A method and system for quantitatively evaluating the effect and range of sports rehabilitation

Abstract

The present invention relates to the field of sports rehabilitation technology, and more specifically, to a method and system for quantitatively evaluating the effect and scope of sports rehabilitation. The solution includes setting up a database for storing physiological indicators, functional indicators, and psychological indicators; obtaining complete data information and total duration from historical data; collecting physiological data in real time through wearable devices or non-invasive monitoring devices to calculate comprehensive physiological unhealthiness; setting up a standardized exercise system to form an exercise test index; forming psychological indicators through survey forms; and conducting comprehensive analysis and display based on comprehensive physiological unhealthiness, exercise test index, and psychological indicators. The solution establishes a multi-dimensional evaluation indicator system and integrates data from different sensors and tests through a centralized data management system, processes and analyzes the data, and can objectively quantify the rehabilitation effect, providing strong support for the formulation of rehabilitation recommendations.

Description

Technical Field

[0001] The present invention relates to the field of sports rehabilitation technology, and more specifically, to a method and system for quantitatively evaluating the effect and range of sports rehabilitation. Background Art

[0002] Exercise rehabilitation is a method used to help patients restore physical function and improve their quality of life through exercise and training. However, due to the lack of effective quantitative assessment methods, the effectiveness and scope of exercise rehabilitation are often difficult to accurately assess. The significance of effective and accurate assessment lies in providing a comprehensive and objective understanding of the patient's condition, providing a basis for developing personalized rehabilitation plans.

[0003] Prior to the technology of the present invention, the existing quantitative evaluation methods for the effect and scope of exercise rehabilitation mainly adopted methods based on subjective evaluation and simple physical measurements. These methods often rely on the personal experience and judgment of doctors or therapists, such as observing the patient's exercise performance, asking the patient's feelings, or using basic measurement tools to evaluate the patient's rehabilitation progress. The limitations of these methods are that they may lack accuracy and objectivity and cannot provide detailed and quantitative data support. The difficulties and key points of the technology include: previous evaluation methods are difficult to give specific numerical values to represent the degree and effect of rehabilitation, which makes the evaluation results more affected by subjective factors. How to effectively integrate different types of physiological, psychological and functional indicator data to obtain a comprehensive rehabilitation evaluation view is a challenge. Each patient's conditions and reactions are unique, and it is key to develop an evaluation plan that can adapt to individual differences. Summary of the Invention

[0004] In response to these challenges, this paper proposes a method and system for quantitatively evaluating the effectiveness and scope of exercise rehabilitation. This system establishes a multidimensional evaluation index system, integrates data from various sensors and tests through a centralized data management system, and applies data analysis algorithms (such as machine learning) to process and analyze the data. This method objectively quantifies rehabilitation outcomes and provides strong support for the formulation of rehabilitation recommendations.

[0005] According to a first aspect of an embodiment of the present invention, a method for quantitatively evaluating the effect and range of exercise rehabilitation is provided.

[0006] In one or more embodiments, preferably, the method for quantitatively evaluating the effect and range of exercise rehabilitation includes:

[0007] Setting up a database for storing physiological indicators, functional indicators and psychological indicators;

[0008] Obtain complete data information and total duration in historical data;

[0009] Collect physiological data in real time through wearable devices or non-invasive monitoring devices to calculate comprehensive physiological unhealthiness;

[0010] Set up a standardized exercise system and form an exercise test index;

[0011] Form psychological indicators through survey forms;

[0012] Comprehensive analysis and presentation are conducted based on comprehensive physiological health status, exercise test index and psychological indicators.

[0013] In one or more embodiments, preferably, a database is provided, and the database is used to store physiological indicators, functional indicators, and psychological indicators, specifically including:

[0014] Setting the physiological indicators to include heart rate, blood pressure and electrocardiogram indicators;

[0015] Setting the psychological indicators to include emotion survey indicators and pain survey indicators;

[0016] The functional indicators are set to include joint movement, muscle strength and balance ability tests.

[0017] In one or more embodiments, preferably, the acquiring of historical data has acquired complete data information and total duration, specifically including:

[0018] Obtain all historical data in the database and extract all fully recovered patient information as complete data information;

[0019] Extracting the recovery duration based on the complete data information, wherein the recovery duration is the time required for the recovery degree to reach 95%;

[0020] Calculate the recovery curve coefficient using the first calculation formula;

[0021] Setting a corresponding recovery curve coefficient for each patient in the complete data information;

[0022] The first calculation formula is:

[0023] 0.95=(1-e -kt );

[0024] Where t is the required time and k is the recovery curve coefficient.

