Intelligent control system and control method of cell activation instrument

Abstract

The invention relates to the technical field of activation instruments, and discloses an intelligent control method of a cell activation instrument, which comprises the following steps: constructing a data acquisition module of the cell activation instrument, acquiring a weak magnetic field signal of a target user, performing spectrum analysis on the weak magnetic field signal, and analyzing a cross-linking mode of life macromolecules. Defining a crosslinking fluctuation equation of the life macromolecules; fitting a biological fluctuation digital model of the target user, and analyzing a harmonic coefficient of an original point frequency and a moving point frequency; when the harmonic coefficient does not conform to a preset harmonic coefficient threshold value, defining the physiological state corresponding to the target user as a sub-health state, and identifying abnormal life macromolecules of the target user; determining the magnetic field intensity and the magnetic field frequency of the cell activation instrument, converting the corresponding magnetic field of the cell activation instrument into terahertz magnetic energy, correcting abnormal life macromolecules, and defining the corresponding physiological state of the target user as the health state when the normal harmonic coefficient accords with the harmonic coefficient threshold value. According to the invention, the accurate control cell enhancement effect of the cell activation instrument can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of activation instruments, and in particular to an intelligent control system of a cell activation instrument. Background Art

[0002] Cell Activator is a laboratory instrument used to activate cells through various physical, chemical or biological methods to promote cell function, proliferation, differentiation or other biological reactions. Cell Activator promotes the repair and regeneration of damaged tissues by activating specific cells, thereby reducing unnecessary cell damage and side effects and improving the safety of treatment.

[0003] At present, traditional cell revitalizing devices use a simple combination of heat and magnetic therapy. This method generates a lot of heat in the electrical components during the cell activation process, resulting in poor cell enhancement and heat dissipation effects. Summary of the invention

[0004] The present invention provides an intelligent control system for a cell activation instrument, the main purpose of which is to improve the precise control of cell enhancement effect of the cell activation instrument.

[0005] To achieve the above-mentioned purpose, the present invention provides an intelligent control system for a cell activation instrument, comprising: a data acquisition and analysis module, a harmonic coefficient calculation module, an abnormal molecule identification module, an abnormal molecule correction module and a health status definition module;

[0006] The data acquisition and analysis module is used to construct a data acquisition module for a cell activation instrument. Based on the data acquisition module, weak magnetic field signals of a target user are acquired, spectrum analysis is performed on the weak magnetic field signals to obtain cell frequency information, the life macromolecules of the target user are identified, the cross-linking mode of the life macromolecules is analyzed, and the cross-linking wave equation of the life macromolecules is defined according to the cross-linking mode;

[0007] The harmonic coefficient calculation module is used to fit the biological fluctuation digital model of the target user based on the cell frequency information and the cross-linking wave equation, analyze the origin life state and the dynamic life state of the life macromolecule based on the biological fluctuation digital model, calculate the origin life state, the origin frequency and the dynamic frequency of the dynamic life state, and analyze the harmonic coefficient of the origin frequency and the dynamic frequency;

[0008] The abnormal molecule identification module is used to define the corresponding physiological state of the target user as a sub-healthy state when the harmonic coefficient does not meet the preset harmonic coefficient threshold, and identify the abnormal life macromolecules of the target user according to the origin frequency and the moving point frequency;

[0009] The abnormal molecule correction module is used to determine the magnetic field strength and magnetic field frequency of the cell activation instrument based on the abnormal life macromolecules and the sub-health state, convert the corresponding magnetic field of the cell activation instrument into terahertz magnetic energy based on the magnetic field strength and the magnetic field frequency, use the terahertz magnetic energy to induce cell resonance of the target user, stimulate the cell activity of the target cells corresponding to the target user based on the cell resonance, analyze the biological information released by the target cells based on the cell activity, and correct the abnormal life macromolecules according to the biological information to obtain normal life macromolecules;

[0010] The health status definition module is used to calculate the normal origin frequency and the normal moving point frequency of the normal life macromolecules, analyze the normal harmonic coefficient of the normal origin frequency and the normal moving point frequency, and when the normal harmonic coefficient meets the harmonic coefficient threshold, define the corresponding physiological state of the target user as a health state.

[0011] Optionally, the data acquisition module for constructing the cell activation instrument includes:

[0012] Constructing a data acquisition framework for the cell activation instrument;

[0013] Analyze the signal types and acquisition performance parameters required to be collected by the data acquisition framework, wherein the acquisition performance parameters include: acquisition rate, resolution and dynamic range;

[0014] Constructing a sensor network of the data acquisition framework according to the signal type and the acquisition performance parameters;

[0015] Determine a signal processing circuit of the data acquisition framework, wherein the signal processing circuit includes: a signal amplification circuit, a signal filtering circuit and a signal conditioning circuit;

[0016] Defining an analog-to-digital conversion algorithm of the data acquisition framework, and constructing a signal processing module of the data acquisition framework based on the analog-to-digital conversion algorithm;

[0017] The signal processing module, the signal processing circuit and the sensor network are integrated into the data acquisition framework to obtain the data acquisition module of the cell activation instrument.

[0018] Optionally, performing spectrum analysis on the weak magnetic field signal to obtain cell frequency information includes:

[0019] Preprocessing the weak magnetic field signal to obtain a preprocessed magnetic field signal;

[0020] Converting the preprocessed magnetic field signal into a magnetic field digital signal by analog-to-digital conversion;

[0021] Applying fast Fourier transform to the magnetic field digital signal to obtain a frequency domain signal;

[0022] Performing spectrum analysis on the frequency domain signal to obtain a signal spectrum, and identifying characteristic peaks of the signal spectrum;

[0023] According to the characteristic peak, the cell frequency information in the signal spectrum is extracted.

