A three-terminal coordinated stroke intelligent care management system

Abstract

The present application relates to the technical field, specifically to a three-end coordinated stroke intelligent care management system, the system comprises a three-end parameter acquisition standardization module, a care feedback classification analysis module, a three-end parameter coupling operation module, a care scheme dynamic adjustment module and an acquisition threshold dynamic calibration module.In the present application, three-end core parameters are quantified and unified, the deviation is marked by operating the feedback parameters and the multi-end key parameters, the adaptive coefficient is generated by coupling the multi-dimensional parameters, the care related parameters are dynamically adjusted and verified, the data acquisition threshold is calibrated, the three-end data is cooperatively linked, the care scheme is more suitable for the old people's rehabilitation state, the students' operation ability and the teachers' teaching requirements, the data acquisition pertinence and the care scheme adaptability are improved, the cooperation between the teaching practice and the home health care is strengthened, and the efficient integration of three-end needs is promoted.

Description

Technical Field

[0001] This invention relates to the field of medical care management data processing technology, and in particular to a three-terminal collaborative intelligent stroke care management system. Background Technology

[0002] The field of medical care management data processing technology includes core components such as the digital management of medical care processes, the collaboration of teaching and practical training, and the digital support for home-based elderly care services. This field focuses on integrating the needs of medical care, teaching, and elderly care through digital technology, building a collaborative platform, enriching digital resources, and realizing the organic combination of care management teaching and practical training with home-based elderly care, thereby promoting the development of elderly education and smart elderly care.

[0003] One type of three-terminal collaborative intelligent stroke care management system refers to the technical matters involved in home care and rehabilitation for stroke patients, care training for students, and teaching and management for teachers. It integrates professional knowledge from fields such as nursing, traditional Chinese and Western medicine, clinical computer science, etc., using virtual reality development related technologies. It provides stroke patients with basic information collection, needs assessment, personalized care plans, volunteer services, remote assistance, and safety-related services. It provides students with practical training and assessment related to basic stroke care, chronic disease care, and rehabilitation care. It provides teachers with management and data analysis of teaching progress, student grades, volunteer services, and basic information of relevant personnel.

[0004] Existing technologies only integrate professional knowledge from multiple fields to provide basic services, without standardizing the processing and deep coupling of data from the three terminals. The data lacks a unified benchmark and has insufficient synergy. In actual scenarios such as home-based elderly care training, care plans cannot be dynamically adjusted according to the real-time status of the three terminals. Data collection lacks precise guidance, resulting in poor connection between teaching and practice, poor adaptability of elderly rehabilitation services, and difficulty in fully meeting the actual needs of collaborative care across the three terminals. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies by proposing a three-terminal collaborative intelligent care management system for stroke.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a three-terminal collaborative intelligent care management system for stroke, the system comprising: The three-terminal parameter acquisition standardization module collects the rehabilitation index compliance rate and TCM constitution suitability of the elderly, the care operation compliance rate of the students, and the knowledge point weight coefficient of the teachers, maps them to the 0-1 range, quantifies them according to the stroke rehabilitation standard teaching syllabus, and generates a three-terminal standardized parameter set. Care feedback classification and analysis module: Based on the standardized parameter set of the three terminals, it calls the feedback parameters of the elderly terminal, the accuracy of the operation guidance of the student terminal, and the weight coefficient of the knowledge points of the teacher terminal to calculate, and marks three types of deviations to obtain the feedback correlation deviation label set; The three-terminal parameter coupling operation module calls the three-terminal standardized parameter set and the feedback correlation deviation label set. The rehabilitation progress value is obtained by multiplying the rehabilitation index compliance rate and limb activity recovery rate of the elderly end. The basic adaptation value of TCM constitution adaptability and Western medicine pathological index stability value is obtained by summing them. The weighted value is then compared with the student end care operation compliance rate to obtain the basic adaptation coefficient. The deviation label is then multiplied by the corresponding end parameter to generate the TCM and Western medicine care adaptation coefficient. The dynamic adjustment module for care plans adjusts the number of TCM rehabilitation movements and the duration of Western medicine physiotherapy based on the compatibility coefficient between TCM and Western medicine care, calls the three-terminal parameter verification, and obtains the set of care parameters that have passed the verification. Dynamic calibration module for acquisition thresholds: Based on the verified care parameter set, compare the adaptation of the original acquisition threshold parameters, adjust the acquisition thresholds of the three terminals, and establish the three-terminal calibration acquisition thresholds.