[0025] In one or more embodiments, preferably, the real-time collection of physiological data by a wearable device or a non-invasive monitoring device and the calculation of the comprehensive physiological unhealthiness degree specifically include:

[0026] The wearable device collects the physiological data of the person being tested online, including heart rate and blood pressure;

[0027] Real-time physiological data acquisition and electrocardiogram collection through non-invasive devices;

[0028] Compare each physiological data with the preset data, and the comparison results form the degree of unhealthiness;

[0029] Calculate the comprehensive physiological unhealthiness using the second calculation formula;

[0030] The second calculation formula is:

[0031] ZS=Q1×XB+Q2×XY+Q3×XDT;

[0032] Among them, ZS is the comprehensive physiological unhealthiness, Q1 is weight 1, XB is the heart rate unhealthiness, Q2 is weight 2, XY is the blood pressure unhealthiness, Q3 is weight 3, and XDT is the electrocardiogram unhealthiness.

[0033] In one or more embodiments, preferably, setting up a standardized exercise system to form an exercise test index specifically includes:

[0034] Set up a series of standardized exercise testing procedures;

[0035] Set pass conditions for each test process;

[0036] If the conditions are not met, it is set as failed;

[0037] Calculating the exercise test index using the third calculation formula;

[0038] YDZ=GJX×GJZ+JRLX×JRLZ+PHLX×PHLZ;

[0039] Among them, YDZ is the movement test index, GJX is the joint movement test pass coefficient, GJZ is the joint movement test pass index, JRLX is the muscle strength test pass coefficient, JRLZ is the muscle strength test pass index, PHLX is the balance ability test pass coefficient, PHLZ is the muscle strength test pass index.

[0040] In one or more embodiments, preferably, forming a psychological indicator through a survey form specifically includes:

[0041] By filling in the questionnaire, we can obtain the pessimistic state score and perform normalization;

[0042] By filling in the questionnaire, the pain perception score was obtained and normalized;

[0043] Calculate psychological indicators using the fourth calculation formula;

[0044] The fourth calculation formula is:

[0045] XLZ=GYHB+TGZG;

[0046] Among them, XLZ is a psychological index, GYHB is a normalized index of emotional pessimism, and TGZG is a normalized index of pain perception score.

[0047] In one or more embodiments, preferably, the comprehensive analysis and display based on the comprehensive physiological unhealthiness, exercise test index and psychological indicators specifically includes:

[0048] forming a comprehensive recovery degree index based on the complete data information;

[0049] Use the fifth calculation formula to learn and obtain the optimal restitution coefficient group;

[0050] Calculate the comprehensive quantitative index using the sixth calculation formula based on the optimal recovery coefficient group;

[0051] Setting a corresponding score according to the preset range of the comprehensive quantitative index and displaying it;

[0052] The fifth calculation formula is:

[0053] {K1, K2, K3}=argmin t (k1×ZS+k2×YDZ+k3×XLZ-(1-e -kt ))÷n;

[0054] Among them, i is the number in the complete data information, n is the number of patients in the complete data information, argmin t To extract the value such that ∑i=ni=1(k1×ZS+k2×YDZ+k3×XLZ-(1-e -kt )) The function of the minimum k1, k2 and k3 values, 1-e -kt is the degree of recovery at recovery time t, (k1×ZS+k2×YDZ+k3×XLZ-(1-e -kt )) is used to measure the sum of the recovery degree under complete data information, argmin t Used to extract the corresponding optimal values of k1, k2, and k3 when the total sum of the deviations from the recovery degree of all complete data information is the minimum when the recovery time is t, where k1, k2, and k3 are a preset coefficient group. After the value ranges of k1, k2, and k3 are pre-set, the optimal values of k1, k2, and k3 calculated by the fifth calculation formula are stored in {K1, K2, K3}, k is a coefficient obtained according to the recovery time in the complete data information, and {K1, K2, K3} is the optimal recovery coefficient group;

[0055] The sixth calculation formula is:

[0056] ZHLHZ=K1×ZS+K2×YDZ+K3×XLZ;

[0057] Among them, ZHLHZ is a comprehensive quantitative index, ZS is a comprehensive physiological unhealthiness index, YDZ is a sports test index, and XLZ is a psychological index.

[0058] According to a second aspect of an embodiment of the present invention, a system for quantitatively evaluating the effect and range of exercise rehabilitation is provided.

[0059] In one or more embodiments, preferably, the system for quantitatively evaluating the effect and range of exercise rehabilitation includes:

[0060] A database setting module is used to set up a database for storing physiological indicators, functional indicators and psychological indicators;

[0061] The data extraction module is used to obtain the complete data information and total duration of historical data;

[0062] A first calculation module is used to collect physiological data in real time through a wearable device or a non-invasive monitoring device to calculate a comprehensive physiological unhealthiness;

[0063] The second calculation module is used to set up a standardized exercise system to form an exercise test index;

[0064] The third calculation module is used to form psychological indicators through survey forms;

[0065] The analysis and display module is used to conduct comprehensive analysis and display based on comprehensive physiological health, exercise test index and psychological indicators.

[0066] According to a third aspect of an embodiment of the present invention, a computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method according to any one of the first aspect of the embodiment of the present invention is implemented.

[0067] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement any one of the methods described in the first aspect of the embodiment of the present invention.

