A smart satiety management system and method for stomach-enhancing capsules

Abstract

This invention discloses an intelligent satiety management system and method for stomach-enhancing capsules, relating to the technical field of stomach-enhancing capsule management systems. The system acquires stomach-enhancing capsule information, including the initial expansion volume and model, through a stomach-enhancing capsule control platform. After the capsule has been in the user's stomach for a period of time, the system collects stomach state data via built-in sensors. This data is then analyzed using intelligent adjustment rules, and the capsule's expansion volume is adjusted once. Stomach state data and pressure are periodically acquired to determine if a second adjustment of the expansion volume is needed, and a corresponding control strategy is generated based on the determination result. The management system, through the initial expansion volume and subsequent primary and secondary expansion adjustment mechanisms, adjusts the volume according to the user's stomach capacity and real-time stomach state data, avoiding harm caused by over-expansion and achieving a safe and comfortable user experience.

Description

Technical Field

[0001] This invention relates to the field of gastric capsule management system technology, specifically to a gastric capsule intelligent satiety management system and method. Background Technology

[0002] With the improvement of living standards and changes in dietary habits, obesity and related chronic diseases (such as diabetes and hypertension) have become important health issues of global concern. Scientific, safe and effective weight management has become a hot topic in the fields of medicine and health management. As a non-invasive satiety management tool, stomach-filling capsules achieve stomach capacity occupation through physical means, thereby reducing food intake. It is an innovative product that has received much attention in recent years.

[0003] The existing technology has the following shortcomings:

[0004] Traditional stomach-expanding capsules expand to a preset volume in the stomach, but cannot dynamically adjust according to the actual capacity or condition of the user's stomach. If the capsule volume is too large in actual use, it may put a great burden on the stomach, leading to stomach discomfort or even damage.

[0005] Based on this, the present invention proposes a smart satiety management system and method for stomach-enhancing capsules. Through an initial expansion volume and subsequent primary and secondary expansion adjustment mechanisms, the volume is adjusted according to the user's stomach capacity and real-time stomach status data to avoid the harm caused by excessive expansion and achieve a safe and comfortable user experience. Summary of the Invention

[0006] The purpose of this invention is to provide a smart satiety management system and method for stomach-enhancing capsules to address the shortcomings in the prior art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a method for intelligent satiety management using a stomach-soothing capsule, the method comprising the following steps:

[0008] The management system obtains gastric capsule information through the gastric capsule control platform. The gastric capsule information includes the initial expansion volume of the gastric capsule and the gastric capsule model.

[0009] After the stomach-enhancing capsule has been in the user's stomach for a period of time, the stomach-enhancing capsule's built-in sensor collects stomach state data, which is then used to analyze the intelligent adjustment rules and adjust the stomach-enhancing capsule's expansion volume.

[0010] After periodically acquiring gastric state data and gastric pressure, it is determined whether the expansion volume of the gastric capsule needs to be adjusted again, and a corresponding control strategy is generated based on the determination result.

[0011] In a preferred embodiment, gastric state data is collected by a sensor built into the gastric capsule. The gastric state data includes temperature index, gastric motility index, and pH index.

[0012] In a preferred embodiment, incorporating intragastric state data into intelligent regulation rule analysis includes the following steps:

[0013] The processing logic of the intelligent regulation rule is as follows: normalize the temperature index, gastric motility index and pH index so that the value range of the temperature index, gastric motility index and pH index is mapped to [0,1], obtain the normalized value of the temperature index, the normalized value of the gastric motility index and the normalized value of the pH index, and sum the normalized value of the temperature index, the normalized value of the gastric motility index and the normalized value of the pH index to obtain the gastric influencing factor.

[0014] In a preferred embodiment, adjusting the expansion volume of the gastric capsule once includes the following steps:

[0015] After obtaining the gastric influencing factors, the initial expansion volume of the gastric capsule is adjusted based on these factors. The adjustment algorithm expression is as follows: In the formula, volume one To adjust the expansion volume at one time, volume old The initial expansion volume is defined as 'effect', and the gastric influencing factor is defined as 'effect'. The management system remotely controls the gastric capsule via wireless technology to adjust the expansion volume once.