[0007] As a further aspect of the present invention, the three-terminal standardized parameter set includes standardized parameters for the elderly, standardized parameters for the students, and standardized parameters for the teachers. The feedback correlation deviation label set specifically includes operation incompatibility label, knowledge point mismatch label, and effect perception deviation label. The TCM-Western medicine care adaptation coefficient includes rehabilitation progress adaptation coefficient, TCM-Western medicine basic adaptation coefficient, and three-terminal collaborative correction coefficient. The verification passed care parameter set specifically includes TCM rehabilitation adjustment parameters, Western medicine physiotherapy adjustment parameters, and three-terminal verification confirmation parameters. The three-terminal calibration collection threshold includes elderly calibration collection threshold, student calibration collection threshold, and teacher calibration collection threshold.

[0008] As a further aspect of the present invention, the three-terminal parameter acquisition and standardization module includes: Initial parameter collection submodule: Collects rehabilitation index compliance rate and TCM constitution suitability of elderly terminal, care operation compliance rate of student terminal, and knowledge point weight coefficient of teacher terminal, classifies and records each parameter, and generates original parameter groups for the three terminals; Parameter interval mapping submodule: Calls the original parameter set of the three ends, maps each parameter to the 0-1 interval, and obtains the interval parameter set by unifying the parameter measurement benchmark through numerical conversion; The parameter standardization submodule: Based on the interval parameter set and in accordance with the standard teaching syllabus for stroke rehabilitation, the interval parameters are quantified, and parameter calibration is completed by comparison with the corresponding standard to generate a three-terminal standardized parameter set.

[0009] As a further aspect of the present invention, the care feedback classification and analysis module includes: Feedback parameter calculation submodule: Based on the standardized parameter set of the three terminals, it calls the feedback parameters of the elderly terminal, the accuracy of the operation guidance of the student terminal, and the knowledge point weight coefficient of the teacher terminal, performs multiple sets of numerical calculations, and obtains the feedback parameter calculation results; Deviation Type Marking Submodule: Based on the calculation results of feedback parameters and in accordance with the preset deviation judgment rules, it marks three types of situations: insufficient operation adaptation, knowledge point adaptation deviation, effect perception deviation, etc., to obtain a set of feedback-related deviation marks.

[0010] As a further aspect of the present invention, the three-terminal parameter coupling calculation module includes: Basic parameter calculation submodule: Calls the standardized parameter set of the three terminals, multiplies the elderly terminal rehabilitation index achievement rate and limb activity recovery rate by the product of the traditional Chinese medicine constitution suitability degree and the stable value of the Western medicine pathological index, and obtains the basic calculation value of the elderly terminal. The adaptation coefficient initial calculation module: Based on the basic calculation value of the elderly, the teacher's knowledge point weight coefficient is used for weighted calculation, and then the ratio is calculated with the student's care operation compliance rate to generate the basic adaptation coefficient. Deviation parameter correction submodule: Calls the basic adaptation coefficient and feedback associated deviation tag set, multiplies it by the relevant parameters of the student or teacher side according to the tag type, completes the coefficient correction, and obtains the corrected adaptation coefficient; The final adaptation coefficient generation submodule integrates the corrected adaptation coefficients, eliminates computational redundancy and bias, and generates the adaptation coefficients for traditional Chinese and Western medicine care.

