Pretreatment-disease home health management system and method

Abstract

The invention discloses a disease-preventive home health management system and method, and relates to the technical field of health management, and the system comprises a data misjudgment analysis end, a monitoring result early warning end and a dynamic change tracking end. The data misjudgment end is used for collecting physiological data of a user in real time, providing traditional Chinese medicine physique assessment and health suggestions for the user in real time according to health risks, and generating a personalized health management scheme; the monitoring result early warning end is used for analyzing whether the user data at the current moment has an early warning symptom or not in real time according to the execution state of the health management scheme; and the dynamic change tracking end is used for accurately simulating experience of a physician by calculating multi-source chromatic aberration of the user at different moments, and adjusting a health management scheme and a personalized disease prevention scheme in real time. According to the preventive disease home health management system and method, the execution accuracy of the health management scheme is ensured, the possible early symptoms of the user are prevented from being neglected, the accuracy of experience of a simulation doctor is improved, and the probability of health identification deviation is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of health management, and in particular to a home health management system and method for preventing illness. Background Art

[0002] Home health management for preventing illness before it occurs is a preventive medicine model that combines the traditional Chinese medicine concept of "preventing illness before it occurs" with modern health management technology. It aims to help people actively regulate their physical fitness, prevent the occurrence of disease, or delay the progression of disease through health monitoring, lifestyle intervention, and disease prevention measures in a home environment.

[0003] At present, there are some shortcomings in home health management for preventing diseases: 1. When users are conducting health management, they may misinterpret data and fail to monitor whether the user's blood sugar fluctuation values ​​are abnormal in real time, or abuse Chinese medicine conditioning methods. Constitution identification without the guidance of a doctor may be misjudged, and "yin deficiency" may be easily misjudged as "damp heat", resulting in the conditioning plan being counterproductive; 2. Users may ignore early symptoms because the home monitoring results are "normal". For users' persistent headaches, there is no early warning reminder, and it is easy to miss the best time to intervene in the disease; 3. Chinese medicine constitution identification relies on medical interviews and observations, including tongue, face and pulse. Existing smart home devices are difficult to accurately simulate the experience of doctors, and are prone to health identification deviations. At the same time, some platforms tend to ignore individual dynamic changes and cannot guarantee the accuracy of home health management.

[0004] Therefore, a preventive home health management system and method are proposed to solve the above problems. Summary of the Invention

[0005] The main purpose of the present invention is to provide a home health management system and method for preventing diseases, so as to solve the problems raised in the above background.

[0006] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a preventive home health management system and method, including a data misjudgment analysis terminal, a monitoring result warning terminal and a dynamic change tracking terminal;

[0007] The data misjudgment terminal is used to collect the user's physiological data in real time, identify potential health risks based on the physiological data in real time, provide the user with a TCM constitution assessment and health advice based on the health risks in real time, generate a personalized health management plan, and compare the data in real time to see if there are any abnormal interpretations, and track the implementation of the health management plan in real time;

[0008] The monitoring result warning terminal is used to collect user data captured by home monitoring devices in real time through the execution status of the health management plan, analyze in real time whether the user data at the current moment shows early warning symptoms, and issue early warning reminders in real time based on the user's warning symptoms;

[0009] The dynamic change tracking terminal is used to capture the user's tongue, facial and pulse conditions in real time, and to remind the user to monitor the tongue, facial and pulse conditions through voice timing, calculate the user's multi-source color difference at different times to accurately simulate the doctor's experience, and at the same time adjust the health management plan and personalized disease prevention plan in real time according to the individual's dynamic changes.

[0010] The data misjudgment analysis terminal includes a physiological data acquisition and identification module, a physical fitness assessment suggestion generation module, and a data interpretation and tracking module;

[0011] The physiological data acquisition and identification module is used to collect the user's physiological data in real time through a data acquisition instrument and health monitoring equipment. The physiological data includes heart rate, blood pressure, blood sugar, sleep quality and eating habits, and monitor the user's blood sugar fluctuations in real time through a blood sugar monitor.