[0016] In a preferred embodiment, after periodically acquiring gastric state data and gastric pressure, it is determined whether a secondary adjustment of the gastric capsule's expansion volume is needed, including the following steps:

[0017] The gastric influencing factors and gastric pressure are acquired periodically. First, the amplitude of gastric pressure fluctuation is calculated. Then, the adjustment coefficient is obtained by combining the gastric influencing factors and the amplitude of gastric pressure fluctuation. The expression is: adjust=ω1×effect+ω2×pressure, where adjust is the adjustment coefficient, effect is the gastric influencing factor, pressure is the amplitude of gastric pressure fluctuation, ω1 and ω2 are the weights of the gastric influencing factors and the amplitude of gastric pressure fluctuation, respectively, and 0<ω1<ω2<1;

[0018] The obtained adjustment coefficient is compared with the preset adjustment threshold. The adjustment threshold is used to determine whether the expansion volume of the gastric capsule needs to be adjusted a second time. If the adjustment coefficient is less than the adjustment threshold, it is determined that the expansion volume of the gastric capsule does not need to be adjusted a second time. If the adjustment coefficient is greater than or equal to the adjustment threshold, it is determined that the expansion volume of the gastric capsule needs to be adjusted a second time.

[0019] In a preferred embodiment, a corresponding control strategy is generated based on the judgment result, including the following steps:

[0020] When it is determined that secondary adjustment of the gastric capsule's expansion volume is not required, the management system controls the gastric capsule to undergo primary expansion volume adjustment. When it is determined that secondary adjustment of the gastric capsule's expansion volume is required, the management system adjusts the gastric capsule's expansion volume secondaryly using an adjustment coefficient, the expression of which is:

[0021] volume two =volume one / ln(adjust+1), in the formula, volume one To adjust the expansion volume at one time, volume two The expansion volume is adjusted in a secondary manner, and adjust is the adjustment coefficient.

[0022] In a preferred embodiment, the calculation logic of the temperature index is as follows: during the monitoring period, the current temperature and the previous temperature in the stomach are obtained, the temperature difference is obtained by subtracting the previous temperature from the current temperature, the average temperature is calculated after obtaining the temperature at multiple time points during the monitoring period, the temperature rise rate is obtained by dividing the temperature difference by the monitoring duration, and the temperature rise rate is multiplied by the average temperature to obtain the temperature index.

[0023] The calculation logic of the gastric motility index is as follows: during the monitoring period, the gastric motility velocity at the current moment and the gastric motility velocity at the previous moment are obtained. The gastric motility velocity difference is obtained by subtracting the gastric motility velocity at the current moment from the gastric motility velocity at the previous moment. After obtaining the gastric motility velocity at multiple time points during the monitoring period, the average gastric motility velocity is calculated. The rate of decrease in gastric motility velocity is obtained by dividing the gastric motility velocity difference by the monitoring duration. The gastric motility index is obtained by multiplying the rate of decrease in gastric motility velocity by the average gastric motility velocity.

[0024] The calculation logic of the pH index is as follows: during the monitoring period, the current pH value and the previous pH value in the stomach are obtained. The pH difference is obtained by subtracting the current pH value from the previous pH value. After obtaining the pH values ​​at multiple time points during the monitoring period, the average pH value is calculated. The pH decrease rate is obtained by dividing the pH difference by the monitoring value. The pH decrease rate is multiplied by the average pH value to obtain the pH index.

[0025] A smart satiety management system for stomach-enhancing capsules includes an information acquisition module, an adjustment module, and a strategy generation module;

[0026] Information acquisition module: Acquires information about the gastric capsule through the gastric capsule control platform. The gastric capsule information includes the initial expansion volume of the gastric capsule and the gastric capsule model.

[0027] Adjustment module: After the stomach capsule has been in the user's stomach for a period of time, the stomach capsule's built-in sensor collects stomach state data, substitutes the stomach state data into the intelligent adjustment rules for analysis, and adjusts the stomach capsule's expansion volume once.

[0028] Strategy generation module: After periodically acquiring gastric state data and gastric pressure, it determines whether the gastric capsule needs secondary adjustment of its expansion volume and generates a corresponding control strategy based on the determination result.