[0011] As a further aspect of the present invention, the care plan dynamic adjustment module includes: Care parameter adjustment submodule: Based on the compatibility coefficient of TCM and Western medicine care, adjust the number of TCM rehabilitation movements and the duration of Western medicine physiotherapy, match the parameter adjustment range according to the coefficient correspondence, and obtain the adjusted care parameter set; The three-terminal parameter verification submodule calls the adjusted care parameter set and the three-terminal standardized parameter set to perform three-terminal parameter matching verification, confirms that the parameter adjustment meets the core requirements of each terminal, and obtains the verified care parameter set.

[0012] As a further aspect of the present invention, the dynamic calibration module for the acquisition threshold includes: Threshold Adaptation Comparison Submodule: Based on the verified care parameter set, retrieve the original three-terminal data collection threshold, compare the degree of parameter adaptation, calculate the numerical difference between the two, and obtain the threshold adaptation difference value. Three-terminal threshold adjustment submodule: Based on the threshold adaptation difference value, adjust the collection threshold of the elderly, students and teachers respectively, and correct the threshold value according to the corresponding magnitude of the difference value to obtain the adjusted threshold set; The calibration threshold establishment submodule integrates and adjusts the threshold set, confirms that the thresholds at each end meet the data acquisition requirements, forms a unified and standardized threshold standard, and establishes the three-end calibration acquisition threshold.

[0013] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, core parameters from three terminals are collected and quantified for uniformity. By calculating and marking deviations through feedback parameters and key parameters from multiple terminals, and combining multi-dimensional parameters to generate adaptation coefficients, care-related parameters are dynamically adjusted and verified. Data collection thresholds are calibrated to achieve collaborative linkage of data from the three terminals. This makes care plans more aligned with the rehabilitation status of the elderly, the operational abilities of students, and the teaching requirements of teachers. It improves the targeting of data collection and the adaptability of care plans, strengthens the collaborative connection between teaching and training and home-based health care, and promotes the efficient integration of needs from the three terminals. Attached Figure Description

[0014] Figure 1 This is a system flowchart of the present invention; Figure 2 This is a flowchart of the acquisition process for the three-terminal construction system of the present invention. Detailed Implementation

[0015] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0016] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0017] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0018] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0019] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0020] Please see Figure 1This invention provides a technical solution: a three-terminal collaborative intelligent care management system for stroke, the system comprising: The three-terminal parameter acquisition standardization module collects feedback parameters such as the rehabilitation index compliance rate and TCM constitution suitability of the elderly, skill parameters such as the care operation compliance rate of students, and teaching parameters such as the knowledge point weight coefficient of teachers. It maps all parameters to the 0-1 range, completes the quantitative conversion according to the stroke rehabilitation standard teaching syllabus, and generates a three-terminal standardized parameter set. Care feedback classification and analysis module: Based on the standardized parameter set of the three terminals, it calls the feedback parameters of the elderly terminal and the weight coefficient of the operation guidance accuracy of the student terminal and the knowledge points of the teacher terminal to calculate, and marks three types of deviation to obtain the feedback-related deviation label set; The three-terminal parameter coupling operation module calls the three-terminal standardized parameter set and the feedback-related deviation label set, multiplies the rehabilitation indicator compliance rate of the elderly end with the limb activity recovery rate to obtain the rehabilitation progress value, sums the TCM constitution fit degree with the Western medicine pathological indicator stability value to obtain the TCM and Western medicine basic fit value, and after weighted operation, compares it with the student end care operation compliance rate to obtain the basic fit coefficient. Combined with the deviation label multiplied by the corresponding end parameter, the TCM and Western medicine care fit coefficient is generated. The dynamic adjustment module for care plans adjusts the number of TCM rehabilitation movements and the duration of Western medicine physiotherapy based on the compatibility coefficient between TCM and Western medicine care. It calls the parameters from the three ends to verify the adjusted parameters and obtains the set of care parameters that have passed the verification. Dynamic calibration module for acquisition thresholds: Based on the verified care parameter set, the module compares the original acquisition thresholds with the parameter adaptation, adjusts the data acquisition threshold values ​​of the three terminals, and establishes the three-terminal calibration acquisition thresholds.

