Biological magnetic therapy management system and magnetic therapy equipment

Abstract

The invention discloses a biological magnetic therapy management system and magnetic therapy equipment, and belongs to the field of biological physical therapy. Comprising a voice intelligent control and man-machine interaction module, a body nursing and detection module, a face anti-aging management module, an expert audio and video connection and health consultation module, a health education and case analysis module, a platform management module and a health content service module. According to the principle of the double-oxygen product, 1.5 V micro-current is combined with a water oxygen kettle to be converted into a magnetic field when meeting water, the magnetic field acts on the human body to regulate or improve the sub-health problem, namely magnetic therapy, water is electrolyzed to generate hydrogen and oxygen, heat carrying the oxygen directly reaches the focus in an intangible micro-needle mode, and therefore the purpose of improving the sub-health effect is achieved. The traditional Chinese medicine composition can quickly dredge channels and collaterals, activate cells, nourish spinal nerves, improve the problems of circulation, absorption, metabolism and the like caused by long-term obstruction of body channels and collaterals, body fluid and qi and blood, and can achieve the effects of dredging five internal organs, repairing six internal organs and improving immunity by insisting in use.

Description

Technical Field

[0001] The present invention relates to the field of bio-physical therapy, and more specifically, to a bio-magnetic therapy management system and magnetic therapy equipment. Background Art

[0002] The technology of similar products on the market is DDS technology. The technology used in this product is a new technology that mobilizes the operator's own bioelectricity and then acts on the patient. The operator uses this product with special techniques to follow the direction of the meridians, output the corresponding amount of electricity, stimulate and open the human meridians, activate human cells, regulate human functions, and enhance the body's essence, qi, and spirit. It is a new health and beauty auxiliary work. The principle and function of DDS bioelectric physiotherapy: 1. Unblocking meridians: Body-controlled electrotherapy uses the flow of electrical energy in the human body to stimulate the meridians and dredge the meridians. The reason why bioelectric therapy can have a good effect in a short time is mainly due to the effect of the product on neuronal cells. As we all know, when the human body is stimulated or has any lesions, the potential of the cells in the stimulated or lesioned parts will change. This change causes the potential of the cells themselves to be disrupted. It is precisely because of this potential disorder that our nerves transmit the discomfort to the brain. After receiving this information, the brain constantly feeds back the corresponding sensory information, and our body will feel pain and discomfort, etc., until we completely remove the lesion or external stimulation in a certain way, this potential will return to its original balance and the feeling will disappear. This is the most basic medical theory. At present, DDS biotherapy, to put it bluntly, is actually to artificially break the potential caused by stimulation or lesions through external current interference, and forcibly restore the potential to balance in a short time. After repeated use, the self-regulation ability of the cell potential will be weakened, and the feedback ability for stimulation and lesions will be weakened. Therefore, this technology is a temporary solution, not a permanent solution. Because this technology is an alternating current biotherapy, high-voltage operation poses a safety hazard to customers. Summary of the invention

[0003] The purpose of the present invention is to provide a biological magnetic therapy management system and magnetic therapy equipment to solve the problems raised in the above-mentioned background technology. The principle of this application is to utilize a 1.5V microcurrent combined with a water oxygen kettle to convert it into a magnetic field when it meets water. The use of this magnetic field on the human body to regulate or improve sub-health problems is called magnetic therapy. Water is electrolyzed to produce hydrogen and oxygen. This heat carrying oxygen reaches the lesion in the form of invisible microneedles, quickly opens up the meridians, activates cells, and nourishes the spinal nerves, improving circulation, absorption and metabolism problems caused by long-term blockage of the body's meridians, body fluids and qi and blood. Persistent use can achieve the effect of regulating the five internal organs, cultivating the six internal organs, and improving immunity.