[0029] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0030] This invention acquires information about the gastric capsule through a gastric capsule control platform. This information includes the initial expansion volume and model of the gastric capsule. After the gastric capsule has been in the user's stomach for a period of time, the built-in sensors collect gastric state data. This data is then analyzed using intelligent adjustment rules, and the gastric capsule's expansion volume is adjusted once. Gastric state data and pressure are periodically acquired to determine if a second adjustment of the expansion volume is needed, and a corresponding control strategy is generated based on the determination. The management system, through the initial expansion volume and subsequent primary and secondary expansion adjustment mechanisms, adjusts the volume according to the user's stomach capacity and real-time gastric state data, avoiding harm caused by over-expansion and achieving a safe and comfortable user experience. Attached Figure Description

[0031] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0032] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] Example 1: Please refer to Figure 1 As shown in this embodiment, a method for intelligent satiety management using a stomach-soothing capsule includes the following steps:

[0035] The management system obtains information about the gastric capsule through the gastric capsule control platform. This information includes the initial expansion volume and model of the gastric capsule (usually recommended by doctors or professionals based on the user's stomach capacity, health condition, and dietary habits). After the gastric capsule has been in the user's stomach for a period of time, the system collects gastric state data through the built-in sensors. This gastric state data is then analyzed using intelligent adjustment rules, and the gastric capsule's expansion volume is adjusted once. After periodically acquiring gastric state data and gastric pressure, the system determines whether a second adjustment of the gastric capsule's expansion volume is needed and generates a corresponding control strategy based on the determination result.

[0036] This application acquires information about the gastric capsule (Zhanwei Capsule) through a control platform. This information includes the initial expansion volume and model of the capsule. After the capsule has been in the user's stomach for a period of time, the capsule's built-in sensors collect intragastric state data. This data is then analyzed using intelligent adjustment rules, and the capsule's expansion volume is adjusted once. By periodically acquiring intragastric state data and pressure, the system determines whether a secondary adjustment of the expansion volume is necessary and generates a corresponding control strategy based on the result. The management system, through the initial expansion volume and subsequent primary and secondary expansion adjustment mechanisms, adjusts the volume according to the user's stomach capacity and real-time intragastric state data, avoiding harm caused by over-expansion and achieving a safe and comfortable user experience.

[0037] Example of an application scenario:

[0038] User Background: Ms. Zhang is a middle-aged woman who is trying to lose weight. She is overweight and has a long history of binge eating. She has tried various weight loss methods, but has not achieved the desired results due to difficulty controlling her diet.

[0039] Application of the program: Under the guidance of her doctor, Ms. Zhang chose Zhanwei capsules as an auxiliary tool for weight loss. Based on her stomach capacity, health condition, and dietary habits, the doctor recommended a suitable capsule model and set the initial expansion volume.

[0040] After the capsule enters Ms. Zhang's stomach, built-in sensors begin monitoring her stomach's condition in real time, including pressure, temperature, and pH levels. As the capsule gradually expands, the management system analyzes the stomach environment based on the sensor data and adjusts the capsule's volume according to intelligent rules. If the stomach pressure is too high or the temperature rises too rapidly within a certain period, the system automatically reduces the capsule's expansion volume to avoid stomach discomfort or damage. If Ms. Zhang's stomach environment remains unstable, the system performs a second adjustment to ensure the capsule's volume remains within a safe and comfortable range, preventing over-expansion. Throughout the process, the management system dynamically adjusts based on Ms. Zhang's stomach capacity and real-time data, helping her maintain a long-term feeling of fullness, reducing unnecessary food intake, and thus achieving her weight loss goals.

[0041] User background: Mr. Li has just undergone stomach surgery (such as gastric bypass surgery) and needs to adopt a gentler dietary control method to help his stomach recover and avoid overeating to prevent discomfort.

[0042] Application: The doctor recommended that Mr. Li use stomach-soothing capsules to control his food intake and ensure that he did not experience excessive stomach pressure or discomfort due to overeating during the recovery period. Mr. Li's initial expansion volume was set by the doctor based on his post-operative stomach capacity, ensuring that the expansion volume was not too large to avoid unnecessary pressure on the stomach wall. The management system monitors Mr. Li's stomach condition through built-in sensors and adjusts the capsule expansion volume in real time. If the system detects excessively high stomach pressure, possibly due to insufficient stomach capacity or over-expansion, it will automatically reduce the capsule volume to ensure stomach comfort and safety. Through this dynamic adjustment, Mr. Li can experience a longer-lasting feeling of fullness, avoid overeating, and prevent stomach discomfort or other health risks caused by over-expansion.

[0043] User Background: Mr. Wang suffers from gastroesophageal reflux disease (GERD) for a long time. Excessive stomach acid and bloating often make him feel uncomfortable. His doctor recommended that he use stomach-soothing capsules to help reduce his food intake and ease the burden on his stomach.