[0068] The technical solutions provided by the embodiments of the present invention may have the following beneficial effects:

[0069] The present invention establishes an evaluation index system encompassing three dimensions: physiological, psychological, and functional. This comprehensive approach covers the key factors influencing rehabilitation outcomes. This multi-faceted assessment approach helps more accurately reflect a patient's recovery status and provides a scientific basis for developing personalized rehabilitation plans.

[0070] In this approach, a centralized data management system integrates data from various sensors and tests, and applies data analysis algorithms (such as machine learning) to process and analyze the data. This approach objectively quantifies rehabilitation outcomes and provides strong support for the formulation of rehabilitation recommendations.

[0071] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0072] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0074] Figure 1 The present invention is a flowchart of a method for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention.

[0075] Figure 2 A method for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention includes setting a database for storing a flowchart of physiological indicators, functional indicators and psychological indicators.

[0076] Figure 3 This is a flowchart of obtaining complete data information and total duration from historical data in a method for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention.

[0077] Figure 4 The present invention is a flowchart of a method for quantitatively evaluating the effect and range of exercise rehabilitation in one embodiment of the present invention, which collects physiological data in real time through a wearable device or a non-invasive monitoring device and calculates the comprehensive physiological health level.

[0078] Figure 5This is a flow chart of setting a standardized exercise system and forming an exercise test index in a method for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention.

[0079] Figure 6 This is a flow chart of forming psychological indicators through a survey form in a method for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention.

[0080] Figure 7 This is a flowchart of a method for quantitatively evaluating the effect and scope of exercise rehabilitation according to an embodiment of the present invention, which comprehensively analyzes and displays the comprehensive physiological unhealthiness, exercise test index and psychological indicators.

[0081] Figure 8 This is a structural diagram of a system for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention.

[0082] Figure 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0083] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., and do not represent the order of precedence, nor do they limit "first" and "second" to be different types.

[0084] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0085] Exercise rehabilitation is a method used to help patients restore physical function and improve their quality of life through exercise and training. However, due to the lack of effective quantitative assessment methods, the effectiveness and scope of exercise rehabilitation are often difficult to accurately assess. The significance of effective and accurate assessment lies in providing a comprehensive and objective understanding of the patient's condition, providing a basis for developing personalized rehabilitation plans.

[0086] Prior to the technology of the present invention, the existing quantitative evaluation methods for the effect and scope of exercise rehabilitation mainly adopted methods based on subjective evaluation and simple physical measurements. These methods often rely on the personal experience and judgment of doctors or therapists, such as observing the patient's exercise performance, asking the patient's feelings, or using basic measurement tools to evaluate the patient's rehabilitation progress. The limitations of these methods are that they may lack accuracy and objectivity and cannot provide detailed and quantitative data support. The difficulties and key points of the technology include: previous evaluation methods are difficult to give specific numerical values to represent the degree and effect of rehabilitation, which makes the evaluation results more affected by subjective factors. How to effectively integrate different types of physiological, psychological and functional indicator data to obtain a comprehensive rehabilitation evaluation view is a challenge. Each patient's conditions and reactions are unique, and it is key to develop an evaluation plan that can adapt to individual differences.

[0087] An embodiment of the present invention provides a method and system for quantitatively evaluating the effectiveness and scope of exercise rehabilitation. This solution establishes a multidimensional evaluation indicator system, integrates data from various sensors and tests through a centralized data management system, and applies data analysis algorithms (such as machine learning techniques) to process and analyze the data. This method can objectively quantify rehabilitation effects and provide strong support for the formulation of rehabilitation recommendations.

[0088] According to a first aspect of an embodiment of the present invention, a method for quantitatively evaluating the effect and range of exercise rehabilitation is provided.

[0089] Figure 1 The present invention is a flowchart of a method for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention.

[0090] In one or more embodiments, preferably, the method for quantitatively evaluating the effect and range of exercise rehabilitation includes:

[0091] S101. Setting a database for storing physiological indicators, functional indicators, and psychological indicators;

[0092] S102, obtaining complete data information and total duration in historical data;

[0093] S103, collecting physiological data in real time through wearable devices or non-invasive monitoring devices, and calculating comprehensive physiological unhealthiness;

[0094] S104. Establish a standardized exercise system to form an exercise test index;

[0095] S105. Form psychological indicators through survey forms;

[0096] S106. Conduct comprehensive analysis and presentation based on comprehensive physiological unhealthiness, exercise test index, and psychological indicators.

[0097] In an embodiment of the present invention, an indicator system is constructed, which includes: physiological indicators (heart rate, blood pressure, muscle activity), psychological indicators (emotional state, pain perception) and functional indicators (joint range of motion, muscle strength, balance ability), and then online evaluation and analysis are performed based on the constructed indicators.

[0098] Figure 2 A method for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention includes setting a database for storing a flowchart of physiological indicators, functional indicators and psychological indicators.