[0004] Technical solution: A biomagnetic therapy management system, including voice intelligent control and human-computer interaction module, body conditioning and detection module, facial anti-aging management module, expert audio and video connection and health consultation module, health education and case analysis module, platform management module, and health content service module;

[0005] The voice intelligent control and human-computer interaction module controls all operations and functions of the system through voice commands, achieving intelligent management and seamless user experience;

[0006] The body conditioning and detection module is based on bio-electromagnetic therapy technology to perform body conditioning and health detection on users and improve sub-health status;

[0007] The facial anti-aging management module combines magnetic quantum microwave technology with EMS muscle remodeling therapy to provide users with comprehensive facial care, anti-aging and beauty care;

[0008] The expert audio and video connection and health consultation module provides expert online audio and video connection services, so that users can consult health problems remotely and obtain personalized conditioning plans;

[0009] The health education and case analysis module provides health-related educational resources and case analysis to help users learn health management skills and understand the effects of the nursing process;

[0010] The platform management module is used to manage user data, expert appointments, advertising push and operational data;

[0011] The health content service module is synchronized with the mobile terminal through the mini program, and users can remotely control the device, obtain health services, and view conditioning records on their mobile phones;

[0012] The data and reports of the physical conditioning and detection system are fed back to the health education and case analysis module, which automatically recommends relevant teaching videos and cases according to the user's health status to help the user better understand his or her health status and conditioning methods;

[0013] The results of the facial anti-aging management system are transmitted to the expert audio and video connection and health consultation module. After receiving the care, the user can discuss the facial care effect with the expert at any time, and the expert will give personalized suggestions based on the test data;

[0014] In the expert audio and video connection and health consultation module service, experts recommend relevant health education videos and cases based on the health data of the body conditioning and testing module to help users gain an in-depth understanding of the theoretical and practical basis of the conditioning plan; users discuss questions with experts after learning the educational content of health education and case analysis.

[0015] Preferably, the user starts the body conditioning and detection module through voice intelligent control and voice commands of the human-computer interaction module, and can understand the current health data and adjust the conditioning mode through voice at any time.

[0016] Preferably, the platform management module performs data analysis based on the user's health status and usage habits, thereby pushing personalized advertisements and health content services to help users discover more suitable health products and services.

[0017] Preferably, the body conditioning and detection module provides an accurate treatment plan based on the user's detection data, and the method is as follows:

[0018] S1. Collect user data to establish a multi-dimensional user health data model: including physiological indicators, basic signs such as heart rate, blood pressure, blood oxygen, body temperature, etc.; physical condition data, meridians, blood circulation, muscle tension, skin elasticity; historical health data, user's medical history, previous health reports, and past treatment effects; after analyzing the above data through the physical conditioning and detection module, a multi-dimensional health portrait of the user is constructed;

[0019] S2. Intelligent analysis and data processing: Use machine learning and big data analysis algorithms to generate prediction models by learning a large amount of user health data and efficacy data;

[0020] S3. Precision conditioning plan in stages: Provide multi-stage treatment plans according to different health conditions of users, and each stage is adjusted based on the test results and treatment effects of the previous stage;

[0021] S4. Personalized parameter adjustment: Automatically adjust treatment parameters according to different health problems;

[0022] S5. Real-time feedback and adjustment: Continuously obtain the user's real-time data for dynamic adjustment: Real-time acquisition of the user's physiological feedback data, including body temperature, heart rate, and skin condition, to determine whether the treatment is excessive or insufficient. If a certain indicator is detected to be out of the normal range, the treatment intensity will be immediately reduced or the treatment will be suspended. Conversely, if the user is detected to be in a good state, the efficacy will be enhanced;

[0023] S6. Personalized report and feedback: After the treatment, a detailed conditioning report will be generated, which users can view through the mini program. The system will record each conditioning result of the user and compare it with the previous data to show the specific situation of health improvement. According to the effect of each treatment, the user's feedback is collected to judge the efficacy;

[0024] S7. Expert intervention and refined treatment: When the user's health data cannot be automatically resolved by the physical conditioning and detection module, the expert audio and video connection and health consultation module will intervene to recommend an audio and video connection with an expert. The expert will review the user's health data and conditioning history, and propose a more refined treatment plan based on experience.

