Comprehensive evaluation method and system for growth and development state of brain of child

Abstract

The invention discloses a comprehensive evaluation method and system for a child brain growth and development state, and relates to the technical field of child growth and development health. Multi-dimensional data of child brain growth and development are comprehensively collected, and a child development database is established; based on the collected multi-dimensional data, extracting features for evaluating the growth and development state of the brain of the child, determining the standard value of each feature, and generating a feature sequence table; and respectively carrying out structural analysis, functional analysis and behavior analysis on the children by combining the relevant features of the feature sequence table and the standard value of each feature. According to the method, by collecting multi-dimensional data related to child brain growth and development, the key field of child brain development can be comprehensively covered, deviation or omission possibly brought by single-dimensional evaluation is avoided, deep analysis is performed on the collected data, key features are extracted and standardized processing is performed, and the accuracy of child brain development is improved. The quality and comparability of the data are further improved, the comprehensiveness of the evaluation result is improved, and the credibility of the evaluation result is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of children's growth and development health, and in particular to a comprehensive evaluation method and system for children's brain growth and development status. Background Art

[0002] Children's growth and development is a complex and continuous process, in which brain development is particularly critical. Brain development not only affects children's intelligence, emotions, social skills, etc., but also has a profound impact on their future learning and life. Studies have shown that the brain develops rapidly in the early stages of childhood, which is the best time to intervene. Early detection and treatment of developmental problems can significantly improve children's development outcomes. Therefore, comprehensive evaluation of children's brain growth and development status and timely detection and intervention of possible problems are of great significance to ensure the healthy growth of children.

[0003] The evaluation of children's brain development status involves data from multiple aspects, and the current analysis methods often process it from a single perspective, lacking a comprehensive and global perspective, and it is difficult to clarify the slight differences between individuals. Therefore, how to comprehensively evaluate the growth and development status of children's brains and more accurately reflect the actual status of children's brain growth and development is the problem we need to solve. To this end, a comprehensive evaluation method and system for children's brain growth and development is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a comprehensive evaluation method and system for the growth and development status of children's brains, so as to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] In a first aspect, a comprehensive evaluation method for the growth and development status of a child's brain comprises the following steps:

[0007] Step 1: Comprehensively collect multi-dimensional data on children’s brain growth and development and establish a children’s development database;

[0008] Step 2: Based on the collected multi-dimensional data, extract the features used to evaluate the growth and development status of children's brains, clarify the standard value of each feature, and generate a feature sequence table;

[0009] Step 3: Combine the relevant features of the feature sequence table and the standard values ​​of each feature to conduct structural analysis, functional analysis and behavioral analysis of the children respectively, and build a comprehensive evaluation system to clarify the weight of each analysis result;

[0010] Step 4: Generate a child's brain development status score based on the comprehensive evaluation system, and compare it with the standard score of normal development to identify abnormalities in the child's brain growth and development;

[0011] Step 5. Based on the comprehensive evaluation results, analyze the child’s brain growth and development status, formulate a personalized intervention plan, and conduct long-term tracking and monitoring.

[0012] A further improvement of the technical solution of the present invention is that in step 1, the process of collecting multi-dimensional data includes:

[0013] Clarify the scope of children's brain growth and development data to be collected, including the three dimensions of structure, function and behavior, and select appropriate tools based on data collection needs;

[0014] For the collection of structural data, MRI and CT imaging examination techniques are used to collect structural data of children's brains to clarify the morphological and structural characteristics of children's brains. For the collection of functional data, EEG technology is used to record the electrical activity of children's brains and analyze the synchronization and rhythmic characteristics of neural networks. For the collection of behavioral data, behavioral observation and cognitive testing are used to record the behavioral performance of children's motor skills, social interactions and emotional responses.

[0015] Clean the collected multi-dimensional data to remove duplicate, erroneous or invalid data, encode and standardize the data, unify the data format, and ensure the consistency of data from different sources;

[0016] Based on the MongoDB non-relational database, a child development database is constructed, and the data after data standardization is imported into the child development database for storage, so as to store and manage multi-source data on children's brain growth and development.

[0017] A further improvement of the technical solution of the present invention is that in step 2, the process of generating the feature sequence table includes:

[0018] Based on the multi-dimensional data in the child development database, the characteristics of the brain growth and development status of children in different age periods are analyzed, and the characteristics of structural data, functional data and behavioral data are analyzed respectively;

[0019] For structural data, its characteristics are clearly defined as ventricular volume, sulcus depth, and gray-to-white matter ratio, and the standard values ​​of each feature of the structural data are determined in combination with the literature and evaluation standards;

[0020] For functional data, its characteristics are clearly defined as EEG rhythmicity and neural network synchronization, and the standard values ​​of each feature of functional data are determined in combination with literature and evaluation standards;

[0021] For behavioral data, its characteristics are clearly defined as motor ability, social interaction, and emotional response, and the standard values ​​of each characteristic of behavioral data are determined in combination with literature and evaluation standards;

[0022] Integrate the data of each feature of structural data, functional data and behavioral data to generate a feature sequence table, including feature name, feature description, standard value, data source and evaluation significance.