[0024] The embodiment of the present invention can realize real-time signal processing and analysis by collecting weak magnetic field signals of the target user based on the data acquisition module, monitor physiological parameters non-invasively, and reduce the risk of inappropriateness of the target user; optionally, the embodiment of the present invention can better understand how quantum effects affect the cross-linking of biological macromolecules by defining the cross-linking wave equation of the biological macromolecule according to the cross-linking mode, thereby providing a theoretical basis for quantum bio-wave conditioning; the embodiment of the present invention can analyze the harmonic coefficient of the origin frequency and the dynamic frequency to optimize the response degree of the biological system when it is subjected to external stimulation or internal changes, thereby identifying abnormal changes in the biological system; The embodiment of the present invention defines the target user's corresponding physiological state as a sub-health state when the harmonic coefficient does not meet the preset harmonic coefficient threshold value, and can identify the potential sub-health state in advance before the body shows obvious abnormalities, thereby providing quantum spiral bio-wave conditioning; the embodiment of the present invention can enhance the signal transmission between quantum bio-waves and cells and improve the conditioning effect by analyzing the biological information released by the target cells based on the cell activity, and finally, the embodiment of the present invention can analyze the parameters of the life macromolecules after conditioning by calculating the normal origin frequency and the normal moving point frequency of the normal life macromolecules, thereby analyzing the effect after conditioning. Therefore, the present invention can improve the precise control of cell enhancement effect of the cell activation instrument. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A functional module diagram of an intelligent control system of a cell activation instrument provided by one embodiment of the present invention;

[0026] Figure 2 A schematic flow chart of an intelligent control method for a cell activation instrument provided by one embodiment of the present invention;

[0027] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] In addition, the step sequence in the following method embodiments is only an example and not a strict limitation.

[0030] In fact, the server-side device deployed by the intelligent control system of the cell activation instrument may be composed of one or more devices. The intelligent control system of the above-mentioned cell activation instrument can be implemented as: business instance, virtual machine, hardware device. For example, the intelligent control system of the cell activation instrument can be implemented as a business instance deployed on one or more devices in the cloud node. In simple terms, the live broadcast service system can be understood as a software deployed on the cloud node, which is used to provide intelligent control services of the cell activation instrument to each user terminal. Alternatively, the intelligent control system of the cell activation instrument can also be implemented as a virtual machine deployed on one or more devices in the cloud node. The virtual machine is installed with application software for managing each user terminal. Alternatively, the intelligent control system of the cell activation instrument can also be implemented as a server composed of many hardware devices of the same or different types, and one or more hardware devices are set to provide intelligent control services of the cell activation instrument to each user terminal.

[0031] In terms of implementation, the intelligent control system of the cell activation instrument and the user end are adapted to each other. That is, the intelligent control system of the cell activation instrument is an application installed on the cloud service platform, and the user end is a client that establishes a communication connection with the application; or the intelligent control system of the cell activation instrument is implemented as a website, and the user end is implemented as a web page; or the intelligent control system of the cell activation instrument is implemented as a cloud service platform, and the user end is implemented as a small program in an instant messaging application.

[0032] Reference Figure 1 , which is a functional module diagram of an intelligent control system of a cell activation instrument provided by an embodiment of the present invention.

[0033] The intelligent control system 100 of the cell activation instrument of the present invention can be set in a cloud server. In terms of implementation, it can be used as one or more service devices, or as an application installed on the cloud (such as a server, server cluster, etc. of the intelligent control of the cell activation instrument), or it can also be developed as a website. According to the functions implemented, the intelligent control system 100 of the cell activation instrument includes a data acquisition and analysis module 101, a harmonic coefficient calculation module 102, an abnormal molecule identification module 103, an abnormal molecule correction module 104 and a health status definition module 105.

[0034] In the embodiment of the present invention, in the tracking of the intelligent control based on the cell activation instrument, each of the above modules can be independently implemented and called with other modules. The call here can be understood as a module that can connect to multiple modules of another type and provide corresponding services to the multiple modules connected to it. In the intelligent control system of the cell activation instrument provided by the embodiment of the present invention, there is no need to modify the program code. The scope of application of the intelligent control architecture of the cell activation instrument can be adjusted by adding modules and directly calling them to achieve cluster-based horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding the intelligent control system of the cell activation instrument. In practical applications, the above modules can be set in the same device or different devices, or they can be set in virtual devices, such as service instances in cloud servers.

[0035] In the following, in conjunction with specific embodiments, each component of the intelligent control system of the cell activation instrument and the specific workflow are described respectively.

[0036] The data acquisition and analysis module 101 is a data acquisition module for constructing a cell activation instrument. Based on the data acquisition module, weak magnetic field signals of the target user are collected, spectrum analysis is performed on the weak magnetic field signals to obtain cell frequency information, the life macromolecules of the target user are identified, the cross-linking mode of the life macromolecules is analyzed, and the cross-linking wave equation of the life macromolecules is defined according to the cross-linking mode.

[0037] The embodiment of the present invention can integrate multiple sensors and detection technologies by constructing a data acquisition module of a cell activation instrument, thereby realizing simultaneous detection of multiple biological parameters and improving detection efficiency. The data acquisition module refers to a hardware and software system in a cell activation instrument specifically used for collecting, converting and transmitting cell-related signals.

[0038] As an embodiment of the present invention, the data acquisition module for constructing the cell activation instrument includes:

[0039] Constructing a data acquisition framework for the cell activation instrument;

[0040] Analyze the signal types and acquisition performance parameters required to be collected by the data acquisition framework, wherein the acquisition performance parameters include: acquisition rate, resolution and dynamic range;

[0041] Constructing a sensor network of the data acquisition framework according to the signal type and the acquisition performance parameters;

[0042] Determine a signal processing circuit of the data acquisition framework, wherein the signal processing circuit includes: a signal amplification circuit, a signal filtering circuit and a signal conditioning circuit;

[0043] Defining an analog-to-digital conversion algorithm of the data acquisition framework, and constructing a signal processing module of the data acquisition framework based on the analog-to-digital conversion algorithm;

[0044] The signal processing module, the signal processing circuit and the sensor network are integrated into the data acquisition framework to obtain the data acquisition module of the cell activation instrument.

