An intelligent pediatric cardiovascular rehabilitation auxiliary system

Abstract

The present invention relates to the field of medical engineering, and discloses an intelligent pediatric cardiovascular rehabilitation auxiliary system, the system comprising: a cardiovascular structure construction module, which is used to construct a cardiovascular three-dimensional structure of a target child; a health risk analysis module, which is used to construct a health status analysis algorithm for a target child, and after determining the cardiovascular status of the target child, calculate the health risk coefficient of the target child; a psychological guidance module, which is used to monitor the facial expression of the target child, perform micro-expression analysis on the target child, obtain the psychological state, analyze the rehabilitation cycle of the target child, calculate the influence coefficient of the psychological state on the rehabilitation cycle, perform psychological guidance on the target child, and obtain a psychological guidance plan; a rehabilitation training module, which is used to construct a personalized rehabilitation plan for the target child; and an auxiliary rehabilitation management module, which is used to construct an auxiliary rehabilitation plan for the target child to perform auxiliary rehabilitation management of the target child. The present invention can improve the rehabilitation effect of pediatric cardiovascular.

Description

Technical Field

[0001] The present invention relates to the field of medical engineering, and in particular to an intelligent pediatric cardiovascular rehabilitation auxiliary system. Background Art

[0002] Pediatric cardiovascular rehabilitation refers to a series of rehabilitation treatment measures for children with cardiovascular diseases. It aims to help children with congenital heart disease, Kawasaki disease, myocarditis, arrhythmia and other cardiovascular diseases to improve their cardiac function, physical activity, quality of life, and psychosocial adaptability through comprehensive rehabilitation methods.

[0003] With the increasing incidence of pediatric cardiovascular disease, the importance of rehabilitation therapy in the recovery process of children has become increasingly prominent. Traditional rehabilitation therapy may only include basic physical therapy and exercise training, without involving other potentially beneficial rehabilitation methods. This method lacks specificity and personalization, resulting in poor rehabilitation results. Summary of the invention

[0004] The present invention provides an intelligent pediatric cardiovascular rehabilitation auxiliary system, the main purpose of which is to improve the energy utilization rate of the air-conditioning system.

[0005] To achieve the above objectives, the present invention provides an intelligent pediatric cardiovascular rehabilitation auxiliary system, comprising:

[0006] Constructing a cardiovascular structure module, which is used to obtain basic information and examination data of the target child, wherein the examination data includes: experimental test data and imaging examination data, extracting cardiovascular features of the imaging examination data, and constructing the cardiovascular three-dimensional structure of the target child according to the cardiovascular features;

[0007] A health risk analysis module, for constructing a health status analysis algorithm for the target child according to the basic information, the experimental test data and the cardiovascular three-dimensional structure, determining the cardiovascular status of the target child according to the health status analysis algorithm, and calculating the health risk coefficient of the target child according to the cardiovascular status using a preset health risk probability algorithm;

[0008] A psychological guidance module is used to monitor the facial expression of the target child, perform micro-expression analysis on the target child according to the cardiovascular state, the health risk and the facial expression, obtain a psychological state, analyze the rehabilitation period of the target child according to the psychological state, calculate the influence coefficient of the psychological state on the rehabilitation period, and perform psychological guidance on the target child according to the influence coefficient to obtain a psychological guidance plan;

[0009] A rehabilitation training module, used to obtain the interests and hobbies of the target child, and to construct a personalized rehabilitation training program for the target child based on the interests and hobbies;

[0010] The auxiliary rehabilitation management module is used to construct an auxiliary rehabilitation program for the target child based on the pediatric rehabilitation training program and the psychological guidance program, and to perform auxiliary rehabilitation management of the target child based on the auxiliary rehabilitation program.

[0011] Optionally, extracting cardiovascular features from the imaging examination data includes:

[0012] Preprocessing the image inspection data to obtain a preprocessed image;

[0013] Identifying the cardiovascular structure of the preprocessed image, and performing image segmentation on the preprocessed image according to the cardiovascular structure to obtain an image of interest;

[0014] Performing morphological analysis on the image of interest to obtain morphological features, and performing continuous frame analysis on the image of interest to obtain myocardial motion features;

[0015] analyzing the blood flow velocity and blood flow pattern of the image of interest;

[0016] determining the hemodynamic characteristics of the image of interest according to the blood flow velocity and the blood flow pattern;

[0017] The cardiovascular characteristics of the image of interest are determined according to the myocardial motion characteristics, the morphological characteristics, and the hemodynamic characteristics.

[0018] Optionally, constructing the three-dimensional cardiovascular structure of the target child according to the cardiovascular characteristics includes:

[0019] Constructing a cardiovascular framework of the target child according to the morphological features corresponding to the cardiovascular features;

[0020] Determining the cardiovascular motion pattern of the target child according to the cardiovascular characteristics corresponding to the myocardial motion characteristics;

[0021] Determining blood physical parameters of the target child, and determining cardiovascular dynamic parameters of the target child according to the blood physical parameters and the hemodynamic characteristics corresponding to the cardiovascular characteristics;

[0022] The cardiovascular three-dimensional structure of the target child is constructed according to the cardiovascular dynamic parameters, the cardiovascular motion law and the cardiovascular framework.