[0025] Preferably, S4 comprises the following steps:

[0026] Initial diagnosis and treatment: Based on the data from the first test, we provide preliminary treatment suggestions, including basic whole-body treatment, meridian dredging, micro-current stimulation, and automatically adjust the intensity, frequency and time of treatment to provide a gentle treatment plan;

[0027] Mid-term tracking and optimization: Continuously monitor the user's conditioning effect and adjust the intensity and method of the treatment plan based on real-time data;

[0028] Later stage in-depth treatment: For specific health problems, through health education and case analysis modules combined with previous treatment plans, more in-depth targeted conditioning is carried out and special treatment suggestions are provided.

[0029] A magnetic therapy device comprises a shell, an inner wall of which is fixedly connected to a water tank, the water tank is connected to a water pump via a two-way water pipe, the water pump is connected to a temperature controller via a two-way water pipe, the temperature controller is connected to a diverter via a two-way water pipe, the diverter is respectively connected to two copper kettles via two two-way water pipes, and the water tank is also connected to a water changing pipe.

[0030] Preferably, the bidirectional water pipe comprises an outer protective shell and two independent water pipes inside, and the two water pipes are a water outlet pipe and a water return pipe respectively.

[0031] Compared with the prior art, the advantages of the present invention are:

[0032] (1) The principle of this hydrogen peroxide product is to use a 1.5V microcurrent combined with a water oxygen kettle to convert it into a magnetic field when it comes into contact with water. The use of this magnetic field on the human body to regulate or improve sub-health problems is called magnetic therapy. Water is electrolyzed to produce hydrogen and oxygen. This heat carrying oxygen reaches the lesion in the form of invisible microneedles, quickly opening up the meridians, activating cells, and nourishing the spinal nerves. It improves circulation, absorption, and metabolism problems caused by long-term blockage of the body's meridians, body fluids, and qi and blood. Persistent use can achieve the effect of regulating the five internal organs, cultivating the six bowels, and improving immunity.

[0033] (2) Through machine learning and big data analysis technology, the system can extract personalized features from the user's multi-dimensional health data, build a health profile, and generate accurate treatment plans based on historical data and real-time feedback. The system can not only adjust treatment parameters in real time, but also dynamically adjust the plan to ensure that each user obtains the most suitable conditioning plan for their current health status and improve the treatment effect.

[0034] (3) The system continuously accumulates user data and treatment feedback, and uses machine learning algorithms to update and optimize the model. Over time, the system can better understand the health trends of individual users, thereby providing more efficient and accurate treatment plans. At the same time, the system can automatically adjust according to the efficacy, providing long-term and effective health management services, which is highly sustainable and intelligent. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a schematic diagram of the overall system of a biomagnetic therapy management system of the present invention;

[0036] Figure 2 It is a front view of a magnetic therapy device;

[0037] Figure 3 A three-dimensional image of a magnetic therapy device from the right side perspective;

[0038] Figure 4 A three-dimensional image of a magnetic therapy device from the left side perspective;

[0039] Figure 5 It is a circuit diagram of a magnetic therapy device copper kettle physiotherapy;

[0040] Figure 6 A circuit diagram of a magnetic therapy device for facial massage;

[0041] In the figure: 1. Outer shell; 2. Water tank; 3. Diverter; 4. Temperature controller; 5. Water exchange pipe; 6. Water pump; 7. Copper kettle. DETAILED DESCRIPTION

[0042] Example 1, please refer to Figure 1 , a biomagnetic therapy management system, including voice intelligent control and human-computer interaction module, body conditioning and detection module, facial anti-aging management module, expert audio and video connection and health consultation module, health education and case analysis module, health education and case analysis module, platform management module, health content service module;

[0043] The voice intelligent control and human-computer interaction module controls all operations and functions of the system through voice commands, achieving intelligent management and seamless user experience; the voice intelligent control and human-computer interaction module has the functions of voice recognition and command execution, natural language interaction, and personalized recommendations (conditioning mode, health advice).

[0044] The body conditioning and detection module is based on bio-electromagnetic therapy technology to perform body conditioning and health detection on users to improve sub-health conditions. The body conditioning and detection module can choose water circulation thermal therapy, magnetic field therapy, microcurrent conditioning, and can also detect body health data (heart rate, blood pressure, blood oxygen, etc.), and then generate health data for analysis. It can also provide health warnings (abnormal data reminders).

