Traditional Chinese medicine child health care system based on artificial intelligence

Abstract

The invention, which relates to the technical field of artificial intelligence, discloses an artificial intelligence-based traditional Chinese medicine children health care system comprising a children health care time management module, a children health care data monitoring module, a children facial image comprehensive evaluation module, a children sound feature extraction module, a children physique comprehensive scoring module, and a children health care scheme optimization module. According to the invention, by collecting the health-care monitoring data of each time of data entry of the child, calculating the comprehensive evaluation index of the qi and blood filling degree of the child and the sound intensity characteristic index of the child, the scoring coefficient of the constitution of the child is obtained, and by integrating and analyzing the multi-dimensional information, the dynamic tracking of the constitution of the child is facilitated, the evaluation efficiency is improved, and the evaluation accuracy is improved. Health management is facilitated, data support is provided for health care research of traditional Chinese medicine, a scoring coefficient difference value is obtained by subtracting a first reference value from a current child physique scoring coefficient, a health care scheme is adjusted according to the difference value, fluctuation of the child health state can be evaluated, and adaptability of the scheme is ensured.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology. More specifically, the present invention relates to a traditional Chinese medicine child health care system based on artificial intelligence. Background Art

[0002] With the gradual maturity of the application of artificial intelligence technology in the field of medical health, many medical institutions have begun to use information management systems to record children's health information. These systems have improved the efficiency of information storage and retrieval, facilitating doctors to consult children's historical health data at any time and providing references for diagnosis and treatment.

[0003] In recent years, the application of intelligent hardware devices in traditional Chinese medicine diagnosis has gradually increased. By collecting relevant information of children through intelligent devices, then identifying their physical constitutions according to the classification standards of traditional Chinese medicine physical constitutions, and providing corresponding health care suggestions, it has achieved rapid judgment of children's physical constitution types and also facilitated parents' management of children's health.

[0004] However, in actual use, there are still some deficiencies. For example, traditional traditional Chinese medicine child health care information management mainly records children's health information through clinical diagnosis, relying mostly on doctors' experience and parents' observations, with problems such as strong subjectivity, one-sided diagnostic results, and difficulty in real-time monitoring. The existing artificial intelligence applications lack depth. Most are just simple rule matching or statistical analysis, unable to fully consider the individual differences of each child and lacking personalized analysis of children's health conditions. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a traditional Chinese medicine child health care system based on artificial intelligence to solve the problems raised in the above background art.

[0006] To achieve the above object, the present invention provides the following technical solution: A traditional Chinese medicine child health care system based on artificial intelligence, comprising: Child health care time management module: Stores children's health information through a cloud database, numbers each data entry of children in sequence, and generates a comprehensive physical constitution score report for children every week.

[0007] Child health care data monitoring module: Collects health care monitoring data of each data entry of children through intelligent devices. The child health care data monitoring module includes a child facial image acquisition unit and a child voice feature acquisition unit.

[0008] Child facial image comprehensive evaluation module: Calculates a comprehensive evaluation index of children's qi and blood fullness for each data entry of children based on the child facial image data collected by the child facial image acquisition unit.

[0009] Children's Voice Feature Extraction Module: Based on the children's voice feature data collected by the children's voice feature collection unit, calculate the children's voice intensity feature index for each data entry of the children.

[0010] Children's Physical Constitution Comprehensive Scoring Module: Based on the comprehensive evaluation index of children's qi and blood sufficiency and the children's voice intensity feature index for each data entry of the children, analyze and obtain the children's physical constitution scoring coefficient for each data entry of the children.

[0011] Children's Health Care Plan Optimization Module: Through the children's physical constitution scoring coefficient for each data entry of the children, taking the children's physical constitution scoring coefficient of the first data entry of the children in the cloud database as the comparison benchmark, optimize and adjust the children's health care plan.

[0012] Preferably, the children's health care time management module is specifically: Record the children's health information, use the cloud database to store the children's health care data, including but not limited to the children's number, data recording time, data type, and sequentially number each data entry of the children as 1, 2,... i,... n.