[0099] like Figure 2 As shown, in one or more embodiments, preferably, a database is set up, and the database is used to store physiological indicators, functional indicators and psychological indicators, specifically including:

[0100] S201, setting the physiological indicators to include heart rate, blood pressure and electrocardiogram indicators;

[0101] S202, setting the psychological indicators to include an emotion survey indicator and a pain survey indicator;

[0102] S203. Setting the functional indicators to include joint activity, muscle strength and balance ability tests.

[0103] In this embodiment of the present invention, a database is set up in the system to store patients' physiological, functional, and psychological indicators. These indicators serve as basic data for evaluating patients' rehabilitation outcomes. Next, physiological indicators are set. In this embodiment, heart rate, blood pressure, and electrocardiogram (ECG) indicators are selected as representative physiological indicators. Heart rate refers to the number of heartbeats per minute, blood pressure refers to the lateral pressure exerted per unit area on the vessel wall as blood flows through the blood vessels, and the ECG uses electrodes to record changes in the heart's electrical activity. These physiological indicators can reflect a patient's cardiovascular health and physical function. Next, psychological indicators are set. In this embodiment, emotional survey indicators and pain survey indicators are selected as representative psychological indicators. The emotional survey indicator can obtain information on the patient's emotional state, such as the degree of negative emotions such as anxiety and depression, through questionnaires or interviews. The pain survey indicator can assess the patient's pain intensity using tools such as the Visual Analog Scale (VAS). These psychological indicators help understand the patient's psychological state and comfort level, providing a basis for developing personalized rehabilitation plans. Finally, functional indicators are set. In this embodiment, joint range of motion, muscle strength, and balance tests are selected as representative functional indicators. Joint mobility tests assess the patient's range of motion and flexibility; muscle strength tests assess muscle strength and endurance; and balance tests evaluate balance control and stability. These functional indicators reflect the patient's motor skills and ability to care for themselves in daily life, and are crucial for evaluating rehabilitation outcomes.

[0104] Figure 3 This is a flowchart of obtaining complete data information and total duration from historical data in a method for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention.

[0105] like Figure 3 As shown, in one or more embodiments, preferably, the acquisition of historical data has acquired complete data information and total duration, specifically including:

[0106] S301. Obtain all historical data in the database and extract all fully recovered patient information as complete data information;

[0107] S302. Extracting a recovery duration based on the complete data information, wherein the recovery duration is the time required for the recovery degree to reach 95%;

[0108] S303, calculating the recovery curve coefficient using the first calculation formula;

[0109] S304, setting a corresponding recovery curve coefficient for each patient in the complete data information;

[0110] The first calculation formula is:

[0111] 0.95=(1-e -kt );

[0112] Where t is the required time and k is the recovery curve coefficient.

[0113] In this embodiment of the present invention, a database is set up in the system to store patients' physiological, functional, and psychological indicators. These indicators serve as basic data for evaluating patients' rehabilitation outcomes. Next, physiological indicators are set. In this embodiment, heart rate, blood pressure, and electrocardiogram (ECG) indicators are selected as representative physiological indicators. Heart rate refers to the number of heartbeats per minute, blood pressure refers to the lateral pressure exerted per unit area on the vessel wall as blood flows through the blood vessels, and the ECG uses electrodes to record changes in the heart's electrical activity. These physiological indicators can reflect a patient's cardiovascular health and physical function. Next, psychological indicators are set. In this embodiment, emotional survey indicators and pain survey indicators are selected as representative psychological indicators. The emotional survey indicator can obtain information on the patient's emotional state, such as the degree of negative emotions such as anxiety and depression, through questionnaires or interviews. The pain survey indicator can assess the patient's pain intensity using tools such as the Visual Analog Scale (VAS). These psychological indicators help understand the patient's psychological state and comfort level, providing a basis for developing personalized rehabilitation plans. Finally, functional indicators are set. In this embodiment, joint range of motion, muscle strength, and balance tests are selected as representative functional indicators. Joint mobility tests assess the patient's range of motion and flexibility; muscle strength tests assess muscle strength and endurance; and balance tests evaluate balance control and stability. These functional indicators reflect the patient's motor skills and ability to care for themselves in daily life, and are crucial for evaluating rehabilitation outcomes.

[0114] Figure 4 The present invention is a flowchart of a method for quantitatively evaluating the effect and range of exercise rehabilitation in one embodiment of the present invention, which collects physiological data in real time through a wearable device or a non-invasive monitoring device and calculates the comprehensive physiological health level.

[0115] like Figure 4 As shown, in one or more embodiments, preferably, the real-time collection of physiological data by a wearable device or a non-invasive monitoring device and the calculation of the comprehensive physiological unhealthiness specifically include:

[0116] S401, collecting physiological data of the person being tested online through a wearable device, including heart rate and blood pressure;

[0117] S402, collecting real-time physiological data and electrocardiogram using non-invasive equipment;

[0118] S403, comparing each physiological data with the preset data, and forming an unhealthy degree based on the comparison result;

[0119] S404, calculating the comprehensive physiological unhealthiness using the second calculation formula;

[0120] The second calculation formula is:

[0121] ZS=Q1×XB+Q2×XY+Q3×XDT;

[0122] Among them, ZS is the comprehensive physiological unhealthiness, Q1 is weight 1, XB is the heart rate unhealthiness, Q2 is weight 2, XY is the blood pressure unhealthiness, Q3 is weight 3, and XDT is the electrocardiogram unhealthiness.

