An optimized method for evaluating the effects of satiety and stomach-occupying capsules with multi-dimensional monitoring

Through multi-dimensional monitoring methods, including collecting satiety scores and tracking the gastric emptying process, building a satiety model and performing fuzzy reasoning, the problem of incomplete evaluation of the effect of occupancy capsules in the existing technology is solved, and personalized optimization and optimal results are achieved.

CN119719690BActive Publication Date: 2025-06-20BEIJING YIJIA LAO XIAO TECH CO LTD
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Patent Information

Application Number
CN202510220725.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-02-27
Publication Date
2025-06-20
Estimated Expiration
2045-02-27

AI Technical Summary

Technical Problem

The method for evaluating the effect of zoogaster capsules in the prior art has limitations, and it is impossible to comprehensively and accurately monitor and evaluate its actual effect in different usage situations.

Method used

The satiety score was collected through the visual analog scale VAS, combined with Kaplan-Meier curve analysis, and the satiety change rate was calculated; the gastric emptying process was tracked using radiotracers, and a satiety model was constructed, a satiety evaluation coefficient was generated, and a fuzzy reasoning was performed to determine whether the use plan of the gastric capsule was optimized.

Benefits of technology

A comprehensive and accurate evaluation of the effect of Zhanwei Capsules is achieved, personalized optimization suggestions are provided, and the accuracy and personalization of the effect are improved, ensuring that users can obtain the best results during use.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses an optimized method for evaluating the effects of a satiety and stomach-occupying capsule through multi-dimensional monitoring, which relates to the technical field of evaluation and optimization. It includes collecting the scores of stomach-occupying capsule takers on satiety, analyzing through curves, and calculating the satiety change rate of the takers; obtaining the concentration of the radioactive tracer in the stomach based on the gastric emptying curve model according to the gastric emptying process, and calculating the gastric emptying time of the radioactive tracer based on the concentration of the radioactive tracer; analyzing the short-term effects after taking the stomach-occupying capsule through the satiety change rate and the gastric emptying time; analyzing the long-term effects after taking the stomach-occupying capsule according to the change in food intake and the weight change rate; judging whether the process of taking the stomach-occupying capsule needs to be optimized based on fuzzy inference, and generating a personalized optimization plan. Through multi-dimensional data monitoring, the present invention can comprehensively evaluate the use effects of the stomach-occupying capsule, rather than relying solely on single subjective feedback, increasing the accuracy and comprehensiveness of the evaluation.
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Description

Technical Field

[0001] The present invention relates to the technical field of evaluation and optimization, and more specifically, to a method for evaluating and optimizing the effects of satiety and stomach-occupying capsules with multi-dimensional monitoring. Background Art

[0002] With the increasing demand for health management in modern society, weight management and appetite control have become the focus of attention for more and more people. As a product for controlling appetite, stomach-occupying capsules generate a sense of satiety by filling the gastric cavity, helping to slow down food intake and improve weight management.

[0003] Deficiencies of the prior art:

[0004] The existing methods for evaluating the effects of stomach-occupying capsules have certain limitations. They often rely on single subjective feelings or simple quantitative indicators and cannot comprehensively and accurately monitor and evaluate their actual effects in different usage scenarios. Therefore, the present invention uses a multi-angle monitoring method to comprehensively evaluate the effects of stomach-occupying capsules in generating satiety and continuously optimize the evaluation process to ensure the best effects.

[0005] In view of the above problems, the present invention proposes a solution. Summary of the Invention

[0006] To overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method for evaluating and optimizing the effects of satiety and stomach-occupying capsules with multi-dimensional monitoring. Through a multi-angle monitoring method, the effects of stomach-occupying capsules in generating satiety are comprehensively evaluated, and the evaluation process is continuously optimized to solve the problems raised in the above background art.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A method for evaluating and optimizing the effects of satiety and stomach-occupying capsules with multi-dimensional monitoring, comprising: collecting the scores of stomach-occupying capsule takers on satiety according to the Visual Analogue Scale (VAS) at different times, and analyzing them through the Kaplan-Meier curve to calculate the satiety change rate of the takers; using a radioactive tracer to track the gastric emptying process, obtaining the concentration of the radioactive tracer in the stomach based on the gastric emptying curve model according to the gastric emptying process, and calculating the gastric emptying time of the radioactive tracer according to the concentration of the radioactive tracer.

