Human health monitoring system
By designing a human health monitoring system that includes sensing module, acquisition module, identification module, pre-meal custom module and post-meal custom unit, the shortcomings of existing health management methods and equipment in pre-meal and post-meal health management, achieving more accurate health advice and better health control effects.
Patent Information
- Application Number
- CN202510228767.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-28
- Publication Date
- 2025-06-20
AI Technical Summary
The existing health management methods and equipment lack personalized and precise health intervention, especially in terms of health management before and after meals.
A human health monitoring system is designed, including a sensing module, acquiring module, an identification module, a pre-meal custom module and a post-meal custom unit. By monitoring multi-dimensional health data in real time, we can identify whether the user is in a pre- or post-meal state, and provide personalized health advice and exercise plans based on different states.
It has achieved flexible switching of health needs before and after meals, provided more accurate health advice, and improved health control effects, especially in blood sugar control, weight management and nutritional intake.
Smart Images
Figure CN120167919A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of monitoring systems, and particularly to a human health monitoring system. Background Art
[0002] Changes in modern social lifestyles, especially factors such as irregular diet, lack of exercise, and work pressure, have led to a high incidence of chronic diseases. How to conduct effective health monitoring and management has become an important issue globally. Although existing health management methods and devices have to some extent helped users track health data, most systems lack personalized and precise health interventions, especially in the health management before and after meals, and there are still many deficiencies. Therefore, a human health monitoring system is needed to solve the above problems. Summary of the Invention
[0003] The purpose of the present invention is to solve the shortcomings in the prior art. Changes in modern social lifestyles, especially factors such as irregular diet, lack of exercise, and work pressure, have led to a high incidence of chronic diseases. How to conduct effective health monitoring and management has become an important issue globally. Although existing health management methods and devices have to some extent helped users track health data, most systems lack personalized and precise health interventions, especially in the health management before and after meals, and there are still many deficiencies. Thus, a human health monitoring system is proposed.
[0004] To achieve the above purpose, the present invention adopts the following technical solutions:
[0005] A human health monitoring system includes a sensing module for acquiring human body signs. The sensing module is electrically connected to an acquisition module for acquiring and organizing the data collected by the sensing module. The acquisition module is electrically connected to an identification module for identifying whether the human body is before or after a meal. The identification module is electrically connected to a post - meal customization module for providing suggestions after a meal, and the identification module is also electrically connected to a pre - meal customization unit for providing suggestions before a meal.
[0006] The present invention is further configured such that: the sensing module is a sensor assembly, including a heart rate sensor, a blood oxygen sensor, a blood pressure sensor, a body temperature sensor, a blood glucose sensor, and a motion sensor. The acquisition module is electrically connected to each sensor, acquires data from the heart rate sensor, blood oxygen sensor, blood pressure sensor, body temperature sensor, blood glucose sensor, and motion sensor by category, and performs data sorting and statistics based on the real-time data of different sensors, named "statistical data". The statistical data includes heart rate, blood oxygen level, blood glucose concentration, blood pressure, body temperature, and exercise amount information. The recognition module analyzes these statistical data to identify whether the detector is in a pre-meal or post-meal state, and according to this state, corresponding suggestions are provided by the pre-meal customization module or the post-meal customization module respectively.
[0007] The present invention is further configured such that: the pre-meal customization module includes a data module for receiving the statistical data of the acquisition module. The data module is electrically connected to an analysis module for analyzing the statistical data. The analysis module is electrically connected to an opinion generation module for generating suggestions according to the analysis result. The opinion generation module is electrically connected to a data transmission module for data transmission.
[0008] The present invention is further configured such that: the data module receives the statistical data in the acquisition module. The analysis module analyzes the statistical data received in the data module according to the 15 - 30 minutes before the set meal time, analyzes the required intake of the detector according to the statistical data, and the opinion generation module generates corresponding suggestion terms, creating a suggestion term format with prohibited items and suggestion items. The data transmission module transmits the suggestion terms provided by the opinion generation module to the user device.