[0023] A further improvement of the technical solution of the present invention is that in step 3, the process of structural analysis, functional analysis and behavioral analysis includes:

[0024] Importing a feature sequence table, and extracting relevant feature data of structure data, function data and behavior data from the feature sequence table;

[0025] Based on the characteristics of the structural data and the standard values ​​of each characteristic, the actual ventricular volume was compared with the standard value, the difference between the actual value and the standard value of the depth of the sulcus and gyrus was analyzed, the actual ratio of gray matter to white matter was calculated and compared with the standard value, and the ratio of each characteristic to its standard value was combined to calculate the structural trend value, and analyze the trend degree of the structural data of the children's brain growth and development status;

[0026] Based on the characteristics of functional data and the standard values ​​of each characteristic, the rhythmic characteristics of EEG signals were analyzed and compared with the standard values, the synchronization of neural activities between different brain regions was evaluated and compared with the standard values, the ratio of each characteristic to its standard value was combined, the functional trend value was calculated, and the trend degree of the functional data of children's brain growth and development status was analyzed;

[0027] Based on the characteristics of behavioral data and the standard values ​​of each characteristic, the scores of each characteristic of children's motor ability, social interaction and emotional response are calculated and compared with their standard values, and then the behavioral trend values ​​are comprehensively calculated to analyze the trend degree of children's brain growth and development status behavioral data;

[0028] Based on the results of structural analysis, functional analysis and behavioral analysis, a comprehensive evaluation system is constructed to determine the respective weights of structural data, functional data and behavioral data. Based on the structural trend value, functional trend value, behavioral trend value and their respective weights, the child's brain development status score is calculated to conduct a comprehensive evaluation of the child's brain growth and development status.

[0029] A further improvement of the technical solution of the present invention is that the calculation process of the structural trend value is:

[0030] The difference between the actual value and the standard value of each feature of the structural data was calculated to obtain the difference in ventricular volume, the difference in sulcus depth, and the difference in gray-white matter ratio. The difference in ventricular volume was the absolute difference between the actual ventricular volume and the standard ventricular volume, the difference in sulcus depth was the absolute difference between the actual sulcus depth and the standard sulcus depth, and the difference in gray-white matter ratio was the absolute difference between the actual gray-white matter ratio and the standard gray-white matter ratio.

[0031] The ratio of the difference of each feature of the structural data to its standard value was calculated to obtain the ratio of ventricular volume, the ratio of sulcus depth and the ratio of gray matter to white matter, where the ratio of ventricular volume was the relative difference ratio obtained by dividing the difference of ventricular volume by the standard ventricular volume, the ratio of sulcus depth was the relative difference ratio obtained by dividing the difference of sulcus depth by the standard sulcus depth, and the ratio of gray matter to white matter was the relative difference ratio obtained by dividing the difference of gray matter to white matter ratio by the standard gray matter to white matter ratio;

[0032] The average values ​​of the ventricular volume ratio, sulcus depth ratio, and gray matter to white matter ratio were calculated, and the deviation of the overall structural data was analyzed and multiplied by 100 to obtain the structural trend value.

[0033] The calculation process of the functional trend value is:

[0034] Calculate the difference between the actual value and the standard value of each feature of the functional data to obtain the EEG signal rhythmicity difference and the neural activity synchronization difference, wherein the EEG signal rhythmicity difference is the absolute difference between the actual EEG signal rhythmicity and the standard EEG signal rhythmicity, and the neural activity synchronization difference is the absolute difference between the actual neural activity synchronization and the standard neural activity synchronization;

[0035] The ratio of the difference of each feature of the functional data to its standard value is calculated to obtain the EEG signal rhythmicity ratio and the neural activity synchronization ratio, wherein the EEG signal rhythmicity ratio is the relative difference ratio obtained by dividing the difference of the EEG signal rhythmicity by the standard EEG signal rhythmicity, and the neural activity synchronization ratio is the relative difference ratio obtained by dividing the difference of the neural activity synchronization by the standard neural activity synchronization;

[0036] Calculate the average of the EEG signal rhythmicity ratio and the neural activity synchronization ratio, analyze the deviation of the overall functional data, and multiply it by 100 to obtain the functional trend value;

[0037] The calculation process of the behavior trend value is:

[0038] The difference between the actual value and the standard value of each characteristic of the behavioral data was calculated to obtain the difference in motor ability score, social interaction score and emotional response score, wherein the difference in motor ability score was the absolute difference between the actual motor ability score and the standard motor ability score, the difference in social interaction score was the absolute difference between the actual social interaction score and the standard social interaction score, and the difference in emotional response score was the absolute difference between the actual emotional response score and the standard emotional response score;

[0039] The ratio of the difference of each characteristic of the behavioral data to its standard value was calculated to obtain the athletic ability score ratio, social interaction score ratio and emotional response score ratio, wherein the athletic ability score ratio was the relative difference ratio obtained by dividing the difference in athletic ability score by the standard athletic ability score, the social interaction score ratio was the relative difference ratio obtained by dividing the difference in social interaction score by the standard social interaction score, and the emotional response score ratio was the relative difference ratio obtained by dividing the difference in emotional response score by the standard emotional response score;

[0040] The average of the motor ability score ratio, social interaction score ratio, and emotional response score ratio was calculated, the degree of deviation of the overall behavioral data was analyzed, and the average value was multiplied by 100 to obtain the behavioral tendency value.

[0041] A further improvement of the technical solution of the present invention is that the process of determining the weights of the structural data, functional data and behavioral data includes:

[0042] The ratio of the actual value to the standard value of each dimension is standardized to construct a standardized matrix X, in which each row represents the data of a child and each column represents a dimension;

[0043] For each dimension , calculate each sample The standardized value of The proportion , and then calculate its information entropy , where each dimension , each sample The standardized value of The expression of the specific gravity is: , is the index of the sample, is the index of the dimension, For each dimension Each sample The standardized value of is the number of samples, and the expression of information entropy is: ;

[0044] Calculate the coefficient of variation , whose expression is , analysis dimension The importance of , and calculate the sum of the coefficients of difference for each dimension , whose expression is: , is the number of dimensions, and then the weight of each dimension is obtained , .

[0045] A further improvement of the technical solution of the present invention is that in step 4, the process of identifying abnormalities in children's brain growth and development includes:

[0046] Combining the structural trend value, functional trend value, behavioral trend value and their respective weights, multiplying each trend value by its corresponding weight to obtain the weighted trend value, and then adding up all the weighted trend values ​​to calculate the result of the child's brain development status score;

[0047] Based on historical databases and literature, obtain normal development standard scores that match the child's age, ensure that the source of the standard scores is reliable and can reflect the latest research results on children's brain development, compare and analyze the children's scores with the normal development standard scores, and find out the differences;

[0048] Based on the results of comparative analysis, the dimensions where abnormalities exist are determined. For the abnormal dimensions, specific features are further located to identify abnormalities in children's brain development.

