Chronic heart failure intelligent evaluation and intervention treatment system

Abstract

The invention discloses an intelligent assessment and intervention treatment system for chronic heart failure. The system comprises an intelligent terminal and a cloud platform, the intelligent terminal comprises a user side; the user side comprises a daily micro-test module, an intervention treatment module, a health assessment module and a data display module; the cloud platform comprises a data transmission module, a data processing module and a data storage module; the data transmission module is used for data interaction between the cloud platform and the intelligent terminal; the data processing module is used for processing data transmitted by the intelligent terminal; according to the method, intervention treatment is performed on the user in modes of respiratory training, six-point walking, grip training and the like, heart function health monitoring data of multiple dimensions of the user are synthesized, the heart function health condition of the user is evaluated based on a fuzzy comprehensive evaluation model of an analytic hierarchy process, and a heart function health evaluation result of the user is quantified in a heart function index form; and the heart function health state of the user is reflected concisely and clearly.

Description

Technical Field

[0001] The present invention relates to the technical field of health management of chronic heart failure, and in particular to an intelligent evaluation and intervention treatment system for chronic heart failure. Background Art

[0002] Chronic heart failure is a group of clinical syndromes caused by myocardial damage due to any reasons such as myocardial infarction, cardiomyopathy, hemodynamic overload, inflammation, etc., which causes changes in myocardial structure and function, and finally leads to poor ventricular pumping or filling function, which cannot meet the body's metabolic needs. Drug therapy, as the main method for the treatment of chronic heart failure, has brought benefits to the majority of patients, but it cannot completely control the progression of the disease in patients with chronic heart failure. Due to the neglect of early rehabilitation of patients and rehabilitation treatment after discharge, it is impossible to improve patients' cardiopulmonary function, exercise capacity and quality of life, making patients prone to dyspnea, fatigue and other phenomena, which in turn leads to high recurrence and re-hospitalization rates.

[0003] At present, in terms of health management of chronic heart failure, there is a lack of systematic health management tools for monitoring, health assessment, disease warning and personalized intervention of patients with chronic heart failure, making it difficult to improve patients' health status and quality of life. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent assessment and intervention treatment system for chronic heart failure, including an intelligent terminal and a cloud platform.

[0005] The intelligent terminal includes a user terminal.

[0006] The user terminal includes a daily micro-test module, an intervention treatment module, a health assessment module, and a data display module.

[0007] The daily micro-test module performs daily self-test evaluation of the factors affecting cardiac function rehabilitation on the user to obtain self-test data of the factors affecting cardiac function rehabilitation. The factors affecting cardiac function rehabilitation include emotions, exercise volume, stress, appetite, and sleep.

[0008] The intervention therapy module selects intervention therapy items based on the self-test data of the factors affecting cardiac function rehabilitation, performs intervention therapy on the user, and promotes the cardiac function rehabilitation of the user. The intervention therapy items include cardiac function special intervention therapy items and auxiliary intervention therapy items.

[0009] The health assessment module performs a heart function health assessment on the user to obtain a heart function health evaluation result.

[0010] The data display module is used to display user data.

[0011] The cloud platform includes a data transmission module, a data processing module, and a data storage module.

[0012] The data transmission module is used for data interaction between the cloud platform and the intelligent terminal.

[0013] The data processing module is used to process the data transmitted by the intelligent terminal.

[0014] The data storage module is used to store data of the smart terminal and the cloud platform.

[0015] Furthermore, the intelligent terminal also includes a consultant terminal.

[0016] The consultant terminal includes a task planning module, a task evaluation module, a user consultation module, a suggestion publishing module, a my customer service module, a consultant information reminder module, and a personal center module.

[0017] The task planning module is used to formulate intervention treatment programs, as well as frequency and duration for users.

[0018] The task plan making module includes a project selection module, a frequency selection module, a duration selection module, and a precautions module.

[0019] The project selection module is used to select intervention treatment projects in the intervention treatment module and formulate an intervention task plan.

[0020] The intervention therapy items include cardiac function-specific intervention therapy items and auxiliary intervention therapy items. The cardiac function-specific intervention therapy items include breathing training intervention therapy items, grip strength training items and / or six-minute walking training items. The auxiliary intervention therapy items include heart rate variability intervention therapy items, blood pressure intervention therapy items, weight intervention therapy items, diet intervention therapy items, medication intervention therapy items, and exercise intervention therapy items.

[0021] The frequency selection module is used to select the frequency of intervention task execution and the execution time of the intervention task.

[0022] The duration selection module is used to formulate the number of time periods required for executing a user task.

[0023] The precautions module is used to explain the precautions during the execution of each task.

[0024] The task evaluation module allows the consultant to conduct text evaluation and grade evaluation on the tasks performed by the user.

[0025] The user consultation module is used by consultants to answer questions queried by users.

[0026] The advice publishing module is used by the consultant to publish advice to the user.

[0027] The my customer module includes a new customer management module, a customer complaint module, a sequence arrangement module, and a customer details module.

[0028] The new client management module reminds consultants to formulate and manage tasks for new clients.

[0029] The customer complaint module checks the customer's complaint content and provides a solution.

[0030] The order arrangement module arranges the order of customers, including but not limited to the order of time and the order of importance.

[0031] The customer details module is used to view the customer's personal information, cardiac function index, current task status and task details, select the customer's importance, and modify the customer's note name.

[0032] The consultant information reminder module is used to remind consultants that new messages have been delivered, and the new message types include task completion reminders, consulting information reminders, consultant addition reminders, and customer complaint reminders.

[0033] The personal center module is used to register a career, view and edit personal information.

[0034] Furthermore, the intelligent terminal also includes an integrated module.

[0035] The integrated module includes a switching module.

[0036] The switching module is used to switch between the user end and the consultant end.

[0037] The integrated module is used to encapsulate the user end, the advisor end, and the switching module.

[0038] Furthermore, the user end and the consultant end exist on different intelligent terminals respectively.

[0039] The user end and the consultant end both operate independently and communicate with the cloud platform respectively.

[0040] Furthermore, the user terminal also includes a my consultant module, a history module, and a signature setting module.

[0041] The My Consultant module includes a consultant details module, an add consultant module, a consultation desk module, a My Task module, a My Suggestion module, a user information reminder module, and a task evaluation module.

[0042] The consultant details module includes a consultant personal information module, a consultant importance level module, and a service complaint module.

[0043] The consultant personal information module stores consultant personal information, including but not limited to the consultant's name, title, place of practice, personal profile, and certification status.

[0044] The consultant importance level module is used to evaluate the consultant's importance level, including four levels: very important, important, generally important, and unimportant.

[0045] The service complaint module allows users to file complaints against consultants.

[0046] The add consultant module is used to add consultants, search for consultants, and view the consultant's personal information details. When searching for consultants, the search keywords include name, region, title, and certification status.

[0047] The consultation desk module is used to consult a consultant about health-related issues and view the consultant's consultation responses. The consultation method includes one or more combinations of text, pictures, voice, video, telephone, etc.

[0048] The My Task module is used to display the user's tasks for today, including the completion time of the task, the person who created the task, and the number of tasks.

[0049] The My Advice module is used to view the advice given by the advisor.

[0050] The user information reminder module is used to display reminder information sent by the consultant, and the reminder information includes task reminders, task evaluation reminders, consultation reply reminders, and my suggestion reminders.

[0051] The task evaluation module is used to view the consultant's evaluation of the tasks he or she has completed, including grade rating and text evaluation.

[0052] The history record module is used to display the user's daily real-time dynamic changes in cardiac function index and its changing trend.

[0053] The signature setting module is used to display the user's avatar, nickname and the user's personal signature.

[0054] Furthermore, the health assessment module also includes a health data collection module, a heart function index module, and an assessment result and sharing module.

[0055] The health data collection module includes a heart function health basic information collection module, a disease history collection module, a quality of life collection module, an anxiety status collection module, a depression status collection module, and a sleep quality collection module.

[0056] The cardiac function health basic information collection module is used to collect the user's age, gender, height, weight, systolic blood pressure, diastolic blood pressure, heart rate, six-minute walking distance, grip strength, grip strength-weight index, ejection fraction, B-type natriuretic peptide, and heart rate variability information.

[0057] The medical history collection module is used to collect the medical history data of the user, including heart failure classification and heart failure staging.

[0058] The quality of life collection module collects the user's quality of life status through the Minnesota Heart Failure Quality of Life Questionnaire.

[0059] The anxiety status collection module collects the user's anxiety status through the Generalized Anxiety Scale (GAD-7).

[0060] The depression status collection module collects the user's depression status through the Self-Rating Depression Questionnaire (PHQ-9).

[0061] The sleep quality collection module collects the user's sleep quality status through the Pittsburgh Sleep Quality Index Scale.

[0062] The data collected by the health data collection module is transmitted to the data processing module through the data transmission module to obtain the user's cardiac function health risk assessment results and cardiac function index data.

[0063] The cardiac function index module calls and displays the user's cardiac function index, level, development trend and prevention and control priorities based on the evaluation data processed by the data processing module.

[0064] The evaluation result and sharing module includes a self-assessment result module and a self-assessment sharing module.

[0065] The self-assessment result module includes a module for people with excellent cardiac function, a module for people with good cardiac function, a module for people with medium cardiac function, a module for people with poor cardiac function, and a module for people with extremely poor cardiac function.

[0066] The self-assessment sharing module is used for users to share self-assessment results.