[0123] In an embodiment of the present invention, physiological data is collected in real time through a wearable device or a non-invasive monitoring device to calculate the comprehensive physiological unhealthiness; the physiological data of the person being tested is collected online through the wearable device, including heart rate and blood pressure; real-time physiological data collection and electrocardiogram collection are performed through a non-invasive device; each physiological data is compared with preset data, and the comparison result forms the degree of unhealthiness; the comprehensive physiological unhealthiness is calculated using a second calculation formula; the second calculation formula is: ZS=Q1×XB+Q2×XY+Q3×XDT; wherein ZS is the comprehensive physiological unhealthiness, Q1 is weight 1, XB is heart rate unhealthiness, Q2 is weight 2, XY is blood pressure unhealthiness, Q3 is weight 3, and XDT is electrocardiogram unhealthiness.

[0124] Figure 5 This is a flow chart of setting a standardized exercise system and forming an exercise test index in a method for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention.

[0125] like Figure 5 As shown, in one or more embodiments, preferably, setting a standardized exercise system to form an exercise test index specifically includes:

[0126] S501, setting up a series of standardized exercise test processes;

[0127] S502, setting a pass condition for each test process;

[0128] S503: If the conditions are not met, the result is set as failed.

[0129] S504, calculating the motion test index using a third calculation formula;

[0130] The third calculation formula is:

[0131] YDZ=GJX×GJZ+JRLX×JRLZ+PHLX×PHLZ;

[0132] Among them, YDZ is the movement test index, GJX is the joint movement test pass coefficient, GJZ is the joint movement test pass index, JRLX is the muscle strength test pass coefficient, JRLZ is the muscle strength test pass index, PHLX is the balance ability test pass coefficient, PHLZ is the muscle strength test pass index.

[0133] In this embodiment of the present invention, first, to comprehensively and objectively evaluate the patient's exercise rehabilitation outcomes, the system establishes a standardized exercise system. This system includes a series of standardized exercise testing procedures covering key aspects such as joint mobility, muscle strength, and balance. Then, for each test procedure, the system sets clear pass criteria. These criteria are based on medical knowledge and clinical experience to ensure the accuracy and reliability of the test results. If a patient does not meet a condition, the test procedure will be marked as failed. Next, the exercise test index is calculated using a third calculation formula: YDZ = GJX × GJZ + JRLX × JRLZ + PHLX × PHLZ; where YDZ is the exercise test index, GJX is the joint mobility test pass coefficient, GJZ is the joint mobility test pass index, JRLX is the muscle strength test pass coefficient, JRLZ is the muscle strength test pass index, PHLX is the balance test pass coefficient, and PHLZ is the muscle strength test pass index. Using this formula, the pass scores of each test procedure are weighted and summed to obtain a comprehensive exercise test index. Finally, the patient's exercise rehabilitation effect is evaluated based on the calculated exercise test index. This index can help doctors better understand the patient's exercise ability and rehabilitation progress, and provide a basis for them to develop personalized exercise rehabilitation plans.

[0134] Figure 6 This is a flow chart of forming psychological indicators through a survey form in a method for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention.

[0135] like Figure 6 As shown, in one or more embodiments, preferably, forming the psychological indicators through the survey form specifically includes:

[0136] S601. Obtain a pessimistic mood score by filling out a questionnaire and perform normalization processing;

[0137] S602. Obtain pain perception scores by filling out a questionnaire and perform normalization processing;

[0138] S603. Calculate the psychological index using the fourth calculation formula;

[0139] The fourth calculation formula is:

[0140] XLZ=GYHB+TGZG;

[0141] Among them, XLZ is a psychological index, GYHB is a normalized index of emotional pessimism, and TGZG is a normalized index of pain perception score.

[0142] In this embodiment of the present invention, (a) a psychological index is generated using a survey form; (b) a pessimism score is obtained and normalized by completing the survey form; (c) a pain perception score is obtained and normalized by completing the survey form; (d) a psychological index is calculated using a fourth calculation formula; (e) the fourth calculation formula is: XLZ = GYHB + TGZG; where XLZ is the psychological index, GYHB is the normalized pessimism score, and TGZG is the normalized pain perception score. The specific implementation is as follows: First, to fully understand the patient's psychological condition, the system designs a detailed survey form. This form contains multiple questions designed to assess the patient's emotional state and pain perception. Then, by completing the survey form, the patient's pessimism score is obtained. This score reflects the patient's level of emotional pessimism. To facilitate subsequent calculations and analysis, this score is normalized to a value between 0 and 1. Next, by also completing the survey form, the patient's pain perception score is obtained. This score reflects the patient's level of pain perception. This score is also normalized. Next, the fourth formula is used to calculate the psychological index. This formula sums the normalized indices of pessimism and pain perception to create a comprehensive psychological index. Finally, the patient's psychological state is assessed based on this calculated psychological index. This index can help doctors better understand their patients' psychological conditions and provide necessary psychological support and intervention.

