Risk early warning interaction method and system for intelligent ankle pump training detection analysis

Abstract

The invention relates to the technical field of risk early warning, and particularly discloses a risk early warning interaction method and system for intelligent ankle pump training detection and analysis. The method comprises the following steps of S1, establishing an ankle pump trainer database, S2, collecting ankle pump training data of a trainer, S3, analyzing physiological index data, S4, evaluating physiological index abnormity, S5, analyzing ankle joint activity data, S6, evaluating ankle joint injury risk, and S7, evaluating ankle joint injury risk. Step S8, establishing a risk early warning index model and carrying out risk assessment; and step S8, carrying out risk early warning interaction. By analyzing the physiological index abnormity evaluation coefficient, the ankle joint injury risk coefficient and the ankle pump training risk early warning index, risk grade division is carried out, early warning interaction information display is carried out on risks of different grades, and through real-time physiological index feedback and injury risk evaluation, a trainee is helped to know the training state of the trainee in time.

Description

Technical Field

[0001] The present invention relates to the technical field of risk warning, and in particular to a risk warning interaction method and system for intelligent ankle pump training detection and analysis. Background Art

[0002] Ankle pump training is a commonly used rehabilitation training method, mainly used to promote blood circulation in the lower limbs, prevent deep vein thrombosis and enhance ankle joint function. This training is especially important for postoperative patients, long-term bedridden patients and people who need to restore ankle joint function. Through regular ankle joint exercises, blood circulation can be effectively improved, the risk of thrombosis can be reduced, and joint flexibility and muscle strength can be improved.

[0003] In the Chinese invention application with application publication number CN115844359B, a risk warning interactive system and a smart anklet for intelligent ankle pump training detection and analysis are disclosed, including: obtaining collected information through the smart anklet, wherein the collected information includes the ankle pump movement information of the smart anklet wearer and / or the blood flow rate value of the wearer; the smart anklet uploads the collected information to the cloud for intelligent analysis; the smart anklet analyzes locally to obtain the wearer's achievement of the training task and sends it to the cloud.

[0004] In the above invention application, the cloud determines whether the wearer's training has completed the training completion index based on the achievement status; according to the completion status of the training completion index, the wearer is given interactive prompt information through the smart anklet, wherein the interactive prompt information includes encouraging prompt information. In the above invention application, only the wearer's blood flow velocity value is monitored, and other physiological indicators are not monitored, and the analysis is not comprehensive enough; and only the ankle pump movement information is analyzed, and the ankle pump injury risk analysis and evaluation are not performed. The interactive information described in the above invention application is only encouraging prompt information, and the ankle pump training risk is not divided into grades, and there is no early warning information interaction for different levels of risks. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a risk warning interaction method and system for intelligent ankle pump training detection and analysis to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a risk warning interaction method for intelligent ankle pump training detection and analysis, comprising the following steps: step S1: establishing an ankle pump trainer database, step S2: collecting trainers' ankle pump training data, step S3: analyzing physiological indicator data, step S4: performing physiological indicator abnormality assessment, step S5: analyzing ankle joint activity data, step S6: performing ankle joint injury risk assessment, step S7: establishing a risk warning index model and performing risk assessment, and step S8: performing risk warning interaction.

[0007] Step S1: Establishing an ankle pump trainer database: establishing a database of trainer's personal information, training indicators and ankle pump training data information, for storing and updating trainer's ankle pump training data; Step S2: Collecting the trainee's ankle pump training data: collecting the trainee's ankle pump training data, wherein the ankle pump training data includes physiological index data and ankle joint activity data; Step S3: Analyze the physiological index data: establish a physiological index abnormality evaluation coefficient model according to the physiological index data collected in step S2, and calculate the physiological index abnormality evaluation coefficient; Step S4: Performing physiological index abnormality assessment: comparing the physiological index abnormality assessment coefficient in step S3 with a preset threshold value to determine the abnormality of the physiological index, and performing early warning interaction for the abnormality; Step S5: analyzing the ankle joint activity data: establishing an ankle joint injury risk coefficient model according to the ankle joint activity data collected in step S2, and calculating the ankle joint injury risk coefficient; Step S6: Conducting ankle injury risk assessment: comparing the ankle injury risk coefficient in step S5 with a preset threshold to determine the ankle injury risk situation, and conducting early warning interaction on the risk situation; Step S7: Establishing a risk warning index model and conducting risk assessment: establishing a risk warning index model to calculate the ankle pump training risk warning index based on the physiological index abnormality assessment coefficient and the ankle injury risk coefficient, and conducting risk level assessment on the ankle pump training risk warning index; Step S8: Conduct risk warning interaction: establish a risk warning interaction interface to display training reports, training progress, risk warning information and training suggestions, so that trainees can understand their own training status.