[0009] The present invention is further configured such that: the post-meal customization unit includes a receiving module for receiving the statistical data in the acquired data. The receiving module is electrically connected to a motion simulation module for simulating exercise consumption. The motion simulation module is electrically connected to a detection module for detecting whether the simulation data of the motion simulation module will cause other damages to the detector. The detection module is electrically connected to a post-meal reminder module.
[0010] The present invention is further configured such that: the receiving module receives the statistical data in the acquisition module. The motion simulation module performs motion simulation according to the statistical data, simulates the exercise consumption to reach the normal numerical level, and formulates an exercise plan. The detection module detects whether there will be other damage phenomena to the detector during the motion simulation process. If damage is detected, adjustment suggestions are provided.
[0011] The present invention is further configured such that if the detection module detects that the exercise plan will cause other damages to the detector, the exercise simulation module will re - simulate and formulate an exercise plan; if the detection module detects that the exercise plan will not cause other damages to the detector, the post - meal reminder module will issue a reminder of the exercise plan.
[0012] The operation of this system includes the following steps:
[0013] S1. The sensing module collects and statistically processes data, and the system identifies whether the user is in a pre - meal or post - meal state;
[0014] S2. Based on the user's health data, the system provides pre - meal health suggestions and post - meal exercise plans, and adjusts the plans according to the feedback.
[0015] In the step S1:
[0016] 1). The sensing module real - time monitors the human health data through devices such as a heart rate sensor, a blood oxygen sensor, a blood pressure sensor, a body temperature sensor, a blood glucose sensor, and a motion sensor;
[0017] 2). The acquisition module receives the data from each sensor, sorts and statistically processes these data by category, generates a data set named statistical data;
[0018] 3). The recognition module analyzes the statistical data to determine whether the user is currently in a pre - meal state or a post - meal state;
[0019] 4). If in the pre - meal state, the system will enable the pre - meal customization module; if in the post - meal state, the system will enable the post - meal customization module.
[0020] In the step S2:
[0021] 1). The pre - meal customization unit is started;
[0022] 2). The data module receives the statistical data. The analysis module analyzes the user's health status based on the data 15 - 30 minutes before the set meal time and calculates the nutritional components to be ingested before the meal. The opinion generation module generates pre - meal health suggestions according to the analysis results. The suggestions include "recommended items" and "prohibited items". The data transmission module displays or sends the generated pre - meal health suggestions to the user through the user device;
[0023] 3). The post - meal customization unit is started;
[0024] 4) The receiving module receives the post - meal statistical data. The exercise simulation module simulates the appropriate amount of exercise and calorie consumption based on the statistical data and formulates an exercise plan. The detection module detects the exercise plan to evaluate whether there are potential risks to the user's health. If a damage risk is detected, the detection module issues an adjustment suggestion, and the exercise simulation module re - simulates and adjusts the exercise plan. If there is no risk, the post - meal reminder module issues a reminder, suggesting that the user follow the exercise plan for exercise.
[0025] The beneficial effects of the present invention are as follows:
[0026] The present invention determines whether it is in a pre - meal or post - meal state through the recognition module and dynamically switches the health management plan according to different states. Since the health needs before and after meals are different, flexible switching can more accurately provide customized health advice for users, improving the health control effect before and after meals, especially being more precise in aspects such as blood sugar control, weight management, and nutritional intake. The sensing module collects multi - dimensional data in real - time, and through comprehensive analysis, it can capture a more comprehensive health status. The pre - meal customization unit analyzes the real - time health data of the user and generates personalized pre - meal health advice, which not only helps the detector control the nutritional intake but also provides customized diet guidance for specific health problems. The post - meal customization unit provides suitable exercise advice for users by simulating exercise consumption, dynamically adjusts the exercise intensity in combination with real - time health data. At the same time, there may be a risk of damage to the user in the simulated exercise plan, and the simulated exercise module will automatically adjust the exercise plan. By simulating exercise consumption, a reasonable post - meal exercise plan can be designed for users to avoid health risks caused by excessive exercise or inappropriate exercise types. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 It is a schematic system flow diagram of a human health monitoring system in the present invention;
[0028] Figure 2 It is a schematic system flow diagram of the pre - meal customization unit of a human health monitoring system in the present invention;
[0029] Figure 3 It is a schematic system flow diagram of the post - meal customization unit of a human health monitoring system in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0030] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying 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.