[0045] The facial anti-aging management module combines magnetic quantum microwave technology with EMS muscle remodeling therapy to provide users with comprehensive facial care, anti-aging and beauty care; the facial anti-aging management module can detect skin (wrinkles, spots, sagging, etc.), facial microcurrent and magnetic therapy conditioning, and care effect tracking and comparison reports.

[0046] The expert audio and video connection and health consultation module provides expert online audio and video connection services, where users can consult health issues remotely and obtain personalized conditioning plans; users can make online appointments and consult with experts, while audio and video interaction is supported, and experts can also customize health conditioning plans for users.

[0047] The health education and case analysis module provides health-related educational resources and case analysis to help users learn health management skills and understand the effectiveness of the nursing process; the health education and case analysis module provides a teaching video library, health case display and analysis, and personalized learning path recommendations.

[0048] The platform management module is used to manage user data, expert appointments, advertising push and operational data; user data management (health data storage, analysis, privacy protection), expert management (appointment management, health report viewing), and then advertising push and precision marketing as well as platform operation data analysis.

[0049] The health content service module is synchronized with the mini program and the mobile terminal. Users can remotely control the device, obtain health services, and view conditioning records on their mobile phones; the mini program remote control and data synchronization, health content services (health information, push notifications), and health data cloud storage and analysis.

[0050] The data and reports of the physical conditioning and testing system will be fed back to the health education and case analysis module, which will automatically recommend relevant teaching videos and cases based on the user's health status to help users better understand their health status and conditioning methods;

[0051] Realize real-time health management and learning, and enhance users' health awareness and sense of participation.

[0052] The results of the facial anti-aging management system are transmitted to the expert audio and video connection and health consultation module. Users can discuss the facial care effects with experts at any time after receiving care, and experts will give personalized suggestions based on the test data.

[0053] Through real-time consultation, users can get professional guidance and suggestions during the care process to improve the care effect.

[0054] In the expert audio and video connection and health consultation module service, experts can recommend relevant health education videos and cases based on the health data of the body conditioning and detection module to help users gain a deeper understanding of the theoretical and practical basis of the conditioning plan. Conversely, users can also discuss questions with experts after learning the educational content of health education and case analysis.

[0055] The combination of educational resources and expert services allows users to acquire knowledge while receiving personalized professional support.

[0056] Users can activate the body conditioning and detection modules through voice intelligent control and voice commands of the human-computer interaction module, and can also understand the current health data and adjust the conditioning mode at any time through voice.

[0057] Greatly simplify user operations and improve the personalization and convenience of the maintenance process.

[0058] The platform management module analyzes data based on the user's health status and usage habits, and pushes personalized advertisements and health content services to help users discover more suitable health products and services. The accuracy of advertising push improves the commercial operation effect of the platform, and the health content services are deeply integrated with the user's health status, which improves the user experience and participation.

[0059] The body conditioning and detection module provides accurate treatment plans based on the user's detection data. The method is as follows:

[0060] S1. Collect user data to establish a multi-dimensional user health data model: including physiological indicators, basic signs such as heart rate, blood pressure, blood oxygen, body temperature, etc.; physical condition data, meridians, blood circulation, muscle tension, skin elasticity; historical health data, user's medical history, previous health reports, and past treatment effects; after analyzing the above data through the physical conditioning and detection module, a multi-dimensional health portrait of the user is constructed;

[0061] S2. Intelligent analysis and data processing: Use machine learning and big data analysis algorithms to generate prediction models by learning a large amount of user health data and efficacy data;

[0062] 1. Data collection and preprocessing

[0063] The accuracy of a machine learning model is highly dependent on the data used, so ensuring the quality and richness of the data is important during this step.

[0064] 1.1 Data Collection

[0065] The system needs to obtain the user's health data and efficacy feedback from multiple dimensions. These data may include:

[0066] Physiological indicator data: such as heart rate, blood pressure, blood oxygen, body temperature, etc.

[0067] Posture and muscle data: such as muscle tension, skin elasticity, etc.

[0068] Behavior and habit data: sleep, exercise, eating habits, etc.