[0021] The three-terminal standardized parameter set includes standardized parameters for the elderly, students, and teachers. The feedback correlation deviation label set specifically includes operation incompatibility label, knowledge point mismatch label, and effect perception deviation label. The TCM and Western medicine care adaptation coefficients include rehabilitation progress adaptation coefficient, TCM and Western medicine basic adaptation coefficient, and three-terminal collaborative correction coefficient. The verified care parameter set specifically includes TCM rehabilitation adjustment parameters, Western medicine physiotherapy adjustment parameters, and three-terminal verification confirmation parameters. The three-terminal calibration collection thresholds include elderly calibration collection thresholds, student calibration collection thresholds, and teacher calibration collection thresholds.

[0022] Please see Figure 2 The standardized module for three-terminal parameter acquisition includes: Initial parameter collection submodule: Collects rehabilitation index compliance rate and TCM constitution suitability of elderly terminal, care operation compliance rate of student terminal, and knowledge point weight coefficient of teacher terminal, classifies and records each parameter, and generates original parameter groups for the three terminals; The data collection included the rehabilitation indicator achievement rate and TCM constitution suitability of the elderly, the care operation compliance rate of students, and the knowledge point weighting coefficient of teachers. The data collection methods and scenarios for each parameter were clearly defined. Parameters for the elderly were obtained through the physiological monitoring module and a constitution questionnaire. The rehabilitation indicator achievement rate was calculated according to the Brunnstrom scale; for example, completing 8 out of 10 target exercises was recorded as 0.8. The TCM constitution suitability was converted using a scale, with 80 points (out of 100) corresponding to 0.8. The student compliance rate was calculated based on 15 operational standardization items; 12 items of compliance were recorded as 0.82. The teacher's weighting coefficient was determined according to the teaching syllabus, with rehabilitation techniques accounting for 0.5. The parameter names, scenarios, and values ​​were recorded in the following table: Table 1. Record of Original Parameters Acquired from Three Terminals

[0023] As shown in Table 1, the original parameters are all from real-time scene records, and after being categorized and organized, three sets of original parameters are generated.

[0024] Parameter interval mapping submodule: Calls the original parameter set of the three ends, maps each parameter to the 0-1 interval, and obtains the interval parameter set by unifying the parameter measurement benchmark through numerical conversion; The original parameter sets from the three terminals were called to clarify the original range of each parameter. The achievement rate of rehabilitation indicators and the suitability of traditional Chinese medicine constitution were already in the range of 0-1. Abnormal data were transformed using a linear transformation formula. Mapping, , For example, the original student compliance rate of 1.1 is mapped to 1.0; the elderly physical fitness rate of -0.05 is mapped to 0. All parameters are verified and transformed one by one to unify the measurement benchmark, ultimately resulting in a set of interval parameters.

[0025] The parameter standardization submodule: Based on the interval parameter set and in accordance with the standard teaching syllabus for stroke rehabilitation, the interval parameters are quantified, and parameter calibration is completed by comparison with the corresponding standard to generate a three-terminal standardized parameter set.

[0026] Based on the intervalized parameter set, and in accordance with the "Guidelines for Rehabilitation Treatment of Stroke Patients (2023 Edition)" and teaching syllabus, calibration standards are established: Table 2 Comparison Table of Parameter Quantification Calibration Standards

[0027] As shown in Table 2, substituting the interval parameters, the rehabilitation indicator compliance rate is 0.8 × 1.05 = 0.84, the TCM constitution suitability is 0.75 × 1.10 = 0.825, and the care operation compliance rate is 0.82 × 0.98 = 0.8036. The standardized parameters are rounded to three decimal places, and after classification, integration, and verification, a three-terminal standardized parameter set is generated.