[0031] Such as Figures 1-3As shown in the figure, a human health monitoring system is characterized by comprising a sensing module for acquiring human body signs. The sensing module is electrically connected to an acquisition module for acquiring the data collected by the sensing module and sorting out the data. The acquisition module is electrically connected to an identification module for identifying whether the human body is in the pre-meal or post-meal state. The identification module is electrically connected to a post-meal customization module for providing suggestions after meals, and the identification module is electrically connected to a pre-meal customization unit for providing suggestions before meals;
[0032] The sensing module is a sensor aggregate, including a heart rate sensor, a blood oxygen sensor, a blood pressure sensor, a body temperature sensor, a blood glucose sensor, and a motion sensor. The acquisition module is electrically connected to each sensor, acquires the data of the heart rate sensor, blood oxygen sensor, blood pressure sensor, body temperature sensor, blood glucose sensor, and motion sensor by category, and sorts out and statistically analyzes the real-time data of different sensors, naming it "statistical data". The statistical data includes heart rate, blood oxygen level, blood glucose concentration, blood pressure, body temperature, and exercise amount information. The identification module analyzes these statistical data to identify whether the detector is in the pre-meal or post-meal state, and according to this state, corresponding suggestions are provided by the pre-meal customization module or the post-meal customization module respectively;
[0033] Through the above embodiments, it is judged whether it is in the pre-meal or post-meal state through the identification module, and the health management plan is dynamically switched according to different states. The health needs before and after meals are different, so flexible switching can provide more accurate customized health suggestions for users, improve the health control effect before and after meals, especially in aspects such as blood glucose control, weight management, and nutritional intake, which are more accurate. The sensing module collects multi-dimensional data in real time, and through comprehensive analysis, a more comprehensive health status can be captured;
[0034] The pre-meal customization module includes a data module for receiving the statistical data of the acquisition module. The data module is electrically connected to an analysis module for analyzing the statistical data. The analysis module is electrically connected to an opinion generation module for generating suggestions according to the analysis results. The opinion generation module is electrically connected to a data transmission module for data transmission;
[0035] The data module receives the statistical data in the acquisition module. The analysis module analyzes the statistical data received in the data module according to 15 minutes before the set meal time, analyzes the required intake of the detector according to the statistical data, and the opinion generation module generates corresponding suggestion terms, creates a suggestion term format with prohibited items and suggestion items, and the data transmission module transmits the suggestion terms provided by the opinion generation module to the user device;
[0036] Through the above embodiments, the pre-meal customization unit analyzes according to the real-time health data of the user and generates personalized pre-meal health suggestions, which not only helps the detector control the nutritional intake, but also provides customized diet guidance for specific health problems;
[0037] The post - meal customization unit includes a receiving module for receiving statistical data in the acquired data. The receiving module is electrically connected to a motion simulation module for simulating consumption through exercise. The motion simulation module is electrically connected to a detection module for detecting whether the simulated data of the motion simulation module will cause other damages to the detector. The detection module is electrically connected to a post - meal reminder module;
[0038] The receiving module receives the statistical data in the acquisition module. The motion simulation module conducts motion simulation according to the statistical data, simulates the exercise consumption to reach the normal numerical level, and formulates an exercise plan. The detection module detects whether there will be other damage phenomena to the detector during the motion simulation process. If damage is detected, adjustment suggestions are provided;
[0039] If the detection module detects that the exercise plan will cause other damages to the detector, the motion simulation module re - simulates and formulates an exercise plan. If the detection module detects that the exercise plan will not cause other damages to the detector, the post - meal reminder module issues a reminder of the exercise plan;
[0040] Through the above embodiments, the post - meal customization unit provides suitable exercise suggestions for users by simulating exercise consumption, dynamically adjusts the exercise intensity in combination with real - time health data. At the same time, there is a risk that the simulated exercise plan may cause damage to users. The motion simulation module will automatically adjust the exercise plan. By simulating exercise consumption, a reasonable post - meal exercise plan can be designed for users to avoid health risks brought by excessive exercise or inappropriate exercise types;
[0041] The operation of this system includes the following steps:
[0042] S1. The data acquisition and statistical processing by the sensing module, and the system identifies whether the user is in a pre - meal or post - meal state;
[0043] S2. Based on the user's health data, the system provides pre - meal health suggestions and post - meal exercise plans, and adjusts the plans according to the feedback.