[0023] Optionally, constructing a health status analysis algorithm for the target child according to the basic information, the experimental test data and the cardiovascular three-dimensional structure includes:

[0024] Extracting relevant historical data of the target child according to the basic information, the experimental test data and the cardiovascular three-dimensional structure;

[0025] Determine historical data features of the relevant historical data, and perform dimension reduction on the relevant historical data according to the historical data features to obtain dimension-reduced data;

[0026] Determining an algorithm framework and a loss function for the target child;

[0027] Determining an initial algorithm for the target child according to the algorithm framework and the loss function;

[0028] Using the dimension-reduced data to train the initial algorithm to obtain a trained algorithm;

[0029] Verifying the algorithm performance of the trained algorithm, and when the algorithm performance does not meet a preset algorithm performance standard, adjusting the algorithm parameters of the trained algorithm to obtain an adjusted algorithm;

[0030] The adjusted algorithm performance of the adjusted algorithm is verified, and when the adjusted algorithm performance meets the preset algorithm performance standard, the adjusted algorithm is used as the health status analysis algorithm of the target child.

[0031] In order to solve the above problems, the present invention also provides an intelligent pediatric cardiovascular rehabilitation auxiliary method, the method comprising:

[0032] Obtaining basic information and examination data of the target child, wherein the examination data includes: experimental test data and imaging examination data, extracting cardiovascular features of the imaging examination data, and constructing a cardiovascular three-dimensional structure of the target child based on the cardiovascular features;

[0033] constructing a health status analysis algorithm for the target child according to the basic information, the experimental test data and the cardiovascular three-dimensional structure, determining the cardiovascular status of the target child according to the health status analysis algorithm, and calculating the health risk coefficient of the target child according to the cardiovascular status using a preset health risk probability algorithm;

[0034] Monitoring the facial expression of the target child, performing micro-expression analysis on the target child according to the cardiovascular state, the health risk and the facial expression to obtain a psychological state, analyzing the rehabilitation period of the target child according to the psychological state, calculating the influence coefficient of the psychological state on the rehabilitation period, and providing psychological guidance to the target child according to the influence coefficient to obtain a psychological guidance plan;

[0035] Acquire the interests and hobbies of the target child, and construct a personalized rehabilitation training program for the target child based on the interests and hobbies;

[0036] According to the pediatric rehabilitation training program and the psychological guidance program, an auxiliary rehabilitation program for the target child is constructed, and according to the auxiliary rehabilitation program, auxiliary rehabilitation management of the target child is performed.

[0037] The embodiment of the present invention constructs the cardiovascular three-dimensional structure of the target child according to the cardiovascular characteristics, and can customize a personalized rehabilitation plan according to the unique cardiovascular structure of each child to improve the rehabilitation effect; optionally, the embodiment of the present invention constructs the health status analysis algorithm of the target child according to the basic information, the experimental test data and the cardiovascular three-dimensional structure, and can effectively analyze the changes in cardiovascular structure and function, and help doctors and parents better understand the health status of their children; the embodiment of the present invention calculates the health risk coefficient of the target child according to the cardiovascular status using a preset health risk probability algorithm, and can formulate a personalized rehabilitation plan and intervention strategy for the child according to the calculated risk probability; the embodiment of the present invention constructs the health status analysis algorithm of the target child according to the cardiovascular status, The health risks and the facial expressions are analyzed for micro-expressions of the target children, and the psychological state can be analyzed through micro-expressions, and anxiety, depression or other mental health problems may be discovered early, so as to intervene in time; the embodiment of the present invention guides the target children to conduct rehabilitation training according to the personalized rehabilitation game, and the pediatric rehabilitation training program can increase the participation and motivation of children through gamified rehabilitation training, so that they are more willing to carry out rehabilitation activities. Finally, the embodiment of the present invention constructs an auxiliary rehabilitation program for the target children according to the pediatric rehabilitation training program and the psychological guidance program, which can provide children with a more effective, comprehensive and personalized rehabilitation experience, thereby improving the quality of life of children and their families while improving the rehabilitation effect. Therefore, the present invention can improve the rehabilitation effect of pediatric cardiovascular. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A schematic diagram of a flow chart of an intelligent pediatric cardiovascular rehabilitation auxiliary method provided by an embodiment of the present invention;

[0039] Figure 2A functional module diagram of an intelligent pediatric cardiovascular rehabilitation auxiliary system provided by an embodiment of the present invention;

[0040] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0041] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0042] The embodiment of the present application provides an intelligent pediatric cardiovascular rehabilitation auxiliary method. The execution subject of the intelligent pediatric cardiovascular rehabilitation auxiliary method includes but is not limited to at least one of the electronic devices such as the server and the terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the intelligent pediatric cardiovascular rehabilitation auxiliary method can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

[0043] Reference Figure 1 FIG. 1 is a flow chart of an intelligent pediatric cardiovascular rehabilitation auxiliary method provided by an embodiment of the present invention. In this embodiment, the intelligent pediatric cardiovascular rehabilitation auxiliary method includes:

[0044] S1. Obtain basic information and examination data of the target child, wherein the examination data includes: experimental test data and imaging examination data, extract cardiovascular characteristics of the imaging examination data, and construct the cardiovascular three-dimensional structure of the target child based on the cardiovascular characteristics.