[0009] Construct a satiety model based on the satiety change rate and gastric emptying time, generate a satiety evaluation coefficient, and analyze the short-term effects after taking the stomach-occupying capsule; long-term monitor the changes in the food intake and weight change rate of the takers, and analyze the long-term effects after taking the stomach-occupying capsule based on the changes in food intake and weight change rate; based on the short-term and long-term effects after taking the stomach-occupying capsule, judge whether the process of taking the stomach-occupying capsule needs to be optimized through fuzzy reasoning, and generate a personalized optimization plan by optimizing the usage frequency, dosage, and usage method of the stomach-occupying capsule.

[0010] In a preferred embodiment, the specific process of analyzing through the Kaplan-Meier curve and calculating the satiety change rate of the taker is as follows: Analyze through the Kaplan-Meier curve. When the change in VAS score is greater than a predetermined critical value, satiety reaches a significant change, and record the VAS score at which satiety reaches a significant change; and obtain the time from the start of taking the stomach-occupying capsule by the taker to reaching the predetermined critical value through the curve; calculate the satiety change rate of the taker based on the change in VAS score and the time from the start of taking the stomach-occupying capsule to reaching the predetermined critical value.

[0011] In a preferred embodiment, the specific steps of obtaining the concentration of the radioactive tracer in the stomach based on the gastric emptying process and the gastric emptying curve model are as follows: Measure the concentration of the radioactive tracer in the stomach at regular intervals; plot the concentration data of the radioactive tracer at different time points measured into a gastric emptying curve, with the vertical axis representing the concentration of the tracer and the horizontal axis representing time, reflecting the emptying characteristics of the stomach; fit a mathematical model of the gastric emptying curve through nonlinear least squares method to calculate the concentration of the radioactive tracer in the stomach; and calculate the gastric emptying time of the radioactive tracer based on the concentration of the radioactive tracer.

[0012] In a preferred embodiment, the specific process of analyzing the short-term effects after taking the stomach-occupying capsule is as follows: Analyze the short-term effects after taking the stomach-occupying capsule according to the satiety evaluation coefficient, and compare and analyze the satiety evaluation coefficient with a preset satiety evaluation threshold; if the satiety evaluation coefficient is greater than the preset satiety evaluation threshold, the short-term effects after taking the stomach-occupying capsule are good; if the satiety evaluation coefficient is less than the preset satiety evaluation threshold, the short-term effects after taking the stomach-occupying capsule are poor, and enhance the short-term effects after taking the stomach-occupying capsule by delaying gastric emptying and reducing food intake.

[0013] In a preferred embodiment, the specific process of obtaining the change in food intake is as follows: Regularly monitor the food intake and eating frequency of the taker at different time periods, and calculate the calories ingested before taking and after taking within a predetermined time period; calculate the change in food intake of long-term takers based on the calories ingested before taking and after taking.

[0014] In a preferred embodiment, the specific process for obtaining the weight change rate is as follows: Obtain the weight of the user before taking the gastric occupying capsule and after taking the gastric occupying capsule, and calculate the weight change within a predetermined time period; Calculate the weight change rate of the user based on the weight change and the time period.

[0015] In a preferred embodiment, it is characterized in that the process for analyzing the long-term effect after taking the gastric occupying capsule based on the change in food intake and the weight change rate is as follows: Generate a long-term effect evaluation coefficient based on the change in food intake and the weight change, compare and analyze the long-term effect evaluation coefficient with a preset long-term effect evaluation threshold. If the long-term effect evaluation coefficient is greater than the preset long-term effect evaluation threshold, the long-term effect after taking the gastric occupying capsule is good; if the long-term effect evaluation coefficient is less than the preset long-term effect evaluation threshold, the long-term effect after taking the gastric occupying capsule is poor, and enhance the long-term effect after taking the gastric occupying capsule by reducing food intake.

[0016] In a preferred embodiment, the process for determining whether the process of taking the gastric occupying capsule needs to be optimized based on the short-term effect and the long-term effect after taking the gastric occupying capsule through fuzzy inference is as follows:

[0017] Define the satiety evaluation coefficient and the long-term effect evaluation coefficient as input variables, and divide them into different fuzzy sets respectively; Define whether the process of taking the gastric occupying capsule needs to be optimized as an output variable, and divide it into a fuzzy set; Formulate fuzzy rules to describe the influence of the satiety evaluation coefficient and the long-term effect evaluation coefficient on whether the process of taking the gastric occupying capsule needs to be optimized; Perform fuzzy inference according to the fuzzy rules to determine whether the process of taking the gastric occupying capsule needs to be optimized.