[0008] Preferably, the personal information includes the trainee's age, gender, weight, medical history and personal thresholds of physiological indicators, and the training indicators specifically include the set training duration, number of training sessions and exercise speed during training.

[0009] Preferably, the physiological indicator data include actual measured values ​​of various physiological indicators, normal average values ​​of various physiological indicators, normal standard deviations of various physiological indicators and ambient temperature; the ankle joint activity data include the lever arm, the force generated by muscle contraction, the angle between the lever arm and the muscle force, the number of ankle pump training times of the trainee, the duration of the ankle pump training of the trainee and the movement speed of the ankle pump training of the trainee, the lever arm refers to the vertical distance from the center of the ankle joint to the line of action of the force applied to the foot.

[0010] Preferably, the calculation steps of the physiological index abnormality assessment coefficient are as follows: Step S31: Calculate the weighted abnormal score of physiological indicators WAS , the calculation model is as follows: ,in, N Expressed as the number of physiological indicators, W i It is represented by the weight of the ith physiological index, i is represented by the number of the physiological index, X i Represented as the actual measured value of the ith physiological index, μ i Expressed as the normal average value of the ith physiological index, Expressed as the normal standard deviation of the ith physiological index, p It is expressed as a power exponent, which is used to adjust the influence of outliers, where p ≥ 1; Step S32: Calculate the physiological index abnormality assessment coefficient AEC , the calculation model is as follows: ,in, AEC It is represented as the abnormal evaluation coefficient of physiological indicators, λ is represented as other influencing factors of physiological indicators, T Expressed as ambient temperature, T id It is the ideal temperature for human body adaptation. WAS It is expressed as the weighted abnormal score of physiological indicators, and e is represented as a natural constant.

[0011] Preferably, the specific content of the abnormal physiological index assessment in step S4 is: The abnormality assessment coefficient of the physiological indicators is compared with the preset abnormality threshold. If the abnormality assessment coefficient of the physiological indicators is less than or equal to the preset abnormality threshold, the judgment result is that the physiological indicators of the ankle pump trainer are normal. If the abnormality assessment coefficient of the physiological indicators is greater than the preset abnormality threshold, the judgment result is that the physiological indicators of the ankle pump trainer are abnormal. The data judged as abnormal physiological indicators of the ankle pump trainer will be warned and displayed visually on the trainer's mobile device, and training suggestions for abnormal data values ​​of physiological indicators will be provided to the trainer.

[0012] Preferably, the calculation steps of the ankle injury risk coefficient are as follows: Step S51: Calculate ankle joint torque AJT , the calculation model is as follows: ,in, Ra It is expressed as the moment arm, which is the vertical distance from the center of the ankle joint to the line of action of the force applied to the foot, and Fm is the force generated by muscle contraction. It is expressed as the angle between the moment arm and the muscle force; Step S52: Calculate ankle injury risk coefficient DRC , the calculation model is as follows: ,in, DRC Expressed as the ankle injury risk factor, AJT Expressed as ankle joint torque, AJT max is represented by the maximum ankle joint torque, e is represented by the natural constant, Tf It is expressed as the number of ankle pump trainings performed by the trainee. Tf 预 Indicated as the preset maximum number of ankle pump training times, Td Indicates the duration of the trainee's ankle pump training. Td 预 Indicates the preset maximum ankle pump training time. Ms Indicates the speed of the trainee's ankle pump training. Ms 预 Indicated as the preset maximum ankle pump training exercise speed, are respectively represented by the number of ankle pump training, the duration of ankle pump training, and the weight of the ankle pump training speed, and .

[0013] Preferably, the specific content of the ankle injury risk assessment in step S6 is: The ankle injury risk coefficient is compared with the preset risk threshold. If the ankle injury risk coefficient is less than or equal to the preset risk threshold, the judgment result is that the ankle pump trainee has no ankle injury risk. If the ankle injury risk coefficient is greater than the preset risk threshold, the judgment result is that the ankle pump trainee has ankle injury risk. The data that is judged to be at risk of ankle injury for the ankle pump trainee will be warned and displayed visually on the trainee's mobile device, and training suggestions for the ankle injury risk data values ​​will be provided to the trainee.

[0014] Preferably, the mathematical model of the ankle pump training risk warning index is specifically: ,in, RWI It is expressed as the ankle pump training risk warning index. AECExpressed as the physiological index abnormality assessment coefficient, DRC It is expressed as the ankle injury risk coefficient, and β is expressed as other influencing factors of the ankle pump training risk warning index.

[0015] Preferably, the specific content of the risk level assessment of the ankle pump training risk warning index in step S7 is: The ankle pump training risk warning index is compared with the preset warning range. If the ankle pump training risk warning index is within the first warning range, the ankle pump training risk level is judged to be mild, and a warning interaction message of mild risk level is issued; if the ankle pump training risk warning index is within the second warning range, the ankle pump training risk level is judged to be medium, and a warning interaction message of medium risk level is issued; if the ankle pump training risk warning index is within the third warning range, the ankle pump training risk level is judged to be severe, and a warning interaction message of severe risk level is issued.