[0045] The embodiments of the present invention can formulate personalized health management and intervention plans for children by obtaining basic information and examination data of target children, thereby improving the pertinence and effectiveness of children's health management. The basic information refers to a series of personal information collected for the purpose of children's health management, such as name, gender, date of birth, ID number, etc. The examination data refers to quantitative or qualitative information about children's health status obtained through professional medical examinations and assessments during the process of children's health management. The experimental test data refers to data obtained through a series of scientific tests and analyses of children's samples (such as blood, urine, tissue, saliva, etc.) in a laboratory environment. The imaging examination data refers to image information about the internal structure of children's bodies obtained through medical imaging technology.

[0046] The embodiment of the present invention can provide a large amount of standardized cardiovascular imaging data by extracting cardiovascular features from the imaging data for use in medical research and development of new technologies. The cardiovascular features refer to specific indicators and morphologies related to the structure and function of the heart and blood vessels in the medical imaging data.

[0047] As an embodiment of the present invention, the extracting cardiovascular features of the imaging examination data includes:

[0048] Preprocessing the image inspection data to obtain a preprocessed image;

[0049] Identifying the cardiovascular structure of the preprocessed image, and performing image segmentation on the preprocessed image according to the cardiovascular structure to obtain an image of interest;

[0050] Performing morphological analysis on the image of interest to obtain morphological features, and performing continuous frame analysis on the image of interest to obtain myocardial motion features;

[0051] analyzing the blood flow velocity and blood flow pattern of the image of interest;

[0052] determining the hemodynamic characteristics of the image of interest according to the blood flow velocity and the blood flow pattern;

[0053] The cardiovascular characteristics of the image of interest are determined according to the myocardial motion characteristics, the morphological characteristics, and the hemodynamic characteristics.

[0054] Among them, the pre-processed image refers to the processing steps performed on medical image data before formal analysis to improve image quality, extract useful information, reduce noise and artifacts, and prepare for subsequent analysis and interpretation. The cardiovascular structure refers to the anatomical structure related to the heart and vascular system that is visible in medical images. The image of interest refers to the area in the image that contains specific diagnostic information or is closely related to the research target. The morphological feature refers to the quantitative or qualitative description of the morphology and structure of the tissue or organ extracted from the image data, such as size, volume, shape, contour, etc. The myocardial motion feature refers to the quantitative description of the movement and deformation of the myocardium during the cardiac cycle captured by imaging technology. The blood flow velocity refers to the speed at which blood flows in the blood vessels or heart. The blood flow pattern refers to the path, direction and distribution characteristics of blood flow. The hemodynamic characteristics refer to the comprehensive information about the physical properties of blood flowing in the cardiovascular system, such as flow, pressure, resistance, etc.

[0055] Optionally, the analysis of the blood flow velocity and blood flow pattern of the image of interest may be performed by 4D blood flow imaging technology.

[0056] Optionally, the identifying cardiovascular structure of the pre-processed image may be performed by using a semi-automatic or fully-automatic segmentation algorithm.

[0057] Optionally, determining the hemodynamic characteristics of the image of interest based on the blood flow velocity and the blood flow pattern can be determined by computational fluid dynamics.

[0058] The embodiment of the present invention constructs the cardiovascular three-dimensional structure of the target child according to the cardiovascular characteristics, and can customize a personalized rehabilitation plan according to the unique cardiovascular structure of each child to improve the rehabilitation effect. The cardiovascular three-dimensional structure refers to a model obtained by medical imaging technology that can show the three-dimensional morphology and structure of the heart and vascular system in detail.

[0059] As an embodiment of the present invention, constructing the three-dimensional cardiovascular structure of the target child according to the cardiovascular characteristics includes:

[0060] Constructing a cardiovascular framework of the target child according to the morphological features corresponding to the cardiovascular features;

[0061] Determining the cardiovascular motion pattern of the target child according to the cardiovascular characteristics corresponding to the myocardial motion characteristics;

[0062] Determining blood physical parameters of the target child, and determining cardiovascular dynamic parameters of the target child according to the blood physical parameters and the hemodynamic characteristics corresponding to the cardiovascular characteristics;

[0063] The cardiovascular three-dimensional structure of the target child is constructed according to the cardiovascular dynamic parameters, the cardiovascular motion law and the cardiovascular framework.

[0064] Among them, the cardiovascular framework refers to the anatomical structure of the heart and blood vessels, which includes the four chambers of the heart, valves, large blood vessels, and the vascular network connecting the heart to the whole body. The cardiovascular motion law refers to the movement and functional pattern of the heart and vascular system during the cardiac cycle, such as the contraction and relaxation of the heart, the opening and closing of the valves, the flow of blood in the blood vessels, and the mechanical behavior of the heart and blood vessel walls. The blood physical parameters refer to various parameters that describe the physical properties of blood, such as blood density, blood viscosity, etc. The cardiovascular dynamic parameters refer to characteristic parameters that describe the changes of the heart and vascular system over time during the circulation process, such as blood flow rate, cardiac output, cardiac ejection period, etc.

[0065] S2. Construct a health status analysis algorithm for the target child based on the basic information, the experimental test data and the cardiovascular three-dimensional structure; determine the cardiovascular status of the target child based on the health status analysis algorithm; and calculate the health risk coefficient of the target child based on the cardiovascular status using a preset health risk probability algorithm.

[0066] The embodiment of the present invention constructs the target child's health status analysis algorithm based on the basic information, the experimental test data and the cardiovascular three-dimensional structure, which can effectively analyze the changes in cardiovascular structure and function, and help doctors and parents better understand the child's health status. The health status analysis algorithm refers to a computational model that can integrate and analyze data from different sources to analyze individual health status.