[0044] Application: Mr. Wang used stomach-swelling capsules to regulate his food intake, as advised by his doctor. The initial expansion volume of the capsules was set within a range suitable for Mr. Wang's stomach health, ensuring that excessive expansion would not cause excessive stomach pressure. During use, the management system monitors real-time stomach data, such as stomach temperature, stomach acid concentration, and pressure, through built-in sensors. If excessive stomach acid concentration or increased stomach pressure is detected, the system immediately adjusts the capsule expansion volume, reducing its size to alleviate the burden on the stomach and prevent discomfort. Throughout Mr. Wang's use, the system continuously adjusts the capsule expansion volume based on real-time data, avoiding excessive stomach expansion, ensuring stomach health, reducing symptoms of chronic gastritis, and improving comfort.

[0045] User Background: Mr. Liu is an office worker who sits for long periods at work with little physical activity, making him prone to overeating, which causes bloating and stomach discomfort. Mr. Liu hopes to use Zhanwei capsules to help control his food intake and avoid overeating.

[0046] Application: Mr. Liu began using the gastric capsules on his doctor's advice. The initial expansion volume was set based on Mr. Liu's weight and stomach capacity to ensure that excessive expansion would not cause discomfort. The management system monitors stomach conditions (such as pressure, temperature, and pH) to determine the stomach's state. If Mr. Liu experienced increased stomach pressure due to prolonged sitting, the system would automatically adjust the capsule's expansion volume to reduce pressure and ensure that the stomach is not subjected to excessive compression. Throughout the process, the capsules dynamically adjust their expansion volume based on real-time data, helping Mr. Liu effectively control his food intake, reduce stomach discomfort, improve eating habits, and lose weight.

[0047] The above solution is applicable to users in various scenarios. By monitoring the state inside the stomach in real time and adjusting the expansion volume of the gastric capsule according to the individual user's situation, it can help users achieve safer and more comfortable satiety management, avoid discomfort or health risks caused by excessive expansion, and help maintain long-term dietary control. It is suitable for various scenarios such as weight loss, postoperative recovery, and chronic gastritis management.

[0048] Example 2: The management system obtains gastric capsule information through the gastric capsule control platform. This information includes the initial expansion volume and model number of the gastric capsule (usually recommended by doctors or professionals based on the user's stomach capacity, health condition, and dietary habits). The process includes the following steps:

[0049] The management system obtains information about the stomach-soothing capsules, including initial expansion volume and capsule type, through the stomach-soothing capsule control platform. This information is typically recommended by doctors or professionals based on the user's stomach capacity, health condition, and dietary habits to ensure the selection of the appropriate capsule type and initial expansion volume for effective satiety control and safety.

[0050] Suppose a user, A, has a small stomach capacity and is on a weight loss program. Their doctor recommends capsules suitable for a small stomach and suggests an appropriate initial expansion volume based on their health condition. The management system generates corresponding capsule configuration information based on this information. The management system obtains relevant information about the stomach-enlarging capsules through the stomach-enlarging capsule control platform. This includes: the initial expansion volume of the stomach-enlarging capsules; the capsule model (doctors or professionals will recommend suitable models based on different user needs to ensure expansion effectiveness and safety); and the user's stomach capacity, health condition, and dietary habits, which help determine the appropriate initial expansion volume.

[0051] We provide customized capsule models and expansion volumes based on users' stomach capacity, health conditions, and other information to ensure that each user's needs are met.

[0052] Information on Zhanwei capsules is shown in Table 1:

[0053]

[0054] Table 1

[0055] As shown in Table 1, the system obtains data such as the user's stomach capacity, health status, and dietary habits through the user's health record or information provided by the doctor. Based on this information, the doctor or professional selects the appropriate capsule model and initial expansion volume, and records it on the control platform. The gastric capsule control platform receives and saves the capsule model and initial expansion volume provided by the user and doctor. This data can be used for subsequent adjustment operations and monitoring.

[0056] After the stomach-soothing capsule has been in the user's stomach for a period of time, the capsule's built-in sensors collect data on the stomach's internal state, including the following steps:

[0057] The gastric capsule collects gastric state data through its built-in sensors, including temperature index, gastric motility index, and pH index.