[0012] The monitoring result warning terminal includes an execution status capture module, an early warning judgment module and a warning reminder plan generation module;

[0013] The execution status capture module is used to track the user's physiological data in real time during the execution of the health management plan through a data tracker, and to collect user data captured by home monitoring equipment in real time. The user data includes body temperature, sound, operating parameters and work and rest parameters.

[0014] The warning reminder program generation module is used to set the symptom risk threshold. If TrendRisk t If the symptom risk threshold is exceeded, it means that the user data at the current moment shows early warning symptoms, which will be reported to the system, and a real-time warning reminder will be issued for the user's warning symptoms. If not, it means that the user data at the current moment does not show early warning symptoms, and the personalized health management plan for different users will be adjusted in real time according to the symptom risk corresponding to the user data trend.

[0015] The dynamic change tracking terminal includes a multi-source data tracking and capturing module, a multi-source color difference simulation and judgment module, and a personalized solution adjustment module;

[0016] The multi-source color difference simulation judgment module is used to match the physician's experience in real time with the TCM constitution identification model based on the color differences between the user's tongue, face and pulse, and the physician's experience includes real-time judgment based on the color of the user's tongue, face and pulse;

[0017] The personalized plan adjustment module is used to set the data threshold corresponding to "yin deficiency", set the data threshold corresponding to "dampness and heat", calculate the user data corresponding to the physician's experience decision based on the data difference, and match the individual's dynamically changing health management plan and personalized disease prevention plan in real time based on the user data.

[0018] A home health management method for preventing illness, comprising the following steps:

[0019] Step 1: Enter the data misjudgment analysis terminal, collect the user's physiological data in real time, identify potential health risks based on the physiological data in real time, provide users with real-time Traditional Chinese Medicine constitution assessment and health advice based on health risks, generate personalized health management plans, and compare the data in real time to see if there are any abnormal interpretations, monitor the user's blood sugar fluctuations in real time to see if there are any abnormalities, and track the implementation of the health management plan in real time;

[0020] Step 2: Enter the monitoring result warning terminal, collect user data captured by home monitoring devices in real time through the execution status of the health management plan, analyze in real time whether the user data at the current moment shows early warning symptoms, and issue warning reminders in real time based on the user's warning symptoms. When the reminder is issued, a personalized disease prevention plan for the user is automatically generated;

[0021] Step 3: Enter the dynamic change tracking terminal, capture the user's tongue, facial features and pulse in real time, and remind the user to monitor the tongue, facial features and pulse through voice timing, calculate the user's multi-source color difference at different times to accurately simulate the doctor's experience, and adjust the health management plan and personalized disease prevention plan in real time according to individual dynamic changes to ensure the safety and reliability of the health management system.

[0022] The present invention has the following beneficial effects:

[0023] 1. In the present invention, by setting up a data misjudgment analysis terminal, when performing home health management operations for preventing diseases, the user's physiological data is collected in real time, and the physiological data include heart rate, blood pressure, blood sugar, sleep quality and eating habits, and potential health risks are identified in real time based on the physiological data. According to the health risks, the user is provided with a TCM constitution assessment and health suggestions in real time, so that personalized health management plans for different users can be automatically generated. When generating the health management plan, the data is compared in real time to see if there are any abnormal interpretations, and it is judged in real time whether there are any artifacts in the data interpretation. In combination with whether the user's blood sugar fluctuation value is abnormal, the execution status of the health management plan is judged in real time, so that the system can avoid the situation of incorrect data interpretation during operation, and can monitor in real time whether the user's blood sugar fluctuation value is abnormal, prevent the abuse of TCM conditioning methods, ensure the accuracy of the constitution identification guided by the physician, and ensure the accuracy of the execution of the health management plan.