[0045] Among them, the data acquisition framework refers to the architecture used to support data acquisition, processing and transmission in the cell activation instrument. The signal type refers to the specific type of biological or physical signal that the cell activation instrument needs to detect and process during the data acquisition process. The acquisition performance parameters refer to a series of indicators that measure the performance of the data acquisition system, which determine whether the system can effectively capture, convert and transmit signals. The acquisition rate refers to the number of times the data acquisition system samples the signal per unit time. The resolution refers to the minimum signal change that the system can distinguish and distinguish, which is an important indicator for measuring the accuracy of the sensor and the entire data acquisition system. The dynamic range refers to the range of signal strengths that the system can effectively detect and process, from the minimum detectable signal to the maximum unsaturated signal. The sensor network refers to a system composed of multiple sensor nodes, which are interconnected by wired or wireless means, work together to monitor, collect and process information in the environment, and transmit data to users or central processing units. The signal processing circuit refers to an electronic circuit used to receive, amplify, filter, convert and transmit the signal output by the sensor. The signal amplification circuit refers to an electronic circuit specifically used to enhance the voltage or current level of the sensor output signal. The signal filtering circuit refers to an electronic circuit used to remove or reduce unnecessary frequency components from the signal collected by the sensor, thereby improving the signal quality. The signal conditioning circuit refers to an electronic circuit used to amplify, filter, convert or otherwise process the original signal output by the sensor for further processing by subsequent circuits or systems. The analog-to-digital conversion algorithm refers to the mathematical process and method for converting analog signals into digital signals. The signal processing module refers to a component used to further process and optimize the digital signal obtained after analog-to-digital conversion.

[0046] Optionally, the analysis of the signal type and acquisition performance parameters required for the data acquisition framework can be performed through photonics and quantum technology.

[0047] Optionally, the signal processing circuit for determining the data acquisition framework may be determined by multi-physics field simulation.

[0048] The embodiment of the present invention can realize real-time signal processing and analysis by collecting weak magnetic field signals of the target user based on the data acquisition module, non-invasively monitor physiological parameters, and reduce the unsuitability risk of the target user. The weak magnetic field signal refers to a very small magnetic field change generated by a biological body (such as a human body), and these signals are usually very weak, far lower than the strength of the earth's magnetic field.

[0049] The embodiment of the present invention performs spectrum analysis on the weak magnetic field signal to obtain cell frequency information, which can identify specific frequency components related to cell activities, thereby helping to identify certain risks. The cell frequency information refers to the frequency characteristics of electromagnetic signals related to cell physiological functions extracted from cell activities by data acquisition and processing technology.

[0050] As an embodiment of the present invention, the performing spectrum analysis on the weak magnetic field signal to obtain cell frequency information includes:

[0051] Preprocessing the weak magnetic field signal to obtain a preprocessed magnetic field signal;

[0052] Converting the preprocessed magnetic field signal into a magnetic field digital signal by analog-to-digital conversion;

[0053] Applying fast Fourier transform to the magnetic field digital signal to obtain a frequency domain signal;

[0054] Performing spectrum analysis on the frequency domain signal to obtain a signal spectrum, and identifying characteristic peaks of the signal spectrum;

[0055] According to the characteristic peak, the cell frequency information in the signal spectrum is extracted.

[0056] Among them, the pre-processed magnetic field signal refers to the magnetic field signal after a series of processing steps. The magnetic field digital signal refers to the digital form of the analog magnetic field signal converted by the analog-to-digital converter. The frequency domain signal refers to the conversion of the time domain signal into the frequency domain signal after fast Fourier transform processing. The signal spectrum refers to the representation of the intensity distribution of a signal at different frequencies. The characteristic peak refers to the peak value that is significant and has a specific meaning in the signal spectrum.

[0057] The embodiment of the present invention can select the most suitable bio-wave frequency and intensity by identifying the target user's bio-macromolecules to improve the conditioning effect. The bio-macromolecules refer to macromolecular compounds that play a key role in the body, such as proteins, nucleic acids, lipids, etc.

[0058] Optionally, as an embodiment of the present invention, the biomacromolecules for identifying the target user may be identified by nuclear magnetic resonance spectroscopy.

[0059] The embodiment of the present invention can understand the dynamic changes of molecular interactions by analyzing the cross-linking mode of the biomacromolecules, improve the efficiency and specificity of signal transmission, and thus achieve more accurate signal regulation in quantum bio-wave conditioning. Among them, the cross-linking mode refers to the method of forming a stable connection between biomacromolecules.

[0060] Optionally, as an embodiment of the present invention, the analysis of the cross-linking mode of the biomacromolecules may be performed by cross-correlation mass spectrometry.

[0061] The embodiment of the present invention can better understand how quantum effects affect the cross-linking of biological macromolecules by defining the cross-linking wave equation of the biological macromolecules according to the cross-linking mode, thereby providing a theoretical basis for quantum bio-wave conditioning. The cross-linking wave equation refers to a mathematical model used to describe the dynamic behavior and wave characteristics of biological macromolecules (such as proteins, nucleic acids, polysaccharides, etc.) during the cross-linking process.