[0058] The calculation logic of the temperature index is as follows: during the monitoring period, the current temperature and the previous temperature in the stomach are obtained. The temperature difference is obtained by subtracting the previous temperature from the current temperature. After obtaining the temperature at multiple time points during the monitoring period, the average temperature is calculated. The temperature rise rate is obtained by dividing the temperature difference by the monitoring duration. The temperature rise rate is multiplied by the average temperature to obtain the temperature index.

[0059] The calculation logic of the gastric motility index is as follows: during the monitoring period, the gastric motility velocity at the current moment and the gastric motility velocity at the previous moment are obtained. The gastric motility velocity difference is obtained by subtracting the gastric motility velocity at the current moment from the gastric motility velocity at the previous moment. After obtaining the gastric motility velocity at multiple time points during the monitoring period, the average gastric motility velocity is calculated. The rate of decrease in gastric motility velocity is obtained by dividing the gastric motility velocity difference by the monitoring duration. The gastric motility index is obtained by multiplying the rate of decrease in gastric motility velocity by the average gastric motility velocity.

[0060] The calculation logic for pH index is as follows: during the monitoring period, obtain the current pH value and the previous pH value in the stomach. Subtract the current pH value from the previous pH value to obtain the pH difference. After obtaining the pH values ​​at multiple time points during the monitoring period, calculate the average pH value. Divide the pH difference by the monitoring value to obtain the pH decrease rate. Multiply the pH decrease rate by the average pH value to obtain the pH index.

[0061] The values ​​of temperature index, gastric motility index, and pH index are related to the volume occupied by the gastric capsule during expansion. They primarily reflect changes in the gastric intragastric environment, which may be caused by changes in the volume occupied by the gastric capsule. The following are possible relationships between each rate and the capsule's expansion volume:

[0062] 1) Relationship between temperature index and the volume of the capsule expanding in the stomach: When the volume of the capsule expanding in the stomach increases, the contact area between the capsule and the stomach wall increases, which may trigger more friction or heat release, leading to an increase in stomach temperature. An overly expanded capsule may affect the circulation of gastric juice or the physical pressure on the stomach wall, thus causing a rise in stomach temperature. A high temperature index means that the capsule's expansion volume is too large, which may increase pressure and friction within the stomach, thereby accelerating the temperature rise. If the temperature index is too high, it indicates that the capsule's expansion volume may be too large, and it is necessary to reduce the expansion volume to slow down the temperature increase and avoid stomach discomfort.

[0063] 2) Relationship between gastric motility index and the volume of the gastric capsule: When the gastric capsule expands, the pressure on the stomach wall increases, which may lead to a decrease in gastric motility. When the expansion volume is too large, normal gastric peristalsis is suppressed, and the emptying rate of gastric juice and food may slow down, resulting in a decrease in gastric motility. A high gastric motility index indicates impaired gastric motility and poor gastric emptying ability, which is usually caused by excessive expansion of the gastric capsule. If the gastric motility index is high, the capsule expansion volume should be reduced to avoid prolonged retention in the stomach and causing discomfort.

[0064] 3) Relationship between pH index and the expansion volume of gastric capsules: Gastric capsules with a large expansion volume may increase gastric acid secretion or affect gastric juice circulation, leading to excessive gastric acid and thus exacerbating the decrease in gastric pH. Excessive expansion volume can lead to increased gastric acid concentration, potentially worsening excessive gastric acid. A high pH index indicates excessive acidity in the stomach, usually due to increased gastric pressure caused by excessive expansion volume or increased gastric juice secretion. If the pH index is high, the expansion volume needs to be reduced to avoid over-stimulating the stomach wall and increasing gastric acid concentration, thereby slowing the rate of pH decrease.

[0065] The process of incorporating intragastric state data into intelligent regulatory rule analysis includes the following steps:

[0066] The temperature index, gastric motility index, and pH index were normalized to map their values ​​to the range of [0,1]. The normalized values ​​of the temperature index, gastric motility index, and pH index were obtained. The gastric influencing factors were obtained by subtracting the normalized values ​​of the gastric motility index and pH index from the normalized values ​​of the temperature index.

[0067] The process of adjusting the expansion volume of the gastric capsule includes the following steps:

[0068] A higher value for the gastric influencing factor indicates a worse overall condition in the user's stomach, requiring a reduction in the expansion volume of the gastric capsule. After obtaining the gastric influencing factor, the initial expansion volume of the gastric capsule is adjusted based on this factor. The adjustment algorithm expression is as follows:

[0069] In the formula, volume one To adjust the expansion volume at one time, volume old The initial expansion volume is defined as the gastric influencing factor. The management system remotely controls the gastric capsule to adjust the expansion volume once via wireless technology (such as RFID or NFC technology; the capsule has a built-in low-power receiver that can receive wireless signals, such as radio frequency identification (RFID) or near field communication (NFC) signals).