[0024] 2. In the present invention, by setting up a monitoring result early warning terminal, when performing home health management operations for preventing diseases, by real-time tracking of the user's physiological data during the execution of the health management plan, and real-time collection of user data captured by home monitoring equipment, the user data includes human body temperature, sound, operating parameters and work and rest parameters, and real-time analysis of whether the user data at the current moment shows early warning symptoms, and real-time early warning reminders are made for the user's warning symptoms, so that when the user lives alone, the home monitoring equipment can be used to monitor whether the results are abnormal in real time, and avoid ignoring the user's possible early symptoms. Real-time early warning reminders are made for the user's possible early symptoms, so that the user can avoid missing the best time to intervene in the disease when living alone.

[0025] 3. In the present invention, by setting a dynamic change tracking terminal, when performing home health management operations for preventing diseases, the user's tongue, facial and pulse conditions are captured in real time, and the user is reminded to monitor the tongue, facial and pulse conditions through voice timing. During multi-source monitoring, the multi-source color difference of the user at different times is calculated in real time and the doctor's experience is simulated. The health management plan and personalized disease prevention plan are adjusted to the individual's dynamic changes in real time according to the simulated value, so that the identification of Chinese medicine constitution no longer depends on medical consultation and observation. The existing smart home equipment can increase the accuracy of simulating the doctor's experience, reduce the probability of health identification deviation, and further ensure the accuracy of home health management in combination with individual dynamic changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a schematic diagram of the system architecture of a preventive home health management system and method according to the present invention;

[0027] Figure 2 This is a schematic diagram of the architecture of a data misjudgment analysis end of a preventive home health management system and method according to the present invention;

[0028] Figure 3 This is a schematic diagram of the architecture of a data processing module of a preventive home health management system and method according to the present invention;

[0029] Figure 4 This is a schematic diagram of the architecture of the dynamic change tracking terminal of a home health management system and method for preventing diseases according to the present invention. DETAILED DESCRIPTION

[0030] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0031] Example 1

[0032] Please refer to Figures 1 to 2 Shown: A preventive home health management system and method, including a data misjudgment analysis terminal, a monitoring result early warning terminal, and a dynamic change tracking terminal;

[0033] The data misjudgment terminal is used to collect users' physiological data in real time, identify potential health risks based on the physiological data in real time, provide users with TCM constitution assessment and health advice based on health risks in real time, generate personalized health management plans, compare the data in real time to see if there are any abnormal interpretations, and track the implementation of the health management plan in real time;

[0034] The monitoring result warning terminal is used to collect user data captured by home monitoring devices in real time through the execution status of the health management plan, analyze in real time whether the user data at the current moment shows early warning symptoms, and issue early warning reminders in real time based on the user's warning symptoms;

[0035] The dynamic change tracking terminal is used to capture the user's tongue, facial features and pulse in real time, and remind the user to monitor the tongue, facial features and pulse through voice timing. It calculates the user's multi-source color difference at different times to accurately simulate the doctor's experience, and adjusts the health management plan and personalized disease prevention plan in real time according to the individual's dynamic changes.

[0036] The data misjudgment analysis end includes a physiological data collection and recognition module, a physical fitness assessment suggestion generation module, and a data interpretation and tracking module;

[0037] The physiological data acquisition and identification module is used to collect the user's physiological data in real time through data acquisition instruments and health monitoring equipment. Physiological data includes heart rate, blood pressure, blood sugar, sleep quality and eating habits, and monitor the user's blood sugar fluctuations in real time through a blood glucose monitor.

[0038] The physical fitness assessment recommendation generation module is used to identify the potential health risk index P based on physiological data in real time. The calculation formula is as follows:

[0039]

[0040] Among them, w i represents the feature importance weight, f(X i ) represents the nonlinear transformation of the i-th physiological indicator, and n represents the total number of physiological indicators. The health risk index provides users with real-time Chinese medicine constitution assessment reports and health recommendations. Health recommendations include diet optimization, exercise intervention, lifestyle habits, dynamic monitoring, and psychological intervention to obtain personalized health management plans for different users.