[0013] Preferably, the children's health care data monitoring module is specifically: Children's Facial Image Acquisition Unit: Through a high-definition camera, take the facial images and tongue image of the children for each data entry under standard lighting conditions, extract the red, green, and blue channel values of each pixel point in the facial images of the children for each data entry, and mark them as 、 、 where i = 1, 2,... n, i represents the number of the i-th data entry, j = 1, 2,... m, j represents the number of the j-th facial image pixel point, extract the red, green, and blue channel values of each pixel point in the tongue image of the children for each data entry, and mark them as 、 、 where u = 1, 2,... q, u represents the number of the u-th tongue image pixel point, extract the tongue coating thickness in the tongue image of the children for each data entry, and mark it as ; Children's Voice Feature Acquisition Unit: Through a sound acquisition device, collect the sound signals of the children for each data entry, and obtain the sound wave amplitude value and sound wave frequency of the sound signals through audio processing, and mark them as 、 .

[0014] Preferably, the calculation formula for the comprehensive evaluation index of children's qi and blood sufficiency is: where, The comprehensive evaluation index of the qi and blood sufficiency degree of children for the $i$-th data entry, The skin color detection index for the $i$-th data entry, The skin color detection index for the $(i - 1)$-th data entry, The tongue texture detection index for the $i$-th data entry, The tongue texture detection index for the $(i - 1)$-th data entry, The allowable difference of the tongue texture detection index, The tongue coating thickness for the $i$-th data entry, The preset tongue coating thickness.

[0015] Preferably, the comprehensive evaluation index of the qi and blood sufficiency degree of children further includes: S51: Calculate the skin color detection index for each data entry of children through the red, green, and blue channel values of each pixel point in the facial image: Wherein, The skin color detection index for the $i$-th data entry, The red channel value of the $j$-th facial image pixel point for the $i$-th data entry, The green channel value of the $j$-th facial image pixel point for the $i$-th data entry, The blue channel value of the $j$-th facial image pixel point for the $i$-th data entry, $m$ represents the number of facial image pixel points, 、 、 Respectively represent the weight factors of the red, green, and blue channel values of the facial image, and + + = 1; S52: Calculate the tongue texture detection index for each data entry of children through the red, green, and blue channel values of each pixel point in the tongue image: Wherein, The tongue texture detection index for the $i$-th data entry, The red channel value of the $u$-th tongue image pixel point for the $i$-th data entry, The green channel value of the $u$-th tongue image pixel point for the $i$-th data entry, The blue channel value of the $u$-th tongue image pixel point for the $i$-th data entry, $q$ represents the number of tongue image pixel points, 、 、 Respectively represent the weight factors of the red, green, and blue channel values of the tongue image, and + + = 1。

[0016] Preferably, the calculation formula of the children's voice intensity characteristic index is: Wherein, represents the children's voice intensity characteristic index of the i-th data entry, represents the deviation degree of the sound wave amplitude value of the first data entry, represents the deviation degree of the sound wave frequency of the first data entry, represents the deviation degree of the sound wave amplitude value of the i-th data entry, represents the deviation degree of the sound wave frequency of the i-th data entry, represents the preset deviation degree of the sound wave amplitude value, represents the preset deviation degree of the sound wave frequency, and e represents the natural constant.

[0017] Preferably, the children's voice intensity characteristic index further includes: S71: Calculate the deviation degree of the sound wave amplitude value of each data entry of the child: Wherein, represents the deviation degree of the sound wave amplitude value of the i-th data entry, represents the sound wave amplitude value of the i-th data entry, represents the amplitude standard deviation, and n represents the total number of data entries; The calculation formula of the amplitude standard deviation is: ; S72: Calculate the deviation degree of the sound wave frequency of each data entry of the child: Wherein, represents the deviation degree of the sound wave frequency of the i-th data entry, represents the sound wave frequency of the i-th data entry, represents the frequency standard deviation; The calculation formula of the frequency standard deviation is: 。

[0018] Preferably, the calculation formula of the children's physical fitness scoring coefficient is: Wherein, represents the children's physical fitness scoring coefficient of the i-th data entry, represents the comprehensive evaluation index of the children's qi and blood fullness degree of the i-th data entry, The voice intensity characteristic index of the child for the i-th data entry The mean value of the comprehensive evaluation index of the child's qi and blood fullness The mean value of the voice intensity characteristic index of the child