[0044] In step S1:
[0045] 1). The sensing module real - time monitors the human health data through devices such as a heart rate sensor, a blood oxygen sensor, a blood pressure sensor, a body temperature sensor, a blood glucose sensor, and a motion sensor;
[0046] 2). The acquisition module receives the data from each sensor, sorts and statistically processes these data by category, generates a data set named statistical data;
[0047] 3). The identification module analyzes the statistical data to judge whether the user is currently in a pre - meal state or a post - meal state;
[0048] 4) If in a pre - meal state, the system will enable the pre - meal customization module; if in a post - meal state, the system will enable the post - meal customization module.
[0049] In step S2:
[0050] 1) The pre - meal customization unit starts.
[0051] 2) The data module receives statistical data. The analysis module analyzes the user's health status based on the data 15 minutes before the set meal time and calculates the nutritional components to be ingested before the meal. The opinion generation module generates pre - meal health suggestions according to the analysis results. The suggestions include "recommended items" and "prohibited items". The data transmission module displays or sends the generated pre - meal health suggestions to the user through the user device.
[0052] 3) The post - meal customization unit starts.
[0053] 4) The receiving module receives post - meal statistical data. The exercise simulation module simulates a suitable amount of exercise and consumption based on the statistical data and formulates an exercise plan. The detection module detects the exercise plan to evaluate whether there are potential risks to the user's health. If a damage risk is detected, the detection module will issue an adjustment suggestion, and the exercise simulation module will re - simulate and adjust the exercise plan. If there is no risk, the post - meal reminder module will issue a reminder, suggesting that the user follow the exercise plan for exercise.
[0054] Working principle: When the present invention is in use, the sensing module real - time monitors human health data through devices such as a heart rate sensor, a blood oxygen sensor, a blood pressure sensor, a body temperature sensor, a blood glucose sensor, and an exercise sensor. The acquisition module receives the data from each sensor, sorts and statistically analyzes these data by category to generate a data set named statistical data. The identification module analyzes the statistical data to determine whether the user is currently in a pre - meal state or a post - meal state. If in a pre - meal state, the system will enable the pre - meal customization module; if in a post - meal state, the system will enable the post - meal customization module.
[0055] The pre - meal customization unit starts: The data module receives statistical data. The analysis module analyzes the user's health status based on the data 15 minutes before the set meal time and calculates the nutritional components to be ingested before the meal. The opinion generation module generates pre - meal health suggestions according to the analysis results. The suggestions include "recommended items" and "prohibited items". The data transmission module displays or sends the generated pre - meal health suggestions to the user through the user device.
[0056] Pre-meal customization unit startup: The receiving module receives post-meal statistical data. The exercise simulation module simulates a suitable amount of exercise and consumption based on the statistical data and formulates an exercise plan. The detection module detects the exercise plan and evaluates whether there are potential risks to the user's health. If a damage risk is detected, the detection module will issue an adjustment suggestion, and the exercise simulation module will re-simulate and adjust the exercise plan. If there is no risk, the post-meal reminder module will issue a reminder, suggesting that the user exercise according to the exercise plan.
[0057] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.
Claims
1. A human health monitoring system, characterized in that: It includes a sensor module for acquiring human body signs, the sensor module is electrically connected to an acquisition module for acquiring data collected by the sensor module and arranging the data, the acquisition module is electrically connected to a post-meal customization module for identifying whether the human body is before or after a meal, the identification module is electrically connected to a post-meal customization module for providing suggestions after a meal, and the identification module is electrically connected to a pre-meal customization unit for providing suggestions before a meal.