[0069] Treatment process data: detailed parameters and user feedback of each magnetic therapy and microcurrent treatment.

[0070] Historical medical history data: user’s medical history, family medical history, past treatment records, etc.

[0071] Feedback data: The user’s subjective evaluation of the efficacy of the treatment after treatment (such as the degree of symptom relief, physical comfort, etc.).

[0072] This data can be obtained through sensors, questionnaires filled out by users, diagnostic records of experts, etc.

[0073] 1.2 Data Preprocessing

[0074] In big data analysis, data preprocessing is crucial. Common data preprocessing steps include:

[0075] Data cleaning: remove missing values, duplicate data, outliers, etc. Ensure data integrity and consistency.

[0076] Data normalization and standardization: Different physiological indicators may have different units and magnitudes, and need to be normalized or standardized so that the model can learn better.

[0077] Feature engineering: Generate more meaningful features. For example, raw data such as heart rate and blood pressure can be converted into some features such as fluctuation range, daily trends, etc. Feature engineering is one of the key steps to improve model performance.

[0078] Category encoding: Encode some categorical data, such as gender, medical history, etc., so that the model can process it.

[0079] Data splitting: Divide the dataset into training, validation, and test sets to ensure that model training and testing are independent of each other.

[0080] 2. Feature Engineering

[0081] Feature engineering is to extract the variables that are most helpful for model prediction from the data. Specific methods include:

[0082] 2.1 Feature Selection

[0083] Filtering methods: Use statistical methods to select features that are highly correlated with therapeutic efficacy (such as chi-square test, Pearson correlation coefficient).

[0084] Packaging methods: such as recursive feature elimination (RFE), which trains a baseline model and continuously removes unimportant features to select the most useful features.

[0085] Embedding methods: Some models (such as decision trees and random forests) automatically evaluate the importance of features during training. This property can be used for feature selection.

[0086] 2.2 Feature combination

[0087] By combining different original features, new features are generated. For example:

[0088] The parameters of a particular therapy are combined with the physiological indicators of a specific user to generate a new feature (such as a combination of therapy intensity and user muscle tension).

[0089] 2.3 Feature Extraction

[0090] Extract core features through dimensionality reduction techniques. Common methods include:

[0091] PCA (Principal Component Analysis): Used to reduce the dimensionality of high-dimensional data while retaining the most useful feature information.

[0092] Autoencoder: compresses and decompresses data through a neural network to extract hidden features.

[0093] 3. Model training

[0094] Choose a suitable machine learning algorithm to train the model. Different algorithms can be chosen based on the complexity of the problem.

[0095] 3.1 Supervised Learning Model

[0096] If the user's health data and efficacy data have been labeled, a supervised learning algorithm can be used to train the predictive model.

[0097] Linear regression: used to predict continuous treatment effects, such as changes in a physiological indicator after a certain treatment.

[0098] Decision Trees and Random Forests: These can be used to generate classification models of treatment efficacy, predicting whether a particular user will respond positively to a treatment.

[0099] Support Vector Machine (SVM): Applicable to high-dimensional data sets and can find the best classification boundaries in complex health data space.

[0100] Gradient Boosted Decision Tree (GBDT): Suitable for scenarios that require accurate predictions, and can improve prediction performance through iteration.

[0101] 3.2 Unsupervised Learning Model

[0102] For some unlabeled health data, unsupervised learning algorithms can be used to discover potential health patterns.

[0103] K-means clustering: users are divided into groups with different health status, and the system can develop personalized plans based on group characteristics.

[0104] DBSCAN: A density clustering algorithm suitable for the presence of outliers in health data.

[0105] 3.3 Deep Learning Model

[0106] For complex data (such as time series data or high-dimensional multi-dimensional health data), deep learning methods can be used.

[0107] LSTM (Long Short-Term Memory Network): Suitable for analyzing users’ time series health data (such as changes in heart rate and blood pressure).

[0108] Convolutional Neural Networks (CNN): If you are working with image data (such as skin scans or medical images), CNNs can be used to automatically extract features and generate predictions.

[0109] 4. Model evaluation and optimization

[0110] After training the model, it needs to be evaluated and optimized to ensure the generalization ability and accuracy of the model.