[0067] As an embodiment of the present invention, constructing a health status analysis algorithm for the target child based on the basic information, the experimental test data and the cardiovascular three-dimensional structure includes:

[0068] Extracting relevant historical data of the target child according to the basic information, the experimental test data and the cardiovascular three-dimensional structure;

[0069] Determine historical data features of the relevant historical data, and perform dimension reduction on the relevant historical data according to the historical data features to obtain dimension-reduced data;

[0070] Determining an algorithm framework and a loss function for the target child;

[0071] Determining an initial algorithm for the target child according to the algorithm framework and the loss function;

[0072] Using the dimension-reduced data to train the initial algorithm to obtain a trained algorithm;

[0073] Verifying the algorithm performance of the trained algorithm, and when the algorithm performance does not meet a preset algorithm performance standard, adjusting the algorithm parameters of the trained algorithm to obtain an adjusted algorithm;

[0074] The adjusted algorithm performance of the adjusted algorithm is verified, and when the adjusted algorithm performance meets the preset algorithm performance standard, the adjusted algorithm is used as the health status analysis algorithm of the target child.

[0075] The relevant historical data refers to the past medical and biological data related to the analysis of the health status of the target child. The historical data features refer to a series of descriptive and distinguishing attributes extracted from the historical data of the target child. The dimension-reduced data refers to a data set processed by dimension-reduction techniques, which are designed to reduce the number of variables in the data set while retaining important information in the original data as much as possible. The algorithm framework refers to the overall structure and design blueprint for building and implementing the target child health status analysis algorithm. The loss function refers to a mathematical function used to evaluate the difference between the model prediction value and the actual value, such as mean square error, mean absolute error, cross entropy loss, etc. The initial algorithm refers to the algorithm version that was first proposed or selected during the algorithm design process. The trained algorithm refers to a machine learning model or algorithm that has completed the training process. The algorithm performance refers to the sum of various indicators and metrics of an algorithm's performance on a specific task. The preset algorithm performance criteria refer to a series of performance indicators and thresholds defined in advance when designing or verifying an algorithm, which are used to measure whether the algorithm has achieved the expected effect. The algorithm parameters refer to variables that can be adjusted in the algorithm, such as learning rate, number of iterations, etc. The adjusted algorithm refers to a machine learning model or algorithm that has gone through a series of optimization and improvement steps.

[0076] Optionally, the relevant historical data is reduced in dimension according to the characteristics of the historical data, and the reduced-dimensional data can be reduced in dimension by principal component analysis.

[0077] Optionally, the verifying the algorithm performance of the trained algorithm may be verified by calculating the F1 score of the trained algorithm.

[0078] The embodiment of the present invention determines the cardiovascular state of the target child according to the health state analysis algorithm, and can optimize the existing rehabilitation program and improve the rehabilitation effect by analyzing the algorithm results. The cardiovascular state refers to the structural and functional conditions of the heart and vascular system.

[0079] The embodiment of the present invention calculates the health risk coefficient of the target child according to the cardiovascular state using a preset health risk probability algorithm, and can formulate a personalized rehabilitation plan and intervention strategy for the child according to the calculated risk probability. The preset health risk probability algorithm refers to a calculation model based on a large amount of historical data and medical research. The health risk refers to the possibility that the health condition of the target child will deteriorate within a certain period of time in the future.

[0080] As an embodiment of the present invention, the health risk coefficient of the target child is calculated according to the cardiovascular state using a preset health risk probability algorithm, including:

[0081] constructing a state change curve of the cardiovascular state;

[0082] Analyzing the influencing factors of the cardiovascular state at different times according to the state change curve;

[0083] Calculating the correlation coefficient between the influencing factor and the cardiovascular status, and identifying the risk factor among the influencing factors according to the correlation coefficient;

[0084] According to the influencing factors and the risk factors, the health risk coefficient of the target child is calculated using the health risk probability algorithm, wherein the health risk probability algorithm includes:

[0085]

[0086] Among them, F(a) represents the health risk at time a, a i represents the i-th time between 0 and a, Y i Indicates that at time a i The total number of impact factors, d i Indicates that at time a i The total number of risk factors.

[0087] Among them, the state change curve refers to a trend line that shows the changes of cardiovascular related indicators (such as blood pressure, heart rate, blood lipids, etc.) of the target child over a period of time in the form of a graph. The influencing factors refer to those variables or characteristics that may have an effect on the cardiovascular state of the target child. The correlation coefficient refers to the degree of association between an influencing factor (such as blood pressure, body mass index, living habits, etc.) and cardiovascular state indicators (such as heart function, vascular health status, etc.). The risk factors refer to those variables that can increase the possibility of deterioration of an individual's health status.

[0088] Optionally, the state change curve of the cardiovascular state can be constructed by a time series analysis method.

[0089] Optionally, calculating the correlation coefficient between the influencing factor and the cardiovascular state includes:

[0090] Acquire the influence factor observation value of the single influence factor corresponding to the influence factor, and map the state observation value of the cardiovascular state according to the influence factor observation value;

[0091] Integrating the impact factor observation values ​​and the state observation values ​​into a single impact factor data set of the single impact factor, and determining the number of groups of the single impact factor data set;

[0092] According to the single influencing factor data set and the number of groups, the correlation coefficient between the influencing factor and the cardiovascular state is calculated using the following formula:

[0093]

[0094] Among them, μ represents the correlation coefficient, n represents the number of groups in the single impact factor data set, and P c represents the observed value of the impact factor of the cth group corresponding to the single impact factor dataset, Q c Represents the state observation value of the single impact factor data set corresponding to the cth group.