[0018] The technical effects and advantages of a multi-dimensional monitoring method for satiety and evaluation and optimization of the effect of the gastric occupying capsule of the present invention:

[0019] 1. Through multi-dimensional data monitoring, the present invention can comprehensively evaluate the use effect of the gastric occupying capsule, rather than relying solely on a single subjective feedback, increasing the accuracy and comprehensiveness of the evaluation; This method can provide personalized optimization suggestions according to the specific conditions of different users, making the effect of the gastric occupying capsule more in line with the needs of each user, and can automatically adjust the use plan according to real-time data feedback, enabling users to obtain the best effect during the use process; Provide a long-term effect tracking function to help users gradually achieve health management goals, such as weight control, appetite management, etc.; By monitoring the physiological reactions of individuals after taking the gastric occupying capsule, it can accurately judge the satiety change of each user and its effect on gastric occupancy, and then provide customized solutions for the needs of different individuals.

[0020] 2. By collecting data on satiety and gastric occupancy effects in real time, the present invention can be optimized in the design and application of the capsule, such as adjusting the release rate of the capsule, the ingredient ratio, and the interaction with the stomach, etc.; by monitoring and analyzing various data, the effects of the gastric occupancy capsule can be precisely adjusted to avoid excessive gastric occupancy or other side effects while satisfying satiety, improving its safety and effectiveness; according to the physiological characteristics and feedback of different individuals, the dosage and usage method of the capsule can be adjusted in a timely manner to avoid excessive satiety or gastric discomfort, reducing the burden on the gastrointestinal tract. Through multi-dimensional monitoring, potential adverse reactions can be captured in real time, so as to intervene in advance and avoid serious side effects or discomfort symptoms. Brief Description of the Drawings

[0021] Figure 1 It is a schematic structural diagram of a method for evaluating and optimizing the effects of satiety and gastric occupancy capsule with multi-dimensional monitoring according to the present invention. Detailed Embodiments

[0022] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0023] Embodiment 1, Figure 1 A method for evaluating and optimizing the effects of satiety and gastric occupancy capsule with multi-dimensional monitoring according to the present invention is given.

[0024] S10, collect the scores of satiety of gastric occupancy capsule takers at different times according to the Visual Analogue Scale (VAS), and analyze them with the Kaplan-Meier curve to calculate the change rate of satiety of the takers;

[0025] The Visual Analogue Scale (VAS) is used to measure the degree of satiety, usually on a scale of 0-10, where 0 represents no satiety at all and 10 represents extreme satiety; patients score satiety at the initial stage, and after taking the gastric occupancy capsule, each subject scores satiety at the same time interval;

[0026] And analyze with the Kaplan-Meier curve. When the change in VAS score is greater than a certain predetermined critical value, satiety is regarded as a significant change;

[0027] And obtain the time from the start of taking the gastric occupancy capsule to reaching the predetermined critical value of the taker through the curve,

[0028] Calculate the satiety change rate of the user according to the change in the VAS score and the time from starting to take the gastric occupancy capsule to reaching the predetermined critical value. The specific calculation formula is as follows: ; where B is the satiety change rate, t is the time from starting to take the gastric occupancy capsule to reaching the predetermined critical value, is the change in the VAS score, is the VAS score before taking the medicine, is the VAS score when the satiety reaches a significant change after taking the medicine.

[0029] S20, Use a radioactive tracer to track the gastric emptying process, obtain the concentration of the radioactive tracer in the stomach based on the gastric emptying curve model according to the gastric emptying process, and calculate the gastric emptying time of the radioactive tracer according to the concentration of the radioactive tracer;

[0030] Radioactive tracers are usually some safe radioactive isotopes that can emit gamma rays (such as chlorine-36, cesium-137, etc.). They are added to liquid or solid foods (such as capsules, post-meal foods, etc.). After the patient eats the food containing the radioactive tracer, a special gamma camera or other radioactive detection equipment is used to regularly monitor the distribution and concentration of the tracer in the stomach, so as to obtain the emptying process of the substances in the stomach;