[0019] Preferably, the child health care plan optimization module is specifically: S91: Use the child physical fitness scoring coefficient of the first data entry of the child in the cloud database as the comparison benchmark. When entering data each time later, the benchmark value is automatically extracted; S92: Subtract the benchmark value of the first entry from the current child physical fitness scoring coefficient to obtain the difference in the child physical fitness scoring coefficient; S93: If the difference in the child physical fitness scoring coefficient is less than 0, it indicates that the physical fitness of the currently entered child has deteriorated. Parents should be automatically prompted to take the child to the hospital for a comprehensive examination in a timely manner, and the doctor should be prompted to re-formulate the health care plan for the child; S94: If the difference in the child physical fitness scoring coefficient is greater than or equal to 0, it indicates that the physical fitness of the currently entered child has improved. Obtain the child number of the child with improved physical fitness, and further divide the improvement of the child's physical fitness into three levels: significant improvement, slight improvement, and basic stability; S95: Obtain the difference in the child physical fitness scoring coefficient that meets the improvement of the child's physical fitness, and compare it with the preset difference interval of the child physical fitness scoring coefficient. If the difference in the child physical fitness scoring coefficient of a certain child is greater than the maximum value of the preset difference interval of the child physical fitness scoring coefficient, it indicates that the improvement of the physical fitness of the child meets significant improvement, and the corresponding doctor of the child is notified to strengthen the health care plan; if the difference in the child physical fitness scoring coefficient of a certain child is greater than the minimum value of the preset difference interval of the child physical fitness scoring coefficient and less than or equal to the maximum value of the preset difference interval of the child physical fitness scoring coefficient, it indicates that the improvement of the physical fitness of the child meets slight improvement, and the corresponding doctor of the child is notified to consolidate the health care plan; if the difference in the child physical fitness scoring coefficient of a certain child is less than or equal to the minimum value of the preset difference interval of the child physical fitness scoring coefficient and greater than or equal to 0, it indicates that the improvement of the physical fitness of the child meets basic stability, and the corresponding doctor of the child is notified to optimize the health care plan.

[0020] The technical effects and advantages of the present invention: 1. The present invention provides a traditional Chinese medicine-based children's health care system using artificial intelligence. By storing data in a cloud database, it realizes data synchronization and sharing among multiple devices and multiple users. The health care monitoring data of each child data entry is collected by intelligent devices. The comprehensive evaluation index of the child's qi and blood fullness for each child data entry is calculated based on the child's facial image data collected by the child facial image acquisition unit. By integrating and analyzing this multi-dimensional information, it is beneficial to improve the efficiency of judging the qi and blood fullness situation, and may also discover potential health problems, providing a large amount of data support for the health care research of traditional Chinese medicine. According to the child's voice characteristic data collected by the child voice characteristic acquisition unit, the child's voice intensity characteristic index for each child data entry is calculated. By analyzing the voice intensity characteristic index, the health status of the child's respiratory system can be reflected, thus reflecting the physical function status. By accumulating and analyzing a large amount of voice data, it is beneficial to understand the change trend of the child's voice characteristics and provide data support for the health care research of traditional Chinese medicine. Further analysis yields the child's constitution scoring coefficient for each child data entry, which is beneficial to realizing the dynamic tracking of the child's constitution. Through an intelligent child constitution evaluation process, the evaluation efficiency is improved, facilitating health management; 2. The present invention provides a traditional Chinese medicine-based children's health care system using artificial intelligence. By using the children's health care plan optimization module, the child's constitution scoring coefficient of the first data entry of the child in the cloud database is used as a comparison benchmark. When data is entered each subsequent time, the benchmark value is automatically extracted, and the current entered child's constitution scoring coefficient is subtracted from the first entered benchmark value to obtain the difference in the child's constitution scoring coefficient. If the difference in the child's constitution scoring coefficient is less than 0, it indicates that the current entered child's constitution has deteriorated, and parents should be automatically prompted to take the child to the hospital for a comprehensive examination in a timely manner, and the doctor should be prompted to re-formulate the child's health care plan. If the difference in the child's constitution scoring coefficient is greater than or equal to 0, it indicates that the current entered child's constitution has improved. The child number of the improved child's constitution is obtained, and the improvement of the child's constitution is further divided into three levels: significant improvement, slight improvement, and basic stability. Then, the difference in the child's constitution scoring coefficient that meets the improvement of the child's constitution is compared with the preset difference interval of the child's constitution scoring coefficient, and the health care plan is dynamically adjusted according to the difference analysis. Thus, through the constitution scoring coefficient, the fluctuations in the child's health status are captured in real time, and the health care plan is optimized in a timely manner based on the changes in the constitution score to ensure the adaptability and effectiveness of the plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic structural diagram of a traditional Chinese medicine-based children's health care system using artificial intelligence according to the present invention.