[0095] The single influencing factor refers to a certain influencing factor of the influencing factors. The influencing factor observation value refers to the factor value of the single influencing factor. The state observation value refers to the state value of the influencing factor observation value that affects the cardiovascular state. The single influencing factor data set refers to a data set that focuses on a single specific influencing factor.

[0096] S3. Monitor the facial expression of the target child, perform micro-expression analysis on the target child according to the cardiovascular status, the health risk and the facial expression to obtain the psychological state, analyze the rehabilitation period of the target child according to the psychological state, calculate the influence coefficient of the psychological state on the rehabilitation period, provide psychological guidance to the target child according to the influence coefficient, and obtain a psychological guidance plan.

[0097] The embodiment of the present invention can monitor the facial expressions of the target child and analyze the subtle changes in facial expressions to timely detect changes in the child's cardiovascular status or signs of health risks, thereby achieving early warning and providing the possibility for timely intervention. The facial expressions refer to the activities and configurations of human facial muscles, which can convey emotional states, psychological reactions, and physiological states.

[0098] The embodiment of the present invention analyzes the micro-expression of the target child according to the cardiovascular state, the health risk and the facial expression to obtain the psychological state. Through the micro-expression analysis, anxiety, depression or other mental health problems may be discovered early, so as to intervene in time. The psychological state refers to the sum of the individual's internal emotional experience, cognitive process, motivation level, self-perception and interaction with the external environment.

[0099] As an embodiment of the present invention, performing micro-expression analysis on the target child according to the cardiovascular state, the health risk and the facial expression to obtain the psychological state includes:

[0100] Performing facial detection on the facial expression to obtain a detected facial image, and performing light correction on the detected facial image to obtain a corrected facial image;

[0101] Extracting image features of the corrected facial image, and determining the facial action unit position and facial action unit strength of the target child according to the image features;

[0102] Constructing a micro-expression recognition algorithm of the target child according to the facial action unit position and the facial action unit strength;

[0103] identifying the micro-expression pattern of the target child through the micro-expression recognition algorithm;

[0104] Mapping the micro-expression pattern with a preset known emotional state to determine the emotional state of the target child;

[0105] The psychological state of the target child is determined based on the emotional state, the cardiovascular state, and the health risk.

[0106] The detected facial image refers to an image containing the target child's face that is identified and extracted from a set of image data by a specific image processing technique. The corrected facial image refers to a facial image that has been adjusted by a series of image processing techniques, and these adjustments are intended to reduce or eliminate distortion in the image caused by external factors (such as light changes, camera performance, etc.). The image features refer to quantitative or qualitative information extracted from the corrected facial image for characterizing and distinguishing facial expressions, such as local features, global features, texture features, etc. The facial action unit location refers to the active area of ​​a specific muscle or muscle group in a facial expression. The facial action unit intensity refers to the degree or strength of the activity of a specific action unit in a facial expression. The micro-expression recognition algorithm refers to a computer algorithm for detecting and analyzing micro-expressions. The micro-expression pattern refers to a combination of a group of specific facial action units that occur in a short period of time and together constitute a subtle, usually unintentional expression. The emotional state refers to the emotional experience and psychological reaction of an individual at a specific moment.

[0107] Optionally, the facial expression is subjected to facial detection to obtain a detected facial image, which can be detected by using Haar features and integral maps. The Haar features refer to a series of features based on the difference in pixel intensity of an image region, which are used for face detection. The integral map refers to a data structure for quickly calculating the sum of pixels in a rectangular region in an image.

[0108] Optionally, the micro-expression recognition algorithm for the target child based on the facial action unit position and the facial action unit strength may be constructed by a long short-term memory network.

[0109] The embodiment of the present invention can formulate a more personalized rehabilitation plan for the child by analyzing the rehabilitation period of the target child according to the psychological state. The rehabilitation period refers to the time period to recover to a certain functional level or reach a predetermined rehabilitation goal.

[0110] Optionally, as an embodiment of the present invention, analyzing the recovery period of the target child according to the psychological state may be performed by data analysis technology.

[0111] The embodiment of the present invention can help formulate a more personalized rehabilitation plan by calculating the influence coefficient of the psychological state on the rehabilitation period, and take more targeted intervention measures for children with greater psychological state influence. The influence coefficient refers to a quantitative indicator used to measure the degree of influence of the psychological state on the rehabilitation period.

[0112] As an embodiment of the present invention, the calculating the influence coefficient of the psychological state on the recovery period includes:

[0113] constructing a rehabilitation analysis curve diagram of the psychological state and the rehabilitation cycle;

[0114] Analyzing the time series characteristics and time series trends of the rehabilitation analysis curve graph;

[0115] Determining curve parameters of the rehabilitation analysis curve graph according to the time series characteristics and the time series trend;

[0116] According to the curve parameters, constructing a rehabilitation cycle analysis model of the target child corresponding to the psychological state;

[0117] Calculating the residual of the rehabilitation cycle analysis model, performing a white noise test on the residual, and obtaining a test result;

[0118] When the test result is the preset white noise, the influence coefficient of the psychological state on the rehabilitation period is determined according to the rehabilitation period analysis model.