[0143] Figure 7 This is a flowchart of a method for quantitatively evaluating the effect and scope of exercise rehabilitation according to an embodiment of the present invention, which comprehensively analyzes and displays the comprehensive physiological unhealthiness, exercise test index and psychological indicators.

[0144] like Figure 7 As shown, in one or more embodiments, preferably, the comprehensive analysis and display based on the comprehensive physiological unhealthiness, exercise test index and psychological indicators specifically includes:

[0145] S701. Generating a comprehensive recovery degree index based on the complete data information;

[0146] S702, using the fifth calculation formula to learn and obtain an optimal restitution coefficient group;

[0147] S703, calculating the comprehensive quantitative index using the sixth calculation formula according to the optimal recovery coefficient group;

[0148] S704: setting a corresponding score according to the preset range of the comprehensive quantitative index and displaying it;

[0149] The fifth calculation formula is:

[0150] {K1, K2, K3}=argmin t (k1×ZS+k2×YDZ+k3×XLZ-(1-e -kt ))÷n;

[0151] Among them, i is the number in the complete data information, n is the number of patients in the complete data information, argmin t To extract the value such that ∑i=ni=1(k1×ZS+k2×YDZ+k3×XLZ-(1-e -kt )) The function of the minimum k1, k2 and k3 values, 1-e -kt is the degree of recovery at recovery time t, (k1×ZS+k2×YDZ+k3×XLZ-(1-e -kt )) is used to measure the sum of the recovery degree under complete data information, argmin t Used to extract the corresponding optimal values of k1, k2, and k3 when the total sum of the deviations from the recovery degree of all complete data information is the minimum when the recovery time is t, where k1, k2, and k3 are a preset coefficient group. After the value ranges of k1, k2, and k3 are pre-set, the optimal values of k1, k2, and k3 calculated by the fifth calculation formula are stored in {K1, K2, K3}, k is a coefficient obtained according to the recovery time in the complete data information, and {K1, K2, K3} is the optimal recovery coefficient group;

[0152] The sixth calculation formula is:

[0153] ZHLHZ=K1×ZS+K2×YDZ+K3×XLZ;

[0154] Among them, ZHLHZ is a comprehensive quantitative index.

[0155] In this embodiment of the present invention, to comprehensively assess a patient's recovery outcomes, the system first analyzes three key indicators: physiological unhealthiness, exercise test index, and psychological indicators. These indicators reflect the patient's recovery status from three dimensions: physiological, motor, and psychological. Then, based on the complete data, the system generates a comprehensive recovery index. This index quantifies the patient's overall recovery status, taking into account physiological, motor, and psychological factors. Next, the system uses the fifth calculation formula to learn the optimal recovery coefficient set. This formula minimizes error to find the optimal recovery coefficient combination, enabling the comprehensive quantitative index to more accurately reflect the patient's recovery status. This process considers each patient's complete data, including their patient number, recovery time, and corresponding physiological unhealthiness, exercise test index, and psychological indicators. Next, based on the obtained optimal recovery coefficient set, the system calculates the comprehensive quantitative index using the sixth calculation formula. This index is the result of a weighted summation, optimizing the weights of physiological unhealthiness, exercise test index, and psychological indicators to more comprehensively reflect the patient's recovery status. Finally, based on the preset comprehensive quantitative index range, the system assigns a corresponding score to each patient and displays it. This score can help quickly understand the recovery status.

[0156] According to a second aspect of an embodiment of the present invention, a system for quantitatively evaluating the effect and range of exercise rehabilitation is provided.

[0157] Figure 8 This is a structural diagram of a system for quantitatively evaluating the effect and range of exercise rehabilitation according to an embodiment of the present invention.

[0158] In one or more embodiments, preferably, the system for quantitatively evaluating the effect and range of exercise rehabilitation includes:

[0159] A database setting module 801 is used to set up a database for storing physiological indicators, functional indicators and psychological indicators;

[0160] The data extraction module 802 is used to obtain the complete data information and total duration in the historical data;

[0161] The first calculation module 803 is used to collect physiological data in real time through a wearable device or a non-invasive monitoring device to calculate the comprehensive physiological unhealthiness;

[0162] The second calculation module 804 is used to set a standardized exercise system to form an exercise test index;

[0163] The third calculation module 805 is used to form psychological indicators through the survey form;

[0164] The analysis and display module 806 is used to perform comprehensive analysis and display based on the comprehensive physiological unhealthiness, exercise test index and psychological indicators.

[0165] In the embodiment of the present invention, a system applicable to different structures is realized through a series of modular designs. The system can achieve closed-loop, reliable and efficient execution through collection, analysis and control.