[0022] Figure 2 It is a schematic structural diagram of the children's health care data monitoring module according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to 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 the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0024] Please refer to Figure 1 As shown, the present invention provides a traditional Chinese medicine child health care system based on artificial intelligence, including a child health care time management module, a child health care data monitoring module, a comprehensive evaluation module for children's facial images, a child voice feature extraction module, a comprehensive scoring module for children's constitutions, and a child health care plan optimization module.

[0025] The child health care time management module is connected to the child health care data monitoring module, the child health care data monitoring module is connected to the comprehensive evaluation module for children's facial images and the child voice feature extraction module, the comprehensive evaluation module for children's facial images and the child voice feature extraction module are connected to the comprehensive scoring module for children's constitutions, and the comprehensive scoring module for children's constitutions is connected to the child health care plan optimization module.

[0026] The child health care time management module: stores the health information of children through a cloud database, and numbers each data entry of children in sequence, generating a comprehensive constitution score report for children every week; stores data through the cloud database to achieve data synchronization and sharing among multiple devices and multiple users, which is conducive to centralized data management.

[0027] In a possible design, the child health care time management module is specifically: Records the health information of children, uses a cloud database to store child health care data, including but not limited to child numbers, data recording times, data types, and numbers each data entry of children in sequence as 1, 2,... i,... n.

[0028] Please refer to Figure 2 As shown, the child health care data monitoring module: collects health monitoring data for each data entry of children through intelligent devices. The child health care data monitoring module includes a child facial image acquisition unit and a child voice feature acquisition unit, and the health monitoring data includes child facial image data and child voice feature data; collects children's facial images and voice feature data with the help of intelligent devices, which has significant advantages in accurate health assessment and formulating personalized health care plans.

[0029] In a possible design, the child health care data monitoring module is specifically: Children's Facial Image Acquisition Unit: Take the facial images and tongue images of children for each data entry through a high-definition camera in a standard lighting environment, extract the red, green, and blue channel values of each pixel point in the facial images of children for each data entry, and mark them respectively as 、 、 , where i = 1, 2,... n, i represents the number of the i-th data entry, j = 1, 2,... m, j represents the number of the j-th facial image pixel point. Extract the red, green, and blue channel values of each pixel point in the tongue images of children for each data entry, and mark them respectively as 、 、 , u = 1, 2,... q, u represents the number of the u-th tongue image pixel point. Extract the tongue coating thickness in the tongue images of children for each data entry, and mark it as ; Children's Voice Feature Acquisition Unit: Collect the voice signals of children for each data entry through a voice acquisition device, and obtain the sound wave amplitude value and sound wave frequency of the voice signal through audio processing, and mark them respectively as 、 .

[0030] The above-mentioned Children's Facial Image Comprehensive Evaluation Module: It is used to receive the health monitoring data transmitted by the children's health data monitoring module, and calculate the comprehensive evaluation index of children's qi and blood fullness for each data entry of children according to the children's facial image data collected by the children's facial image acquisition unit; By integrating and analyzing these multi-dimensional information, it is beneficial to improve the efficiency of judging the qi and blood fullness situation, and may also discover potential health problems, providing a large amount of data support for the health research of traditional Chinese medicine.