2. A human health monitoring system according to claim 1, characterized in that: The sensing module is a sensor collection, including a heart rate sensor, a blood oxygen sensor, a blood pressure sensor, a body temperature sensor, a blood glucose sensor and a motion sensor. The acquisition module is electrically connected to each sensor, and acquires data of the heart rate sensor, the blood oxygen sensor, the blood pressure sensor, the body temperature sensor, the blood glucose sensor and the motion sensor by category, and organizes and compiles data based on the real-time data of different sensors, which are named "statistical data". The statistical data include heart rate, blood oxygen level, blood glucose concentration, blood pressure, body temperature and exercise information. The identification module identifies whether the tester is in a pre-meal or post-meal state by analyzing these statistical data, and provides corresponding suggestions based on this state, respectively, by the pre-meal customization module or the post-meal customization module.
3. A human health monitoring system according to claim 1, characterized in that: The pre-meal customization module includes a data module for receiving statistical data of the acquisition module, the data module is electrically connected to an analysis module for analyzing the statistical data, the analysis module is electrically connected to an opinion generation module for generating suggestions based on the analysis results, and the opinion generation module is electrically connected to a data transmission module for data transmission.
4. A human health monitoring system according to claim 3, characterized in that: The data module receives the statistical data in the acquisition module, the analysis module analyzes the statistical data received in the data module according to the set 15-30 minutes before the meal time, and the required intake of the tester is analyzed based on the statistical data. The opinion generation module generates corresponding recommended terms, and creates a recommended term format with prohibited items and recommended items. The data transmission module transmits the recommended terms provided by the opinion generation module to the user device.
5. A human health monitoring system according to claim 1, characterized in that: The post-meal customization unit includes a receiving module for receiving statistical data in the acquired data, the receiving module is electrically connected to a motion simulation module for motion simulation consumption, the motion simulation module is electrically connected to a detection module for detecting whether the simulation data of the motion simulation module will cause other damages to the detector, and the detection module is electrically connected to a post-meal reminder module.
6. A human health monitoring system according to claim 5, characterized in that: The receiving module receives the statistical data in the acquisition module, the motion simulation module performs motion simulation based on the statistical data, simulates the motion consumption to reach a normal numerical level, and formulates a motion plan, and the detection module detects whether other damage to the tester will occur during the motion simulation process, and provides adjustment suggestions if damage is detected.
7. A human health monitoring system according to claim 6, characterized in that: If the detection module detects that the exercise plan will cause other harm to the tester, the exercise simulation module will re-simulate and formulate the exercise plan. If the detection module detects that the exercise plan will not cause other harm to the tester, the post-meal reminder module will issue an exercise plan reminder.
8. A human health monitoring system according to claim 1, characterized in that: The working of the system includes the following steps: S1, data collection and statistical processing by the sensor module, and the system identifying whether the user is in the state of before or after meal; S2. Based on the user's health data, the system provides pre-meal health advice and post-meal exercise plans, and adjusts the plans based on feedback.
9. A human health monitoring system according to claim 8, characterized in that: In step S1: 1) The sensor module monitors human health data in real time through heart rate sensors, blood oxygen sensors, blood pressure sensors, body temperature sensors, blood sugar sensors, motion sensors and other devices; 2) The acquisition module receives data from various sensors, sorts and counts these data by category, and generates a data set named statistical data; 3) The recognition module analyzes the statistical data to determine whether the user is currently in the pre-meal state or the post-meal state; 4) If it is in the pre-meal state, the system will enable the pre-meal customization module; if it is in the post-meal state, the system will enable the post-meal customization module.
10. A human health monitoring system according to claim 8, characterized in that: In step S2: 1) Start the pre-meal customization unit; 2) The data module receives statistical data, and the analysis module analyzes the user's health status based on the data 15-30 minutes before the set meal time, and calculates the nutrients that should be consumed before the meal. The opinion generation module generates pre-meal health suggestions based on the analysis results, including "recommended items" and "prohibited items". The data transmission module displays the generated pre-meal health suggestions through the user's device or sends them to the user; 3) The post-meal customization unit is activated; 4) The receiving module receives post-meal statistical data, the exercise simulation module simulates the appropriate amount of exercise and consumption based on the statistical data, and formulates an exercise plan. The detection module detects the exercise plan to evaluate whether there is a potential risk to the user's health. If a damage risk is detected, the detection module will issue an adjustment suggestion, and the exercise simulation module will re-simulate and adjust the exercise plan. If there is no risk, the post-meal reminder module will issue a reminder to suggest that the user exercise according to the exercise plan.