[0049] A further improvement of the technical solution of the present invention is that the expression for scoring the child's brain development status is:

[0050] ;

[0051] In the formula, Scoring the brain development status of children, reflecting the degree of deviation from the overall development status, It is the structural trend value, which indicates the overall deviation of the child's brain structure development from the standard value. It is the functional tendency value, which indicates the overall deviation of the child's brain function development from the standard value. It is the behavioral tendency value, which indicates the overall deviation of children's behavioral development from the standard value. is the weight of the structural trend value, is the weight of the functional trend value, is the weight of the behavior tendency value, and It should be noted that the smaller the score of a child’s brain development status, the closer the child’s brain development is to the normal standard and the smaller the degree of deviation is.

[0052] A further improvement of the technical solution of the present invention is that in step 5, the process of formulating a personalized intervention plan includes:

[0053] Based on the comprehensive evaluation results of the children's brain growth and development status, compared with the normal development standards, analyze whether the children's brain development is abnormal or deviates from the normal trajectory, and identify the dimensions and characteristics of abnormal or weak performance in the children's brain development based on the comprehensive evaluation results;

[0054] According to the manifestation of abnormal dimensions and specific characteristics, clear intervention goals are set, and personalized intervention measures are formulated for abnormal situations in different dimensions;

[0055] Clarify the implementation time, frequency and duration of intervention measures, and implement intervention measures step by step according to the implementation plan. During the implementation process, pay close attention to children's responses and progress, and adjust intervention strategies in a timely manner;

[0056] According to the children's age and development stage, a three-month evaluation cycle is set as the re-evaluation cycle, and each evaluation result is stored in the database to form a dynamic development curve. Combined with the re-evaluation results, the effectiveness of the intervention measures is judged.

[0057] In a second aspect, a comprehensive evaluation system for children's brain growth and development status is used to implement the comprehensive evaluation method for children's brain growth and development status as described above, including a comprehensive evaluation management platform, wherein the comprehensive evaluation management platform is communicatively connected with a data acquisition module, a feature extraction module, a trend value calculation module, a comprehensive evaluation module, an abnormality identification module, an intervention plan formulation module, and a tracking and monitoring module, wherein the modules are electrically connected;

[0058] The data collection module is used to collect multi-dimensional data on children's brain growth and development, including structural data, functional data and behavioral data;

[0059] The feature extraction module is used to perform feature analysis on multi-dimensional data, extract related features of each dimensional data, standardize the feature values, and obtain a feature sequence table;

[0060] The trend value calculation module calculates the structural trend value, the functional trend value and the behavioral trend value based on the standardized characteristic value, and quantifies the degree of deviation of each dimension;

[0061] The comprehensive evaluation module combines the structural tendency value, the functional tendency value, the behavioral tendency value and their respective weights, performs weighted summation, calculates the comprehensive score of the child's brain development status, quantifies the state of the child's brain development, facilitates comparative analysis with normal development standards, and finds out the existing differences and abnormal dimensions;

[0062] The abnormality identification module identifies the abnormal or weak dimensions and characteristics in the child's brain development based on the comprehensive evaluation results;

[0063] The intervention plan formulation module formulates a personalized intervention plan based on the results of the abnormality identification module;

[0064] The tracking and monitoring module is used for tracking and monitoring and effect evaluation after the implementation of the intervention plan. It regularly collects and analyzes children's growth data, evaluates the effectiveness of intervention measures, and adjusts the intervention plan based on the evaluation results. Through the tracking and monitoring and feedback module, the effectiveness and pertinence of intervention measures can be ensured, and intervention strategies can be adjusted in a timely manner to provide continuous support for children's long-term development.

[0065] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0066] 1. The present invention provides a comprehensive evaluation method and system for the growth and development status of children's brains. By collecting multi-dimensional data related to children's brain growth and development, the method can comprehensively cover the key areas of children's brain development, avoid the deviations or omissions that may be caused by single-dimensional evaluation, and conduct in-depth analysis of the collected data, extract key features and perform standardized processing, further improving the quality and comparability of the data, which not only improves the comprehensiveness of the evaluation results, but also enhances their credibility.

[0067] 2. The present invention provides a comprehensive evaluation method and system for the growth and development status of children's brains. By quantifying the degree of deviation in each dimension, it can more intuitively reflect the status and degree of abnormality of children's brain development, and provide strong support for the formulation of subsequent intervention plans. At the same time, by regularly evaluating children's growth data, it can objectively reflect the effectiveness of intervention measures and provide intuitive and reliable evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0069] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0070] Figure 2 This is a schematic diagram of the process of identifying abnormal brain growth and development in children according to the present invention;

[0071] Figure 3 It is a schematic diagram of the functional modules of the system of the present invention. DETAILED DESCRIPTION

[0072] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0073] Embodiment 1, as Figure 1 As shown, the present invention provides a comprehensive evaluation method for the growth and development status of children's brain, comprising the following steps:

[0074] Step 1: Comprehensively collect multi-dimensional data on children's brain growth and development, establish a children's development database, clarify the scope of children's brain growth and development data to be collected, including the three dimensions of structure, function and behavior, and select corresponding tools according to data collection needs. For the collection of structural data, use MRI and CT imaging examination technology to collect children's brain structure data and clarify the morphological and structural characteristics of children's brains. For the collection of functional data, use EEG technology to record the electrical activity of children's brains and analyze the synchronization and rhythmic characteristics of neural networks. For the collection of behavioral data, use behavioral observation and cognitive testing to record children's motor skills, social interactions and emotional responses. Clean the collected multi-dimensional data, remove duplicate, erroneous or invalid data, encode and standardize the data, unify the data format, and ensure the consistency of data from different sources. Based on the MongoDB non-relational database, build a children's development database, and import the standardized data into the children's development database for storage, so as to store and manage multi-source data on children's brain growth and development.