[0031] In a possible design, the above-mentioned Children's Facial Image Comprehensive Evaluation Module is specifically: S01: Calculate the skin color detection index of children for each data entry through the red, green, and blue channel values of each pixel point in the facial image: Among them, represents the skin color detection index of the i-th data entry, represents the red channel value of the j-th facial image pixel point of the i-th data entry, represents the green channel value of the j-th facial image pixel point of the i-th data entry, represents the blue channel value of the j-th facial image pixel point of the i-th data entry, m represents the number of facial image pixel points, 、 、 represent the weight factors of the red, green, and blue channel values of the facial image respectively, and + + = 1; S02: Calculate the tongue quality detection index for each data entry of the child through the red, green, and blue channel values of each pixel point in the tongue image: Among them, represents the tongue quality detection index for the i-th data entry, represents the red channel value of the u-th pixel point of the tongue image for the i-th data entry, represents the green channel value of the u-th pixel point of the tongue image for the i-th data entry, represents the blue channel value of the u-th pixel point of the tongue image for the i-th data entry, q represents the number of pixel points in the tongue image, , , respectively represent the weight factors of the red, green, and blue channel values of the tongue image, and + + = 1; S03: The calculation formula for the comprehensive evaluation index of the child's qi and blood sufficiency is: Among them, represents the comprehensive evaluation index of the child's qi and blood sufficiency for the i-th data entry, represents the skin color detection index for the i-th data entry, represents the skin color detection index for the (i - 1)-th data entry, represents the tongue quality detection index for the i-th data entry, represents the tongue quality detection index for the (i - 1)-th data entry, represents the allowable difference of the tongue quality detection index, represents the tongue coating thickness for the i-th data entry, the preset tongue coating thickness.

[0032] The child voice feature extraction module: is used to receive the health monitoring data transmitted by the child health data monitoring module, and calculate the child voice intensity feature index for each data entry of the child according to the child voice feature data collected by the child voice feature collection unit; by analyzing the voice intensity feature index, the health status of the child's respiratory system can be reflected, thus reflecting the physical function status. Through the accumulation and analysis of a large amount of voice data, it is beneficial to understand the change trend of the child's voice features and provide data support for the health research of traditional Chinese medicine.

[0033] In a possible design, the child voice feature extraction module is specifically: S01: Calculate the deviation degree of the sound wave amplitude value for each data entry of the child: Wherein, represents the deviation degree of the sound wave amplitude value for the i-th data entry, represents the sound wave amplitude value for the i-th data entry, represents the standard deviation of the amplitude, and n represents the total number of data entries; The calculation formula for the standard deviation of the amplitude is: ; S02: Calculate the deviation degree of the sound wave frequency for each data entry of the child: Wherein, represents the deviation degree of the sound wave frequency for the i-th data entry, represents the sound wave frequency for the i-th data entry, represents the standard deviation of the frequency; The calculation formula for the standard deviation of the frequency is: ; S03: The calculation formula for the child voice intensity characteristic index is: Wherein, represents the child voice intensity characteristic index for the i-th data entry, represents the deviation degree of the sound wave amplitude value for the first data entry, represents the deviation degree of the sound wave frequency for the first data entry, represents the deviation degree of the sound wave amplitude value for the i-th data entry, represents the deviation degree of the sound wave frequency for the i-th data entry, represents the preset deviation degree of the sound wave amplitude value, represents the preset deviation degree of the sound wave frequency, and e represents the natural constant.

[0034] The child physical fitness comprehensive scoring module: Based on the comprehensive evaluation index of the child's qi and blood sufficiency degree and the child voice intensity characteristic index for each data entry of the child, analyze and obtain the child physical fitness scoring coefficient for each data entry of the child; Analyze according to the data entered by each child each time, which has high scientificity and reliability, is conducive to realizing the dynamic tracking of the child's physical fitness, and improves the evaluation efficiency through an intelligent child physical fitness evaluation process, facilitating health management.

[0035] In a possible design, the calculation formula for the child physical fitness scoring coefficient is: Among them, represents the physical fitness scoring coefficient of children for the i-th data entry, represents the comprehensive evaluation index of the qi and blood sufficiency degree of children for the i-th data entry, represents the voice intensity characteristic index of children for the i-th data entry, represents the mean value of the comprehensive evaluation index of the qi and blood sufficiency degree of children, represents the mean value of the voice intensity characteristic index of children, , .

[0036] The child health care plan optimization module: Through the physical fitness scoring coefficient of children for each data entry, taking the physical fitness scoring coefficient of children for the first data entry in the cloud database as the comparison benchmark, optimize and adjust the child health care plan; Through the physical fitness scoring coefficient, capture the fluctuations in the child's health status in real time, and optimize the health care plan in a timely manner according to the changes in the physical fitness score to ensure the adaptability and effectiveness of the plan.