[0111] 4.1 Model Evaluation

[0112] Accuracy, precision, recall, and F1-score: used to evaluate the performance of classification models.

[0113] Mean square error (MSE), root mean square error (RMSE): used to evaluate the performance of regression models.

[0114] AUC-ROC curve: Evaluates the performance of the model in classification problems, especially the performance on imbalanced datasets.

[0115] 4.2 Hyperparameter Tuning

[0116] Grid Search: Find the best hyperparameter value under multiple combinations of hyperparameter values.

[0117] Random Search: Finds the best parameters by randomly sampling the hyperparameter space.

[0118] Bayesian optimization: Use the Bayesian formula to continuously update the model's estimate of hyperparameters to find the optimal combination.

[0119] 4.3 Cross-Validation

[0120] K-fold cross validation was used to ensure that the model was robust to different partitions of the dataset and to avoid overfitting.

[0121] 5. Deployment and Application

[0122] Once the model passes the evaluation, it can be deployed into the system to provide personalized treatment plans in real time.

[0123] 5.1 Model Ensemble

[0124] Integrate multiple models (such as ensemble learning, through bagging or boosting) to improve the robustness and prediction accuracy of the model. For example, the system can use random forest and LSTM models at the same time to process different types of data and perform weighted averaging of the results.

[0125] 5.2 Real-time prediction and feedback

[0126] The system can dynamically generate the treatment plan that best suits the user's current health status based on the user's real-time health data and use predictive models, and continuously optimize it based on efficacy feedback.

[0127] 5.3 Model Update

[0128] As more data is accumulated, the model is retrained or fine-tuned regularly to ensure that the model can adapt to new user data and treatment trends.

[0129] S3. Precision conditioning plan in stages: Provide multi-stage treatment plans according to different health conditions of users, and each stage is adjusted based on the test results and treatment effects of the previous stage;

[0130] S4. Personalized parameter adjustment: Automatically adjust treatment parameters according to different health problems;

[0131] S5. Real-time feedback and adjustment: Continuously obtain the user's real-time data for dynamic adjustment: Real-time acquisition of the user's physiological feedback data, including body temperature, heart rate, and skin condition, to determine whether the treatment is excessive or insufficient. If a certain indicator is detected to be out of the normal range, the treatment intensity will be immediately reduced or the treatment will be suspended. Conversely, if the user is detected to be in a good state, the efficacy will be enhanced;

[0132] S6. Personalized report and feedback: After the treatment, a detailed conditioning report will be generated, which users can view through the mini program. The system will record each conditioning result of the user and compare it with the previous data to show the specific situation of health improvement. According to the effect of each treatment, the user's feedback is collected to judge the efficacy;

[0133] S7. Expert intervention and refined treatment: When the user's health data cannot be automatically resolved by the physical conditioning and detection module, the expert audio and video connection and health consultation module will intervene to recommend an audio and video connection with an expert. The expert will review the user's health data and conditioning history, and propose a more refined treatment plan based on experience.

[0134] S4 includes the following steps:

[0135] Initial diagnosis and treatment: Based on the data from the first test, we provide preliminary treatment suggestions, including basic whole-body treatment, meridian dredging, micro-current stimulation, and automatically adjust the intensity, frequency and time of treatment to provide a gentle treatment plan;

[0136] Mid-term tracking and optimization: Continuously monitor the user's conditioning effect and adjust the intensity and method of the treatment plan based on real-time data;

[0137] Later stage in-depth treatment: For specific health problems, through health education and case analysis modules combined with previous treatment plans, more in-depth targeted conditioning is carried out and special treatment suggestions are provided.

[0138] See also Figure 2-4 A magnetic therapy device includes a shell, a water tank is fixedly connected to the inner wall of the shell, the water tank is connected to a water pump through a two-way water pipe, the water pump is connected to a temperature controller through a two-way water pipe, the temperature controller is connected to a diverter through a two-way water pipe, the diverter is connected to two copper pots through two two-way water pipes respectively, and the water tank is also connected to a water exchange pipe.