[0166] According to a third aspect of an embodiment of the present invention, a computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method according to any one of the first aspect of the embodiment of the present invention is implemented.

[0167] According to a fourth aspect of the embodiments of the present invention, an electronic device is provided. Figure 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Figure 9 The electronic device shown is a general-purpose exercise rehabilitation effect and range quantitative evaluation device. Figure 9 The electronic device may be a smart phone, a tablet computer, or the like. The electronic device 900 includes a processor 901 and a memory 902. The processor 901 is electrically connected to the memory 902.

[0168] The processor 901 is the control center of the electronic device 900. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or calling computer programs stored in the memory 902 and calling data stored in the memory 902, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole.

[0169] In this embodiment, the processor 901 in the electronic device 900 will load the instructions corresponding to the processes of one or more computer programs into the memory 902 according to the following steps, and the processor 901 will run the computer program stored in the memory 902 to realize various functions, such as: setting up a database, the database is used to store physiological indicators, functional indicators and psychological indicators; obtaining complete data information and total duration in historical data; collecting physiological data in real time through wearable devices or non-invasive monitoring devices, and calculating comprehensive physiological unhealthiness; setting up a standardized exercise system to form an exercise test index; forming psychological indicators through survey forms; and conducting comprehensive analysis and display based on comprehensive physiological unhealthiness, exercise test index and psychological indicators.

[0170] In some embodiments, the electronic device 900 may further include: a display 903, a radio frequency circuit 904, an audio circuit 905, a wireless fidelity module 906, and a power supply 907. The display 903, the radio frequency circuit 904, the audio circuit 905, the wireless fidelity module 906, and the power supply 907 are electrically connected to the processor 901, respectively.

[0171] The display 903 can be used to display information input by the user or information provided to the user, as well as various graphical user interfaces. These graphical user interfaces can be composed of graphics, text, icons, videos, or any combination thereof. The display 903 can include a display panel. In some embodiments, the display panel can be configured in the form of a liquid crystal display (LCD) or an organic light-emitting diode (OLED).

[0172] The radio frequency circuit 904 can be used to transmit and receive radio frequency signals, so as to establish wireless communication with a network device or other electronic devices through wireless communication, and to transmit and receive signals with the network device or other electronic devices.

[0173] The audio circuit 905 may be configured to provide an audio interface between a user and the electronic device via a speaker and a microphone.

[0174] The Wi-Fi module 906 can be used for short-range wireless transmission, and can help users send and receive emails, browse websites, and access streaming media, etc. It provides users with wireless broadband Internet access.

[0175] The power supply 907 can be used to supply power to various components of the electronic device 900. In some embodiments, the power supply 907 can be logically connected to the processor 901 through a power management system, thereby managing charging, discharging, and power consumption through the power management system.

[0176] although Figure 9 Not shown, the electronic device 900 may also include a camera, a Bluetooth module, etc., which will not be described in detail here.

[0177] The technical solutions provided by the embodiments of the present invention may have the following beneficial effects:

[0178] The present invention establishes an evaluation index system encompassing three dimensions: physiological, psychological, and functional. This comprehensive approach covers the key factors influencing rehabilitation outcomes. This multi-faceted assessment approach helps more accurately reflect a patient's recovery status and provides a scientific basis for developing personalized rehabilitation plans.

[0179] In this approach, a centralized data management system integrates data from various sensors and tests, and applies data analysis algorithms (such as machine learning) to process and analyze the data. This approach objectively quantifies rehabilitation outcomes and provides strong support for the formulation of rehabilitation recommendations.

[0180] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage and optical storage) containing computer-usable program code.

[0181] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0182] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0183] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0184] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for quantitatively evaluating the effect and range of exercise rehabilitation, characterized in that: The method includes: Setting up a database for storing physiological indicators, functional indicators and psychological indicators; Obtain complete data information and total duration in historical data; Collect physiological data in real time through wearable devices or non-invasive monitoring devices to calculate comprehensive physiological unhealthiness; Set up a standardized exercise system and form an exercise test index; Form psychological indicators through survey forms; Comprehensive analysis and presentation based on comprehensive physiological unhealthiness, exercise test index and psychological indicators; The comprehensive analysis and display based on comprehensive physiological unhealthiness, exercise test index and psychological indicators specifically include: forming a comprehensive recovery degree index based on the complete data information; Use the fifth calculation formula to learn and obtain the optimal restitution coefficient group; Calculate the comprehensive quantitative index using the sixth calculation formula based on the optimal recovery coefficient group; Setting a corresponding score according to the preset range of the comprehensive quantitative index and displaying it; The fifth calculation formula is: ； Among them, i is the number in the complete data information, n is the number of patients in the complete data information, argmin t To extract (k1×ZS i +k2×YDZ i +k3×XLZ i -(1-e )) The function of the minimum k1, k2 and k3 values, 1-e is the degree of recovery at recovery time t, (k1×ZS i +k2×YDZ i +k3×XLZ i -(1-e )) is used to measure the sum of the recovery degree under complete data information, argmin t It is used to extract the corresponding optimal values of k1, k2 and k3 when the total sum of the deviations from the recovery degree of all complete data information is the minimum when the recovery time is t, wherein k1, k2 and k3 are preset coefficient groups. After the value ranges of k1, k2 and k3 are preset, the optimal values of k1, k2 and k3 calculated by the fifth calculation formula are stored in {K1, K2, K3}, k is the coefficient obtained according to the recovery time in the complete data information, {K1, K2, K3} is the optimal recovery coefficient group, ZS i is the comprehensive physiological unhealthiness corresponding to number i, YDZ i is the exercise test index corresponding to number i, XLZ i is the psychological indicator corresponding to number i; The sixth calculation formula is: ZHLHZ=K1×ZS+K2×YDZ+K3×XLZ; Among them, ZHLHZ is a comprehensive quantitative index, ZS is a comprehensive physiological unhealthiness index, YDZ is a sports test index, and XLZ is a psychological index.