[0041] The data interpretation tracking module is used to compare data in real time when generating health management plans to see if there are any abnormal interpretations. It also calculates the RMSE of the data comparison difference, which measures the average difference between two sets of data, including the predicted value and the actual value, and the source data and the target data. The formula is as follows:

[0042]

[0043] Among them, N represents the total number of data points involved in the comparison, X 源，i Indicates the source value of the i-th data, X 目标，i It represents the target value of the i-th data. If RMSE is equal to 0, the interpretation is judged to be normal, indicating that no artifacts occur during the data interpretation. If not, the interpretation is judged to be abnormal, indicating that artifacts occur during the data interpretation. The reporting system issues a voice alarm reminder. By judging whether artifacts occur in the data interpretation and combining whether the user's blood sugar fluctuation value is abnormal, the implementation status of the health management plan is judged in real time, so that the system can avoid the situation of incorrect data interpretation during operation, and can monitor the user's blood sugar fluctuation value in real time to see if it is abnormal, prevent the abuse of traditional Chinese medicine conditioning methods, and ensure the accuracy of physical constitution identification guided by doctors.

[0044] Example 2

[0045] Please refer to Figure 3 As shown in the figure: Based on the foundation of foundation one, the monitoring result warning end includes an execution status capture module, an early warning judgment module, and an early warning reminder plan generation module;

[0046] The execution status capture module is used to track the user's physiological data in real time during the execution of the health management plan through a data tracker, and to collect user data captured by home monitoring equipment in real time. The user data includes body temperature, sound, operating parameters and work and rest parameters.

[0047] The early warning judgment module is used to analyze in real time whether the user data at the current moment has early warning symptoms, and calculate the symptom risk TrendRisk corresponding to the user data trend at the current moment in real time. t , the formula is as follows:

[0048]

[0049] Among them, Slope(X j，k ) represents the linear change rate of an indicator in the past T hours, Δt represents the monitoring duration, and k represents the time index.

[0050] The early warning reminder plan generation module is used to set the symptom risk threshold. tIf the symptom risk threshold is exceeded, it means that the user data at the current moment shows early warning symptoms, which will be reported to the system, and a warning reminder will be issued in real time for the user's warning symptoms. If not, it means that the user data at the current moment does not show early warning symptoms, and the personalized health management plan of different users will be adjusted in real time according to the symptom risk corresponding to the user data trend, and a warning reminder will be issued in real time for the user's warning symptoms, so that when the user lives alone, the home monitoring equipment can be used to monitor the results in real time to see if they are abnormal, and avoid ignoring the early symptoms that the user may have. Warning reminders will be issued in real time for the early symptoms that the user may have, so that the user will not miss the best time to intervene in the disease when living alone.

[0051] Example 3

[0052] Please refer to Figure 4 As shown in Figure 1, based on the foundation of foundation one, the dynamic change tracking end includes a multi-source data tracking and capture module, a multi-source color difference simulation and judgment module, and a personalized solution adjustment module;

[0053] The multi-source data tracking and capture module is used to capture the user's tongue, facial features, and pulse in real time, and to periodically remind the user to monitor their tongue, facial features, and pulse through a voice buzzer. During multi-source monitoring, the module calculates the user's multi-source color difference at different times in real time and simulates the physician's experience. The calculation formula for multi-source color difference is as follows:

[0054]

[0055] Wherein, ΔE represents the color difference between two data, and the data includes the user's tongue data, facial data and pulse data. Indicates the comparison coordinates of the first data, Indicates the comparison coordinates of the second data, Indicates the color difference between two data.

[0056] The multi-source color difference simulation judgment module is used to match the physician's experience in real time with the TCM constitution identification model based on the color differences between the user's tongue, face and pulse. The physician's experience includes real-time judgment based on the color of the user's tongue, face and pulse.

[0057] The personalized plan adjustment module is used to set the data threshold corresponding to "yin deficiency" and the data threshold corresponding to "dampness and heat". The user data corresponding to the physician's experience decision is calculated in real time based on the color difference between the two data. The user data is the simulation value under the physician's experience decision. The health management plan and personalized disease prevention plan are adjusted in real time according to the individual's dynamic changes based on the simulation value. The simulation value is the data value corresponding to the tongue image, facial appearance and pulse image of different users under color difference, so that the identification of Chinese medicine constitution no longer relies on medical interviews and observations. The existing smart home devices can increase the accuracy of simulating physician experience.