[0119] Among them, the rehabilitation analysis curve chart refers to a method for visualizing the changes in the psychological state score and rehabilitation cycle of the target child over time. The time series characteristics refer to the various statistical characteristics and dynamic behaviors exhibited by the time series data. The time series trend refers to a continuous upward or downward trend exhibited by the time series data over a long period of time. The curve parameters are a set of numerical indicators used to describe the characteristics of the curve, and the curve parameters include: the number of autoregressive terms, the difference order, and the number of moving average terms. The rehabilitation cycle analysis model refers to a model used to analyze and predict the time period required for the target child to recover from injury. The residual refers to the difference between the observed value and the model predicted value in the rehabilitation cycle analysis model. The preset white noise refers to the white noise assumed as a reference or benchmark. White noise is a statistical concept that is usually used to describe a series of unrelated random variables.

[0120] Optionally, the curve parameters of the rehabilitation analysis curve graph determined according to the time series characteristics and the time series trend may be determined by an autocorrelation function, a unit root test, and a partial autocorrelation function.

[0121] The embodiment of the present invention provides psychological guidance to the target child according to the influence coefficient, and obtains a psychological guidance plan. By understanding the specific influence of the psychological state, a more personalized psychological guidance plan can be formulated for the child, thereby improving the pertinence and effect of rehabilitation.

[0122] S4, obtaining the interests and hobbies of the target child, and constructing a personalized rehabilitation training program for the target child according to the interests and hobbies;

[0123] The embodiment of the present invention can obtain the interests and hobbies of the target child, understand the interests and hobbies of the child, integrate them into rehabilitation activities, formulate a more personalized rehabilitation plan, and enhance the child's enthusiasm for participation.

[0124] The embodiment of the present invention can construct a personalized rehabilitation training program for the target child based on the interests and hobbies, and can significantly improve the child's participation and interest by integrating the child's interests and hobbies into rehabilitation games, making them more willing to participate in rehabilitation activities. The pediatric rehabilitation training program refers to a set of plans designed specifically for children, which aims to improve or restore children's physical, cognitive, emotional, social and other functions through specific activities and intervention measures.

[0125] As an embodiment of the present invention, constructing a personalized rehabilitation training program for the target child based on the interests and hobbies includes:

[0126] Determining the rehabilitation needs of the target child, and determining a rehabilitation game framework for the target child based on the rehabilitation needs and the interests and hobbies;

[0127] Constructing a storyline and game rules of the rehabilitation game framework, and determining the diverse levels and game mechanisms of the rehabilitation game framework according to the storyline and the game rules;

[0128] Constructing a feedback mechanism of the rehabilitation game framework, and optimizing the game content of the rehabilitation game framework in real time according to the feedback mechanism to obtain a game update module;

[0129] Constructing a safety mechanism for the rehabilitation game framework, and monitoring the game risks of the target child according to the safety mechanism;

[0130] According to the game risks, construct an early warning mechanism of the rehabilitation game framework;

[0131] According to the early warning mechanism, the safety mechanism, the game update module, the diversified levels, the game mechanism and the rehabilitation game architecture, a personalized rehabilitation training program for the target child is constructed.

[0132] Among them, the rehabilitation needs refer to the obstacles that individuals have in terms of physical function, psychological state, cognitive ability, social interaction, etc., which need to be improved or restored through professional rehabilitation training. The rehabilitation game framework refers to a game framework designed to meet specific rehabilitation needs. The storyline refers to the core narrative line or background story around which the game revolves. The game rules refer to a series of clear instructions and guidelines formulated in the rehabilitation game to guide player behavior and game progress. The diversified levels refer to a series of different game stages or tasks designed in the rehabilitation game, each with its own unique characteristics, goals and challenges, designed to provide a rich gaming experience and target different rehabilitation goals. The game mechanics refer to the rules, systems and procedures designed and implemented in the rehabilitation game to determine how the game works, how players interact, and how the game goals are achieved, such as incentive mechanisms, interactive mechanisms, etc. The feedback mechanism refers to a system used to provide information, guidance and response in the rehabilitation game. The game update module refers to a functional component in the rehabilitation game, which is responsible for regular or on-demand updates and maintenance of game content, functions, rules, interfaces, etc. The safety mechanism refers to a series of measures and protocols designed and implemented in rehabilitation games to protect the privacy, physical and mental health of players (especially children), and to ensure the safety and suitability of the gaming environment. The game risk refers to the potential negative impact or adverse consequences that may occur during the design and implementation of rehabilitation games. The early warning mechanism refers to a set of systems or procedures designed in rehabilitation games to identify and notify potential problems or risks in advance so that appropriate preventive measures or interventions can be taken.

[0133] Optionally, the storyline and game rules for constructing the rehabilitation game framework can be constructed through a player-centered design method.

[0134] Optionally, the early warning mechanism for constructing the rehabilitation game framework according to the game risk can be constructed by a threshold setting method.

[0135] S5. Construct an auxiliary rehabilitation program for the target child based on the pediatric rehabilitation training program and the psychological guidance program, and implement auxiliary rehabilitation management for the target child based on the auxiliary rehabilitation program.

[0136] The embodiment of the present invention can provide a more effective, comprehensive and personalized rehabilitation experience for the child by constructing the auxiliary rehabilitation program for the target child according to the pediatric rehabilitation training program and the psychological guidance program, thereby improving the rehabilitation effect and the quality of life of the child and his family. The auxiliary rehabilitation program refers to a comprehensive plan of methods and activities designed to support and supplement traditional rehabilitation treatments.