[0031] The specific steps to obtain the concentration of the radioactive tracer in the stomach based on the gastric emptying curve model according to the gastric emptying process are as follows:

[0032] During the experiment, record the concentration of the tracer in the stomach at regular intervals, and regularly obtain the activity values of the radioactive tracer in the stomach at different time points through a scanning device;

[0033] The radioactivity intensity of the radioactive tracer in the stomach is measured at each time point, and its concentration is calculated according to the radioactivity intensity;

[0034] Plot the concentration data of the radioactive tracer at different time points measured into a gastric emptying curve, with the vertical axis representing the concentration or relative radioactivity intensity of the tracer and the horizontal axis representing time;

[0035] Generally, the gastric emptying curve shows a rapid emptying stage (initial stage), and then enters a slower emptying stage (late stage). The shape of this curve can reflect the gastric emptying characteristics;

[0036] According to the experimental data, fit the mathematical model of the gastric emptying curve by the nonlinear least squares method or other numerical fitting methods. Through the mathematical model obtained by fitting, calculate the concentration of the radioactive tracer in the stomach. The specific calculation formula is as follows: ; where is the concentration of the radioactive tracer in the stomach, is the concentration of the radioactive tracer at the initial moment, k is the gastric emptying rate constant, and t is the time;

[0037] And calculate the gastric emptying time of the radioactive tracer according to the concentration of the radioactive tracer. The specific calculation formula is as follows: ; where is the gastric emptying time, is the concentration of the radioactive tracer in the stomach, is the concentration of the radioactive tracer at the initial moment.

[0038] S30. Construct a satiety model through the satiety change rate and the gastric emptying time, generate a satiety evaluation coefficient, and analyze the short-term effect after taking the stomach-occupying capsule;

[0039] The specific calculation formula for constructing a satiety model through the satiety change rate and the gastric emptying time and generating a satiety evaluation coefficient is as follows: ; where, is the satiety evaluation coefficient, B is the satiety change rate, is the gastric emptying time, is the satiety evaluation constant, which is greater than 0.

[0040] According to the satiety evaluation coefficient, analyze the short-term effect after taking the stomach-occupying capsule. Compare and analyze the satiety evaluation coefficient with the preset satiety evaluation threshold. If the satiety evaluation coefficient is greater than the preset satiety evaluation threshold, the short-term effect after taking the stomach-occupying capsule is good. If the satiety evaluation coefficient is less than the preset satiety evaluation threshold, the short-term effect after taking the stomach-occupying capsule is poor. Enhance the short-term effect after taking the stomach-occupying capsule by delaying gastric emptying and reducing food intake.

[0041] S40. Long-term monitor the changes in the food intake and the weight change rate of the takers, and analyze the long-term effect after taking the stomach-occupying capsule according to the changes in the food intake and the weight change rate;

[0042] Regularly monitor the food intake and eating frequency of the takers at different time periods, and calculate the calories ingested before taking and the calories ingested after taking within a predetermined time period. Calculate the change in the food intake of the long-term monitored takers according to the calories ingested before taking and the calories ingested after taking. The predetermined time period includes a one-month cycle;

[0043] The specific calculation formula for the change in the food intake is as follows: 00%; where, H is the change in the food intake, is the calories ingested per meal before taking, is the calories ingested per meal after taking, is the number of meals per day before taking, is the number of meals per day after taking, and T is the predetermined time period, in days;

[0044] Obtain the weight of the user before and after taking the stomach-occupying capsule, calculate the weight change within a predetermined time period, and calculate the weight change rate of the user based on the weight change and the time period. The specific formula is as follows: ; where L is the weight change rate, T is the predetermined time period, is the weight of the user after taking the stomach-occupying capsule, is the weight of the user before taking the stomach-occupying capsule;

[0045] Generate a long-term effect evaluation coefficient based on the change in food intake and the weight change. The specific formula is as follows: ; where X is the long-term effect evaluation coefficient, H is the change in food intake, L is the weight change rate, is the weight change rate weighting factor, is the food intake change weighting factor;

[0046] Compare and analyze the long-term effect evaluation coefficient with the preset long-term effect evaluation threshold. If the long-term effect evaluation coefficient is greater than the preset long-term effect evaluation threshold, the long-term effect after taking the stomach-occupying capsule is good. If the long-term effect evaluation coefficient is less than the preset long-term effect evaluation threshold, the long-term effect after taking the stomach-occupying capsule is poor. Enhance the long-term effect after taking the stomach-occupying capsule by reducing food intake.