[0062] As an embodiment of the present invention, the cross-linking wave equation of the biomacromolecule is defined according to the cross-linking method, including:

[0063] Determining the cross-linking reaction type and cross-linking reaction mechanism of the biomacromolecule according to the cross-linking mode;

[0064] Based on the cross-linking reaction type and the cross-linking reaction mechanism, constructing a reaction rate equation of the biomacromolecule;

[0065] According to the reaction rate equation, the forward reaction rate and the reverse reaction rate of the biomacromolecule are calculated;

[0066] Analyzing the diffusion behavior of the biomacromolecules, and calculating the diffusion coefficient of the biomacromolecules according to the diffusion behavior;

[0067] Determining the quantum state of the life macromolecule, and constructing the wave function of the life macromolecule according to the quantum state;

[0068] According to the forward reaction rate, the reverse reaction rate, the diffusion coefficient and the wave function, a cross-linking wave equation of the biomacromolecule is defined, wherein the cross-linking wave equation includes:

[0069]

[0070] Where x represents an imaginary unit, satisfying x 2 =-1, h represents a constant, π represents the ratio of circumference to circumference, b(w,t) represents a wave function, w represents the position of a macromolecule, t represents time, represents the rate of change of the wave function with time t, D represents the kinetic energy operator, S represents the potential energy operator, A represents the uncrosslinked A-type life macromolecule, B represents the uncrosslinked B-type life macromolecule, AB represents the molecule after the crosslinking of molecule A and molecule B, K i represents the diffusion coefficient of the i-th type of biomacromolecule, represents the Laplace operator, c i (w,t) represents the change of the corresponding concentration of the i-th type of life macromolecule with position w and time t. represents the rate of change of the concentration of the i-th type of macromolecule over time, q i represents the forward reaction rate of the i-th type of biomacromolecule, f i represents the reverse reaction rate of the i-th type of biomacromolecule, c A (w, t) represents the concentration of class A biomolecules at position w and time t, c B (w, t) represents the concentration of class B biomolecules at position w and time t, c AB (w, t) represents the concentration of the cross-linked product AB at position w and time t.

[0071] Among them, the cross-linking reaction type refers to different ways of forming stable connections between biomolecules, which can be classified according to the chemical properties and action mechanisms of the cross-linking. The cross-linking reaction mechanism refers to the process and principle of forming cross-links between biomolecules. The reaction rate equation refers to an equation that describes the relationship between the rate of a chemical reaction and the concentration of reactants. The forward reaction rate refers to the speed at which reactants are converted into products in a reversible reaction. The reverse reaction rate refers to the speed at which products are converted into reactants in a reversible reaction. The diffusion behavior refers to the process in which material particles spontaneously move from a high concentration area to a low concentration area due to thermal motion. The diffusion coefficient refers to a physical quantity that describes the diffusion rate of a substance in a medium. The quantum state refers to the state of a quantum system at a specific moment. The wave function refers to a mathematical function used to describe the state of a quantum system. The imaginary unit refers to a special symbol used to represent imaginary numbers in mathematics. The kinetic energy operator refers to an operator used to describe the kinetic energy of a particle. The potential energy operator refers to an operator used to describe the potential energy of a particle in a potential field. The Laplace operator refers to a multivariable differential operator.

[0072] Optionally, the reaction rate equation of the biomacromolecule based on the cross-linking reaction type and the cross-linking reaction mechanism can be constructed by utilizing a kinetic model method.

[0073] The harmonic coefficient calculation module 102 is used to fit the biological fluctuation digital model of the target user based on the cell frequency information and the cross-linking fluctuation equation, analyze the origin life state and the dynamic life state of the life macromolecules based on the biological fluctuation digital model, calculate the origin life state, the origin frequency and the dynamic frequency of the dynamic life state, and analyze the harmonic coefficient of the origin frequency and the dynamic frequency.

[0074] The embodiment of the present invention can better analyze the physiological state of an organism by fitting the biological fluctuation digital model of the target user based on the cell frequency information and the cross-linking fluctuation equation by accurately simulating the fluctuation characteristics of an individual organism. The biological fluctuation digital model refers to a theoretical mathematical model that is intended to simulate and describe the fluctuation characteristics of life macromolecules in an organism.

[0075] Optionally, as an embodiment of the present invention, the biological fluctuation digital model of the target user based on the cell frequency information and the cross-linking fluctuation equation may be fitted by a genetic algorithm.

[0076] The embodiment of the present invention can identify abnormal changes in the origin life state and dynamic life state of the life macromolecules by analyzing the origin life state and dynamic life state of the life macromolecules based on the biological fluctuation digital model, so as to gain a deep understanding of the dynamic behavior of the life macromolecules under different physiological states. The origin life state refers to the structural and functional characteristics of the life macromolecules in their natural, undisturbed state. The dynamic life state refers to the state of structural and functional changes that the life macromolecules experience during their life cycle.

[0077] As an embodiment of the present invention, the analysis of the origin life state and the dynamic life state of the life macromolecule based on the biological wave digital model includes:

[0078] Defining the molecular structure and functional characteristics of the biomacromolecules in an undisturbed state;

[0079] Based on the molecular structure and the functional characteristics, the reference parameters of the biomacromolecules are determined using the biological fluctuation digital model;

[0080] Determining the origin life state of the life macromolecule according to the reference parameter;

[0081] Constructing a responsive stimulation environment for the life macromolecules;

[0082] Based on the response stimulus environment, the dynamic behavior of the life macromolecules is analyzed using the biological fluctuation digital model;

[0083] According to the dynamic behavior, the dynamic point life state of the life macromolecule is identified.

[0084] Among them, the molecular structure refers to the spatial arrangement and three-dimensional form of life macromolecules. The functional characteristics refer to the ability and characteristics of life macromolecules to perform specific biological effects in organisms. The benchmark parameters refer to key parameters used as reference or comparison standards in specific analyses. The response stimulus environment refers to external or internal conditions that can cause a biological system (such as a cell, tissue or organ) to produce a specific response. The dynamic behavior refers to the behavioral pattern or activity exhibited by an organism, system, organ, cell or molecule in a process that changes over time.

[0085] Optionally, the stimulus response environment for constructing the biomacromolecules can be constructed by microfluidics technology.

[0086] The embodiment of the present invention can identify abnormal-related biological molecule frequency changes by calculating the origin life state, the origin frequency of the dynamic life state, and the dynamic frequency by comparing the dynamic frequency in the abnormal state with the origin frequency in the normal state, thereby being used for early conditioning of the abnormal state. The origin frequency refers to the inherent vibration frequency of the biological system or biological molecule under the reference state. The dynamic frequency refers to the vibration frequency of the biological molecule in a specific dynamic process.