[0037] In a possible design, the child health care plan optimization module is specifically: S01: Take the physical fitness scoring coefficient of children for the first data entry in the cloud database as the comparison benchmark, and automatically extract this benchmark value each time data is entered later; S02: Subtract the benchmark value of the first entry from the currently entered physical fitness scoring coefficient of children to obtain the difference in the physical fitness scoring coefficient of children; S03: If the difference in the physical fitness scoring coefficient of children is less than 0, it indicates that the physical fitness of the currently entered child has deteriorated, and parents should be automatically prompted to take the child to the hospital for a comprehensive examination in a timely manner, and the doctor should be prompted to re-formulate the health care plan for this child; S04: If the difference in the physical fitness scoring coefficient of children is greater than or equal to 0, it indicates that the physical fitness of the currently entered child has improved. Obtain the child number of the child with improved physical fitness, and further divide the improvement of the child's physical fitness into three levels: significant improvement, slight improvement, and basic stability; S05: Obtain the difference in the children's physical fitness score coefficient that meets the improvement of children's physical fitness, and compare it with the preset interval of the children's physical fitness score coefficient difference. If the difference in a certain child's physical fitness score coefficient is greater than the maximum value of the preset interval of the children's physical fitness score coefficient difference, it indicates that the physical fitness improvement of this child meets significant improvement, and notify the corresponding doctor of this child to strengthen the health care plan; if the difference in a certain child's physical fitness score coefficient is greater than the minimum value of the preset interval of the children's physical fitness score coefficient difference and less than or equal to the maximum value of the preset interval of the children's physical fitness score coefficient difference, it indicates that the physical fitness improvement of this child meets slight improvement, and notify the corresponding doctor of this child to consolidate the health care plan; if the difference in a certain child's physical fitness score coefficient is less than or equal to the minimum value of the preset interval of the children's physical fitness score coefficient difference and greater than or equal to 0, it indicates that the physical fitness improvement of this child meets basic stability, and notify the corresponding doctor of this child to optimize the health care plan.

[0038] In this embodiment, it should be specifically noted that the present invention stores data through a cloud database to achieve data synchronization and sharing among multiple devices and multiple users. The intelligent device collects the health monitoring data of each child's data entry, and calculates the comprehensive evaluation index of the child's qi and blood fullness for each child's data entry according to the child's facial image data collected by the child facial image acquisition unit. By integrating and analyzing these multi-dimensional information, it is beneficial to improve the efficiency of judging the qi and blood fullness situation, and may also discover potential health problems, providing a large amount of data support for the health care research of traditional Chinese medicine. According to the child voice feature data collected by the child voice feature acquisition unit, calculate the child voice intensity feature index for each child's data entry. By analyzing the voice intensity feature index, the health status of the child's respiratory system can be reflected, thus reflecting the physical function state. By accumulating and analyzing a large amount of voice data, it is beneficial to understand the change trend of the child's voice characteristics and provide data support for the health care research of traditional Chinese medicine. Further analyzing the child physical fitness score coefficient for each child's data entry is beneficial to realizing the dynamic tracking of the child's physical fitness. Through the intelligent child physical fitness evaluation process, the evaluation efficiency is improved, which is convenient for health management; The present invention utilizes a children's health care plan optimization module. The physical fitness scoring coefficient of a child when the child's first data is entered in the cloud database is used as a comparison benchmark. When data is entered each subsequent time, the benchmark value is automatically extracted, and the current entered physical fitness scoring coefficient of the child is subtracted from the benchmark value entered for the first time to obtain the difference in the physical fitness scoring coefficient of the child. If the difference in the physical fitness scoring coefficient of the child is less than 0, it indicates that the physical fitness of the currently entered child has deteriorated, and parents should be automatically prompted to take the child to the hospital for a comprehensive examination in a timely manner, and the doctor should be prompted to re-formulate the health care plan for this child. If the difference in the physical fitness scoring coefficient of the child is greater than or equal to 0, it indicates that the physical fitness of the currently entered child has improved. The child number of the child with improved physical fitness is obtained, and the improvement of the child's physical fitness is further divided into three levels: significant improvement, slight improvement, and basic stability. Furthermore, the difference in the physical fitness scoring coefficient of the child that meets the improvement of the child's physical fitness is compared with the preset difference interval of the physical fitness scoring coefficient of the child, and the health care plan is dynamically adjusted according to the difference analysis, so as to capture the fluctuations in the child's health status in real time through the physical fitness scoring coefficient, and optimize the health care plan in a timely manner according to the changes in the physical fitness score, ensuring the adaptability and effectiveness of the plan.