[0067] The daily micro-test module includes a mood assessment module, an exercise assessment module, a stress assessment module, an appetite assessment module, and a sleep assessment module.

[0068] The emotion evaluation module allows the user to evaluate the emotion in five levels according to the user's mood on that day, and the five levels include very good, good, average, poor, and very poor.

[0069] The exercise volume evaluation module allows the user to perform a five-level evaluation of the exercise volume according to the user's exercise status on that day, and the five-level evaluation includes a lot, more, normal, less, and very little.

[0070] The stress assessment module allows the user to conduct a five-level assessment of stress based on the user's stress status on the day, and the five-level assessment includes very high, relatively high, normal, less, and very little.

[0071] The appetite assessment module allows the user to conduct a five-level assessment of appetite according to his / her appetite status on that day, and the five-level assessment includes very good, good, average, poor, and very poor.

[0072] The sleep evaluation module allows the user to conduct a five-level evaluation of sleep according to his / her sleep status on that day, and the five-level evaluation includes a lot, more, normal, less, and very little.

[0073] Furthermore, the intervention treatment module includes a cardiac function-specific intervention treatment module and a conventional auxiliary intervention treatment module.

[0074] The cardiac function-specific intervention treatment module includes a breathing training module.

[0075] The breathing training module is used for users to perform breathing training intervention therapy.

[0076] The cardiac function-specific intervention therapy module also includes a grip strength training module and / or a six-minute walking module.

[0077] The grip strength training module is used for users to perform grip strength training intervention treatment.

[0078] The six-minute walking module is used for users to perform six-minute walking training intervention therapy.

[0079] The conventional auxiliary intervention treatment module includes a heart rate variability module, a blood pressure module, a weight module, a diet module, a medication module, and an exercise module.

[0080] The heart rate variability module is used to record the user's heart rate variability and the changing trend of the heart rate variability, and to manage the user's heart rate variability.

[0081] The blood pressure module is used to record the user's high blood pressure, low blood pressure, heart rate and recent change trends, and to manage the user's blood pressure.

[0082] The weight module is used to record the user's weight and weight change trend, and to manage the user's weight.

[0083] The diet module is used to record the user's dietary combinations, dietary intake, dietary habits, and to perform dietary management on the user.

[0084] The medication module is used to record the user's medication status and manage the user's medication.

[0085] The exercise module is used to record the user's exercise status and corresponding exercise level, and to perform exercise management on the user.

[0086] Furthermore, the data processing module includes a cardiac function health risk assessment module and a cardiac function index calculation module.

[0087] The cardiac function health risk assessment module includes a data preprocessing module, a weight configuration module, and a risk level assessment module.

[0088] The data preprocessing module performs normalization and standardization processing on the health data.

[0089] The weight configuration module determines the indicator weights of various health indicators corresponding to each level.

[0090] The risk level assessment module includes a membership determination module, a hierarchical vector assessment module, and a comprehensive vector assessment module.

[0091] The membership determination module determines the membership value of each health indicator relative to each evaluation level according to the corresponding health data.

[0092] The hierarchical vector evaluation module evaluates the evaluation level vectors of the corresponding health indicators in each hierarchy from low to high according to the membership values ​​and indicator weights of the corresponding health indicators.

[0093] The calculation formula of the level vector is as follows:

[0094]

[0095] Among them, (a1, a2, …, a n ) is the indicator weight corresponding to each health indicator, r ij For health indicators ij Regarding the membership value of the evaluation set, is the fuzzy synthesis operator. B is the level vector.

[0096] The comprehensive vector evaluation module determines the comprehensive level vector according to the comprehensive evaluation level vectors and indicator weights corresponding to each high-level health indicator, and evaluates the health status of cardiac function according to the comprehensive level vector.

[0097] The cardiac function index calculation module evaluates the health index of each health indicator in each level from low to high according to the membership value and indicator weight of the corresponding health indicator, and calculates the cardiac function index according to the health index and indicator weight of each health indicator in the high level.

[0098] The cardiac function index is calculated as follows:

[0099]

[0100] Among them, T i is the health index corresponding to the low-level health indicators that affect the health indicators, w i is the indicator weight of the low-level health indicator. HFI is the heart function index.

[0101] Furthermore, the weight configuration module includes a health index grading module, a judgment matrix construction module, a weight vector calculation module, a consistency verification module, an index weight determination module, and a matrix correction module.

[0102] The health index grading module determines the health index corresponding to each level, including the primary health index and the secondary health index.

[0103] Primary health indicator H = {mental health, living conditions, cardiovascular health, muscle strength}.

[0104] Secondary health index A = {A1, A2, A3, A4}. A1 = {depression, anxiety}, A2 = {sleep quality, quality of life}, A3 = {cardiac function classification, six-minute walking distance, resting heart rate, systolic blood pressure, diastolic blood pressure, ejection fraction, B-type natriuretic peptide, heart rate variability}, A4 = {grip strength, grip strength-weight index}.

[0105] The judgment matrix construction module constructs a plurality of judgment matrices according to the importance of each of the health indicators.

[0106] The judgment matrix is ​​as follows:

[0107]

[0108] Where P is the judgment matrix; a 11 , ..., a nn The importance of health indicators.

[0109] The weight vector calculation module calculates the maximum eigenvalue λ of each judgment matrix respectively max , and the weight vector of the health indicators corresponding to each level in the judgment matrix. max Satisfy Pω=λ max ω. The weight vector is the normalized eigenvector ω of each element in the judgment matrix k . The eigenvector ω k Used to represent the importance of an indicator to the indicator on the previous level.

[0110] The consistency check module performs consistency check on each judgment matrix according to the maximum eigenvalue.

[0111] The indicator weight determination module determines the indicator weight corresponding to each health indicator according to the weight vector of the health indicator corresponding to each level in the judgment matrix that passes the consistency test.

[0112] The matrix correction module corrects the judgment matrix that fails the consistency check, recalculates the maximum eigenvalue and weight vector of the corrected judgment matrix, and re-performs the consistency check until the judgment matrix meets the consistency requirement.

[0113] Furthermore, the health index corresponding to the mental health indicators is as follows:

[0114] S A1 =T B1 *w B1 +T B2 *w B2 (4)

[0115] In the formula, S A1 is the health index corresponding to the mental health indicator; w B1 、w B2 is the weight coefficient; T B1 , T B2 Health index corresponding to different mental health indicators;

[0116] The health index corresponding to the living status indicator is as follows:

[0117] S A2 =T B3 *w B3 +T B4 *w B4 (5)

[0118] In the formula, S A2 is the health index corresponding to the living status indicator; w B3 、w B4 is the weight coefficient; T B3 , T B4 Health index for different life status indicators;

[0119] The health index corresponding to the cardiovascular health indicators is as follows:

[0120] S A3 =T B5 *w B5+ T B6 *w B6+ T B7 *w B7+ T B8 *w B8+ T B9 *w B9+ T B10 *w B10+ T B11 *w B11+ T B12 *w B12 (6)

[0121] In the formula, S A3 is the health index corresponding to the cardiovascular health index; w B5 、w B6 、w B7 、w B8、w B9 、w B10 、w B11 、w B12 is the weight coefficient; T B5 , T B6 , T B7 , T B8 , T B9 , T B10 , T B11 , T B12 Health index for different cardiovascular health indicators;

[0122] The fitness index corresponding to the muscle strength index is as follows:

[0123] S A4 =T B13 *w B13 +T B14 *w B14 (7)

[0124] In the formula, S A4 is the health index corresponding to the muscle strength index; w B13 、w B14 is the weight coefficient; T B13 , T B14 A fitness index for different muscle strength indicators.

[0125] The technical effect of the present invention is unquestionable. The present invention conducts health management on patients with chronic heart failure through a digital system, adopts intervention treatment methods such as breathing training, six-minute walking, and grip strength training, integrates the patient's cardiac function health monitoring data in multiple dimensions, and evaluates the patient's cardiac function health status based on the fuzzy comprehensive evaluation model of the hierarchical analysis method. The patient's cardiac function health assessment results are quantified in the form of a cardiac function index, which clearly and concisely reflects the patient's cardiac function health status. At the same time, it has a consultant end to increase communication between doctors and patients, and arranges personalized tasks according to the evaluation results, to assist users in achieving efficient rehabilitation treatment effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0126] Figure 1 It is a framework diagram of the user end system of the present invention;

[0127] Figure 2 The framework diagram of the consultant end system of the present invention;

[0128] Figure 3 It is the integrated module framework diagram of the present invention;

[0129] Figure 4 It is a framework diagram of the intelligent terminal of the present invention;

[0130] Figure 5 It is a data processing module framework diagram of the present invention;

[0131] Figure 6 It is the framework diagram of the daily micro-test module of the present invention;

[0132] Figure 7 This is a framework diagram of the intervention treatment module of the present invention;

[0133] Figure 8 It is a framework diagram of the health assessment module of the present invention;

[0134] Fig. 9 This is the framework diagram of my advisor module of the present invention;

[0135] Fig.10 Formulate a module framework diagram for the task plan of the present invention;

[0136] Fig.11 This is a framework diagram of the cardiac function health risk assessment module of the present invention;

[0137] Fig.12 This is a framework diagram of the cardiac function special intervention treatment module of the present invention;

[0138] Fig.13 This is a framework diagram of the conventional auxiliary intervention treatment module of the present invention;

[0139] Fig.14 This is a framework diagram of the health data collection module of the present invention;

[0140] Fig.15 This is a weight configuration module framework diagram of the present invention;

[0141] Fig.16 It is a framework diagram of the risk level assessment module of the present invention;

[0142] Fig.17 A flow chart of the weight configuration method of the present invention;

[0143] Fig.18 A flow chart for determining the comprehensive evaluation level vector of the present invention;

[0144] Fig.19 A flow chart for determining the comprehensive evaluation index of the present invention. DETAILED DESCRIPTION

[0145] The present invention is further described below in conjunction with the embodiments, but it should not be understood that the above subject matter of the present invention is limited to the following embodiments. Without departing from the above technical ideas of the present invention, various substitutions and changes are made according to the common technical knowledge and customary means in the art, which should all be included in the protection scope of the present invention.