[0087] Optionally, as an embodiment of the present invention, the calculation of the origin frequency and the moving-point frequency of the origin life state and the moving-point life state may be calculated by spectral analysis technology.

[0088] The embodiment of the present invention can analyze the harmonic coefficient of the origin frequency and the moving frequency to quantify the response of the biological system when it is subjected to external stimulation or internal changes, thereby identifying abnormal changes in the biological system. The harmonic coefficient refers to a quantitative index used to describe the relationship between two frequencies.

[0089] As an embodiment of the present invention, the analyzing the harmonic coefficient of the origin frequency and the moving point frequency includes:

[0090] Calculating the origin frequency spectrum and the moving point frequency spectrum of the origin frequency and the moving point frequency respectively;

[0091] Respectively analyzing the origin autospectral density and the moving point autospectral density of the origin spectrum and the moving point spectrum;

[0092] Crossing the origin spectrum and the moving point spectrum to obtain a cross-spectral density function;

[0093] Extracting the cross-spectral density amplitude of the cross-spectral density function;

[0094] According to the cross-spectral density amplitude, the origin autospectral density and the moving point autospectral density, the harmonic coefficient of the origin frequency and the moving point frequency is calculated using the following formula:

[0095]

[0096] Where θ represents the harmonic coefficient, F h (p) represents the cross-spectral density amplitude, M 0 (p) represents the origin autospectral density, M d (p) represents the moving point autospectral density.

[0097] Among them, the origin spectrum refers to the frequency distribution diagram obtained by Fourier transforming the signal at the origin. The moving point spectrum refers to the frequency distribution diagram obtained by Fourier transforming the signal at the dynamic point. The origin autospectral density refers to the Fourier transform of a random signal when its autocorrelation function is zero at the lag time. The moving point autospectral density refers to a spectral density function that varies with time after Fourier transforming the autocorrelation function of the signal. The cross-spectral density function refers to a concept in signal processing, which describes the correlation between two different time series in the frequency domain. The cross-spectral density amplitude refers to the absolute value or modulus of the cross-spectral density function, which quantifies the strength of the correlation between two time series at a specific frequency.

[0098] The abnormal molecule identification module 103 is used to define the corresponding physiological state of the target user as a sub-healthy state when the harmonic coefficient does not meet the preset harmonic coefficient threshold, and identify the abnormal life macromolecules of the target user according to the origin frequency and the moving point frequency.

[0099] The embodiment of the present invention defines the target user's corresponding physiological state as a sub-health state when the harmony coefficient does not meet the preset harmony coefficient threshold, and can identify the potential sub-health state in advance before the body shows obvious abnormalities, thereby providing quantum spiral bio-wave conditioning. The sub-health state refers to a physiological state that is usually manifested as a mild disorder or decline in body function.

[0100] The embodiment of the present invention can more accurately identify the abnormality of the life macromolecules by identifying the abnormal life macromolecules of the target user according to the origin frequency and the moving point frequency, thereby providing more accurate biomarkers for bio-wave conditioning. The abnormal life macromolecules refer to biological macromolecules with specific structural abnormalities and functional disorders under specific conditions existing in the human body.

[0101] Optionally, as an embodiment of the present invention, the identification of abnormal life macromolecules of the target user based on the origin frequency and the moving point frequency may be performed by a threshold analysis method.

[0102] The abnormal molecule correction module 104 is used to determine the magnetic field strength and magnetic field frequency of the cell activation instrument based on the abnormal life macromolecules and the sub-health state, and based on the magnetic field strength and the magnetic field frequency, convert the corresponding magnetic field of the cell activation instrument into terahertz magnetic energy, use the terahertz magnetic energy to induce cell resonance of the target user, based on the cell resonance, stimulate the cell activity of the target cells corresponding to the target user, based on the cell activity, analyze the biological information released by the target cells, and according to the biological information, correct the abnormal life macromolecules to obtain normal life macromolecules.

[0103] The embodiment of the present invention can enhance the self-repair ability of cells and accelerate the recovery of damaged cells by determining the magnetic field strength and magnetic field frequency of the cell activation instrument based on the abnormal life macromolecules and the sub-health state. The magnetic field strength refers to the strength of the magnetic field generated by the cell activation instrument. The magnetic field frequency refers to the number of times the magnetic field generated by the cell activation instrument changes repeatedly per unit time.

[0104] As an embodiment of the present invention, the determining of the magnetic field strength and the magnetic field frequency of the cell activation instrument based on the abnormal life macromolecules and the sub-health state includes:

[0105] Analyzing the abnormal performance of the abnormal life macromolecules and the abnormal state of the sub-health state;

[0106] Based on the abnormal manifestation and the abnormal state, determining the conditioning target of the cell activation instrument;

[0107] Preliminarily determining the magnetic field intensity range and magnetic field frequency range of the cell activation instrument according to the conditioning target;

[0108] Constructing a magnetic field analysis model of the cell activation instrument according to the magnetic field intensity range and the magnetic field frequency range;

[0109] According to the magnetic field analysis model, the magnetic field strength and magnetic field frequency of the conditioning target are mapped.

[0110] Among them, the abnormal manifestation refers to the abnormal changes in the structure or function of life macromolecules at the molecular level. The abnormal state refers to a series of physiological, psychological and social function declines or discomforts. The conditioning goal refers to the specific health improvement or recovery purpose achieved through intervention. The magnetic field intensity range refers to the magnitude interval of the magnetic field intensity used when using the cell activation instrument. The magnetic field frequency range refers to the frequency interval of the magnetic field used when using the cell activation instrument. The magnetic field analysis model refers to a mathematical model used to analyze and predict the behavior of the magnetic field under specific environments and conditions.

[0111] Optionally, the magnetic field analysis model of the cell activation instrument constructed according to the magnetic field intensity range and the magnetic field frequency range can be constructed by a multi-physical field coupling simulation method.