[0075] Step 2: Based on the collected multidimensional data, extract the features used to evaluate the growth and development status of children's brains, clarify the standard values ​​of each feature, generate a feature sequence table, and conduct feature analysis on the growth and development status of children's brains in different age periods based on the multidimensional data in the child development database. Analyze the features of structural data, functional data, and behavioral data separately. For structural data, clarify its features as ventricular volume, sulcus depth, and gray-to-white matter ratio. Combined with literature and evaluation criteria, determine the standard values ​​of each feature of structural data. Among them, ventricular volume is used to measure the size of the ventricles, sulcus depth is used to evaluate the depth of sulci and reflect the complexity of the cerebral cortex, and gray-to-white matter ratio is used to calculate the ratio of gray matter to white matter and evaluate the maturity of brain structure. For functional data, clarify its features as EEG rhythmicity and neural network synchronization. , and combined with the literature and evaluation standards, determine the standard values ​​of each feature of the functional data, among which EEG rhythmicity is used to analyze the rhythmic characteristics of EEG signals, and neural network synchronization is used to evaluate the synchronization of neural activities between different brain regions, reflecting the connection strength of the brain network. For behavioral data, its characteristics are clearly defined as motor ability, social interaction and emotional response, and combined with the literature and evaluation standards, determine the standard values ​​of each feature of the behavioral data, among which motor ability is used to record children's motor coordination, speed, strength and other indicators, social interaction is used to evaluate children's social skills, language communication, eye contact, etc., and emotional response is used to record children's emotional expressions in different situations. Integrate the data of each feature of structural data, functional data and behavioral data to generate a feature sequence table, including feature name, feature description, standard value, data source and evaluation significance;

[0076] Step 3. Combine the relevant features of the feature sequence table and the standard values ​​of each feature to conduct structural analysis, functional analysis and behavioral analysis of the children respectively, and build a comprehensive evaluation system, clarify the weight of each analysis result, import the feature sequence table, and extract the relevant feature data of structural data, functional data and behavioral data from the feature sequence table respectively. Based on the characteristics of the structural data and the standard values ​​of each feature, compare the actual ventricular volume with the standard value, analyze the difference between the actual value and the standard value of the depth of the sulcus and gyrus, calculate the actual ratio of gray matter and white matter and compare it with the standard value, and comprehensively calculate the ratio of each feature to its standard value to calculate the structural trend value, analyze the trend degree of the structural data of the children's brain growth and development status, and analyze the rhythmic characteristics of the EEG signal based on the characteristics of the functional data and the standard values ​​of each feature for comparison with the standard value. Assess the synchronization of neural activities between different brain regions and compare them with standard values, comprehensively compare the ratios of various characteristics to their standard values, calculate the functional trend value, analyze the trend degree of functional data of children's brain growth and development status, calculate the scores of various characteristics of children's motor ability, social interaction and emotional response based on the characteristics of behavioral data and the standard values ​​of each characteristic, and compare them with their standard values, and then comprehensively calculate the behavioral trend value, analyze the trend degree of behavioral data of children's brain growth and development status, and build a comprehensive evaluation system based on the results of structural analysis, functional analysis and behavioral analysis, determine the respective weights of structural data, functional data and behavioral data, and calculate the score of children's brain development status based on the structural trend value, functional trend value, behavioral trend value and their respective weights, and conduct a comprehensive evaluation of children's brain growth and development status;

[0077] The calculation process of the structural trend value is:

[0078] The difference between the actual value and the standard value of each feature of the structural data was calculated to obtain the difference in ventricular volume, the difference in sulcus depth, and the difference in gray-white matter ratio. The difference in ventricular volume was the absolute difference between the actual ventricular volume and the standard ventricular volume, the difference in sulcus depth was the absolute difference between the actual sulcus depth and the standard sulcus depth, and the difference in gray-white matter ratio was the absolute difference between the actual gray-white matter ratio and the standard gray-white matter ratio. The ratio of the difference in each feature of the structural data to its standard value was calculated to obtain the ratio of ventricular volume, sulcus depth, and gray matter ratio. White matter ratio ratio, where the ventricular volume ratio is the relative difference ratio obtained by dividing the difference in ventricular volume by the standard ventricular volume, the sulcus depth ratio is the relative difference ratio obtained by dividing the difference in sulcus depth by the standard sulcus depth, and the gray matter-white matter ratio is the relative difference ratio obtained by dividing the difference in gray matter-white matter ratio by the standard gray matter-white matter ratio. The average values ​​of the ventricular volume ratio, sulcus depth ratio, and gray matter-white matter ratio were calculated, the deviation of the overall structural data was analyzed, and multiplied by 100 to obtain the structural trend value;

[0079] The expression of structural trend value is:

[0080] ;

[0081] In the formula, It is the structural trend value, which indicates the degree of deviation of the child's brain structure development from the standard value. is the actual value of the ventricular volume, is the standard value of the ventricular volume, is the actual value of the depth of the sulcus, is the standard value of the depth of the sulcus, is the actual value of the gray matter-white matter ratio, is the standard value of the gray matter-white matter ratio. It should be noted that the smaller the structural trend value, the closer the child's brain structure development is to the normal standard, and the smaller the deviation is. The larger the structural trend value, the greater the difference between the child's brain structure development and the standard value, and further evaluation and intervention are needed.