[0146] Embodiment 1:

[0147] See also Figures 1 to 19, a chronic heart failure intelligent assessment and intervention treatment system, including an intelligent terminal 1 and a cloud platform 2.

[0148] The intelligent terminal 1 includes a user terminal 11 .

[0149] The user terminal 11 includes a daily micro-test module 111 , an intervention treatment module 112 , a health assessment module 113 , and a data display module 114 .

[0150] The daily micro-test module 111 performs daily self-test evaluation of the factors affecting cardiac function rehabilitation on the user to obtain self-test data of the factors affecting cardiac function rehabilitation. The factors affecting cardiac function rehabilitation include emotions, exercise, stress, appetite, and sleep.

[0151] The intervention therapy module 112 selects intervention therapy items based on the self-test data of the factors affecting cardiac function rehabilitation, performs intervention therapy on the user, and promotes the cardiac function rehabilitation of the user. The intervention therapy items include cardiac function-specific intervention therapy items and auxiliary intervention therapy items.

[0152] The health assessment module 113 performs a heart function health assessment on the user to obtain a heart function health evaluation result.

[0153] The data display module 114 is used to display user data.

[0154] The cloud platform 2 includes a data transmission module 21 , a data processing module 22 , and a data storage module 23 .

[0155] The data transmission module 21 is used for data interaction between the cloud platform 2 and the intelligent terminal 1 .

[0156] The data processing module 22 is used to process the data transmitted by the smart terminal 1 .

[0157] The data storage module 23 is used to store data of the smart terminal 1 and the cloud platform 2 .

[0158] Embodiment 2:

[0159] A system for intelligent assessment and intervention treatment of chronic heart failure, the technical content of which is the same as that of Example 1, and further, the intelligent terminal 1 also includes a consultant terminal 12.

[0160] The consultant terminal 12 includes a task plan formulation module 121 , a task evaluation module 122 , a user consultation module 123 , a suggestion release module 124 , a my customer service module 125 , a consultant information reminder module 126 , and a personal center module 127 .

[0161] The task plan making module 121 is used to make intervention treatment programs, as well as frequency and duration for the user.

[0162] The task plan making module 121 includes a project selection module 1211 , a frequency selection module 1212 , a duration selection module 1213 , and a precaution module 1214 .

[0163] The project selection module 1211 is used to select intervention treatment projects in the intervention treatment module 112 and formulate an intervention task plan.

[0164] The intervention therapy items include cardiac function-specific intervention therapy items and auxiliary intervention therapy items. The cardiac function-specific intervention therapy items include breathing training intervention therapy items, grip strength training items and / or six-minute walking training items. The auxiliary intervention therapy items include heart rate variability intervention therapy items, blood pressure intervention therapy items, weight intervention therapy items, diet intervention therapy items, medication intervention therapy items, and exercise intervention therapy items.

[0165] The frequency selection module 1212 is used to select the frequency of intervention task execution and the intervention task execution time.

[0166] The duration selection module 1213 is used to determine the number of time periods required for executing a user task.

[0167] The precautions module 1214 is used to explain the precautions during the execution of each task.

[0168] The task evaluation module 122 allows the consultant to perform text evaluation and grade evaluation on the task performed by the user.

[0169] The user consultation module 123 is used by consultants to answer questions posed by users.

[0170] The advice publishing module 124 is used by the consultant to publish advice to the user.

[0171] The my customer module 125 includes a new customer management module, a customer complaint module, a sequence arrangement module, and a customer details module.

[0172] The new client management module reminds consultants to formulate and manage tasks for new clients.

[0173] The customer complaint module checks the customer's complaint content and provides a solution.

[0174] The order arrangement module arranges the order of customers, including but not limited to the order of time and the order of importance.

[0175] The customer details module is used to view the customer's personal information, cardiac function index, current task status and task details, select the customer's importance, and modify the customer's note name.

[0176] The consultant information reminder module 126 is used to remind the consultant that new messages have been delivered, and the new message types include task completion reminders, consulting information reminders, consultant addition reminders, and customer complaint reminders.

[0177] The personal center module 127 is used for job registration, viewing and editing personal information.

[0178] Embodiment 3:

[0179] A system for intelligent assessment and intervention treatment of chronic heart failure, the technical content of which is the same as any one of embodiments 1-2, and further, the intelligent terminal 1 also includes an integrated module 13.

[0180] The integrated module includes a switching module 131 .

[0181] The switching module 131 is used to switch between the user terminal 11 and the advisor terminal 12 .

[0182] The integration module 13 is used to encapsulate the user terminal 11 , the consultant terminal 12 , and the switching module 131 .

[0183] Embodiment 4:

[0184] A system for intelligent assessment and intervention treatment of chronic heart failure, the technical content of which is the same as any one of embodiments 1-3, and further, the user terminal 11 and the consultant terminal 12 are respectively present on different intelligent terminals 1.

[0185] The user terminal 11 and the consultant terminal 12 both operate independently and communicate with the cloud platform 2 respectively.

[0186] Embodiment 5:

[0187] A chronic heart failure intelligent assessment and intervention treatment system, the technical content of which is the same as any one of embodiments 1-4. Furthermore, the user terminal 11 also includes a my consultant module 115, a history record module 116, and a signature setting module 117.

[0188] The my consultant module 115 includes a consultant details module 1151 , an add consultant module 1152 , a consultation desk module 1153 , a my task module 1154 , a my suggestion module 1155 , a user information reminder module 1156 , and a task evaluation module 1157 .

[0189] The consultant details module 1151 includes a consultant personal information module, a consultant importance level module, and a service complaint module.

[0190] The consultant personal information module stores consultant personal information, including but not limited to the consultant's name, title, place of practice, personal profile, and certification status.

[0191] The consultant importance level module is used to evaluate the consultant's importance level, including four levels: very important, important, generally important, and unimportant.

[0192] The service complaint module allows users to file complaints against consultants.

[0193] The add consultant module 1152 is used to add consultants, search for consultants, and view the personal information details of consultants. When searching for consultants, the keywords for search include name, region, title, and certification status.

[0194] The consultation desk module 1153 is used to consult a consultant about health issues and view the consultant's consultation response. The consultation method includes one or more combinations of text, pictures, voice, video, telephone, etc.

[0195] The my task module 1154 is used to display the user's today's tasks, including the completion time of the task, the person who created the task, and the number of tasks.

[0196] The My Suggestions module 1155 is used to view the suggestions given by the consultant.

[0197] The user information reminder module 1156 is used to display reminder information sent by the consultant, and the reminder information includes task reminders, task evaluation reminders, consultation reply reminders, and my suggestion reminders.

[0198] The task evaluation module 1157 is used to view the consultant's evaluation of the tasks he or she has completed, including grade rating and text evaluation.

[0199] The history record module 116 is used to display the user's daily real-time dynamic changes in cardiac function index and its changing trend.

[0200] The signature setting module 117 is used to display the user's avatar, nickname and the user's personal signature.

[0201] Embodiment 6:

[0202] A chronic heart failure intelligent assessment and intervention treatment system, the technical content of which is the same as any one of Examples 1-5. Furthermore, the health assessment module 113 also includes a health data collection module 1131, a cardiac function index module 1132, and an assessment result and sharing module 1133.

[0203] The health data collection module 1131 includes a heart function health basic information collection module 11311 , a disease history collection module 11312 , a quality of life collection module 11313 , an anxiety status collection module 11314 , a depression status collection module 11315 , and a sleep quality collection module 11316 .

[0204] The cardiac function health basic information collection module 11311 is used to collect the user's age, gender, height, weight, systolic blood pressure, diastolic blood pressure, heart rate, six-minute walking distance, grip strength, grip strength-weight index, ejection fraction, B-type natriuretic peptide, and heart rate variability information.

[0205] The medical history collection module 11312 is used to collect the user's medical history data, including heart failure classification and heart failure staging.

[0206] The quality of life collection module 11313 collects the user's quality of life status through the Minnesota Heart Failure Quality of Life Questionnaire.

[0207] The anxiety status collection module 11314 collects the user's anxiety status through the Generalized Anxiety Scale (GAD-7).

[0208] The depression status collection module 11315 collects the user's depression status through the Self-Rating Depression Questionnaire (PHQ-9).

[0209] The sleep quality collection module 11316 collects the user's sleep quality status through the Pittsburgh Sleep Quality Index Scale.

[0210] The data collected by the health data collection module 1131 is transmitted to the data processing module 22 through the data transmission module 21 to obtain the user's cardiac function health risk assessment results and cardiac function index data.