[0047] S50. Based on the short-term effect and long-term effect after taking the stomach-occupying capsule, judge whether the process of taking the stomach-occupying capsule needs to be optimized through fuzzy inference. If the process of taking the stomach-occupying capsule needs to be optimized, generate a personalized optimization plan by optimizing the usage frequency, dosage, and usage method of the stomach-occupying capsule.

[0048] The process of judging whether the process of taking the stomach-occupying capsule needs to be optimized based on the short-term effect and long-term effect after taking the stomach-occupying capsule through fuzzy inference is as follows:

[0049] Step C1. Define the satiety evaluation coefficient and the long-term effect evaluation coefficient as input variables, and divide them into different fuzzy sets respectively.

[0050] For example, "Low", "High" for the satiety evaluation coefficient, and "Low", "High" for the long-term effect evaluation coefficient.

[0051] Step C2. Define whether the process of taking the stomach-occupying capsule needs to be optimized as an output variable, and divide it into a fuzzy set. For example, "No", "Yes" for whether the process of taking the stomach-occupying capsule needs to be optimized.

[0052] Step C3, formulate a set of fuzzy rules to describe the influence of different input variables on the output variable. The definition of the rules can be based on professional knowledge or obtained through data analysis and experiments. For example:

[0053] Mark the satiety evaluation coefficient as D, the long-term effect evaluation coefficient as X, and mark whether the process of taking the stomach-occupying capsule needs to be optimized as P, then the following can be defined

[0054] Rule 1: If (D is Low) and (X is Low), then (P is Yes )

[0055] Rule 2: If (D is High) and (X is High), then (P is No ) ...

[0057] Step C4, perform fuzzy reasoning according to the fuzzy rules to determine whether the process of taking the stomach-occupying capsule needs to be optimized.

[0058] It should be noted that the division of fuzzy sets can be adjusted according to the actual situation. For example, although three fuzzy sets are taken as examples in this embodiment, in fact, the satiety evaluation coefficient, the long-term effect evaluation coefficient, and whether the process of taking the stomach-occupying capsule needs to be optimized can be divided into more than three sets to facilitate better and more accurate identification.

[0059] Furthermore, for the judgment of the high or low of the satiety evaluation coefficient and the long-term effect evaluation coefficient, thresholds can be set according to the actual situation for judgment; when the satiety evaluation coefficient is higher than the preset satiety evaluation threshold, it is marked as "High", and when the long-term effect evaluation coefficient is higher than the preset long-term effect evaluation threshold, it is marked as "High", etc., which will not be elaborated here.

[0060] If the process of taking the stomach-occupying capsule needs to be optimized, generate a personalized optimization plan by optimizing the usage frequency, dosage, and usage method of the stomach-occupying capsule.

[0061] The optimization of the usage frequency should consider personal eating habits and the digestive speed of the gastrointestinal tract:

[0062] Use before meals daily: Usually take the stomach-occupying capsule 30 minutes to 1 hour before meals, which helps to increase satiety and reduce the amount of food eaten during meals. Generally, take it 1-2 times a day, which is most effective for breakfast and dinner.

[0063] Avoid overuse: Too many capsules may cause stomach discomfort (such as flatulence or constipation), so it is recommended to gradually adjust the frequency according to personal physique, and do not exceed 3 times at most.

[0064] Adjustment according to exercise volume: If the exercise volume in a day is large, it may be necessary to reduce the dosing frequency to avoid being unable to meet the body's energy requirements due to reduced food intake.

[0065] The dosage is a key factor affecting the effect of the stomach-occupying capsule. An excessively high dosage may cause side effects, while an excessively low dosage may have no significant effect. The following points should be considered for optimizing the dosage:

[0066] Initial dosage: At the beginning, it is recommended to start with a small dosage. For example, take 1 capsule each time (subject to the specific product), and observe the body's reaction.

[0067] Gradual adjustment: According to personal reactions, the dosage can be gradually increased. The common dosage range is generally 2 capsules each time (about 1 - 2 grams), but it is recommended to follow the package instructions or consult a doctor.