[0028] The care feedback classification and analysis module includes: Feedback parameter calculation submodule: Based on the standardized parameter set of the three terminals, it calls the feedback parameters of the elderly terminal, the accuracy of the operation guidance of the student terminal, and the knowledge point weight coefficient of the teacher terminal, performs multiple sets of numerical calculations, and obtains the feedback parameter calculation results; Based on a standardized parameter set across three terminals, feedback parameters were extracted for the elderly (difficulty feedback 0.3, suitability feedback 0.8, effectiveness feedback 0.7), the accuracy of operational guidance for students (0.75), and the weight of TCM knowledge points for teachers (0.4) and the weight of Western medicine knowledge points (0.5). Five sets of calculations were performed: the difference between difficulty feedback and guidance accuracy (0.3 - 0.75 = -0.45); the product of suitability feedback and TCM weight (0.8 × 0.4 = 0.32); the sum of effectiveness feedback and Western medicine weight (0.7 + 0.5 = 1.2); the ratio of the absolute value of the difference to the product (|-0.45| ÷ 0.32 ≈ 1.406); and the product of the sum and guidance accuracy (1.2 × 0.75 = 0.9). All calculation data were taken from the standardized parameter set, correlated with the core indicators of the three terminals, and the final results of the feedback parameter calculations were obtained.

[0029] Deviation Type Marking Submodule: Based on the calculation results of feedback parameters and in accordance with the preset deviation judgment rules, it marks three types of situations: insufficient operation adaptation, knowledge point adaptation deviation, effect perception deviation, etc., to obtain a set of feedback-related deviation marks.

[0030] Based on the calculation results of the feedback parameters, the preset deviation judgment rules are as follows: Table 3. Rules for Determining Deviation Types

[0031] As shown in Table 3, the difference result -0.45 < -0.3, indicating insufficient adaptation of the labeling operation; the ratio result 1.406 > 1.2, indicating a deviation in the adaptation of the labeled knowledge points; the product result 0.9 is within a reasonable range and is not labeled. After sorting out the labeling results, a feedback correlation deviation label set is obtained.

[0032] The three-terminal parameter coupling operation module includes: Basic parameter calculation submodule: Calls the standardized parameter set of the three terminals, multiplies the elderly terminal rehabilitation index achievement rate and limb activity recovery rate by the product of the traditional Chinese medicine constitution suitability degree and the stable value of the Western medicine pathological index, and obtains the basic calculation value of the elderly terminal. Using a standardized parameter set from three terminals, the following parameters were extracted for the elderly: rehabilitation indicator achievement rate (0.84), limb movement recovery rate (0.2, 36°-30° / 30°), TCM constitution compatibility (0.825), and Western medicine pathological indicator stability value (0.9). Two sets of calculations were performed: the product of rehabilitation indicator achievement rate and recovery rate was 0.84 × 0.2 = 0.168; the sum of TCM constitution compatibility and Western medicine pathological stability value was 0.825 + 0.9 = 1.725. These two sets of calculations were then integrated with rehabilitation progress and TCM / Western medicine compatibility to obtain the final basic calculation values ​​for the elderly.

[0033] The adaptation coefficient initial calculation module: Based on the basic calculation value of the elderly, the teacher's knowledge point weight coefficient is used for weighted calculation, and then the ratio is calculated with the student's care operation compliance rate to generate the basic adaptation coefficient. Based on the basic calculation values ​​from the elderly's perspective, a weight of 0.5 is extracted from the teacher's perspective for rehabilitation techniques, and a weighted calculation is performed: 0.168 × 0.5 + 1.725 × 0.5 = 0.9465. The compliance rate of care operations from the student's perspective is extracted (0.8036), and a ratio calculation is performed: 0.9465 ÷ 0.8036 ≈ 1.178. The weight settings meet teaching needs, and the ratio is correlated with rehabilitation and practical skills, ultimately generating a basic fit coefficient.