[0082] The calculation process of the functional trend value is:

[0083] Calculate the difference between the actual value and the standard value of each feature of the functional data to obtain the EEG signal rhythmicity difference and the neural activity synchronization difference, wherein the EEG signal rhythmicity difference is the absolute difference between the actual EEG signal rhythmicity and the standard EEG signal rhythmicity, and the neural activity synchronization difference is the absolute difference between the actual neural activity synchronization and the standard neural activity synchronization. Calculate the ratio of the difference of each feature of the functional data to its standard value to obtain the EEG signal rhythmicity ratio and the neural activity synchronization ratio, wherein the EEG signal rhythmicity ratio is the relative difference ratio obtained by dividing the difference in EEG signal rhythmicity by the standard EEG signal rhythmicity, and the neural activity synchronization ratio is the relative difference ratio obtained by dividing the difference in neural activity synchronization by the standard neural activity synchronization. Calculate the average values ​​of the EEG signal rhythmicity ratio and the neural activity synchronization ratio, analyze the deviation degree of the overall functional data, and multiply by 100 to obtain the functional trend value;

[0084] The expression of functional trend value is:

[0085] ;

[0086] In the formula, It is the functional tendency value, which indicates the degree of deviation of the child's brain function development from the standard value. is the actual value of the rhythmicity of the EEG signal, is the standard value of the rhythmicity of the EEG signal, is the actual value of neural activity synchronization, It is the standard value of neural activity synchronization. It should be noted that the smaller the functional tendency value, the closer the child's brain function development is to the normal standard, and the smaller the deviation is. The larger the functional tendency value, the greater the difference between the child's brain function development and the standard value, and further evaluation and intervention are needed.

[0087] The calculation process of the behavior trend value is:

[0088] Calculate the difference between the actual value and the standard value of each feature of the behavioral data to obtain the difference in motor ability score, social interaction score and emotional response score, wherein the difference in motor ability score is the absolute difference between the actual motor ability score and the standard motor ability score, the difference in social interaction score is the absolute difference between the actual social interaction score and the standard social interaction score, and the difference in emotional response score is the absolute difference between the actual emotional response score and the standard emotional response score. Calculate the ratio of the difference in each feature of the behavioral data to its standard value to obtain the motor ability score ratio, social interaction score ratio and emotional response score ratio, wherein the motor ability score ratio is the relative difference ratio obtained by dividing the difference in motor ability score by the standard motor ability score, the social interaction score ratio is the relative difference ratio obtained by dividing the difference in social interaction score by the standard social interaction score, and the emotional response score ratio is the relative difference ratio obtained by dividing the difference in emotional response score by the standard emotional response score. Calculate the average of the motor ability score ratio, social interaction score ratio and emotional response score ratio, analyze the degree of deviation of the overall behavioral data, and multiply by 100 to obtain the behavioral tendency value;

[0089] The expression of behavior tendency value is:

[0090] ;

[0091] In the formula, It is the behavioral tendency value, which indicates the degree of deviation of children's behavioral development from the standard value. is the actual value of the athletic ability score, The standard value for the athletic ability score is The actual value for scoring the social interaction, Standard values ​​for scoring social interactions, The actual value for scoring the emotional response, It is the standard value for emotional response scoring. It should be noted that the smaller the behavior tendency value, the closer the child's behavior development is to the normal standard, and the smaller the deviation is. The larger the behavior tendency value, the greater the difference between the child's behavior development and the standard value, and further evaluation and intervention are needed.

[0092] The process of determining the respective weights of structural data, functional data, and behavioral data includes:

[0093] The ratio of the actual value to the standard value of each dimension is standardized to construct a standardized matrix X, in which each row represents the data of a child and each column represents a dimension;

[0094] For each dimension , calculate each sample The standardized value of The proportion , and then calculate its information entropy , information entropy reflects the degree of variation of the dimension in different samples. The smaller the variation, the larger the entropy value, indicating that the dimension has less influence on the comprehensive evaluation. Among them, each dimension , each sample The standardized value of The expression of the specific gravity is: , is the index of the sample, is the index of the dimension, For each dimension Each sample The standardized value of is the number of samples, and the expression of information entropy is: ;

[0095] Calculate the coefficient of variation , whose expression is , analysis dimension The greater the difference coefficient, the more important the dimension is in the comprehensive evaluation, and the sum of the difference coefficients of each dimension is calculated. , whose expression is: , is the number of dimensions, and then the weight of each dimension is obtained , ;

[0096] Step 4: Generate a child's brain development status score based on the comprehensive evaluation system, and compare it with the standard score of normal development to identify abnormalities in the child's brain growth and development;

[0097] Step 5. Based on the comprehensive evaluation results, analyze the child’s brain growth and development status, formulate a personalized intervention plan, and conduct long-term tracking and monitoring.

[0098] Embodiment 2, as Figure 2 As shown, based on Example 1, the present invention provides a technical solution: Preferably, in step 4, the process of identifying abnormal brain growth and development of children includes:

[0099] Combine the structural trend value, functional trend value, behavioral trend value and their respective weights, multiply each trend value by its corresponding weight to obtain the weighted trend value, and add all the weighted trend values ​​to calculate the result of the child's brain development status score. Based on the historical database and literature, obtain the normal development standard score that matches the child's age to ensure that the source of the standard score is reliable and can reflect the latest research results of the current child's brain development. Compare and analyze the child's score with the normal development standard score to find out the differences. According to the results of the comparative analysis, determine the dimension with abnormalities. For the abnormal dimension, further locate the specific characteristics and identify the abnormalities in the child's brain development.

[0100] The expression for children's brain development status score is:

[0101] ;

[0102] In the formula, Scoring the brain development status of children, reflecting the degree of deviation from the overall development status, It is the structural trend value, which indicates the overall deviation of the child's brain structure development from the standard value. It is the functional tendency value, which indicates the overall deviation of the child's brain function development from the standard value. It is the behavioral tendency value, which indicates the overall deviation of children's behavioral development from the standard value. is the weight of the structural trend value, is the weight of the functional trend value, is the weight of the behavior tendency value, and It should be noted that the smaller the score of the child's brain development status, the closer the child's brain development is to the normal standard, and the smaller the deviation is. The larger the score of the child's brain development status, the greater the difference between the child's brain development and the standard value, and further evaluation and intervention are needed.