[0137] Optionally, the auxiliary rehabilitation program for the target child based on the pediatric rehabilitation training program and the psychological guidance program can be constructed through adaptive technology.

[0138] The embodiment of the present invention can implement the assisted rehabilitation management of the target child according to the assisted rehabilitation plan, meet the child's unique rehabilitation needs through customized rehabilitation activities and intervention measures, and improve the targetedness and effectiveness of treatment.

[0139] The embodiment of the present invention constructs the cardiovascular three-dimensional structure of the target child according to the cardiovascular characteristics, and can customize a personalized rehabilitation plan according to the unique cardiovascular structure of each child to improve the rehabilitation effect; optionally, the embodiment of the present invention constructs the health status analysis algorithm of the target child according to the basic information, the experimental test data and the cardiovascular three-dimensional structure, and can effectively analyze the changes in cardiovascular structure and function, and help doctors and parents better understand the health status of their children; the embodiment of the present invention calculates the health risk coefficient of the target child according to the cardiovascular status using a preset health risk probability algorithm, and can formulate a personalized rehabilitation plan and intervention strategy for the child according to the calculated risk probability; the embodiment of the present invention constructs the health status analysis algorithm of the target child according to the cardiovascular status, The health risks and the facial expressions are analyzed for micro-expressions of the target children, and the psychological state can be analyzed through micro-expressions, and anxiety, depression or other mental health problems may be discovered early, so as to intervene in time; the embodiment of the present invention guides the target children to conduct rehabilitation training according to the personalized rehabilitation game, and the pediatric rehabilitation training program can increase the participation and motivation of children through gamified rehabilitation training, so that they are more willing to carry out rehabilitation activities. Finally, the embodiment of the present invention constructs an auxiliary rehabilitation program for the target children according to the pediatric rehabilitation training program and the psychological guidance program, which can provide children with a more effective, comprehensive and personalized rehabilitation experience, thereby improving the quality of life of children and their families while improving the rehabilitation effect. Therefore, the present invention can improve the rehabilitation effect of pediatric cardiovascular.

[0140] like Figure 2 , which is a functional module diagram of an intelligent pediatric cardiovascular rehabilitation auxiliary system provided by an embodiment of the present invention.

[0141] The intelligent pediatric cardiovascular rehabilitation auxiliary system 200 of the present invention can be installed in an electronic device. According to the functions to be implemented, the intelligent pediatric cardiovascular rehabilitation auxiliary system 200 can include a cardiovascular structure construction module 201, a health risk analysis module 202, a psychological guidance module 203, a rehabilitation training module 204 and an auxiliary rehabilitation management module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0142] In this embodiment, the functions of each module / unit are as follows:

[0143] The cardiovascular structure construction module 201 is used to obtain basic information and examination data of the target child, wherein the examination data includes: experimental test data and imaging examination data, extract cardiovascular features of the imaging examination data, and construct the cardiovascular three-dimensional structure of the target child according to the cardiovascular features;

[0144] The health risk analysis module 202 is used to construct a health status analysis algorithm for the target child based on the basic information, the experimental test data and the cardiovascular three-dimensional structure, determine the cardiovascular status of the target child based on the health status analysis algorithm, and calculate the health risk coefficient of the target child based on the cardiovascular status using a preset health risk probability algorithm;

[0145] The psychological guidance module 203 is used to monitor the facial expression of the target child, perform micro-expression analysis on the target child according to the cardiovascular state, the health risk and the facial expression, obtain the psychological state, analyze the rehabilitation period of the target child according to the psychological state, calculate the influence coefficient of the psychological state on the rehabilitation period, and perform psychological guidance on the target child according to the influence coefficient to obtain a psychological guidance plan;

[0146] The rehabilitation training module 204 is used to obtain the interests and hobbies of the target child, construct a personalized rehabilitation game for the target child based on the interests and hobbies, guide the target child to perform rehabilitation training based on the personalized rehabilitation game, and obtain a pediatric rehabilitation training program;

[0147] The auxiliary rehabilitation management module 205 is used to construct an auxiliary rehabilitation program for the target child according to the pediatric rehabilitation training program and the psychological guidance program, and to perform auxiliary rehabilitation management of the target child according to the auxiliary rehabilitation program.

[0148] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An intelligent pediatric cardiovascular rehabilitation auxiliary system, characterized in that: The system comprises: Constructing a cardiovascular structure module, which is used to obtain basic information and examination data of the target child, wherein the examination data includes: experimental test data and imaging examination data, extracting cardiovascular features of the imaging examination data, and constructing the cardiovascular three-dimensional structure of the target child according to the cardiovascular features; A health risk analysis module, for constructing a health status analysis algorithm for the target child according to the basic information, the experimental test data and the cardiovascular three-dimensional structure, determining the cardiovascular status of the target child according to the health status analysis algorithm, and calculating the health risk coefficient of the target child according to the cardiovascular status using a preset health risk probability algorithm; A psychological guidance module is used to monitor the facial expression of the target child, perform micro-expression analysis on the target child according to the cardiovascular state, the health risk and the facial expression, obtain a psychological state, analyze the rehabilitation period of the target child according to the psychological state, calculate the influence coefficient of the psychological state on the rehabilitation period, and perform psychological guidance on the target child according to the influence coefficient to obtain a psychological guidance plan; A rehabilitation training module, used to obtain the interests and hobbies of the target child, and to construct a personalized rehabilitation training program for the target child based on the interests and hobbies; The auxiliary rehabilitation management module is used to construct an auxiliary rehabilitation program for the target child based on the pediatric rehabilitation training program and the psychological guidance program, and to perform auxiliary rehabilitation management of the target child based on the auxiliary rehabilitation program.