[0139] The two-way water pipe includes an outer protective shell and two independent water pipes inside, and the two water pipes are a water outlet pipe and a water return pipe respectively.

[0140] When in use, the device is powered on, and a magnetic field is generated between the two copper kettles. The principle of electromagnetic induction is that electric current is generated in human tissue. At the same time, water flows inside the copper kettle, and its temperature is controlled by a temperature controller, making the user's use process more comfortable. The principle of this application is to use a 1.5V microcurrent combined with a water oxygen kettle to convert it into a magnetic field when it encounters water. The use of this magnetic field on the human body to regulate or improve sub-health problems is called magnetic therapy. Water is electrolyzed to produce hydrogen and oxygen. This heat carrying oxygen reaches the lesion in the form of invisible microneedles, quickly opens up the meridians, activates cells, and nourishes the spinal nerves, improving circulation, absorption, and metabolism problems caused by long-term blockage of the body's meridians, body fluids, and qi and blood. Persistent use can achieve the effect of regulating the five internal organs, cultivating the six internal organs, and improving immunity.

[0141] Example 2: Figure 5 The figure shows the key circuit of copper kettle output. Two copper kettles are connected to COM1 and GND respectively. The single chip microcomputer PA6 in the schematic diagram controls the output of a low-frequency PWM signal of about 40Hz. When Q13 is turned on, the coil windings of T2 transformer 1-3 and 3-5 are energized to generate a low-frequency electromagnetic field. When Q13 is turned off, the coil windings have no electromagnetic field output. The duty cycle of PWM is controlled by PA6 to control the size of electromagnetic energy. When using, the copper kettle is in contact with human skin. The principle of electromagnetic induction is that current is generated in human tissue. When the low-frequency electromagnetic field passes through human tissue, it will induce a weak current. These currents can cause a series of physiological reactions in human tissue, thereby achieving the effect of improving body functions.

[0142] like Figure 6 The figure shows the key circuit of facial massage, which has two interfaces, among which "RF BIO" is a low-frequency micro-electric output interface with a fixed frequency, and the "micro-electric" interface is a controllable frequency micro-electric interface. "RF BIO" can generate a low-frequency micro-current of 1MHz for heating, and the heat generation is controlled through the OPT port; the "micro-electric" interface is a controllable low-frequency micro-electric interface, which is used to generate a low-frequency magnetic field of about 40Hz. When the facial skin contacts the two poles of the probe, a weak current is generated to stimulate the skin tissue, so as to improve the function of the skin tissue.

[0143] The basic principles, main features and advantages of the present invention are shown and described above; those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention and are not used to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected; the scope of protection claimed by the present invention is determined by the attached claims and their effects.

Claims

1. A biomagnetic therapy management system, characterized in that: It includes voice intelligent control and human-computer interaction module, body conditioning and detection module, facial anti-aging management module, expert audio and video connection and health consultation module, health education and case analysis module, platform management module, and health content service module; The voice intelligent control and human-computer interaction module controls all operations and functions of the system through voice commands, achieving intelligent management and seamless user experience; The body conditioning and detection module is based on bio-electromagnetic therapy technology to perform body conditioning and health detection on users and improve sub-health status; The facial anti-aging management module combines magnetic quantum microwave technology with EMS muscle remodeling therapy to provide users with comprehensive facial care, anti-aging and beauty care; The expert audio and video connection and health consultation module provides expert online audio and video connection services, so that users can consult health problems remotely and obtain personalized conditioning plans; The health education and case analysis module provides health-related educational resources and case analysis to help users learn health management skills and understand the effects of the nursing process; The platform management module is used to manage user data, expert appointments, advertising push and operational data; The health content service module is synchronized with the mobile terminal through the mini program, and users can remotely control the device, obtain health services, and view conditioning records on their mobile phones; The data and reports of the physical conditioning and detection system are fed back to the health education and case analysis module, which automatically recommends relevant teaching videos and cases according to the user's health status to help the user better understand his or her health status and conditioning methods; The results of the facial anti-aging management system are transmitted to the expert audio and video connection and health consultation module. After receiving the care, the user can discuss the facial care effect with the expert at any time, and the expert will give personalized suggestions based on the test data; In the expert audio and video connection and health consultation module service, experts recommend relevant health education videos and cases based on the health data of the body conditioning and detection module to help users gain a deeper understanding of the theoretical and practical basis of the conditioning plan; Users discuss queries with experts after learning educational content on health education and case analysis.