[0211] The cardiac function index module 1132 calls and displays the user's cardiac function index, level, development trend and prevention and control priorities based on the evaluation data processed by the data processing module 22.

[0212] The evaluation result and sharing module 1133 includes a self-assessment result module and a self-assessment sharing module.

[0213] The self-assessment result module includes a module for people with excellent cardiac function, a module for people with good cardiac function, a module for people with medium cardiac function, a module for people with poor cardiac function, and a module for people with extremely poor cardiac function.

[0214] The self-assessment sharing module is used for users to share self-assessment results.

[0215] The daily micro-test module 111 includes a mood assessment module 1111 , an exercise assessment module 1112 , a stress assessment module 1113 , an appetite assessment module 1114 , and a sleep assessment module 1115 .

[0216] The emotion evaluation module 1111 allows the user to evaluate the emotion in five levels according to his / her mood on that day, and the five levels include very good, good, average, poor, and very poor.

[0217] The exercise volume evaluation module 1112 allows the user to perform a five-level evaluation on the exercise volume according to the user's exercise status on that day, and the five-level evaluation includes a lot, more, normal, less, and very little.

[0218] The stress assessment module 1113 allows the user to assess stress at five levels according to his or her stress status on that day, and the five levels include very high, relatively high, normal, less, and very little.

[0219] The appetite assessment module 1114 allows the user to conduct a five-level assessment of appetite according to his / her appetite status on that day, wherein the five-level assessment includes very good, good, average, poor, and very poor.

[0220] The sleep evaluation module 1115 allows the user to perform a five-level evaluation of sleep according to his / her sleep condition on that day, wherein the five levels of evaluation include a lot, more, normal, less, and very little.

[0221] Embodiment 7:

[0222] A system for intelligent assessment and intervention treatment of chronic heart failure, the technical content of which is the same as any one of Examples 1-6, and further, the intervention treatment module 112 includes a cardiac function-specific intervention treatment module 1121 and a conventional auxiliary intervention treatment module 1122.

[0223] The cardiac function-specific intervention treatment module 1121 includes a breathing training module 11211 .

[0224] The breathing training module 11211 is used for the user to perform breathing training intervention therapy.

[0225] The cardiac function-specific intervention treatment module 1121 also includes a grip strength training module 11212 and / or a six-minute walking module 11213 .

[0226] The grip strength training module 11212 is used for users to perform grip strength training intervention treatment.

[0227] The six-minute walking module 11213 is used for users to perform six-minute walking training intervention treatment.

[0228] The conventional auxiliary intervention treatment module 1122 includes a heart rate variability module 11221 , a blood pressure module 11222 , a weight module 11223 , a diet module 11224 , a medication module 11225 , and an exercise module 11226 .

[0229] The heart rate variability module 11221 is used to record the user's heart rate variability and the changing trend of the heart rate variability, and to manage the user's heart rate variability.

[0230] The blood pressure module 11222 is used to record the user's high blood pressure, low blood pressure, heart rate and recent change trends, and to manage the user's blood pressure.

[0231] The weight module 11223 is used to record the user's weight and weight change trend, and to manage the user's weight.

[0232] The diet module 11224 is used to record the user's dietary combinations, dietary intake, dietary habits, and to perform dietary management on the user.

[0233] The medication module 11225 is used to record the user's medication status and manage the user's medication.

[0234] The exercise module 11226 is used to record the user's exercise status and corresponding exercise level, and perform exercise management on the user.

[0235] Embodiment 8:

[0236] A system for intelligent assessment and intervention treatment of chronic heart failure, the technical content of which is the same as any one of embodiments 1-7, and further, the data processing module 22 includes a cardiac function health risk assessment module 221 and a cardiac function index calculation module 222.

[0237] The cardiac function health risk assessment module 221 includes a data preprocessing module 2211 , a weight configuration module 2212 , and a risk level assessment module 2213 .

[0238] The data preprocessing module 2211 performs normalization and standardization processing on the health data.

[0239] The weight configuration module 2212 determines the indicator weights of various health indicators corresponding to each level.

[0240] The risk level assessment module 2213 includes a membership determination module 22131 , a hierarchical vector assessment module 22132 , and a comprehensive vector assessment module 22133 .

[0241] The membership determination module 22131 determines the membership value of each health indicator relative to each evaluation level according to the corresponding health data.

[0242] The hierarchical vector evaluation module 22132 evaluates the evaluation level vectors of the corresponding health indicators in each hierarchy from low to high according to the membership values ​​and indicator weights of the corresponding health indicators.

[0243] The calculation formula of the level vector is as follows:

[0244]

[0245] Among them, (a1, a2, …, a n ) is the indicator weight corresponding to each health indicator, r ij For health indicators ij Regarding the membership value of the evaluation set, is the fuzzy synthesis operator. B is the level vector.

[0246] The comprehensive vector evaluation module 22133 determines the comprehensive level vector according to the comprehensive evaluation level vectors and indicator weights corresponding to each high-level health indicator, and evaluates the heart function health status according to the comprehensive level vector.

[0247] The cardiac function index calculation module 222 evaluates the health index of each health indicator in each level from low to high according to the membership value and indicator weight of the corresponding health indicator, and calculates the cardiac function index according to the health index and indicator weight of each health indicator in the high level.

[0248] The cardiac function index is calculated as follows:

[0249]

[0250] Among them, T i is the health index corresponding to the low-level health indicators that affect the health indicators, w i is the indicator weight of the low-level health indicator. HFI is the heart function index.

[0251] Embodiment 9:

[0252] A system for intelligent assessment and intervention treatment of chronic heart failure, the technical content of which is the same as any one of Examples 1-8. Furthermore, the weight configuration module 2212 includes a health indicator grading module 22121, a judgment matrix construction module 22122, a weight vector calculation module 22123, a consistency verification module 22124, an indicator weight determination module 22125, and a matrix correction module 22126.

[0253] The health indicator grading module 22121 determines the health indicators corresponding to each level, including primary health indicators and secondary health indicators.

[0254] Primary health indicator H = {mental health, living conditions, cardiovascular health, muscle strength}.

[0255] Secondary health index A = {A1, A2, A3, A4}. A1 = {depression, anxiety}, A2 = {sleep quality, quality of life}, A3 = {cardiac function classification, six-minute walking distance, resting heart rate, systolic blood pressure, diastolic blood pressure, ejection fraction, B-type natriuretic peptide, heart rate variability}, A4 = {grip strength, grip strength-weight index}.

[0256] The judgment matrix construction module 22122 constructs a plurality of judgment matrices according to the importance of each of the health indicators.

[0257] The judgment matrix is ​​as follows:

[0258]

[0259] Where P is the judgment matrix; a 11 , ..., a nn The importance of health indicators.

[0260] The weight vector calculation module 22123 calculates the maximum eigenvalue λ of each judgment matrix respectively. max , and the weight vector of the health indicators corresponding to each level in the judgment matrix. max Satisfy Pω=λ max ω. The weight vector is the normalized eigenvector ω of each element in the judgment matrix k . The eigenvector ω k Used to represent the importance of an indicator to the indicator on the previous level.

[0261] The consistency check module 22124 performs consistency check on each judgment matrix according to the maximum eigenvalue.

[0262] The indicator weight determination module 22125 determines the indicator weight corresponding to each health indicator according to the weight vector of the health indicator corresponding to each level in the judgment matrix that passes the consistency check.

[0263] The matrix correction module 22126 corrects the judgment matrix that fails the consistency check, recalculates the maximum eigenvalue and weight vector of the corrected judgment matrix, and re-performs the consistency check until the judgment matrix meets the consistency requirement.

[0264] Embodiment 10:

[0265] A system for intelligent assessment and intervention treatment of chronic heart failure, the technical content of which is the same as any one of Embodiments 1-9, and further, the health index corresponding to the mental health index is as follows:

[0266] S A1 =T B1 *w B1 +T B2 *w B2 (4)

[0267] In the formula, S A1 is the health index corresponding to the mental health indicator; w B1 、w B2 is the weight coefficient; T B1 , T B2Health index corresponding to different mental health indicators;

[0268] The health index corresponding to the living status indicator is as follows:

[0269] S A2 =T B3 *w B3 +T B4 *w B4 (5)

[0270] In the formula, S A2 is the health index corresponding to the living status indicator; w B3 、w B4 is the weight coefficient; T B3 , T B4 Health index for different life status indicators;

[0271] The health index corresponding to the cardiovascular health indicators is as follows:

[0272] S A3 =T B5 *w B5+ T B6 *w B6+ T B7 *w B7+ T B8 *w B8+ T B9 *w B9+ T B10 *w B10+ T B11 *w B11+ T B12 *w B12 (6)

[0273] In the formula, S A3 is the health index corresponding to the cardiovascular health index; w B5 、w B6 、w B7 、w B8 、w B9 、w B10 、w B11 、w B12 is the weight coefficient; T B5 , T B6 , T B7 , T B8 , T B9 , T B10 , T B11 , T B12 Health index for different cardiovascular health indicators;

[0274] The fitness index corresponding to the muscle strength index is as follows:

[0275] S A4 =T B13 *w B13 +T B14 *w B14 (7)

[0276] In the formula, S A4 is the health index corresponding to the muscle strength index; w B13 、w B14 is the weight coefficient; T B13 , T B14 A fitness index for different muscle strength indicators.

[0277] Embodiment 11:

[0278] A chronic heart failure intelligent assessment and intervention treatment system comprises an intelligent terminal 1 and a cloud platform 2.