[0103] In step 5, the process of developing a personalized intervention plan includes:

[0104] Based on the comprehensive evaluation results of the children's brain growth and development status, compared with the normal development standards, analyze whether the children's brain development is abnormal or deviates from the normal trajectory, and identify the dimensions and characteristics of abnormal or weak performance in children's brain development based on the comprehensive evaluation results. According to the manifestations of abnormal dimensions and specific characteristics, set clear intervention goals, and formulate personalized intervention measures for abnormalities in different dimensions. Interventions for structural abnormalities include imaging review, nutritional support and drug treatment. Imaging review is regular brain imaging examination to monitor structural changes. Nutritional support is to supplement necessary nutrients (DHA, vitamin D, etc.) to promote brain development. Drug treatment is drug intervention for specific diseases. Interventions for functional abnormalities include neurorehabilitation training, electrophysiological examination and treatment, and sleep management. Neurorehabilitation training is to improve brain function through physical therapy, cognitive training or music therapy. Electrophysiological examination and treatment is to use E EG or other technologies are used to evaluate EEG activity, and combined with transcranial magnetic stimulation and other methods for treatment. Sleep management is to optimize sleep quality and promote brain function recovery. Intervention for abnormal behavior includes psychological assessment intervention, exercise training and social skills development. Psychological assessment intervention is to improve emotional response and social interaction ability through psychological counseling or behavior correction. Exercise training is to design exercise plans suitable for children's age and development stage to improve motor skills. Social skills development is to provide opportunities for social interaction and help children establish good interpersonal relationships. The implementation time, frequency and duration of intervention measures should be clarified, and intervention measures should be implemented step by step according to the implementation plan. During the implementation process, close attention should be paid to children's reactions and progress, and intervention strategies should be adjusted in time. According to children's age and development stage, a three-month evaluation cycle is set as the re-evaluation cycle, and each evaluation result is stored in the database to form a dynamic development curve. Combined with the re-evaluation results, the effectiveness of the intervention measures is judged.

[0105] Embodiment 3, as Figure 3 As shown, on the basis of Embodiment 1-2, the present invention further provides a comprehensive evaluation system for the growth and development status of children's brains, which is used to implement the comprehensive evaluation method for the growth and development status of children's brains as described above, and includes a comprehensive evaluation management platform, the comprehensive evaluation management platform is communicatively connected with a data acquisition module, a feature extraction module, a trend value calculation module, a comprehensive evaluation module, an abnormality identification module, an intervention plan formulation module and a tracking and monitoring module, wherein the modules are electrically connected with each other;

[0106] The data collection module is used to collect multi-dimensional data on children's brain growth and development, including structural data, functional data, and behavioral data;

[0107] The feature extraction module is used to perform feature analysis on multi-dimensional data, extract the associated features of each dimensional data, standardize the feature values, and obtain a feature sequence table;

[0108] The trend value calculation module calculates the structural trend value, functional trend value and behavioral trend value based on the standardized characteristic value, and quantifies the degree of deviation of each dimension;

[0109] The comprehensive evaluation module combines the structural tendency value, functional tendency value, behavioral tendency value and their respective weights, performs weighted summation, calculates the comprehensive score of the child's brain development status, quantifies the state of the child's brain development, facilitates comparative analysis with normal development standards, and finds out the differences and abnormal dimensions;

[0110] The abnormality identification module identifies the abnormal or weak dimensions and characteristics in children’s brain development based on the comprehensive evaluation results;

[0111] The intervention program formulation module formulates personalized intervention programs based on the results of the abnormality identification module. Through personalized intervention programs, specific problems in children's brain development can be intervened to promote their brain development and healthy growth;

[0112] The tracking and monitoring module is used for tracking and monitoring and effect evaluation after the implementation of the intervention plan. It regularly collects and analyzes children's growth data, evaluates the effectiveness of intervention measures, and adjusts the intervention plan based on the evaluation results. Through the tracking and monitoring and feedback module, the effectiveness and pertinence of intervention measures can be ensured, and intervention strategies can be adjusted in a timely manner to provide continuous support for children's long-term development;

[0113] Specifically, the data collection module is used to comprehensively collect multi-dimensional data on children's brain growth and development, including structural data, functional data and behavioral data, and the collected multi-dimensional data is input into the feature extraction module to conduct in-depth analysis of the data, extract the related features of each dimensional data, and then standardize these feature values ​​to form a feature sequence table. Based on the standardized feature values, the trend value calculation module calculates the structural trend value, functional trend value and behavioral trend value respectively to quantify the degree of deviation of the children's brain in each dimension. The comprehensive evaluation module combines the structural trend value, functional trend value, behavioral trend value and their respective weights to perform By weighted summation, a comprehensive score of the child's brain development status is calculated, the overall status of the child's brain development is quantified, and compared with the normal development standards for analysis, so as to identify the existing differences and abnormal dimensions. The abnormality identification module automatically identifies the abnormal or weak dimensions and characteristics in the child's brain development based on the comprehensive evaluation results. Combined with the results of the abnormality identification module, the intervention plan formulation module formulates a personalized intervention plan. After the implementation of the intervention plan, the tracking and monitoring module regularly collects and analyzes the child's growth data, evaluates the effectiveness of the intervention measures, and adjusts the intervention plan based on the evaluation results to ensure the effectiveness and pertinence of the intervention measures.

[0114] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A comprehensive evaluation method for children's brain growth and development, characterized in that: The following steps are involved: Step 1: Comprehensively collect multi-dimensional data on children’s brain growth and development and establish a children’s development database; Step 2: Based on the collected multi-dimensional data, extract the features used to evaluate the growth and development status of children's brains, clarify the standard value of each feature, and generate a feature sequence table; Step 3: Combine the relevant features of the feature sequence table and the standard values ​​of each feature to conduct structural analysis, functional analysis and behavioral analysis of the children respectively, and build a comprehensive evaluation system to clarify the weight of each analysis result; Step 4: Generate a child's brain development status score based on the comprehensive evaluation system, and compare it with the standard score of normal development to identify abnormalities in the child's brain growth and development; Step 5. Based on the comprehensive evaluation results, analyze the child’s brain growth and development status, formulate a personalized intervention plan, and conduct long-term tracking and monitoring.