[0070] After periodically acquiring data on the gastric state and pressure, it is determined whether a secondary adjustment of the gastric capsule's expansion volume is necessary, including the following steps:

[0071] The gastric influencing factors and gastric pressure are acquired periodically. First, the amplitude of gastric pressure fluctuation is calculated. Then, the adjustment coefficient is obtained by combining the gastric influencing factors and the amplitude of gastric pressure fluctuation. The expression is: adjust=ω1×effect+ω2×pressure, where adjust is the adjustment coefficient, effect is the gastric influencing factor, pressure is the amplitude of gastric pressure fluctuation, ω1 and ω2 are the weights of the gastric influencing factors and the amplitude of gastric pressure fluctuation, respectively, and 0<ω1<ω2<1;

[0072] The larger the adjustment coefficient, the more necessary it is to adjust the expansion volume of the gastric capsule. The obtained adjustment coefficient is compared with the preset adjustment threshold. The adjustment threshold is used to determine whether the expansion volume of the gastric capsule needs to be adjusted. If the adjustment coefficient is less than the adjustment threshold, it is determined that the expansion volume of the gastric capsule does not need to be adjusted. If the adjustment coefficient is greater than or equal to the adjustment threshold, it is determined that the expansion volume of the gastric capsule needs to be adjusted.

[0073] The calculation logic for the amplitude of intragastric pressure fluctuation is as follows: After obtaining intragastric pressure values ​​at multiple time points, a set of intragastric pressure values ​​at multiple time points is established. The average pressure value and the standard deviation of the pressure values ​​in the set are calculated, and the amplitude of intragastric pressure fluctuation is calculated. The expression is: In the formula, μ is the average pressure value and σ is the standard deviation of the pressure value. The larger the value of the pressure fluctuation in the stomach, the more the pressure in the stomach is rising during the monitoring period, and the more necessary it is to reduce the expansion volume of the gastric capsule.

[0074] Based on the judgment result, a corresponding control strategy is generated, including the following steps:

[0075] When it is determined that secondary adjustment of the gastric capsule's expansion volume is not required, the management system controls the gastric capsule to undergo primary expansion volume adjustment. When it is determined that secondary adjustment of the gastric capsule's expansion volume is required, the management system adjusts the gastric capsule's expansion volume secondaryly using an adjustment coefficient, the expression of which is:

[0076] volume two =volume one / ln(adjust+1), in the formula, volume one To adjust the expansion volume at one time, volume two The expansion volume is adjusted in a secondary manner, and adjust is the adjustment coefficient.

[0077] Example 3: The intelligent satiety management system for stomach capsules described in this example includes an information acquisition module, an adjustment module, and a strategy generation module;

[0078] Information Acquisition Module: Acquires information about the gastric capsule through the gastric capsule control platform. This information includes the initial expansion volume and model of the gastric capsule (usually, doctors or professionals will recommend a suitable capsule model and initial expansion volume based on the user's stomach capacity, health condition, and dietary habits). The gastric capsule information is then sent to the adjustment module.

[0079] Adjustment module: After the stomach capsule has been in the user's stomach for a period of time, the stomach capsule's built-in sensor collects stomach state data, substitutes the stomach state data into the intelligent adjustment rule analysis, and adjusts the stomach capsule's expansion volume once. The expansion volume after the first adjustment is sent to the strategy generation module.

[0080] Strategy generation module: After periodically acquiring gastric state data and gastric pressure, it determines whether the gastric capsule needs secondary adjustment of its expansion volume and generates a corresponding control strategy based on the determination result.