[0034] Deviation parameter correction submodule: Calls the basic adaptation coefficient and feedback associated deviation tag set, multiplies it by the relevant parameters of the student or teacher side according to the tag type, completes the coefficient correction, and obtains the corrected adaptation coefficient; The system uses a base adaptation coefficient of 1.178 and a set of feedback-related deviation markers. Insufficient operation adaptation corresponds to a student-side skill mastery matching degree of 0.78, while knowledge point adaptation deviation corresponds to a teacher-side teaching adjustment feedback value of 0.85. The correction logic involves multiplying each coefficient by a correction parameter and then averaging the results: (1.178 × 0.78 ≈ 0.9188) + (1.178 × 0.85 ≈ 1.0013) ÷ 2 ≈ 0.9601. This balances the impact of different deviations, ultimately yielding the corrected adaptation coefficient.

[0035] The final adaptation coefficient generation submodule integrates the corrected adaptation coefficients, eliminates computational redundancy and bias, and generates the adaptation coefficients for traditional Chinese and Western medicine care.

[0036] The corrected fit coefficient of 0.9601 was numerically integrated to verify that it was within a reasonable range of 0-1.5 without redundant deviation. Integer values ​​were retained to four decimal places, and the correlation with each calculation step was checked to ensure data continuity without gaps, ultimately generating the fit coefficient between traditional Chinese medicine and Western medicine care.

[0037] The dynamic adjustment module for care plans includes: Care parameter adjustment submodule: Based on the compatibility coefficient of TCM and Western medicine care, adjust the number of TCM rehabilitation movements and the duration of Western medicine physiotherapy, match the parameter adjustment range according to the coefficient correspondence, and obtain the adjusted care parameter set; Based on a compatibility coefficient of 0.9601 between traditional Chinese medicine (TCM) and Western medicine care, the baseline value for TCM rehabilitation exercises is 5 times / day, and the baseline value for Western medicine physiotherapy duration is 30 minutes / day. The adjustment logic is to adjust proportionally to the coefficient difference within the range of 0.8-1.2, using the formula: baseline value × (1 + (coefficient - 1.0) × 0.5). The number of TCM exercises is approximately 5 × (1 - 0.01995) ≈ 4 times, and the Western medicine duration remains at 30 minutes. The adjusted parameters conform to rehabilitation standards, resulting in the final adjusted care parameter set. The three-terminal parameter verification submodule calls the adjusted care parameter set and the three-terminal standardized parameter set to perform three-terminal parameter matching verification, confirms that the parameter adjustment meets the core requirements of each terminal, and obtains the verified care parameter set.

[0038] The adjusted care parameter set (Traditional Chinese Medicine 4 times / day, Western Medicine 30 minutes / day) and the standardized parameter set for the three terminals were retrieved. For the student terminal, the validation result was 4 × 0.76 = 3.04 ≥ 2.5; for the teacher terminal, the validation result was 30 × 0.5 = 15 within the range of 12-18; and for the elderly terminal, the validation result was 11 × 0.1 ÷ 0.9 ≈ 1.22 ≤ 1.5. All three validations passed, and the validated care parameter set was obtained.

[0039] The dynamic threshold calibration module includes: Threshold Adaptation Comparison Submodule: Based on the verified care parameter set, retrieve the original three-terminal data collection threshold, compare the degree of parameter adaptation, calculate the numerical difference between the two, and obtain the threshold adaptation difference value. Based on the validated care parameter set, the original three-terminal data collection thresholds were retrieved (0.3 for the elderly, 0.4 for students, and 0.5 for teachers). The adaptation difference values ​​were calculated: 1.3 - 0.3 = 1.0 for the elderly, 2.3872 - 0.4 = 1.9872 for students, and 2.35 - 0.5 = 1.85 for teachers. These difference values ​​reflect the gap between the original thresholds and the current needs, ultimately yielding the threshold adaptation difference values.