[0279] The intelligent terminal 1 includes a user terminal 11 .

[0280] The user terminal 11 includes a daily micro-test module 111 , an intervention treatment module 112 , a health assessment module 113 , and a data display module 114 .

[0281] The daily micro-test module 111 performs daily self-test evaluation of the factors affecting cardiac function rehabilitation on the user to obtain self-test data of the factors affecting cardiac function rehabilitation.

[0282] The intervention therapy module 112 performs intervention therapy on the user to promote the user's cardiac function recovery.

[0283] The health assessment module 113 performs a heart function health assessment on the user to obtain a heart function health evaluation result.

[0284] The data display module 114 is used to display user data.

[0285] The cloud platform 2 includes a data transmission module 21 , a data processing module 22 , and a data storage module 23 .

[0286] The data transmission module 21 is used for data interaction between the cloud platform 2 and the intelligent terminal 1 .

[0287] The data processing module 22 is used to process the data transmitted by the smart terminal 1 .

[0288] The data storage module 23 is used to store data of the smart terminal 1 and the cloud platform 2 .

[0289] The intelligent terminal 1 further includes a consultant terminal 12 .

[0290] The consultant terminal 12 includes a task plan formulation module 121 , a task evaluation module 122 , a user consultation module 123 , a suggestion release module 124 , a my customer service module 125 , a consultant information reminder module 126 , and a personal center module 127 .

[0291] The task plan making module 121 is used to make intervention treatment programs, as well as frequency and duration for the user.

[0292] The task plan making module 121 includes a project selection module 1211 , a frequency selection module 1212 , a duration selection module 1213 , and a precaution module 1214 .

[0293] The project selection module 1211 is used to select intervention treatment projects in the intervention treatment module 112 and formulate an intervention plan.

[0294] The frequency selection module 1212 is used to select the frequency of task execution, the days of the week, the times of the day, and the specific time to execute the task.

[0295] The duration selection module 1213 is used to determine the number of time periods required for executing a user task.

[0296] The precautions module 1214 is used to explain the precautions during the execution of each task.

[0297] The task evaluation module 122 allows the consultant to perform text evaluation and grade evaluation on the task performed by the user.

[0298] The user consultation module 123 is used by consultants to answer questions posed by users.

[0299] The advice publishing module 124 is used by the consultant to publish advice to the user.

[0300] The my customer module 125 includes a new customer management module, a customer complaint module, a sequence arrangement module, and a customer details module.

[0301] The new client management module reminds consultants to formulate and manage tasks for new clients.

[0302] The customer complaint module checks the customer's complaint content and provides a solution.

[0303] The order arrangement module arranges the order of customers, including but not limited to the order of time and the order of importance.

[0304] The customer details module is used to view the customer's personal information, cardiac function index, current task status and task details, select the customer's importance, and modify the customer's note name.

[0305] The consultant information reminder module 126 is used to remind the consultant that new messages have been delivered, and the new message types include task completion reminders, consulting information reminders, consultant addition reminders, and customer complaint reminders.

[0306] The personal center module 127 is used for job registration, viewing and editing personal information.

[0307] The intelligent terminal 1 further includes an integration module 13 .

[0308] The integrated module includes a switching module 131 .

[0309] The switching module 131 is used to switch between the user terminal 11 and the advisor terminal 12 .

[0310] The integration module 13 is used to encapsulate the user terminal 11 , the advisor terminal 12 , and the switching module 131 .

[0311] The user terminal 11 and the consultant terminal 12 exist on different intelligent terminals 1 respectively.

[0312] The user terminal 11 and the consultant terminal 12 both operate independently and communicate with the cloud platform 2 respectively.

[0313] The user terminal 11 also includes a my advisor module 115 , a history module 116 , and a signature setting module 117 .

[0314] The my consultant module 115 includes a consultant details module 1151 , an add consultant module 1152 , a consultation desk module 1153 , a my task module 1154 , a my suggestion module 1155 , a user information reminder module 1156 , and a task evaluation module 1157 .

[0315] The consultant details module 1151 includes a consultant personal information module, a consultant importance level module, and a service complaint module; the consultant personal information module includes but is not limited to the consultant's name, title, place of practice, personal profile, and certification status; the consultant importance level module is used to evaluate the consultant's importance level, including four levels: very important, important, generally important, and unimportant; the service complaint module allows users to complain about consultants.

[0316] The add consultant module 1152 is used to add consultants, and consultants can be searched by name, region, title, and certification status to view the consultant's personal information details.

[0317] The consultation desk module 1153 is used to consult a consultant about health issues and view the consultant's consultation response. The consultation method includes one or more combinations of text, pictures, voice, video, telephone, etc.

[0318] The my task module 1154 is used to display the user's tasks for today, including the completion time of the task, the person who set the task, and the number of tasks. The user can directly click to punch in to complete the health task (intervention treatment project, frequency, and duration).

[0319] The My Suggestions module 1155 is used to view the suggestions given by the consultant.

[0320] The user information reminder module 1156 is used to display reminder information sent by the consultant, and the reminder information includes task reminders, task evaluation reminders, consultation reply reminders, and my suggestion reminders.

[0321] The task evaluation module 1157 is used to view the consultant's evaluation of the tasks he or she has completed, including grade rating and text evaluation.

[0322] The history record module 116 is used to display the user's daily real-time dynamic changes in cardiac function index and its changing trend.

[0323] The signature setting module 117 is used to display the user's avatar, nickname and the user's personal signature.

[0324] The health assessment module 113 further includes a health data collection module 1131 , a heart function index module 1132 , and an assessment result and sharing module 1133 .

[0325] The health data collection module 1131 includes a heart function health basic information collection module 11311 , a disease history collection module 11312 , a quality of life collection module 11313 , an anxiety status collection module 11314 , a depression status collection module 11315 , and a sleep quality collection module 11316 .

[0326] The cardiac function health basic information collection module 11311 is used to collect basic information such as the user's age, gender, height, weight, systolic blood pressure, diastolic blood pressure, heart rate, six-minute walking distance, grip strength, grip strength-weight index, ejection fraction, B-type natriuretic peptide, and heart rate variability.

[0327] The medical history collection module 11312 is used to collect the user's medical history data, including heart failure classification and heart failure staging.

[0328] The quality of life collection module 11313 collects the user's quality of life status through the Minnesota Heart Failure Quality of Life Questionnaire (MLHFQ).

[0329] The anxiety status collection module 11314 collects the user's anxiety status through the Generalized Anxiety Scale (GAD-7).

[0330] The depression status collection module 11315 collects the user's depression status through the Self-Rating Depression Questionnaire (PHQ-9).

[0331] The sleep quality collection module 11316 collects the user's sleep quality status through the Pittsburgh Sleep Quality Index (PSQI).

[0332] The data collected by the health data collection module 1131 is transmitted to the data processing module 22 through the data transmission module 21 to obtain the user's cardiac function health risk assessment results and cardiac function index data.

[0333] The cardiac function index module 1132 calls and displays the user's cardiac function index, level, development trend and prevention and control priorities based on the evaluation data processed by the data processing module 22.

[0334] The evaluation result and sharing module 1133 includes a self-assessment result module and a self-assessment sharing module.

[0335] The self-assessment result module includes a module for people with excellent cardiac function, a module for people with good cardiac function, a module for people with medium cardiac function, a module for people with poor cardiac function, and a module for people with extremely poor cardiac function.

[0336] The self-assessment sharing module is used for users to share self-assessment results.

[0337] The daily micro-test module 111 includes a mood assessment module 1111 , an exercise assessment module 1112 , a stress assessment module 1113 , an appetite assessment module 1114 , and a sleep assessment module 1115 .

[0338] The emotion evaluation module 1111 allows the user to evaluate the emotion in five levels according to his / her mood on that day, and the five levels include very good, good, average, poor, and very poor.

[0339] The exercise volume evaluation module 1112 allows the user to perform a five-level evaluation on the exercise volume according to the user's exercise status on that day, and the five-level evaluation includes a lot, more, normal, less, and very little.

[0340] The stress assessment module 1113 allows the user to assess stress at five levels according to his or her stress status on that day, and the five levels include very high, relatively high, normal, less, and very little.

[0341] The appetite assessment module 1114 allows the user to conduct a five-level assessment of appetite according to his / her appetite status on that day, wherein the five-level assessment includes very good, good, average, poor, and very poor.

[0342] The sleep evaluation module 1115 allows the user to perform a five-level evaluation of sleep according to his / her sleep status on that day, wherein the five levels of evaluation include a lot, more, normal, less, and very little.

[0343] The intervention therapy module 112 includes a cardiac function-specific intervention therapy module 1121 and a conventional auxiliary intervention therapy module 1122 .

[0344] The cardiac function-specific intervention treatment module 1121 includes a breathing training module 11211 .

[0345] The breathing training module 11211 is used for the user to perform breathing training intervention therapy.

[0346] The cardiac function-specific intervention treatment module 1121 also includes a grip strength training module 11212 and / or a six-minute walking module 11213 .

[0347] The grip strength training module 11212 is used for users to perform grip strength training intervention treatment.

[0348] The six-minute walking module 11213 is used for users to perform six-minute walking training intervention treatment.

[0349] The conventional auxiliary intervention treatment module 1122 includes a heart rate variability module 11221 , a blood pressure module 11222 , a weight module 11223 , a diet module 11224 , a medication module 11225 , and an exercise module 11226 .