[0112] The embodiment of the present invention can accelerate wound healing and reduce inflammation by converting the corresponding magnetic field of the cell activation instrument into terahertz magnetic energy based on the magnetic field strength and the magnetic field frequency, by improving blood circulation and promoting cell metabolism. The terahertz magnetic energy refers to electromagnetic energy in the terahertz band.

[0113] As an embodiment of the present invention, the step of converting the magnetic field corresponding to the cell activation instrument into terahertz magnetic energy based on the magnetic field strength and the magnetic field frequency includes:

[0114] Configuring a terahertz wave device of the cell activation instrument, and determining a frequency range of terahertz waves corresponding to the terahertz wave device;

[0115] Constructing a magnetic field control module of the terahertz wave device;

[0116] Determining a control parameter of the magnetic field control module based on the magnetic field strength and the magnetic field frequency;

[0117] According to the control parameters and the frequency range, the magnetic field and the terahertz wave are effectively coupled to obtain terahertz magnetic energy.

[0118] The terahertz wave device refers to a device that can generate, emit and / or control electromagnetic radiation in the terahertz band. The frequency range refers to the operating frequency range of the terahertz wave device, that is, the frequency interval of terahertz band electromagnetic waves that the device can generate, emit or detect. The magnetic field control module refers to the part used to control and manage the magnetic field characteristics in the cell activation instrument. The control parameter refers to the variable used to control and adjust the magnetic field to achieve specific conditioning.

[0119] Optionally, the magnetic field and the terahertz wave are effectively coupled according to the control parameters and the frequency range, and the terahertz magnetic energy can be obtained by a plasma coupling method.

[0120] The embodiment of the present invention can stimulate cell proliferation and differentiation by inducing cell resonance of the target user using the terahertz magnetic energy, thereby increasing the movement of molecules in the cell and promoting metabolism. The cell resonance refers to the phenomenon that the molecules or structures in the cell produce vibrations that match the frequency of the externally applied terahertz wave or other electromagnetic wave energy.

[0121] The embodiment of the present invention can improve the cell metabolic rate and enhance the cell's absorption of nutrients and excretion of waste by stimulating the cell activity of the target cell corresponding to the target user based on the cell resonance. The cell activity refers to the ability of the cell to perform its biological functions, including growth, division, metabolism, response to external stimuli, and specific biochemical reactions.

[0122] The embodiment of the present invention can enhance the signal transmission between quantum bio-waves and cells and improve the conditioning effect by analyzing the biological information released by the target cells based on the cell activity. The biological information refers to the information generated, transmitted, and used to regulate biological processes by various molecules, cells, tissues, and organs in the body during life activities.

[0123] Optionally, as an embodiment of the present invention, the analysis of biological information released by the target cells based on the cell activity can be obtained by molecular biology technology.

[0124] The embodiment of the present invention corrects the abnormal macromolecules according to the biological information to obtain normal macromolecules, which can adjust the risks caused by the abnormality of these molecules, thereby restoring the normal function of the cells. The normal macromolecules refer to molecules that exist in a normal functional state in the body after conditioning and repair.

[0125] The health status definition module 105 is used to calculate the normal origin frequency and the normal moving point frequency of the normal life macromolecules, analyze the normal harmonic coefficient of the normal origin frequency and the normal moving point frequency, and when the normal harmonic coefficient meets the harmonic coefficient threshold, define the corresponding physiological state of the target user as a health state.

[0126] The embodiment of the present invention can analyze the parameters of the life macromolecules after conditioning by calculating the normal origin frequency and normal dynamic point frequency of the normal life macromolecules, thereby analyzing the effect after conditioning. The normal origin frequency refers to the inherent vibration frequency of a biological macromolecule in its natural, undisturbed state in molecular biology and spectroscopy. The normal dynamic point frequency refers to the vibration frequency of a biological macromolecule at a specific point other than the equilibrium position (origin) in its normal physiological state.

[0127] As an embodiment of the present invention, the calculation of the normal origin frequency and the normal moving point frequency of the normal life macromolecule includes:

[0128] Analyzing the stable conformation of the normal life macromolecule, and optimizing the geometry of the normal life macromolecule according to the stable conformation to obtain a molecular equilibrium structure;

[0129] Based on the molecular equilibrium structure, frequency analysis is performed on the normal life macromolecule to obtain a normal origin frequency;

[0130] Performing molecular dynamics simulation on the normal life macromolecules to obtain the dynamic conformation of the molecules;

[0131] Based on the dynamic conformation of the molecule, the normal life macromolecule is measured using a preset time-resolved spectroscopy technique to obtain spectral data;

[0132] The normal moving point frequency of the normal life macromolecules is calculated based on the spectral data.

[0133] Among them, the stable conformation refers to the lowest energy and most stable three-dimensional structure achieved by biological macromolecules under specific conditions. The molecular equilibrium structure refers to a state with the lowest energy and the most stable state achieved by a molecule after a certain period of adjustment and interaction under the specific environmental conditions in which it is located. The dynamic molecular conformation refers to the instantaneous form of a series of three-dimensional structures that a molecule experiences over a period of time. The preset time-resolved spectroscopy technology refers to an experimental technology that can measure the spectral characteristics of a substance at different time points. The spectral data refers to a collection of information about the optical properties of a substance obtained by spectroscopy.

[0134] Optionally, the frequency analysis of the normal life macromolecules based on the molecular equilibrium structure can obtain the normal origin frequency through quantum chemical calculation.

[0135] The embodiment of the present invention can provide data support for subsequent analysis of whether the target user has been adjusted to a healthy state by analyzing the normal harmonic coefficient of the normal origin frequency and the normal moving point frequency. The normal harmonic coefficient is used to describe the proportional relationship between molecular vibration frequencies.

[0136] In the embodiment of the present invention, when the normal harmonic coefficient meets the harmonic coefficient threshold, the corresponding physiological state of the target user is defined as a healthy state, and the health state of the target user after conditioning can be analyzed, thereby determining the conditioning effect of the cell activation instrument.