[0039] Finally: The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A TCM child health care system based on artificial intelligence, characterized in that: include: Children's health care time management module: The cloud database stores children's health information, numbers each data entry of the children in turn, and generates a comprehensive score report of the children's physical fitness every week; Child health data monitoring module: collects the health monitoring data of each data entry of the child through the smart device, and the child health data monitoring module includes a child facial image collection unit and a child voice feature collection unit; Children's facial image comprehensive evaluation module: calculates the comprehensive evaluation index of the children's qi and blood fullness for each data entry of the children based on the children's facial image data collected by the children's facial image acquisition unit; The child voice feature extraction module calculates the child voice intensity feature index of each data entry of the child according to the child voice feature data collected by the child voice feature collection unit; Children's physique comprehensive scoring module: According to the comprehensive evaluation index of children's qi and blood fullness and children's voice intensity characteristic index entered by children each time, the children's physique scoring coefficient is obtained by analysis; Child health plan optimization module: optimize and adjust the child health plan through the child's physical fitness score coefficient of each data entry of the child, and the child's physical fitness score coefficient of the first data entry of the child in the cloud database as a comparison benchmark.

2. According to claim 1, a TCM child health care system based on artificial intelligence is characterized by: The child care time management module is specifically: Record children's health information and use cloud database to store children's health care data, including but not limited to child number, data recording time, data type, and number each data entry of the child in sequence as 1, 2,...i,...n.

3. According to claim 1, a TCM child health care system based on artificial intelligence is characterized by: The child health data monitoring module is specifically: Child facial image acquisition unit: Use a high-definition camera to capture the child's facial image and tongue image for each data entry under a standard lighting environment, extract the red, green, and blue channel values ​​of each pixel in the child's facial image for each data entry, and mark them as , , , where i=1,2,...n, i represents the number of the i-th data entry, j=1,2,...m, j represents the number of the j-th facial image pixel, and the red, green, and blue channel values ​​of each pixel in the tongue image of each child's data entry are extracted and marked as , , , u=1,2,...q, u represents the number of the pixel point of the u-th tongue image, and the thickness of the tongue coating in the tongue image of each child's data entry is extracted and marked as ; Children's sound feature collection unit: The sound signal of each data entry of the child is collected through the sound collection device, and the sound wave amplitude value and sound wave frequency of the sound signal are obtained through audio processing, which are marked as , .

4. The artificial intelligence-based TCM child health care system according to claim 1, characterized in that: The calculation formula of the comprehensive evaluation index of children's qi and blood fullness is: in, It is represented by the comprehensive evaluation index of children's Qi and blood fullness of the i-th data entry, It is represented as the skin color detection index of the i-th data entry, It is represented as the skin color detection index of the i-1th data entry, It is represented as the tongue quality detection index of the i-th data entry, It is represented as the tongue quality detection index of the i-1th data entry, It is expressed as the allowable difference of tongue quality detection index. It is represented by the thickness of tongue coating of the ith data entry, Preset tongue coating thickness.

5. The artificial intelligence-based TCM child health care system according to claim 4 is characterized by: The comprehensive assessment index of children's qi and blood fullness also includes: S51: Calculate the skin color detection index of each child data entry through the red, green, and blue channel values ​​of each pixel in the facial image: in, It is represented as the skin color detection index of the i-th data entry, It represents the red channel value of the jth facial image pixel for the i-th data entry, It represents the green channel value of the jth facial image pixel for the i-th data entry, represents the blue channel value of the jth facial image pixel in the ith data entry, and m represents the number of facial image pixels. , , are weight factors for the red, green, and blue channel values ​​of the facial image, respectively, and + + =1; S52: Calculate the tongue quality detection index of the child for each data entry through the red, green, and blue channel values ​​of each pixel in the tongue image: in, It is represented as the tongue quality detection index of the i-th data entry, It represents the red channel value of the pixel point of the u-th tongue image for the i-th data entry, It represents the green channel value of the pixel point of the u-th tongue image in the i-th data entry, represents the blue channel value of the u-th tongue image pixel in the i-th data entry, q represents the number of tongue image pixels, , , are weight factors of the red, green, and blue channel values ​​of the tongue image, respectively, and + + =1.