[0058] In the present invention, a home health management system and method for preventing diseases is provided. When the system is in operation, the home health management control terminal server for preventing diseases is first configured. The user's physiological data, including heart rate, blood pressure, blood sugar, sleep quality and eating habits, are collected in real time, and potential health risks are identified in real time based on the physiological data. According to the health risks, the user is provided with a TCM constitution assessment and health advice in real time, so that personalized health management plans for different users can be automatically generated. When generating the health management plan, the data is compared in real time to see if there are any abnormalities in the interpretation, and the data interpretation is judged in real time to see if there are any artifacts. In combination with whether the user's blood sugar fluctuation value is abnormal, the implementation status of the health management plan is judged in real time, so that the system avoids the situation of incorrect data interpretation when operating, can monitor in real time whether the user's blood sugar fluctuation value is abnormal, prevent the abuse of TCM conditioning methods, ensure the accuracy of the constitution identification guided by the physician, and ensure the accuracy of the implementation of the health management plan; by real-time tracking of the user's physiological data when the health management plan is being executed, and collecting home monitoring data in real time The user data captured by the measuring device includes body temperature, sound, operating parameters and rest parameters. The real-time analysis is carried out to see if the user data at the current moment has early warning symptoms, and early warning reminders are issued in real time for the user's warning symptoms, so that when the user lives alone, the home monitoring device can monitor the results in real time to see if they are abnormal, and avoid ignoring the early symptoms that the user may have. Early warning reminders are issued in real time for the early symptoms that the user may have, so as to avoid missing the best time to intervene in the disease when the user lives alone; by capturing the user's tongue, face and pulse in real time, and reminding the user to monitor the tongue, face and pulse through voice timing, the multi-source color difference of the user at different times is calculated in real time during multi-source monitoring and the doctor's experience is simulated. According to the simulated value, the health management plan and personalized disease prevention plan are adjusted to the individual's dynamic changes in real time, so that the identification of Chinese medicine constitution no longer depends on medical consultation and observation. The existing smart home equipment can increase the accuracy of the simulated doctor's experience, reduce the probability of health identification deviation, and further ensure the accuracy of home health management in combination with individual dynamic changes.

[0059] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A preventive home health management system, characterized in that: The system includes a data misjudgment analysis terminal, a monitoring result early warning terminal, and a dynamic change tracking terminal; The data misjudgment terminal is used to collect the user's physiological data in real time, identify potential health risks based on the physiological data in real time, provide the user with a TCM constitution assessment and health advice based on the health risks in real time, generate a personalized health management plan, and compare the data in real time to see if there are any abnormal interpretations, and track the implementation of the health management plan in real time; The monitoring result warning terminal is used to collect user data captured by home monitoring devices in real time through the execution status of the health management plan, analyze in real time whether the user data at the current moment shows early warning symptoms, and issue early warning reminders in real time based on the user's warning symptoms; The dynamic change tracking terminal is used to capture the user's tongue, facial and pulse conditions in real time, and to remind the user to monitor the tongue, facial and pulse conditions through voice timing, calculate the user's multi-source color difference at different times to accurately simulate the doctor's experience, and at the same time adjust the health management plan and personalized disease prevention plan in real time according to the individual's dynamic changes.

2. The system according to claim 1, wherein: The data misjudgment analysis terminal includes a physiological data acquisition and identification module, a physical fitness assessment suggestion generation module, and a data interpretation and tracking module; The physiological data acquisition and identification module is used to collect the user's physiological data in real time through a data acquisition instrument and health monitoring equipment. The physiological data includes heart rate, blood pressure, blood sugar, sleep quality and eating habits, and monitor the user's blood sugar fluctuations in real time through a blood sugar monitor.