[0068] A reasonable method of use can enhance the effect of the stomach-occupying capsule and reduce side effects:

[0069] 30 minutes before meals: Most stomach-occupying capsules are recommended to be taken half an hour before meals, so that there is enough time for them to expand and occupy the stomach space.

[0070] Use with water: When using the stomach-occupying capsule, a large amount of water (usually about 200 - 300 ml) is required to help the capsule expand and increase the sense of fullness. Otherwise, the capsule may not achieve the best effect.

[0071] Avoid using with other drugs simultaneously: The stomach-occupying capsule may interact with certain drugs (such as antibiotics, hypoglycemic drugs, etc.). Therefore, it is recommended to take other drugs at least 1 hour apart.

[0072] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain a formula closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0073] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0074] Those of ordinary skill in the art can realize that the modules and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0075] In addition, in each embodiment of the present application, each functional module may be integrated into a processing module, may exist separately as individual physical modules, or two or more modules may be integrated into one module.

[0076] As described above, the foregoing are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

[0077] Finally, the foregoing are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A multi-dimensional monitoring method for satiety and stomach-occupying capsule effect evaluation optimization, characterized in that: The following steps are involved: The scores of satiety based on the visual analogue scale (VAS) were collected from the patients who took the capsule at different times, and the results were analyzed by Kaplan-Meier curve to calculate the change rate of satiety of the patients. Using a radioactive tracer to track the gastric emptying process, and obtaining the concentration of the radioactive tracer in the stomach based on the gastric emptying curve model according to the gastric emptying process, and calculating the gastric emptying time of the radioactive tracer according to the concentration of the radioactive tracer; A satiety model was constructed through the satiety change rate and gastric emptying time to generate a satiety evaluation coefficient, and the short-term effects after taking the Zhanwei capsule were analyzed; Long-term monitoring of the food intake and weight change rate of the users, and analysis of the long-term effects of taking the Zhanwei Capsule based on the food intake and weight change rate; According to the short-term and long-term effects after taking Zhanwei Capsule, fuzzy reasoning is used to determine whether the process of taking Zhanwei Capsule needs to be optimized, and a personalized optimization plan is generated by optimizing the frequency, dosage and method of use of Zhanwei Capsule.

2. A multi-dimensional monitoring satiety and stomach capsule effect evaluation optimization method according to claim 1, characterized in that: The specific process of analyzing and calculating the change rate of satiety of the user through the Kaplan-Meier curve is as follows: The Kaplan-Meier curve was used for analysis. When the VAS score change was greater than the predetermined critical value, the satiety achieved a significant change, and the VAS score at which the satiety achieved a significant change was recorded. The time from when the user starts taking the Zhanwei capsule to when the predetermined critical value is reached is obtained through the curve; The change rate of satiety of the users was calculated based on the change of VAS score and the time from the start of taking the Zhanwei capsule to reaching the predetermined critical value; The specific calculation formula of the satiety change rate is as follows: ; Wherein, B is the satiety change rate, t is the time from the start of taking the stomach capsule to reaching the predetermined critical value, is the change in VAS score, is the VAS score before taking the medicine, It is the VAS score when the satiety reaches a significant change after taking the medicine.

3. A multi-dimensional monitoring satiety and stomach capsule effect evaluation optimization method according to claim 2, characterized in that: The specific steps of obtaining the concentration of the radioactive tracer in the stomach based on the gastric emptying curve model according to the gastric emptying process are as follows: The concentration of radioactive tracer in the stomach is measured at regular intervals; The radioactive tracer concentration data measured at different time points are plotted into a gastric emptying curve, with the vertical axis representing the tracer concentration and the horizontal axis representing time, reflecting the emptying characteristics of the stomach; The mathematical model of gastric emptying curve was fitted by nonlinear least square method to calculate the concentration of radioactive tracer in the stomach; The gastric emptying time of the radioactive tracer was calculated based on the concentration of the radioactive tracer.

4. A multi-dimensional monitoring satiety and stomach capsule effect evaluation optimization method according to claim 3, characterized in that: The specific calculation formula for the intragastric radioactive tracer concentration is as follows: ; In the formula is the concentration of radioactive tracer in the stomach, is the concentration of the radiotracer at the initial time, k is the gastric emptying rate constant, and t is time; The specific calculation formula of the gastric emptying time is as follows: ; In the formula is the gastric emptying time, is the concentration of radioactive tracer in the stomach, is the concentration of the radioactive tracer at the initial time.