2. A method for quantitatively evaluating the effect and range of exercise rehabilitation according to claim 1, characterized in that: The database is set up to store physiological indicators, functional indicators and psychological indicators, specifically including: Setting the physiological indicators to include heart rate, blood pressure and electrocardiogram indicators; Setting the psychological indicators to include emotion survey indicators and pain survey indicators; The functional indicators are set to include joint movement, muscle strength and balance ability tests.

3. The method for quantitatively evaluating the effect and range of exercise rehabilitation according to claim 1, wherein: The historical data acquisition has already acquired complete data information and total duration, specifically including: Obtain all historical data in the database and extract all fully recovered patient information as complete data information; Extracting the recovery duration based on the complete data information, wherein the recovery duration is the time required for the recovery degree to reach 95%; Calculate the recovery curve coefficient using the first calculation formula; Setting a corresponding recovery curve coefficient for each patient in the complete data information; The first calculation formula is: 0.95=(1-e -kt )； Where t is the required time, k is the recovery curve coefficient, and e is the natural constant.

4. A method for quantitatively evaluating the effect and range of exercise rehabilitation according to claim 1, characterized in that: The real-time collection of physiological data by wearable devices or non-invasive monitoring devices and calculation of comprehensive physiological unhealthiness specifically include: The wearable device collects the physiological data of the person being tested online, including heart rate and blood pressure; Real-time physiological data acquisition and electrocardiogram collection through non-invasive devices; Compare each physiological data with the preset data, and the comparison results form the degree of unhealthiness; Calculate the comprehensive physiological unhealthiness using the second calculation formula; The second calculation formula is: ZS=Q1×XB+Q2×XY+Q3×XDT; Among them, ZS is the comprehensive physiological unhealthiness, Q1 is weight 1, XB is the heart rate unhealthiness, Q2 is weight 2, XY is the blood pressure unhealthiness, Q3 is weight 3, and XDT is the electrocardiogram unhealthiness.

5. The method for quantitatively evaluating the effect and range of exercise rehabilitation according to claim 1, wherein: The setting of a standardized exercise system to form an exercise test index specifically includes: Set up a series of standardized exercise testing procedures; Set pass conditions for each test process; If the conditions are not met, it is set as failed; Calculating the exercise test index using the third calculation formula; YDZ=GJX×GJZ+JRLX×JRLZ+PHLX×PHLZ; Among them, YDZ is the movement test index, GJX is the joint movement test pass coefficient, GJZ is the joint movement test pass index, JRLX is the muscle strength test pass coefficient, JRLZ is the muscle strength test pass index, PHLX is the balance ability test pass coefficient, PHLZ is the balance ability test pass index.

6. A method for quantitatively evaluating the effect and range of exercise rehabilitation according to claim 1, characterized in that: The psychological indicators formed through the survey form specifically include: By filling in the questionnaire, we can obtain the emotional pessimism score and perform normalization; By filling in the questionnaire, the pain perception score was obtained and normalized; Calculate psychological indicators using the fourth calculation formula; The fourth calculation formula is: XLZ=GYHB+TGZG; Among them, XLZ is a psychological index, GYHB is a normalized index of emotional pessimism, and TGZG is a normalized index of pain perception score.

7. A system for quantitatively evaluating the effect and range of exercise rehabilitation, characterized in that: The system is used to implement the method according to any one of claims 1 to 6, and the system comprises: A database setting module is used to set up a database for storing physiological indicators, functional indicators and psychological indicators; The data extraction module is used to obtain the complete data information and total duration of historical data; A first calculation module is used to collect physiological data in real time through a wearable device or a non-invasive monitoring device to calculate a comprehensive physiological unhealthiness; The second calculation module is used to set up a standardized exercise system to form an exercise test index; The third calculation module is used to form psychological indicators through survey forms; The analysis and display module is used to conduct comprehensive analysis and display based on comprehensive physiological health, exercise test index and psychological indicators.

8. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method according to any one of claims 1 to 6 when executed by a processor.

9. An electronic device comprising a memory and a processor, characterized in that: The memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1 to 6.

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