[0350] The heart rate variability module 11221 is used to record the user's heart rate variability and the changing trend of the heart rate variability, and to manage the user's heart rate variability.

[0351] The blood pressure module 11222 is used to record the user's high blood pressure, low blood pressure, heart rate and recent change trends, and to manage the user's blood pressure.

[0352] The weight module 11223 is used to record the user's weight and weight change trend, and to manage the user's weight.

[0353] The diet module 11224 is used to record the user's dietary combinations, dietary intake, dietary habits, and to perform dietary management on the user.

[0354] The medication module 11225 is used to record the user's medication status and manage the user's medication.

[0355] The exercise module 11226 is used to record the user's exercise status and corresponding exercise level, and perform exercise management on the user.

[0356] The data processing module 22 includes a cardiac function health risk assessment module 221 and a cardiac function index calculation module 222 .

[0357] The cardiac function health risk assessment module 221 includes a data preprocessing module 2211 , a weight configuration module 2212 , and a risk level assessment module 2213 .

[0358] The data preprocessing module 2211 performs normalization and standardization processing on the health data.

[0359] The weight configuration module 2212 determines the indicator weights of various health indicators corresponding to each level.

[0360] The risk level assessment module 2213 includes a membership determination module 22131 , a hierarchical vector assessment module 22132 , and a comprehensive vector assessment module 22133 .

[0361] The membership determination module 22131 determines the membership value of each health indicator relative to each evaluation level according to the corresponding health data.

[0362] The level vector evaluation module 22132 evaluates the evaluation level vectors of the corresponding health indicators in each level from low to high according to the membership value and indicator weight of the corresponding health indicator. The calculation formula of the level vector is as follows:

[0363]

[0364] Among them, (a1, a2, …, a n ) is the indicator weight corresponding to each health indicator, r ij For health indicators ij Regarding the membership value of the evaluation set, is the fuzzy synthesis operator.

[0365] The comprehensive vector evaluation module 22133 determines the comprehensive level vector according to the comprehensive evaluation level vectors and indicator weights corresponding to each high-level health indicator, and evaluates the heart function health status according to the comprehensive level vector.

[0366] The cardiac function index calculation module 222 evaluates the health index of each health index in each level from low to high according to the membership value and index weight of the corresponding health index; calculates the cardiac function index according to the health index and index weight of each health index in the high level, and the calculation formula is as follows:

[0367]

[0368] Among them, T i is the health index corresponding to the low-level health indicators that affect the health indicators, w iIndicator weights for low-level health indicators.

[0369] The weight configuration module 2212 includes a health indicator grading module 22121, a judgment matrix construction module 22122, a weight vector calculation module 22123, a consistency verification module 22124, an indicator weight determination module 22125, and a matrix correction module 22126.

[0370] The health indicator grading module 22121 determines the health indicators corresponding to each level.

[0371] The judgment matrix construction module 22122 constructs a plurality of judgment matrices according to the importance of each of the health indicators.

[0372] The weight vector calculation module 22123 calculates the maximum eigenvalue of each judgment matrix and the weight vector of the health index corresponding to each level in the judgment matrix.

[0373] The consistency check module 22124 performs consistency check on each judgment matrix according to the maximum eigenvalue.

[0374] The indicator weight determination module 22125 determines the indicator weight corresponding to each health indicator according to the weight vector of the health indicator corresponding to each level in the judgment matrix that passes the consistency check.

[0375] The matrix correction module 22126 corrects the judgment matrix that fails the consistency check, and recalculates the maximum eigenvalue and weight vector of the corrected judgment matrix to perform a consistency check again.

[0376] Embodiment 12:

[0377] See also Figures 1 to 19 , a chronic heart failure intelligent assessment and intervention treatment system, the main technical content is shown in Example 11, further, the weight configuration module 2212 adopts the analytic hierarchy process (AHP) to determine the indicator weights of various health indicators corresponding to each level.

[0378] The weight configuration module 2212 includes a health indicator grading module 22121, a judgment matrix construction module 22122, a weight vector calculation module 22123, a consistency verification module 22124, an indicator weight determination module 22125, and a matrix correction module 22126.

[0379] The health index grading module 22121 determines the health indexes corresponding to the high-level layer and the low-level layer. In this embodiment, the stratification results of the health index grading module 22121 are as follows:

[0380] High-level health indicators include: H = {mental health, living conditions, cardiovascular health, muscle strength}.

[0381] The low-level health indicators correspond to the health indicators in the high-level levels, including A1 = {depression, anxiety}, A2 = {sleep quality, quality of life}, A3 = {heart function classification, six-minute walking distance, resting heart rate, systolic blood pressure, diastolic blood pressure, ejection fraction, B-type natriuretic peptide, heart rate variability}, and A4 = {grip strength, grip strength-weight index}.

[0382] The judgment matrix construction module 22122 constructs a judgment matrix of N×N order in each layer according to the stratification results and standard degree of the health index grading module 22121. The standard degree is the mutual importance of the health indexes corresponding to each level. The judgment matrix can be expressed as:

[0383]

[0384] The weight vector calculation module 22123 calculates the weight vector according to the formula Pω=λ max ω calculates the maximum eigenvalue λ of each judgment matrix constructed by the judgment matrix construction module 22122 max , and the weight vector of the health indicators corresponding to each level in the judgment matrix, where the weight vector is the normalized eigenvector ω of each element in the judgment matrix k , the eigenvector ω k It is the importance of the indicator to the indicator on the previous level.

[0385] The consistency check module 22124 performs consistency check on each judgment matrix according to the maximum eigenvalue. In this embodiment, the consistency index used to check the judgment matrix mainly includes three items, namely, deviation consistency index, random consistency index and relative consistency index.

[0386] The calculation formula of the deviation consistency index is as follows:

[0387]

[0388] Where n is the dimension of the judgment matrix.

[0389] The random consistency index finds the corresponding random consistency index RI value according to the dimension n of the judgment matrix, as shown in Table 1:

[0390] Table 1. The random consistency index RI value corresponding to the judgment matrix dimension n

[0391]

[0392] The relative consistency index is the ratio of the deviation consistency index CI to the random consistency index RI. The smaller the value, the better the consistency of the judgment matrix. When the relative consistency index is less than 0.1, it means that the judgment matrix passes the consistency test. The specific calculation formula of the relative consistency index is as follows:

[0393]

[0394] The indicator weight determination module 22125 determines the indicator weight corresponding to each health indicator according to the weight vector of the health indicator corresponding to each level in the judgment matrix that passes the consistency test. Specifically, the indicator weight determination module 22125 multiplies the weight of the health indicator of the indicator layer relative to the weight of the health indicator in the criterion layer with the weight of the health indicator in the criterion layer corresponding to the target layer to calculate the combined weight of each health indicator.

[0395] The matrix correction module 22126 corrects the judgment matrix that fails the consistency check. The corrected judgment matrix can be resent to the weight vector calculation module 22123, and the weight vector calculation module 22123 recalculates the maximum eigenvalue and weight vector of the corrected judgment matrix. The consistency check module 22124 can perform consistency judgment on the corrected judgment matrix according to the maximum eigenvalue calculated by the weight vector calculation module 22123. Repeat this process until the judgment matrix meets the consistency requirement.

[0396] Embodiment 13:

[0397] See also Figures 1 to 19 , a chronic heart failure intelligent assessment and intervention treatment system, the main technical content is shown in Examples 11 to 12, further, the cardiac function health risk assessment module 221 adopts a fuzzy comprehensive evaluation model based on hierarchical analysis method to evaluate the patient's cardiac function health status.

[0398] The cardiac function health risk assessment module 221 includes a data preprocessing module 2211 , a weight configuration module 2212 , and a risk level assessment module 2213 .

[0399] The data preprocessing module 2211 performs normalization and standardization processing on the health data.

[0400] The weight configuration module 2212 includes a health indicator grading module 22121, a judgment matrix construction module 22122, a weight vector calculation module 22123, a consistency verification module 22124, an indicator weight determination module 22125, and a matrix correction module 22126.

[0401] The health index classification module 22121 determines the health indexes corresponding to the criterion layer and the index layer. This embodiment adopts a two-level fuzzy comprehensive evaluation, and the first-level evaluation index set: H = {A1, A2, A3, A4} = {mental health, living conditions, cardiovascular health, muscle strength}. The second-level evaluation index set: A1 = {B1, B2} = {depression, anxiety}, A2 = {B3, B4} = {sleep quality, quality of life}, A3 = {B5, B6} = {sleep quality, quality of life} 6， B7,B8,B9,B 10 ,B 11 ,B 12}={cardiac function classification, six-minute walk distance, resting heart rate, systolic blood pressure, diastolic blood pressure, ejection fraction, B-type natriuretic peptide, heart rate variability}, A4={B 13 ,B 14}={grip strength,grip strength body mass index}.

[0402] The judgment matrix construction module 22122 constructs a plurality of judgment matrices according to the importance of each of the health indicators.

[0403] The weight vector calculation module 22123 calculates the maximum eigenvalue of each judgment matrix and the weight vector of the health index corresponding to each level in the judgment matrix.

[0404] The consistency check module 22124 performs consistency check on each judgment matrix according to the maximum eigenvalue.

[0405] The indicator weight determination module 22125 determines the indicator weight corresponding to each health indicator according to the weight vector of the health indicator corresponding to each level in the judgment matrix that passes the consistency check.