2. A biomagnetic therapy management system according to claim 1, characterized in that: Users can activate the body conditioning and detection modules through voice intelligent control and voice commands of the human-computer interaction module, and can also understand the current health data and adjust the conditioning mode at any time through voice.

3. A biomagnetic therapy management system according to claim 2, characterized in that: The platform management module performs data analysis based on the user's health status and usage habits, thereby pushing personalized advertisements and health content services to help users discover more suitable health products and services.

4. A biomagnetic therapy management system according to claim 3, characterized in that: The body conditioning and detection module provides accurate treatment plans based on the user's detection data, as follows: S1. Collect user data to establish a multi-dimensional user health data model: including physiological indicators, basic signs such as heart rate, blood pressure, blood oxygen, body temperature, etc.; physical condition data, meridians, blood circulation, muscle tension, skin elasticity; historical health data, user's medical history, previous health reports, and past treatment effects; after analyzing the above data through the physical conditioning and detection module, a multi-dimensional health portrait of the user is constructed; S2. Intelligent analysis and data processing: Use machine learning and big data analysis algorithms to generate prediction models by learning a large amount of user health data and efficacy data; S3. Precision conditioning plan in stages: Provide multi-stage treatment plans according to different health conditions of users, and each stage is adjusted based on the test results and treatment effects of the previous stage; S4. Personalized parameter adjustment: Automatically adjust treatment parameters according to different health problems; S5. Real-time feedback and adjustment: Continuously obtain the user's real-time data for dynamic adjustment: Real-time acquisition of the user's physiological feedback data, including body temperature, heart rate, and skin condition, to determine whether the treatment is excessive or insufficient. If a certain indicator is detected to be out of the normal range, the treatment intensity will be immediately reduced or the treatment will be suspended. Conversely, if the user is detected to be in a good state, the efficacy will be enhanced; S6. Personalized report and feedback: After the treatment, a detailed conditioning report will be generated, which users can view through the mini program. The system will record each conditioning result of the user and compare it with the previous data to show the specific situation of health improvement. According to the effect of each treatment, the user's feedback is collected to judge the efficacy; S7. Expert intervention and refined treatment: When the user's health data cannot be automatically resolved by the physical conditioning and detection module, the expert audio and video connection and health consultation module will intervene to recommend an audio and video connection with an expert. The expert will review the user's health data and conditioning history, and propose a more refined treatment plan based on experience.

5. A biomagnetic therapy management system according to claim 4, characterized in that: The S4 comprises the following steps: Initial diagnosis and treatment: Based on the data from the first test, we provide preliminary treatment suggestions, including basic whole-body treatment, meridian dredging, micro-current stimulation, and automatically adjust the intensity, frequency and time of treatment to provide a gentle treatment plan; Mid-term tracking and optimization: Continuously monitor the user's conditioning effect and adjust the intensity and method of the treatment plan based on real-time data; Later stage in-depth treatment: For specific health problems, through health education and case analysis modules combined with previous treatment plans, more in-depth targeted conditioning is carried out and special treatment suggestions are provided.

6. A magnetic therapy device, relating to the biomagnetic therapy management system according to claim 5, characterized in that: The invention comprises a shell (1), a water tank (2) is fixedly connected to the inner wall of the shell (1), the water tank (2) is connected to a water pump (6) via a two-way water pipe, the water pump (6) is connected to a temperature controller (4) via a two-way water pipe, the temperature controller (4) is connected to a flow divider (3) via a two-way water pipe, the flow divider (3) is respectively connected to two copper kettles (7) via two two-way water pipes, and the water tank (2) is also connected to a water exchange pipe (5).

7. A biomagnetic therapy management system and magnetic therapy equipment according to claim 6, characterized in that: The two-way water pipe comprises an outer protective shell and two independent water pipes inside, wherein the two water pipes are a water outlet pipe and a water return pipe respectively.

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