6. The artificial intelligence-based TCM child health care system according to claim 1, characterized in that: The calculation formula of the children's voice intensity characteristic index is: in, It is represented as the characteristic index of children's voice intensity of the i-th data entry, It is expressed as the deviation of the sound wave amplitude value of the first data entry. It is expressed as the sound wave frequency deviation of the first data entry. It is expressed as the deviation of the sound wave amplitude value of the i-th data entry, It is expressed as the sound wave frequency deviation of the i-th data entry, Expressed as the deviation of the preset sound wave amplitude value, It is expressed as the preset sound wave frequency deviation, and e is expressed as a natural constant.

7. The artificial intelligence-based TCM child health care system according to claim 6 is characterized by: The child voice intensity characteristic index also includes: S71: Calculate the deviation of the sound wave amplitude value of each data entry of the child: in, It is expressed as the deviation of the sound wave amplitude value of the i-th data entry, It is represented by the sound wave amplitude value of the i-th data entry, It is expressed as the standard deviation of amplitude, and n is the total number of data entries; The calculation formula for the amplitude standard deviation is: ； S72: Calculate the sound wave frequency deviation of each data entry of the child: in, It is expressed as the sound wave frequency deviation of the i-th data entry, Represents the sound wave frequency of the i-th data entry, Expressed as frequency standard deviation; The calculation formula of the frequency standard deviation is: 。 8. The artificial intelligence-based TCM child health care system according to claim 1, characterized in that: The calculation formula of the child's physical fitness score coefficient is: in, It is represented as the children's physical fitness score coefficient of the i-th data entry, It is represented by the comprehensive evaluation index of children's Qi and blood fullness of the i-th data entry, It is represented as the characteristic index of children's voice intensity of the i-th data entry, It is expressed as the mean value of the comprehensive evaluation index of children's qi and blood fullness. Expressed as the mean of the children's voice intensity characteristic index.

9. The artificial intelligence-based TCM child health care system according to claim 1, characterized in that: The child health care program optimization module is specifically: S91: The child's physical fitness score coefficient of the first data entry of the child in the cloud database is used as a comparison benchmark, and the benchmark value is automatically extracted each time the data is entered subsequently; S92: subtract the first entered reference value from the currently entered child physique score coefficient to obtain the child physique score coefficient difference; S93: If the difference in the child's physical fitness score coefficient is less than 0, it indicates that the physical fitness of the currently entered child has deteriorated, and the parents should be automatically prompted to take the child to the hospital for a comprehensive examination in time, and the doctor should be prompted to re-formulate a health care plan for the child; S94: If the difference in the child's physical fitness score coefficient is greater than or equal to 0, it indicates that the currently entered child's physical fitness has improved, and the child ID of the child whose physical fitness has improved is obtained, and the child's physical fitness improvement is further divided into three levels: significantly improved, slightly improved, and basically stable; S95: Obtaining a child's physical fitness score coefficient difference that meets the child's physical fitness improvement, and comparing it with a preset child's physical fitness score coefficient difference interval; if a child's physical fitness score coefficient difference is greater than the maximum value of the preset child's physical fitness score coefficient difference interval, it indicates that the child's physical fitness improvement meets the requirement of significant improvement, and notifying the child's corresponding doctor to strengthen the health care plan; If the difference in the physical fitness score coefficient of a child is greater than the minimum value of the preset difference interval of the physical fitness score coefficient of the child, and less than or equal to the maximum value of the preset difference interval of the physical fitness score coefficient of the child, it indicates that the physical fitness improvement of the child meets the requirements of slight improvement, and the corresponding doctor of the child is notified to consolidate the health care plan; If the difference in a child's physical fitness score coefficient is less than or equal to the minimum value of the preset child's physical fitness score coefficient difference range and is greater than or equal to 0, it means that the child's physical fitness improvement meets the basic stability requirement, and the child's corresponding doctor is notified to optimize the health care plan.

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