[0406] The matrix correction module 22126 corrects the judgment matrix that fails the consistency check, and recalculates the maximum eigenvalue and weight vector of the corrected judgment matrix to perform a consistency check again.

[0407] The risk level assessment module 2213 includes a membership determination module 22131 , a hierarchical vector assessment module 22132 , and a comprehensive vector assessment module 22133 .

[0408] The membership determination module 22131 determines the membership value of each health indicator relative to each evaluation level based on the corresponding health data; the evaluation levels include five levels: excellent, good, medium, poor, and extremely poor, that is, the cardiac function health risk judgment set E = {e1, e2, e3, e4, e5} = {excellent, good, medium, poor, extremely poor}; the membership value is determined by constructing a membership function using a trapezoidal distribution.

[0409] The level vector evaluation module 22132 evaluates the evaluation level vectors of the corresponding health indicators in each level from low to high according to the membership value and indicator weight of the corresponding health indicator. The calculation formula of the level vector is as follows:

[0410]

[0411] Among them, (a1, a2, …, a n ) is the indicator weight corresponding to each health indicator, r ij For health indicators ij Regarding the membership value of the evaluation set, is the fuzzy synthesis operator.

[0412] The comprehensive vector evaluation module 22133 determines the comprehensive level vector according to the comprehensive evaluation level vectors and indicator weights corresponding to each high-level health indicator, and evaluates the heart function health status according to the comprehensive level vector.

[0413] Embodiment 14:

[0414] See also Figures 1 to 19 , a system for intelligent assessment and intervention treatment of chronic heart failure, the main technical contents of which are shown in Examples 11 to 13, further, the cardiac function index calculation module 222 evaluates the health index of each health index in each level from low to high according to the membership value and index weight of the corresponding health index; calculates the cardiac function index according to the health index and index weight of each health index in the high level, and the specific calculation process of the cardiac function index is as follows:

[0415] Firstly, the health index of each health indicator at the indicator layer is calculated according to the degree of membership of the health indicator relative to each evaluation level and the evaluation score corresponding to each evaluation level.

[0416] Secondly, according to the health index and indicator weight of each health indicator in the indicator layer, the health index of the corresponding health indicator in the criterion layer is calculated.

[0417] For the health index of mental health indicators:

[0418] S A1 =T B1 *w B1 +T B2 *w B2 (1)

[0419] Health index for life status indicators:

[0420] S A2 =T B3 *w B3 +T B4 *w B4 (2)

[0421] Health index for cardiovascular health indicators:

[0422] S A3 =T B5 *w B5+ T B6 *w B6+ T B7 *w B7+ T B8 *w B8+ T B9 *w B9+ T B10 *w B10+ T B11 *w B11+ T B12 *w B12 (3)

[0423] For muscle strength indicators, the health index is:

[0424] S A4 =T B13 *w B13 +T B14 *w B14 (4)

[0425] Finally, according to the health index and index weight of each health index in the criterion layer, the cardiac function index of the target layer is calculated:

[0426] HFI=S A1 *w A1 +S A2 *w A2 +S A3 *w A3 +S A4 *w A4 (5).

Claims

1. A chronic heart failure intelligent assessment and intervention treatment system, characterized in that: It comprises an intelligent terminal (1) and a cloud platform (2). The intelligent terminal (1) comprises a user terminal (11); The user terminal (11) comprises a daily micro-test module (111), an intervention treatment module (112), a health assessment module (113), and a data display module (114); The daily micro-test module (111) performs daily self-test evaluation of the user's cardiac function rehabilitation influencing factors to obtain self-test data of cardiac function rehabilitation influencing factors; the cardiac function rehabilitation influencing factors include emotions, exercise volume, stress, appetite, and sleep; The intervention therapy module (112) selects intervention therapy items based on the self-test data of the factors affecting cardiac function rehabilitation, performs intervention therapy on the user, and promotes the cardiac function rehabilitation of the user; the intervention therapy items include cardiac function-specific intervention therapy items and auxiliary intervention therapy items; The health assessment module (113) performs a heart function health assessment on the user to obtain a heart function health assessment result; The data display module (114) is used to display user data; The cloud platform (2) comprises a data transmission module (21), a data processing module (22), and a data storage module (23); The data transmission module (21) is used for data interaction between the cloud platform (2) and the intelligent terminal (1); The data processing module (22) is used to process data transmitted by the intelligent terminal (1); The data storage module (23) is used to store data of the intelligent terminal (1) and the cloud platform (2).

2. The intelligent assessment and intervention treatment system for chronic heart failure according to claim 1, characterized in that: The intelligent terminal (1) further includes a consultant terminal (12); The consultant terminal (12) includes a task plan formulation module (121), a task evaluation module (122), a user consultation module (123), a suggestion release module (124), a my customer service module (125), a consultant information reminder module (126), and a personal center module (127); The task plan formulation module (121) is used to formulate intervention treatment items, as well as frequency and duration for the user; The task plan formulation module (121) includes a project selection module (1211), a frequency selection module (1212), a duration selection module (1213), and a precaution module (1214); The project selection module (1211) is used to select intervention treatment projects in the intervention treatment module (112) and formulate an intervention task plan; The intervention therapy items include cardiac function-specific intervention therapy items and auxiliary intervention therapy items; cardiac function-specific intervention therapy items include breathing training intervention therapy items, grip strength training items and / or six-minute walking training items; auxiliary intervention therapy items include heart rate variability intervention therapy items, blood pressure intervention therapy items, weight intervention therapy items, diet intervention therapy items, medication intervention therapy items, and exercise intervention therapy items; The frequency selection module (1212) is used to select the frequency of intervention task execution and the execution time of the intervention task; The duration selection module (1213) is used to formulate the number of time periods required for executing the user task; The precautions module (1214) is used to explain the precautions during the execution of each task; The task evaluation module (122) allows the consultant to conduct text evaluation and grade evaluation on the task performed by the user; The user consultation module (123) is used by the consultant to answer questions queried by the user; The advice publishing module (124) is used by the consultant to publish advice to the user; The my customer module (125) includes a new customer management module, a customer complaint module, a sequence arrangement module, and a customer details module; The new client management module reminds consultants to formulate and manage tasks for new clients; The customer complaint module checks the customer's complaint content and provides a solution; The order arrangement module arranges the order of customers, including but not limited to the order of time and the order of importance; The customer details module is used to view the customer's personal information, cardiac function index, current task status and task details, select the customer's importance, and modify the customer's note name; The consultant information reminder module (126) is used to remind the consultant that a new message has been delivered, and the new message types include task completion reminder, consultation information reminder, consultant addition reminder, and customer complaint reminder; The personal center module (127) is used for performing occupation registration, viewing and editing personal information.

3. The intelligent assessment and intervention treatment system for chronic heart failure according to claim 2, characterized in that: The intelligent terminal (1) further comprises an integrated module (13); The integrated module comprises a switching module (131); The switching module (131) is used to switch between the user terminal (11) and the advisor terminal (12); The integrated module (13) is used to encapsulate the user terminal (11), the advisor terminal (12), and the switching module (131).

4. The intelligent assessment and intervention treatment system for chronic heart failure according to claim 1, characterized in that: The user terminal (11) and the consultant terminal (12) are respectively present on different intelligent terminals (1); The user terminal (11) and the consultant terminal (12) both operate independently and communicate with the cloud platform (2) respectively.

5. The intelligent assessment and intervention treatment system for chronic heart failure according to claim 1, characterized in that: The user terminal (11) also includes a my advisor module (115), a history record module (116), and a signature setting module (117); The My Consultant Module (115) includes a Consultant Details Module (1151), an Add Consultant Module (1152), a Consultation Desk Module (1153), a My Task Module (1154), a My Suggestion Module (1155), a User Information Reminder Module (1156), and a Task Evaluation Module (1157); The consultant details module (1151) includes a consultant personal information module, a consultant importance level module, and a service complaint module; The consultant personal information module stores consultant personal information, including but not limited to the consultant's name, job title, place of practice, personal profile, and certification status; The consultant importance level module is used to evaluate the consultant's importance level, including four levels: very important, important, moderately important, and unimportant; The service complaint module allows users to file complaints against consultants; The adding consultant module (1152) is used to add consultants, search for consultants, and view the consultant's personal information details; when searching for consultants, the search keywords include name, region, title, and certification status; The consultation desk module (1153) is used to consult the consultant about health issues and view the consultant's consultation response. The consultation method includes one or more combinations of text, pictures, voice, video, telephone, etc.; The My Task module (1154) is used to display the user's tasks for today, including the completion time of the task, the task setter, and the number of tasks; The My Suggestions module (1155) is used to view the suggestions given by the consultant; The user information reminder module (1156) is used to display reminder information sent by the consultant, and the reminder information includes task reminder, task evaluation reminder, consultation reply reminder, and my suggestion reminder; The task evaluation module (1157) is used to check the consultant's evaluation of the task he / she has completed, including grade rating and text evaluation; The history recording module (116) is used to display the user's daily real-time dynamic changes in cardiac function index and its changing trend; The signature setting module (117) is used to display the user's avatar, nickname and the user's personal signature.