3. The system according to claim 2, characterized in that: The physical fitness assessment and recommendation generation module is used to identify potential health risk index P based on physiological data in real time, and provide users with a TCM physical fitness assessment report and health recommendations in real time through the health risk index. The health recommendations include diet optimization, exercise intervention, lifestyle habits, dynamic monitoring and psychological intervention, so as to obtain personalized health management plans for different users.

4. The system according to claim 3, wherein: The data interpretation tracking module is used to compare the data in real time when generating a health management plan to see if there are any interpretation anomalies, calculate the data comparison difference value RMSE, and measure the average difference between the two groups of data, including the predicted value and the true value, and the source data and the target data. If the RMSE is equal to 0, the interpretation is judged to be normal, indicating that no artifacts occur during the data interpretation. If not, the interpretation is judged to be abnormal, indicating that artifacts occur during the data interpretation, and the reporting system issues a voice alarm reminder.

5. The system according to claim 1, wherein: The monitoring result warning terminal includes an execution status capture module, an early warning judgment module and a warning reminder plan generation module; The execution status capture module is used to track the user's physiological data in real time during the execution of the health management plan through a data tracker, and to collect user data captured by home monitoring equipment in real time. The user data includes body temperature, sound, operating parameters and work and rest parameters.

6. The system according to claim 5, characterized in that: The early warning judgment module is used to analyze in real time whether the user data at the current moment has early warning symptoms, and calculate in real time the symptom risk TrendRisk corresponding to the user data trend at the current moment. t .

7. The system according to claim 6, characterized in that: The warning reminder program generation module is used to set the symptom risk threshold. If TrendRisk t If the symptom risk threshold is exceeded, it means that the user data at the current moment shows early warning symptoms, which will be reported to the system, and a real-time warning reminder will be issued for the user's warning symptoms. If not, it means that the user data at the current moment does not show early warning symptoms, and the personalized health management plan for different users will be adjusted in real time according to the symptom risk corresponding to the user data trend.

8. The system according to claim 1, wherein: The dynamic change tracking terminal includes a multi-source data tracking and capturing module, a multi-source color difference simulation and judgment module, and a personalized solution adjustment module; The multi-source data tracking and capturing module is used to capture the user's tongue, facial features and pulse condition in real time, and to periodically remind the user to monitor the tongue, facial features and pulse condition through a voice buzzer. During multi-source monitoring, it calculates the multi-source color difference of the user at different times in real time and simulates the physician's experience.

9. The system according to claim 7, characterized in that: The multi-source color difference simulation judgment module is used to match the physician's experience in real time with the TCM constitution identification model based on the color differences between the user's tongue, face and pulse, and the physician's experience includes real-time judgment based on the color of the user's tongue, face and pulse; The personalized program adjustment module is used to set the data threshold corresponding to "yin deficiency" and the data threshold corresponding to "dampness and heat", calculate the user data corresponding to the physician's experience decision based on the data difference, and match the individual's dynamically changing health management plan and personalized disease prevention plan in real time based on the user data.

10. A home health management method for preventing disease according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Enter the data misjudgment analysis terminal, collect the user's physiological data in real time, identify potential health risks based on the physiological data in real time, provide users with real-time Traditional Chinese Medicine constitution assessment and health advice based on health risks, generate personalized health management plans, and compare the data in real time to see if there are any abnormal interpretations, monitor the user's blood sugar fluctuations in real time to see if there are any abnormalities, and track the implementation of the health management plan in real time; Step 2: Enter the monitoring result warning terminal, collect user data captured by home monitoring devices in real time through the execution status of the health management plan, analyze in real time whether the user data at the current moment shows early warning symptoms, and issue warning reminders in real time based on the user's warning symptoms. When the reminder is issued, a personalized disease prevention plan for the user is automatically generated; Step 3: Enter the dynamic change tracking terminal, capture the user's tongue, facial features and pulse in real time, and remind the user to monitor the tongue, facial features and pulse through voice timing, calculate the user's multi-source color difference at different times to accurately simulate the doctor's experience, and adjust the health management plan and personalized disease prevention plan in real time according to individual dynamic changes to ensure the safety and reliability of the health management system.

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