[0137] The embodiment of the present invention can realize real-time signal processing and analysis by collecting weak magnetic field signals of the target user based on the data acquisition module, monitor physiological parameters non-invasively, and reduce the risk of inappropriateness of the target user; optionally, the embodiment of the present invention can better understand how quantum effects affect the cross-linking of biological macromolecules by defining the cross-linking wave equation of the biological macromolecule according to the cross-linking mode, thereby providing a theoretical basis for quantum bio-wave conditioning; the embodiment of the present invention can analyze the harmonic coefficient of the origin frequency and the dynamic frequency to optimize the response degree of the biological system when it is subjected to external stimulation or internal changes, thereby identifying abnormal changes in the biological system; The embodiment of the present invention defines the target user's corresponding physiological state as a sub-health state when the harmonic coefficient does not meet the preset harmonic coefficient threshold value, and can identify the potential sub-health state in advance before the body shows obvious abnormalities, thereby providing quantum spiral bio-wave conditioning; the embodiment of the present invention can enhance the signal transmission between quantum bio-waves and cells and improve the conditioning effect by analyzing the biological information released by the target cells based on the cell activity, and finally, the embodiment of the present invention can analyze the parameters of the life macromolecules after conditioning by calculating the normal origin frequency and the normal moving point frequency of the normal life macromolecules, thereby analyzing the effect after conditioning. Therefore, the present invention can improve the precise control of cell enhancement effect of the cell activation instrument.

[0138] like Figure 2 FIG. 1 is a flow chart of an intelligent control method of a cell activation instrument provided by an embodiment of the present invention. In this embodiment, the intelligent control method of the cell activation instrument includes:

[0139] Constructing a data acquisition module for a cell activation instrument, based on the data acquisition module, collecting weak magnetic field signals of a target user, performing spectrum analysis on the weak magnetic field signals to obtain cell frequency information, identifying the life macromolecules of the target user, analyzing the cross-linking mode of the life macromolecules, and defining the cross-linking wave equation of the life macromolecules according to the cross-linking mode;

[0140] Based on the cell frequency information and the cross-linking wave equation, a biological wave digital model of the target user is fitted, and based on the biological wave digital model, the origin life state and the dynamic life state of the life macromolecule are analyzed, the origin life state and the origin frequency and the dynamic frequency of the dynamic life state are calculated, and the harmonic coefficient of the origin frequency and the dynamic frequency is analyzed;

[0141] When the harmonic coefficient does not meet the preset harmonic coefficient threshold, the corresponding physiological state of the target user is defined as a sub-healthy state, and the abnormal life macromolecules of the target user are identified according to the origin frequency and the moving point frequency;

[0142] Based on the abnormal life macromolecules and the sub-health state, the magnetic field strength and the magnetic field frequency of the cell activation instrument are determined; based on the magnetic field strength and the magnetic field frequency, the magnetic field corresponding to the cell activation instrument is converted into terahertz magnetic energy; the terahertz magnetic energy is used to induce cell resonance of the target user; based on the cell resonance, the cell activity of the target cells corresponding to the target user is stimulated; based on the cell activity, the biological information released by the target cells is analyzed; based on the biological information, the abnormal life macromolecules are corrected to obtain normal life macromolecules;

[0143] The normal origin frequency and the normal moving point frequency of the normal life macromolecule are calculated, and the normal harmonic coefficient of the normal origin frequency and the normal moving point frequency are analyzed. When the normal harmonic coefficient meets the harmonic coefficient threshold, the corresponding physiological state of the target user is defined as a healthy state.

[0144] In the several embodiments provided by the present invention, it should be understood that the provided system and method can be implemented in other ways. For example, the system embodiment described above is only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0145] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0146] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An intelligent control system for a cell activation instrument, characterized in that: The intelligent control of the system cell activation instrument includes: a data acquisition and analysis module, a harmonic coefficient calculation module, an abnormal molecule identification module, an abnormal molecule correction module and a health status definition module; The data acquisition and analysis module is used to construct a data acquisition module for a cell activation instrument. Based on the data acquisition module, weak magnetic field signals of a target user are acquired, spectrum analysis is performed on the weak magnetic field signals to obtain cell frequency information, the life macromolecules of the target user are identified, the cross-linking mode of the life macromolecules is analyzed, and the cross-linking wave equation of the life macromolecules is defined according to the cross-linking mode; The harmonic coefficient calculation module is used to fit the biological fluctuation digital model of the target user based on the cell frequency information and the cross-linking wave equation, analyze the origin life state and the dynamic life state of the life macromolecule based on the biological fluctuation digital model, calculate the origin life state, the origin frequency and the dynamic frequency of the dynamic life state, and analyze the harmonic coefficient of the origin frequency and the dynamic frequency; The health status definition module is used to calculate the normal origin frequency and the normal moving point frequency of the normal life macromolecules, analyze the normal harmonic coefficient of the normal origin frequency and the normal moving point frequency, and when the normal harmonic coefficient meets the harmonic coefficient threshold, define the corresponding physiological state of the target user as a health state.

2. The intelligent control system of the cell activation instrument as claimed in claim 1, characterized in that: The abnormal molecule identification module is used to define the corresponding physiological state of the target user as a sub-healthy state when the harmonic coefficient does not meet the preset harmonic coefficient threshold, and identify the abnormal life macromolecules of the target user according to the origin frequency and the moving point frequency; The abnormal molecule correction module is used to determine the magnetic field strength and magnetic field frequency of the cell activation instrument based on the abnormal life macromolecules and the sub-health state, and based on the magnetic field strength and the magnetic field frequency, convert the corresponding magnetic field of the cell activation instrument into terahertz magnetic energy, use the terahertz magnetic energy to induce cell resonance of the target user, based on the cell resonance, stimulate the cell activity of the target cells corresponding to the target user, based on the cell activity, analyze the biological information released by the target cells, and according to the biological information, correct the abnormal life macromolecules to obtain normal life macromolecules.