[0040] Three-terminal threshold adjustment submodule: Based on the threshold adaptation difference value, adjust the collection threshold of the elderly, students and teachers respectively, and correct the threshold value according to the corresponding magnitude of the difference value to obtain the adjusted threshold set; Based on the threshold adaptation difference, the threshold is adjusted by adding the difference value × 0.1 to the original threshold. For the elderly, the adjustment is 0.3 + 1.0 × 0.1 = 0.4; for students, it is 0.4 + 1.9872 × 0.1 ≈ 0.5987; and for teachers, it is 0.5 + 1.85 × 0.1 = 0.685. The adjustment range is stable, with the threshold remaining in the range of 0.1-1.0, resulting in the final adjusted threshold set.

[0041] The calibration threshold establishment submodule integrates and adjusts the threshold set, confirms that the thresholds at each end meet the data acquisition requirements, forms a unified and standardized threshold standard, and establishes the three-end calibration acquisition threshold.

[0042] After integrating and adjusting the threshold set (0.4 for the elderly, 0.5987 for students, and 0.685 for teachers), we verified that each threshold met the data collection requirements. The elderly's threshold ensured the capture of key indicators, the student's threshold recorded critical operations, and the teacher's threshold ensured data integrity. Integer values ​​were standardized to three decimal places to form a unified standard, and finally, a three-terminal calibration data collection threshold was established.

[0043] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A three-terminal collaborative intelligent care management system for stroke, characterized in that, The system includes: The three-terminal parameter acquisition standardization module collects the rehabilitation index compliance rate and TCM constitution suitability of the elderly, the care operation compliance rate of the students, and the knowledge point weight coefficient of the teachers, maps them to the 0-1 range, quantifies them according to the stroke rehabilitation standard teaching syllabus, and generates a three-terminal standardized parameter set. Care feedback classification and analysis module: Based on the standardized parameter set of the three terminals, it calls the feedback parameters of the elderly terminal, the accuracy of the operation guidance of the student terminal, and the weight coefficient of the knowledge points of the teacher terminal to calculate, and marks three types of deviations to obtain the feedback correlation deviation label set; The three-terminal parameter coupling operation module calls the three-terminal standardized parameter set and the feedback correlation deviation label set. The rehabilitation progress value is obtained by multiplying the rehabilitation index compliance rate and limb activity recovery rate of the elderly end. The basic adaptation value of TCM constitution adaptability and Western medicine pathological index stability value is obtained by summing them. The weighted value is then compared with the student end care operation compliance rate to obtain the basic adaptation coefficient. The deviation label is then multiplied by the corresponding end parameter to generate the TCM and Western medicine care adaptation coefficient. The dynamic adjustment module for care plans adjusts the number of TCM rehabilitation movements and the duration of Western medicine physiotherapy based on the compatibility coefficient between TCM and Western medicine care, calls the three-terminal parameter verification, and obtains the set of care parameters that have passed the verification. Dynamic calibration module for acquisition thresholds: Based on the verified care parameter set, compare the adaptation of the original acquisition threshold parameters, adjust the acquisition thresholds of the three terminals, and establish the three-terminal calibration acquisition thresholds.

2. The three-terminal collaborative intelligent stroke care management system according to claim 1, characterized in that: The standardized parameter set for the three terminals includes standardized parameters for the elderly, students, and teachers. The feedback correlation deviation label set specifically includes operation incompatibility label, knowledge point mismatch label, and effect perception deviation label. The TCM-Western medicine care adaptation coefficient includes rehabilitation progress adaptation coefficient, TCM-Western medicine basic adaptation coefficient, and three-terminal collaborative correction coefficient. The verification passed care parameter set specifically includes TCM rehabilitation adjustment parameters, Western medicine physiotherapy adjustment parameters, and three-terminal verification confirmation parameters. The three-terminal calibration collection threshold includes elderly calibration collection threshold, student calibration collection threshold, and teacher calibration collection threshold.