2. The intelligent pediatric cardiovascular rehabilitation auxiliary system according to claim 1, characterized in that: The step of extracting cardiovascular features from the imaging examination data comprises: Preprocessing the image inspection data to obtain a preprocessed image; The cardiovascular structure of the preprocessed image is identified, and the preprocessed image is segmented according to the cardiovascular structure to obtain an image of interest.

3. The intelligent pediatric cardiovascular rehabilitation auxiliary system according to claim 2, characterized in that: The step of extracting cardiovascular features from the imaging examination data comprises: Performing morphological analysis on the image of interest to obtain morphological features, and performing continuous frame analysis on the image of interest to obtain myocardial motion features; The blood flow velocity and blood flow pattern of the image of interest are analyzed.

4. The intelligent pediatric cardiovascular rehabilitation auxiliary system according to claim 3, characterized in that: The step of extracting cardiovascular features from the imaging examination data comprises: determining the hemodynamic characteristics of the image of interest according to the blood flow velocity and the blood flow pattern; The cardiovascular characteristics of the image of interest are determined according to the myocardial motion characteristics, the morphological characteristics, and the hemodynamic characteristics.

5. The intelligent pediatric cardiovascular rehabilitation auxiliary system according to claim 4, characterized in that: The step of constructing the three-dimensional cardiovascular structure of the target child according to the cardiovascular characteristics includes: Constructing a cardiovascular framework of the target child according to the morphological features corresponding to the cardiovascular features; The cardiovascular movement pattern of the target child is determined according to the myocardial movement characteristics corresponding to the cardiovascular characteristics.

6. The intelligent pediatric cardiovascular rehabilitation auxiliary system according to claim 5, characterized in that: The step of extracting cardiovascular features from the imaging examination data comprises: Determining blood physical parameters of the target child, and determining cardiovascular dynamic parameters of the target child according to the blood physical parameters and the hemodynamic characteristics corresponding to the cardiovascular characteristics; The cardiovascular three-dimensional structure of the target child is constructed according to the cardiovascular dynamic parameters, the cardiovascular motion law and the cardiovascular framework.

7. The intelligent pediatric cardiovascular rehabilitation auxiliary system according to claim 1, characterized in that: The step of constructing a health status analysis algorithm for the target child based on the basic information, the experimental test data, and the cardiovascular three-dimensional structure includes: Extracting relevant historical data of the target child according to the basic information, the experimental test data and the cardiovascular three-dimensional structure; Determine historical data features of the relevant historical data, and perform dimension reduction on the relevant historical data according to the historical data features to obtain dimension-reduced data.

8. The intelligent pediatric cardiovascular rehabilitation auxiliary system according to claim 7, characterized in that: The step of extracting cardiovascular features from the imaging examination data comprises: Determining an algorithm framework and a loss function for the target child; Determining an initial algorithm for the target child according to the algorithm framework and the loss function; Using the dimension-reduced data to train the initial algorithm to obtain a trained algorithm; 9. The intelligent pediatric cardiovascular rehabilitation auxiliary system according to claim 8, characterized in that: The step of extracting cardiovascular features from the imaging examination data comprises: Verifying the algorithm performance of the trained algorithm, and when the algorithm performance does not meet a preset algorithm performance standard, adjusting the algorithm parameters of the trained algorithm to obtain an adjusted algorithm; The adjusted algorithm performance of the adjusted algorithm is verified, and when the adjusted algorithm performance meets the preset algorithm performance standard, the adjusted algorithm is used as the health status analysis algorithm of the target child.

10. An intelligent pediatric cardiovascular rehabilitation auxiliary system, characterized in that: Used to perform the intelligent pediatric cardiovascular rehabilitation auxiliary method according to any one of claims 1 to 9, the method comprising: Obtaining basic information and examination data of the target child, wherein the examination data includes: experimental test data and imaging examination data, extracting cardiovascular features of the imaging examination data, and constructing a cardiovascular three-dimensional structure of the target child based on the cardiovascular features; constructing a health status analysis algorithm for the target child according to the basic information, the experimental test data and the cardiovascular three-dimensional structure, determining the cardiovascular status of the target child according to the health status analysis algorithm, and calculating the health risk coefficient of the target child according to the cardiovascular status using a preset health risk probability algorithm; Monitoring the facial expression of the target child, performing micro-expression analysis on the target child according to the cardiovascular state, the health risk and the facial expression to obtain a psychological state, analyzing the rehabilitation period of the target child according to the psychological state, calculating the influence coefficient of the psychological state on the rehabilitation period, and providing psychological guidance to the target child according to the influence coefficient to obtain a psychological guidance plan; Acquire the interests and hobbies of the target child, and construct a personalized rehabilitation training program for the target child based on the interests and hobbies; According to the pediatric rehabilitation training program and the psychological guidance program, an auxiliary rehabilitation program for the target child is constructed, and according to the auxiliary rehabilitation program, auxiliary rehabilitation management of the target child is performed.

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