3. The intelligent control system of the cell activation instrument as claimed in claim 2, characterized in that: The data acquisition module for constructing the cell activation instrument comprises: Constructing a data acquisition framework for the cell activation instrument; Analyze the signal types and acquisition performance parameters required to be collected by the data acquisition framework, wherein the acquisition performance parameters include: acquisition rate, resolution and dynamic range; Constructing a sensor network of the data acquisition framework according to the signal type and the acquisition performance parameters; Determine a signal processing circuit of the data acquisition framework, wherein the signal processing circuit includes: a signal amplification circuit, a signal filtering circuit and a signal conditioning circuit; Defining an analog-to-digital conversion algorithm of the data acquisition framework, and constructing a signal processing module of the data acquisition framework based on the analog-to-digital conversion algorithm; The signal processing module, the signal processing circuit and the sensor network are integrated into the data acquisition framework to obtain the data acquisition module of the cell activation instrument.

4. The intelligent control system of the cell activation instrument as claimed in claim 2, characterized in that: The performing spectrum analysis on the weak magnetic field signal to obtain cell frequency information includes: Preprocessing the weak magnetic field signal to obtain a preprocessed magnetic field signal; Converting the preprocessed magnetic field signal into a magnetic field digital signal by analog-to-digital conversion; Applying fast Fourier transform to the magnetic field digital signal to obtain a frequency domain signal; Performing spectrum analysis on the frequency domain signal to obtain a signal spectrum, and identifying characteristic peaks of the signal spectrum; According to the characteristic peak, the cell frequency information in the signal spectrum is extracted.

5. The intelligent control system of the cell activation instrument as claimed in claim 2, characterized in that: The cross-linking wave equation of the biomacromolecule is defined according to the cross-linking method, including: Determining the cross-linking reaction type and cross-linking reaction mechanism of the biomacromolecule according to the cross-linking mode; Based on the cross-linking reaction type and the cross-linking reaction mechanism, constructing a reaction rate equation of the biomacromolecule; According to the reaction rate equation, the forward reaction rate and the reverse reaction rate of the biomacromolecule are calculated; Analyzing the diffusion behavior of the biomacromolecules, and calculating the diffusion coefficient of the biomacromolecules according to the diffusion behavior; Determining the quantum state of the life macromolecule, and constructing the wave function of the life macromolecule according to the quantum state; The cross-linking wave equation of the biomacromolecule is defined according to the forward reaction rate, the reverse reaction rate, the diffusion coefficient and the wave function.

6. The intelligent control system of the cell activation instrument as claimed in claim 2, characterized in that: The method of analyzing the origin life state and the dynamic life state of the life macromolecule based on the biological wave digital model includes: Defining the molecular structure and functional characteristics of the biomacromolecules in an undisturbed state; Based on the molecular structure and the functional characteristics, the reference parameters of the biomacromolecules are determined using the biological fluctuation digital model; Determining the origin life state of the life macromolecule according to the reference parameter; Constructing a responsive stimulation environment for the life macromolecules; Based on the response stimulus environment, the dynamic behavior of the life macromolecules is analyzed using the biological fluctuation digital model; According to the dynamic behavior, the dynamic point life state of the life macromolecule is identified.

7. The intelligent control system of the cell activation instrument as claimed in claim 2, characterized in that: The analyzing the harmonic coefficient of the origin frequency and the moving point frequency includes: Calculating the origin frequency spectrum and the moving point frequency spectrum of the origin frequency and the moving point frequency respectively; Respectively analyzing the origin autospectral density and the moving point autospectral density of the origin spectrum and the moving point spectrum; Crossing the origin spectrum and the moving point spectrum to obtain a cross-spectral density function; Extracting the cross-spectral density amplitude of the cross-spectral density function; The harmonic coefficients of the origin frequency and the moving point frequency are calculated according to the cross-spectral density amplitude, the origin autospectral density and the moving point autospectral density.

8. The intelligent control system of the cell activation instrument as claimed in claim 2, characterized in that: The determining of the magnetic field intensity and the magnetic field frequency of the cell activation instrument based on the abnormal life macromolecules and the sub-health state comprises: Analyzing the abnormal performance of the abnormal life macromolecules and the abnormal state of the sub-health state; Based on the abnormal manifestation and the abnormal state, determining the conditioning target of the cell activation instrument; Preliminarily determining the magnetic field intensity range and magnetic field frequency range of the cell activation instrument according to the conditioning target; Constructing a magnetic field analysis model of the cell activation instrument according to the magnetic field intensity range and the magnetic field frequency range; According to the magnetic field analysis model, the magnetic field strength and magnetic field frequency of the conditioning target are mapped.

9. The intelligent control system of the cell activation instrument as claimed in claim 8, characterized in that: The converting the magnetic field corresponding to the cell activation instrument into terahertz magnetic energy based on the magnetic field strength and the magnetic field frequency comprises: Configuring a terahertz wave device of the cell activation instrument, and determining a frequency range of terahertz waves corresponding to the terahertz wave device; Constructing a magnetic field control module of the terahertz wave device; Determining a control parameter of the magnetic field control module based on the magnetic field strength and the magnetic field frequency; According to the control parameters and the frequency range, the magnetic field and the terahertz wave are effectively coupled to obtain terahertz magnetic energy.

10. The intelligent control system of the cell activation instrument as claimed in claim 2, characterized in that: The calculating of the normal origin frequency and the normal moving point frequency of the normal life macromolecules comprises: Analyzing the stable conformation of the normal life macromolecule, and optimizing the geometry of the normal life macromolecule according to the stable conformation to obtain a molecular equilibrium structure; Based on the molecular equilibrium structure, frequency analysis is performed on the normal life macromolecule to obtain a normal origin frequency; Performing molecular dynamics simulation on the normal life macromolecules to obtain the dynamic conformation of the molecules; Based on the dynamic conformation of the molecule, the normal life macromolecule is measured using a preset time-resolved spectroscopy technique to obtain spectral data; The normal moving point frequency of the normal life macromolecules is calculated based on the spectral data.

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