathy grade is verified.
Preferably, superimposed pulse and normal resonant pulse are analyzed by NLS NONLINEAR CALCULATION.
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art,
It is still possible to modify the technical solutions described in the foregoing embodiments, or part of technical characteristic is carried out etc.
With replacement, all within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in this
Within the protection scope of invention.
Claims (8)
1. a kind of health indicator analysis method based on resonance cell, it is characterised in that: including
Acquisition information: the basic physiological sign of user is acquired；
Selected project: feature corresponding with user's basic physiological sign is transferred from background data base according to selected detection project
Frequency；
Emit pulse: emitting transmitting pulse identical with the vibration frequency of characteristic frequency to user's body according to detection project；
Acquisition pulse: the superimposed pulse of acquisition user biological electric field feedback；
Model foundation: the normal frequency of the corresponding cell of different detection projects and transmitting pulse shaping normal resonant pulse are built
It attentions normal resonance model, obtains normal resonant frequency；
Offset judgement: the similarity of current superimposed pulse Yu normal resonant pulse is calculated, is read from database according to similarity
Corresponding cytopathy grade；
As a result judge: if cytopathy grade meets lesion tendency, exporting cytopathy grade；If cytopathy grade is not met
Lesion tendency, re-emits pulse.
2. a kind of health indicator analysis method based on resonance cell according to claim 1, which is characterized in that in result
Before judgement further include: tcm diagnosis: carrying out tcm diagnosis to user and obtain pulse condition information, constitution information, and judge user
The lesion of parts of body cell is inclined to.
3. a kind of health indicator analysis method based on resonance cell according to claim 2, it is characterised in that: after described
The establishment step of platform database includes: selection sample；Information collection, tcm diagnosis and clinical detection are carried out to sample；According to base
This physiological characteristic is grouped, and tcm diagnosis result and clinical detection result are corresponded.
4. a kind of health indicator analysis method based on resonance cell according to claim 1, it is characterised in that: described thin
The collection process of the normal frequency of born of the same parents includes: to choose healthy body sample, healthy body sample bio-electric field data acquisition.
5. a kind of health indicator analysis method based on resonance cell according to claim 1, it is characterised in that: basic
In the grouping of physiological characteristic, the sample bio-electric field data of same sample and clinical detection result are corresponded.
6. a kind of health indicator analysis method based on resonance cell according to claim 1, it is characterised in that: described thin
Born of the same parents' lesion grade is clinical medicine index.
7. a kind of health indicator analysis method based on resonance cell according to claim 1, it is characterised in that: pass through
NLS NONLINEAR CALCULATION analyzes superimposed pulse and normal resonant pulse.
8. a kind of health indicator analysis method based on resonance cell according to claim 1, it is characterised in that: the base
This physiology sign includes: height, weight, age, gender.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111028906A (en) * | 2019-12-18 | 2020-04-17 | 昆山博康医疗科技有限公司 | Method for rapidly detecting positive charge amount of tissue cells |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111028906A (en) * | 2019-12-18 | 2020-04-17 | 昆山博康医疗科技有限公司 | Method for rapidly detecting positive charge amount of tissue cells |
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Application publication date: 20190709 |