[0081] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0082] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0083] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0084] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0085] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A smart satiety management system for stomach-enhancing capsules, characterized in that: It includes an information acquisition module, an adjustment module, and a strategy generation module; Information acquisition module: Acquires information about the gastric capsule through the gastric capsule control platform. The gastric capsule information includes the initial expansion volume of the gastric capsule and the gastric capsule model. Adjustment module: After the stomach capsule has been in the user's stomach for a period of time, the stomach capsule's built-in sensor collects stomach state data, substitutes the stomach state data into the intelligent adjustment rules for analysis, and adjusts the stomach capsule's expansion volume once. Strategy generation module: After periodically acquiring gastric state data and gastric pressure, it determines whether the expansion volume of the gastric capsule needs to be adjusted again, and generates a corresponding control strategy based on the judgment result. The processing logic of the intelligent regulation rule is as follows: normalize the temperature index, gastric motility index and pH index so that the value range of the temperature index, gastric motility index and pH index is mapped to [0,1], obtain the normalized value of the temperature index, the normalized value of the gastric motility index and the normalized value of the pH index, and sum the normalized value of the temperature index, the normalized value of the gastric motility index and the normalized value of the pH index to obtain the gastric influencing factor. The strategy generation module periodically acquires intragastric influencing factors and intragastric pressure. First, it calculates the amplitude of intragastric pressure fluctuations. Then, it combines the intragastric influencing factors and the amplitude of intragastric pressure fluctuations to calculate the adjustment coefficient, expressed as: In the formula, For adjustment coefficients, Influencing factors in the stomach, This represents the amplitude of gastric pressure fluctuations. , These are the weights of influencing factors within the stomach and the amplitude of fluctuations in gastric pressure, respectively. ; The obtained adjustment coefficient is compared with the preset adjustment threshold. The adjustment threshold is used to determine whether the expansion volume of the gastric capsule needs to be adjusted a second time. If the adjustment coefficient is less than the adjustment threshold, it is determined that the expansion volume of the gastric capsule does not need to be adjusted a second time. If the adjustment coefficient is greater than or equal to the adjustment threshold, it is determined that the expansion volume of the gastric capsule needs to be adjusted a second time. The strategy generation module generates a corresponding control strategy based on the judgment result: when it is determined that secondary adjustment of the gastric capsule's expansion volume is not required, the management system controls the gastric capsule to undergo primary expansion volume adjustment; when it is determined that secondary adjustment of the gastric capsule's expansion volume is required, the management system adjusts the gastric capsule's expansion volume secondaryly using an adjustment coefficient, the expression of which is: In the formula, To adjust the expansion volume once, This is for secondary adjustment of expansion volume.

2. The intelligent satiety management system for stomach-enhancing capsules according to claim 1, characterized in that: The regulation module collects gastric state data through the built-in sensor of the gastric capsule. The gastric state data includes temperature index, gastric motility index and pH index.

3. The intelligent satiety management system for stomach-enhancing capsules according to claim 2, characterized in that: After acquiring the influencing factors within the stomach, the adjustment module adjusts the initial expansion volume of the gastric capsule based on these factors. The adjustment algorithm expression is as follows: In the formula, To adjust the expansion volume once, This represents the initial expansion volume. As a factor affecting the stomach, the management system remotely controls the gastric capsule via wireless technology to adjust its expansion volume once.

4. The intelligent satiety management system for stomach-enhancing capsules according to claim 1, characterized in that: The calculation logic of the temperature index is as follows: during the monitoring period, the current temperature and the previous temperature in the stomach are obtained. The temperature difference is obtained by subtracting the previous temperature from the current temperature. After obtaining the temperature at multiple time points during the monitoring period, the average temperature is calculated. The temperature rise rate is obtained by dividing the temperature difference by the monitoring duration. The temperature rise rate is multiplied by the average temperature to obtain the temperature index. The calculation logic of the gastric motility index is as follows: during the monitoring period, the gastric motility velocity at the current moment and the gastric motility velocity at the previous moment are obtained. The gastric motility velocity difference is obtained by subtracting the gastric motility velocity at the current moment from the gastric motility velocity at the previous moment. After obtaining the gastric motility velocity at multiple time points during the monitoring period, the average gastric motility velocity is calculated. The rate of decrease in gastric motility velocity is obtained by dividing the gastric motility velocity difference by the monitoring duration. The gastric motility index is obtained by multiplying the rate of decrease in gastric motility velocity by the average gastric motility velocity. The calculation logic of the pH index is as follows: during the monitoring period, the current pH value and the previous pH value in the stomach are obtained. The pH difference is obtained by subtracting the current pH value from the previous pH value. After obtaining the pH values ​​at multiple time points during the monitoring period, the average pH value is calculated. The pH decrease rate is obtained by dividing the pH difference by the monitoring value. The pH decrease rate is multiplied by the average pH value to obtain the pH index.

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