3. The three-terminal collaborative intelligent stroke care management system according to claim 1, characterized in that, The three-terminal parameter acquisition and standardization module includes: Initial parameter collection submodule: Collects rehabilitation index compliance rate and TCM constitution suitability of elderly terminal, care operation compliance rate of student terminal, and knowledge point weight coefficient of teacher terminal, classifies and records each parameter, and generates original parameter groups for the three terminals; Parameter interval mapping submodule: Calls the original parameter set of the three ends, maps each parameter to the 0-1 interval, and obtains the interval parameter set by unifying the parameter measurement benchmark through numerical conversion; The parameter standardization submodule: Based on the interval parameter set and in accordance with the standard teaching syllabus for stroke rehabilitation, the interval parameters are quantified, and parameter calibration is completed by comparison with the corresponding standard to generate a three-terminal standardized parameter set.

4. The three-terminal collaborative intelligent care management system for stroke according to claim 1, characterized in that, The care feedback classification and analysis module includes: Feedback parameter calculation submodule: Based on the standardized parameter set of the three terminals, it calls the feedback parameters of the elderly terminal, the accuracy of the operation guidance of the student terminal, and the knowledge point weight coefficient of the teacher terminal, performs multiple sets of numerical calculations, and obtains the feedback parameter calculation results; Deviation Type Marking Submodule: Based on the calculation results of feedback parameters and in accordance with the preset deviation judgment rules, it marks three types of situations: insufficient operation adaptation, knowledge point adaptation deviation, effect perception deviation, etc., to obtain a set of feedback-related deviation marks.

5. A three-terminal collaborative intelligent stroke care management system according to claim 4, characterized in that, The three-terminal parameter coupling calculation module includes: Basic parameter calculation submodule: Calls the standardized parameter set of the three terminals, multiplies the elderly terminal rehabilitation index achievement rate and limb activity recovery rate by the product of the traditional Chinese medicine constitution suitability degree and the stable value of the Western medicine pathological index, and obtains the basic calculation value of the elderly terminal. The adaptation coefficient initial calculation module: Based on the basic calculation value of the elderly, the teacher's knowledge point weight coefficient is used for weighted calculation, and then the ratio is calculated with the student's care operation compliance rate to generate the basic adaptation coefficient. Deviation parameter correction submodule: Calls the basic adaptation coefficient and feedback associated deviation tag set, multiplies it by the relevant parameters of the student or teacher side according to the tag type, completes the coefficient correction, and obtains the corrected adaptation coefficient; The final adaptation coefficient generation submodule integrates the corrected adaptation coefficients, eliminates computational redundancy and bias, and generates the adaptation coefficients for traditional Chinese and Western medicine care.

6. The three-terminal collaborative intelligent stroke care management system according to claim 5, characterized in that, The care plan dynamic adjustment module includes: Care parameter adjustment submodule: Based on the compatibility coefficient of TCM and Western medicine care, adjust the number of TCM rehabilitation movements and the duration of Western medicine physiotherapy, match the parameter adjustment range according to the coefficient correspondence, and obtain the adjusted care parameter set; The three-terminal parameter verification submodule calls the adjusted care parameter set and the three-terminal standardized parameter set to perform three-terminal parameter matching verification, confirms that the parameter adjustment meets the core requirements of each terminal, and obtains the verified care parameter set.

7. The three-terminal collaborative intelligent stroke care management system according to claim 1, characterized in that, The dynamic calibration module for the acquisition threshold includes: Threshold Adaptation Comparison Submodule: Based on the verified care parameter set, retrieve the original three-terminal data collection threshold, compare the degree of parameter adaptation, calculate the numerical difference between the two, and obtain the threshold adaptation difference value. Three-terminal threshold adjustment submodule: Based on the threshold adaptation difference value, adjust the collection threshold of the elderly, students and teachers respectively, and correct the threshold value according to the corresponding magnitude of the difference value to obtain the adjusted threshold set; The calibration threshold establishment submodule integrates and adjusts the threshold set, confirms that the thresholds at each end meet the data acquisition requirements, forms a unified and standardized threshold standard, and establishes the three-end calibration acquisition threshold.

Images