5. A multi-dimensional monitoring satiety and stomach capsule effect evaluation optimization method according to claim 4, characterized in that: The satiety model is constructed by using the satiety change rate and gastric emptying time to generate the specific calculation formula for the satiety evaluation coefficient as follows: ; In the formula, is the satiety assessment coefficient, B is the satiety change rate, is the gastric emptying time, is the satiety assessment constant, greater than 0.

6. A multi-dimensional monitoring satiety and stomach capsule effect evaluation optimization method according to claim 5, characterized in that: The specific process of analyzing the short-term effects after taking Zhanwei Capsules is as follows: According to the satiety evaluation coefficient, the short-term effect after taking Zhanwei Capsule was analyzed, and the satiety evaluation coefficient was compared with the preset satiety evaluation threshold; If the satiety assessment coefficient is greater than the preset satiety assessment threshold, the short-term effect after taking the Zhanwei capsule is better; If the satiety assessment coefficient is less than the preset satiety assessment threshold, the short-term effect after taking the Zhanwei Capsule is poor. The short-term effect after taking the Zhanwei Capsule can be enhanced by delaying gastric emptying and reducing food intake.

7. A multi-dimensional monitoring satiety and stomach capsule effect evaluation optimization method according to claim 6, characterized in that: The specific process of obtaining the change in food intake is as follows: Regularly monitor the amount and frequency of food intake of the user at different time periods, and calculate the calories consumed before and after taking the medicine within a predetermined time period; Changes in food intake for long-term users were calculated based on pre- and post-dose calories intake; The specific calculation formula for the change in food intake is as follows: 00%; where H is the change in food intake, The calories you take in at each meal before taking it. Is the calorie intake per meal after taking it, is the number of meals per day before taking the medicine, is the number of meals per day after taking the drug, and T is the predetermined time period in days.

8. A multi-dimensional monitoring satiety and stomach-occupying capsule effect evaluation optimization method according to claim 7, characterized in that: The specific process of obtaining the weight change rate is as follows: Obtaining the body weight of the user before and after taking the Zhanwei capsule, and calculating the weight change within a predetermined time period; The weight change rate of the user is calculated based on weight change and time period. The specific formula is as follows: ; Where L is the weight change rate, T is the predetermined time period, is the weight of the user after taking the Zhanwei capsule. It is the weight of the user before taking the capsule.

9. A multi-dimensional monitoring satiety and stomach capsule effect evaluation optimization method according to claim 7, characterized in that: The long-term effect of taking Zhanwei Capsule was analyzed based on the change of food intake and weight change rate as follows: The long-term effect evaluation coefficient is generated based on the change in food intake and weight change. The specific formula is as follows: ; where X is the long-term effect evaluation coefficient, H is the change in food intake, and L is the rate of change in body weight. is the weight factor for changes in food intake, is the weight factor for the rate of change of body weight; Compare and analyze the long-term effect evaluation coefficient with the preset long-term effect evaluation threshold. If the long-term effect evaluation coefficient is greater than the preset long-term effect evaluation threshold, the long-term effect after taking the Zhanwei capsule is better. If the long-term effect evaluation coefficient is less than the preset long-term effect evaluation threshold, the long-term effect after taking the Zhanwei Capsule is not good, and the long-term effect after taking the Zhanwei Capsule can be enhanced by reducing food intake.

10. The method for optimizing the evaluation of satiety and stomach-occupying capsule effect by multi-dimensional monitoring according to claim 7, characterized in that: The short-term and long-term effects after taking the Zhanwei Capsule are judged based on fuzzy reasoning whether the Zhanwei Capsule taking process needs to be optimized, and the specific process is as follows: The satiety evaluation coefficient and the long-term effect evaluation coefficient are defined as input variables, and they are divided into different fuzzy sets respectively; Whether the process of taking the stomach-sucking capsule needs to be optimized is defined as the output variable, and it is divided into fuzzy sets; Formulate fuzzy rules to describe the influence of satiety evaluation coefficient and long-term effect evaluation coefficient on whether the process of taking Zhanwei capsule needs to be optimized; Fuzzy reasoning is performed based on fuzzy rules to determine whether the process of taking the Zhanwei capsule needs to be optimized.

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