2. A comprehensive evaluation method for children's brain growth and development according to claim 1, characterized in that: In step 1, the process of collecting multi-dimensional data includes: Clarify the scope of children's brain growth and development data to be collected, including the three dimensions of structure, function and behavior, and select appropriate tools based on data collection needs; For the collection of structural data, MRI and CT imaging examination techniques are used to collect structural data of children's brains to clarify the morphological and structural characteristics of children's brains. For the collection of functional data, EEG technology is used to record the electrical activity of children's brains and analyze the synchronization and rhythmic characteristics of neural networks. For the collection of behavioral data, behavioral observation and cognitive testing are used to record the behavioral performance of children's motor skills, social interactions and emotional responses. Clean the collected multi-dimensional data, remove duplicate, erroneous or invalid data, encode and standardize the data, and unify the data format; Based on the MongoDB non-relational database, a child development database is constructed, and the data after data standardization is imported into the child development database for storage.

3. A comprehensive evaluation method for children's brain growth and development according to claim 2, characterized in that: In the step 2, the process of generating the feature sequence table includes: Based on the multi-dimensional data in the child development database, the characteristics of the brain growth and development status of children in different age periods are analyzed, and the characteristics of structural data, functional data and behavioral data are analyzed respectively; For structural data, its characteristics are clearly defined as ventricular volume, sulcus depth, and gray-to-white matter ratio, and the standard values ​​of each feature of the structural data are determined in combination with the literature and evaluation standards; For functional data, its characteristics are clearly defined as EEG rhythmicity and neural network synchronization, and the standard values ​​of each feature of functional data are determined in combination with literature and evaluation standards; For behavioral data, its characteristics are clearly defined as motor ability, social interaction, and emotional response, and the standard values ​​of each characteristic of behavioral data are determined in combination with literature and evaluation standards; Integrate the data of each feature of structural data, functional data and behavioral data to generate a feature sequence table, including feature name, feature description, standard value, data source and evaluation significance.

4. A comprehensive evaluation method for children's brain growth and development according to claim 3, characterized in that: In step 3, the process of structural analysis, functional analysis and behavioral analysis include: Importing a feature sequence table, and extracting relevant feature data of structure data, function data and behavior data from the feature sequence table; Based on the characteristics of the structural data and the standard values ​​of each characteristic, the actual ventricular volume was compared with the standard value, the difference between the actual value and the standard value of the depth of the sulcus and gyrus was analyzed, the actual ratio of gray matter to white matter was calculated and compared with the standard value, and the ratio of each characteristic to its standard value was combined to calculate the structural trend value, and analyze the trend degree of the structural data of the children's brain growth and development status; Based on the characteristics of functional data and the standard values ​​of each characteristic, the rhythmic characteristics of EEG signals were analyzed and compared with the standard values, the synchronization of neural activities between different brain regions was evaluated and compared with the standard values, the ratio of each characteristic to its standard value was combined, the functional trend value was calculated, and the trend degree of the functional data of children's brain growth and development status was analyzed; Based on the characteristics of behavioral data and the standard values ​​of each characteristic, the scores of each characteristic of children's motor ability, social interaction and emotional response are calculated and compared with their standard values, and then the behavioral trend values ​​are comprehensively calculated to analyze the trend degree of children's brain growth and development status behavioral data; Based on the results of structural analysis, functional analysis and behavioral analysis, a comprehensive evaluation system is constructed to determine the respective weights of structural data, functional data and behavioral data. Based on the structural trend value, functional trend value, behavioral trend value and their respective weights, the child's brain development status score is calculated to conduct a comprehensive evaluation of the child's brain growth and development status.

5. A comprehensive evaluation method for children's brain growth and development according to claim 4, characterized in that: The calculation process of the structural trend value is: The difference between the actual value and the standard value of each feature of the structural data was calculated to obtain the difference in ventricular volume, the difference in sulcus depth, and the difference in gray-white matter ratio. The difference in ventricular volume was the absolute difference between the actual ventricular volume and the standard ventricular volume, the difference in sulcus depth was the absolute difference between the actual sulcus depth and the standard sulcus depth, and the difference in gray-white matter ratio was the absolute difference between the actual gray-white matter ratio and the standard gray-white matter ratio. The ratio of the difference of each feature of the structural data to its standard value was calculated to obtain the ratio of ventricular volume, the ratio of sulcus depth and the ratio of gray matter to white matter, where the ratio of ventricular volume was the relative difference ratio obtained by dividing the difference of ventricular volume by the standard ventricular volume, the ratio of sulcus depth was the relative difference ratio obtained by dividing the difference of sulcus depth by the standard sulcus depth, and the ratio of gray matter to white matter was the relative difference ratio obtained by dividing the difference of gray matter to white matter ratio by the standard gray matter to white matter ratio; The average values ​​of the ventricular volume ratio, sulcus depth ratio, and gray matter to white matter ratio were calculated, and the deviation of the overall structural data was analyzed and multiplied by 100 to obtain the structural trend value. The calculation process of the functional trend value is: Calculate the difference between the actual value and the standard value of each feature of the functional data to obtain the EEG signal rhythmicity difference and the neural activity synchronization difference, wherein the EEG signal rhythmicity difference is the absolute difference between the actual EEG signal rhythmicity and the standard EEG signal rhythmicity, and the neural activity synchronization difference is the absolute difference between the actual neural activity synchronization and the standard neural activity synchronization; The ratio of the difference of each feature of the functional data to its standard value is calculated to obtain the EEG signal rhythmicity ratio and the neural activity synchronization ratio, wherein the EEG signal rhythmicity ratio is the relative difference ratio obtained by dividing the difference of the EEG signal rhythmicity by the standard EEG signal rhythmicity, and the neural activity synchronization ratio is the relative difference ratio obtained by dividing the difference of the neural activity synchronization by the standard neural activity synchronization; Calculate the average of the EEG signal rhythmicity ratio and the neural activity synchronization ratio, analyze the deviation of the overall functional data, and multiply it by 100 to obtain the functional trend value; The calculation process of the behavior trend value is: The difference between the actual value and the standard value of each characteristic of the behavioral data was calculated to obtain the difference in motor ability score, social interaction score and emotional response score, wherein the difference in motor ability score was the absolute difference between the actual motor ability score and the standard motor ability score, the difference in social interaction score was the absolute difference between the actual social interaction score and the standard social interaction score, and the difference in emotional response score was the absolute difference between the actual emotional response score and the standard emotional response score; The ratio of the difference of each characteristic of the behavioral data to its standard value was calculated to obtain the athletic ability score ratio, social interaction score ratio and emotional response score ratio, wherein the athletic ability score ratio was the relative difference ratio obtained by dividing the difference in athletic ability score by the standard athletic ability score, the social interaction score ratio was the relative difference ratio obtained by dividing the difference in social interaction score by the standard social interaction score, and the emotional response score ratio was the relative difference ratio obtained by dividing the difference in emotional response score by the standard emotional response score; The average of the motor ability score ratio, social interaction score ratio, and emotional response score ratio was calculated, the degree of deviation of the overall behavioral data was analyzed, and the average value was multiplied by 100 to obtain the behavioral tendency value.