6. The intelligent assessment and intervention treatment system for chronic heart failure according to claim 1, characterized in that: The health assessment module (113) further includes a health data collection module (1131), a heart function index module (1132), and an assessment result and sharing module (1133); The health data collection module (1131) includes a heart function health basic information collection module (11311), a disease history collection module (11312), a life quality collection module (11313), an anxiety status collection module (11314), a depression status collection module (11315), and a sleep quality collection module (11316); The cardiac function health basic information collection module (11311) is used to collect the user's age, gender, height, weight, systolic blood pressure, diastolic blood pressure, heart rate, six-minute walking distance, grip strength, grip strength-to-body weight index, ejection fraction, B-type natriuretic peptide, and heart rate variability information; The disease history collection module (11312) is used to collect the user's disease history data, including heart failure classification and heart failure staging; The quality of life collection module (11313) collects the user's quality of life status through the Minnesota Heart Failure Quality of Life Questionnaire; The anxiety status collection module (11314) collects the user's anxiety status through the Generalized Anxiety Scale (GAD-7); The depression status collection module (11315) collects the depression status of the user through the Self-Rating Depression Questionnaire (PHQ-9); The sleep quality collection module (11316) collects the user's sleep quality status through the Pittsburgh Sleep Quality Index Scale; The data collected by the health data collection module (1131) is transmitted to the data processing module (22) via the data transmission module (21), thereby obtaining the cardiac function health risk assessment result and cardiac function index data of the user; The cardiac function index module (1132) calls and displays the user's cardiac function index, level, development trend and prevention and control priorities based on the evaluation data processed by the data processing module (22); The evaluation result and sharing module (1133) includes a self-assessment result module and a self-assessment sharing module; The self-assessment result module includes a module for people with excellent cardiac function, a module for people with good cardiac function, a module for people with medium cardiac function, a module for people with poor cardiac function, and a module for people with extremely poor cardiac function; The self-assessment sharing module is used for users to share self-assessment results; The daily micro-test module (111) includes a mood assessment module (1111), an exercise assessment module (1112), a stress assessment module (1113), an appetite assessment module (1114), and a sleep assessment module (1115); The emotion evaluation module (1111) allows the user to evaluate the emotion in five levels according to the user's mood on that day, and the five levels include very good, good, average, poor, and very poor; The exercise amount evaluation module (1112) allows the user to evaluate the exercise amount in five levels according to his / her exercise status on that day, and the five levels include a lot, more, normal, less, and very little; The stress assessment module (1113) allows the user to assess stress in five levels according to his / her stress status on the day, wherein the five levels include very high, relatively high, normal, less, and very little; The appetite assessment module (1114) allows the user to conduct a five-level assessment of appetite according to his / her appetite status on that day, wherein the five-level assessment includes very good, good, average, poor, and very poor; The sleep assessment module (1115) allows the user to conduct a five-level assessment of sleep based on his / her sleep condition on that day, wherein the five levels of assessment include a lot, more, normal, less, and very little.

7. The intelligent assessment and intervention treatment system for chronic heart failure according to claim 1, characterized in that: The intervention treatment module (112) includes a cardiac function-specific intervention treatment module (1121) and a conventional auxiliary intervention treatment module (1122); The cardiac function special intervention treatment module (1121) includes a breathing training module (11211); The breathing training module (11211) is used for the user to perform breathing training intervention therapy; The cardiac function special intervention treatment module (1121) further includes a grip strength training module (11212) and / or a six-minute walking module (11213); The grip strength training module (11212) is used for users to perform grip strength training intervention therapy. The six-minute walking module (11213) is used for users to perform six-minute walking training intervention therapy; The conventional auxiliary intervention treatment module (1122) includes a heart rate variability module (11221), a blood pressure module (11222), a weight module (11223), a diet module (11224), a medication module (11225), and an exercise module (11226); The heart rate variability module (11221) is used to record the user's heart rate variability and the changing trend of the heart rate variability, and to manage the user's heart rate variability; The blood pressure module (11222) is used to record the user's high blood pressure, low blood pressure, heart rate and recent change trends, and to manage the user's blood pressure; The weight module (11223) is used to record the user's weight and weight change trend, and to manage the user's weight; The diet module (11224) is used to record the user's dietary combinations, dietary intake, dietary habits, and to manage the user's diet; The medication module (11225) is used to record the user's medication status and manage the user's medication; The exercise module (11226) is used to record the user's exercise status and corresponding exercise level, and to manage the user's exercise.

8. The intelligent assessment and intervention treatment system for chronic heart failure according to claim 1, characterized in that: The data processing module (22) comprises a cardiac function health risk assessment module (221) and a cardiac function index calculation module (222); The cardiac function health risk assessment module (221) comprises a data preprocessing module (2211), a weight configuration module (2212), and a risk level assessment module (2213); The data preprocessing module (2211) performs normalization and standardization processing on the health data; The weight configuration module (2212) determines the indicator weights of various health indicators corresponding to each level; The risk level assessment module (2213) includes a membership determination module (22131), a hierarchical vector assessment module (22132), and a comprehensive vector assessment module (22133); The membership determination module (22131) determines the membership value of each health indicator relative to each evaluation level according to the corresponding health data; The hierarchical vector evaluation module (22132) evaluates the evaluation level vectors of the corresponding health indicators in each hierarchy from low to high according to the membership value and indicator weight of the corresponding health indicator; The calculation formula of the level vector is as follows: Among them, (a1, a2, …, an) is the indicator weight corresponding to each health indicator, rij is the health indicator u ij Regarding the membership value of the evaluation set, is the fuzzy synthesis operator; B is the level vector. The comprehensive vector evaluation module (22133) determines the comprehensive level vector according to the comprehensive evaluation level vectors and the indicator weights corresponding to each high-level health indicator, and evaluates the heart function health status according to the comprehensive level vector; The cardiac function index calculation module (222) evaluates the health index of each health index in each level from low to high according to the membership value and index weight of the corresponding health index, and calculates the cardiac function index according to the health index and index weight of each health index in the high level; The cardiac function index is calculated as follows: Among them, T i is the health index corresponding to the low-level health indicators that affect the health indicators, w i is the indicator weight of the low-level health indicator; HFI is the heart function index.

9. The intelligent assessment and intervention treatment system for chronic heart failure according to claim 8, characterized in that: The weight configuration module (2212) includes a health index grading module (22121), a judgment matrix construction module (22122), a weight vector calculation module (22123), a consistency verification module (22124), an index weight determination module (22125), and a matrix correction module (22126); The health index grading module (22121) determines the health index corresponding to each level, including the first level health index and the second level health index; Primary health index H = {mental health, living conditions, cardiovascular health, muscle strength}; Secondary health index A = {A1, A2, A3, A4}; A1 = {depression, anxiety}, A2 = {sleep quality, quality of life}, A3 = {cardiac function classification, six-minute walking distance, resting heart rate, systolic blood pressure, diastolic blood pressure, ejection fraction, B-type natriuretic peptide, heart rate variability}, A4 = {grip strength, grip strength-weight index}; The judgment matrix construction module (22122) constructs a plurality of judgment matrices according to the importance of each of the health indicators; The judgment matrix is ​​as follows: Where P is the judgment matrix; a 11 , ..., a nn The importance of health indicators. The weight vector calculation module (22123) calculates the maximum eigenvalue λ of each judgment matrix respectively max , and the weight vector of the health indicators corresponding to each level in the judgment matrix; λ max Satisfy Pω=λ max ω; the weight vector is the normalized eigenvector ω of each element in the judgment matrix k ; Eigenvector ω k It is used to represent the importance of an indicator to the indicator on the previous level; The consistency check module (22124) performs consistency check on each judgment matrix according to the maximum eigenvalue; The indicator weight determination module (22125) determines the indicator weight corresponding to each health indicator according to the weight vector of the health indicator corresponding to each level in the judgment matrix that passes the consistency test; The matrix correction module (22126) corrects the judgment matrix that fails the consistency check, recalculates the maximum eigenvalue and weight vector of the corrected judgment matrix, and re-performs the consistency check until the judgment matrix meets the consistency requirement.

10. The intelligent assessment and intervention treatment system for chronic heart failure according to claim 8, characterized in that: The health index corresponding to the mental health indicators is as follows: S A1 =T B1 *w B1 +T B2 *w B2 (4) In the formula, S A1 is the health index corresponding to the mental health indicator; w B1 、w B2 is the weight coefficient; T B1 , T B2 Health index corresponding to different mental health indicators; The health index corresponding to the living status indicator is as follows: S A2 =T B3 *w B3 +T B4 *w B4 (5) In the formula, S A2 is the health index corresponding to the living status indicator; w B3 、w B4 is the weight coefficient; T B3 , T B4 Health index for different life status indicators; The health index corresponding to the cardiovascular health indicators is as follows: S A3 =T B5 *w B5+ T B6 *w B6+ T B7 *w B7+ T B8 *w B8+ T B9 *w B9+ T B10 *w B10+ T B11 *w B11+ T B12 *w B12 (6) In the formula, S A3 is the health index corresponding to the cardiovascular health index; w B5 、w B6 、w B7 、w B8 、w B9 、w B10 、w B11 、w B12 is the weight coefficient; T B5 , T B6 , T B7 , T B8 , T B9 , T B10 , T B11 , T B12 Health index for different cardiovascular health indicators; The fitness index corresponding to the muscle strength index is as follows: S A4 =T B13 *w B13 +T B14 *w B14 (7) In the formula, S A4 is the health index corresponding to the muscle strength index; w B13 、w B14 is the weight coefficient; T B13 , T B14 A fitness index for different muscle strength indicators.

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