6. A comprehensive evaluation method for children's brain growth and development according to claim 5, characterized in that: The process of determining the respective weights of the structural data, functional data and behavioral data includes: The ratio of the actual value to the standard value of each dimension is standardized to construct a standardized matrix X, in which each row represents the data of a child and each column represents a dimension; For each dimension , calculate each sample The standardized value of The proportion , and then calculate its information entropy , where each dimension , each sample The standardized value of The expression of the specific gravity is: , is the index of the sample, is the index of the dimension, For each dimension Each sample The standardized value of is the number of samples, and the expression of information entropy is: ; Calculate the coefficient of variation , whose expression is , analysis dimension The importance of , and calculate the sum of the coefficients of difference for each dimension , whose expression is: , is the number of dimensions, and then the weight of each dimension is obtained , .

7. A comprehensive evaluation method for children's brain growth and development according to claim 6, characterized in that: In step 4, the process of identifying abnormalities in the child's brain growth and development includes: Combining the structural trend value, functional trend value, behavioral trend value and their respective weights, multiplying each trend value by its corresponding weight to obtain the weighted trend value, and then adding all the weighted trend values ​​to calculate the result of the child's brain development status score; Based on historical databases and literature, obtain normal development standard scores that match the child's age, ensure that the source of the standard scores is reliable and can reflect the latest research results on children's brain development, compare and analyze the children's scores with the normal development standard scores, and find out the differences; Based on the results of comparative analysis, the dimensions where abnormalities exist are determined. For the abnormal dimensions, specific features are further located to identify abnormalities in children's brain development.

8. A comprehensive evaluation method for children's brain growth and development according to claim 7, characterized in that: The expression of the child's brain development status score is: ； In the formula, Scoring the brain development status of children, reflecting the degree of deviation from the overall development status, is the structural trend value, is the functional trend value, is the behavior tendency value, is the weight of the structural trend value, is the weight of the functional trend value, is the weight of the behavior tendency value, and It should be noted that the smaller the score of a child’s brain development status, the closer the child’s brain development is to the normal standard and the smaller the degree of deviation is.

9. A comprehensive evaluation method for children's brain growth and development according to claim 8, characterized in that: In step 5, the process of developing a personalized intervention plan includes: Based on the comprehensive evaluation results of the children's brain growth and development status, compared with the normal development standards, analyze whether the children's brain development is abnormal or deviates from the normal trajectory, and identify the dimensions and characteristics of abnormal or weak performance in the children's brain development based on the comprehensive evaluation results; According to the manifestation of abnormal dimensions and specific characteristics, clear intervention goals are set, and personalized intervention measures are formulated for abnormal situations in different dimensions; Clarify the implementation time, frequency and duration of intervention measures, and implement intervention measures step by step according to the implementation plan. During the implementation process, pay close attention to the children's response and progress, and adjust the intervention strategy in a timely manner; According to the children's age and development stage, a three-month evaluation cycle is set as the re-evaluation cycle, and each evaluation result is stored in the database to form a dynamic development curve. Combined with the re-evaluation results, the effectiveness of the intervention measures is judged.

10. A comprehensive evaluation system for children's brain growth and development status, used to implement the comprehensive evaluation method for children's brain growth and development status as described in any one of claims 1 to 9, comprising a comprehensive evaluation management platform, characterized in that: The comprehensive evaluation management platform is communicatively connected with a data acquisition module, a feature extraction module, a trend value calculation module, a comprehensive evaluation module, an abnormality identification module, an intervention plan formulation module and a tracking and monitoring module, wherein the modules are electrically connected with each other; The data collection module is used to collect multi-dimensional data on children's brain growth and development, including structural data, functional data and behavioral data; The feature extraction module is used to perform feature analysis on multi-dimensional data, extract related features of each dimensional data, standardize the feature values, and obtain a feature sequence table; The trend value calculation module calculates the structural trend value, the functional trend value and the behavioral trend value based on the standardized characteristic value, and quantifies the degree of deviation of each dimension; The comprehensive evaluation module combines the structural tendency value, the functional tendency value, the behavioral tendency value and their respective weights, performs weighted summation, and calculates a comprehensive score of the child's brain development status; The abnormality identification module identifies the abnormal or weak dimensions and characteristics in the child's brain development based on the comprehensive evaluation results; The intervention plan formulation module formulates a personalized intervention plan based on the results of the abnormality identification module; The tracking and monitoring module is used for tracking and monitoring and effect evaluation after the implementation of the intervention plan, regularly collecting and analyzing children's growth data, evaluating the effects of the intervention measures, and adjusting the intervention plan based on the evaluation results.

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