[0016] To achieve the above object, the present invention provides the following technical solutions: a risk warning interactive system for intelligent ankle pump training detection and analysis, implementing the above-mentioned risk warning interactive method for intelligent ankle pump training detection and analysis, including: establishing an ankle pump trainer database module, an ankle pump training data acquisition module, a physiological index data analysis module, a physiological index abnormality assessment module, an ankle joint activity data analysis module, an ankle joint injury risk assessment module, a risk warning assessment module and a risk warning interactive module; The module for establishing an ankle pump trainer database is used to establish a database of trainer's personal information, training indicators and ankle pump training data information, and store and update trainer's ankle pump training data; The ankle pump training data collection module is used to collect the trainee's ankle pump training data, wherein the ankle pump training data includes physiological index data and ankle joint activity data; The physiological index data analysis module establishes a physiological index abnormality evaluation coefficient model according to the physiological index data collected by the ankle pump training data collection module, and calculates the physiological index abnormality evaluation coefficient; The physiological index abnormality assessment module is used to compare the physiological index abnormality assessment coefficient in the physiological index data analysis module with a preset threshold value to determine the abnormality of the physiological index, and to perform early warning interaction for the abnormality; The ankle joint activity data analysis module establishes an ankle joint injury risk coefficient model based on the ankle joint activity data collected by the ankle pump training data collection module, and calculates the ankle joint injury risk coefficient; The ankle injury risk assessment module is used to compare the ankle injury risk coefficient in the ankle activity data analysis module with a preset threshold value to determine the ankle injury risk situation, and to perform early warning interaction on the risk situation; The risk warning assessment module establishes a risk warning index model according to the abnormal physiological index assessment coefficient and the ankle injury risk coefficient to calculate the ankle pump training risk warning index, and performs risk level assessment on the ankle pump training risk warning index; The risk warning interaction module is used to establish a risk warning interaction interface for displaying training reports, training progress, risk warning information and training suggestions, so as to facilitate trainees to understand their own training status.

[0017] Technical effects and advantages of the present invention: 1. Through these multi-dimensional data collection, the system of the present invention can comprehensively analyze the trainee's condition and provide data support for risk warning and personalized training; 2. The present invention collects ankle pump training data, analyzes to obtain physiological index abnormality assessment coefficients and ankle injury risk coefficients, and then analyzes to obtain ankle pump training risk warning indexes. Risks are graded according to the risk warning index assessment, and different warning interactive information is displayed for different levels of risks. Through real-time physiological index feedback and training effect evaluation, patients are helped to understand their training status in a timely manner and enhance their motivation and confidence in training. 3. The present invention realizes comprehensive monitoring and real-time analysis of the ankle pump training process through intelligent technical means, improves the safety, scientificity and personalization of training, enhances the training compliance and rehabilitation effect of patients, and optimizes the utilization of medical resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0019] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0020] Figure 2 It is a schematic diagram of the overall structure of the system of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Example 1 See also Figure 1As shown, the present invention provides a risk warning interaction method for intelligent ankle pump training detection and analysis, comprising the following steps: step S1: establishing an ankle pump trainer database, step S2: collecting trainers' ankle pump training data, step S3: analyzing physiological indicator data, step S4: performing physiological indicator abnormality assessment, step S5: analyzing ankle joint activity data, step S6: performing ankle joint injury risk assessment, step S7: establishing a risk warning index model and performing risk assessment, and step S8: performing risk warning interaction.

[0023] Step S1: Establishing an ankle pump trainer database: establishing a database of trainer's personal information, training indicators and ankle pump training data information, for storing and updating trainer's ankle pump training data; In this embodiment, it should be specifically explained that the personal information includes the trainee's age, gender, weight, medical history and personal thresholds of physiological indicators, and the training indicators specifically include the set training duration, number of training sessions and exercise speed during training.

[0024] Step S2: Collecting the trainee's ankle pump training data: collecting the trainee's ankle pump training data, wherein the ankle pump training data includes physiological index data and ankle joint activity data; In the present embodiment, it should be specifically explained that the physiological indicator data include the actual measured values ​​of various physiological indicators, the normal average values ​​of various physiological indicators, the normal standard deviations of various physiological indicators and the ambient temperature; the ankle joint activity data include the lever arm, the force generated by muscle contraction, the angle between the lever arm and the muscle force, the number of ankle pump training times of the trainee, the duration of the ankle pump training of the trainee and the movement speed of the ankle pump training of the trainee, and the lever arm refers to the vertical distance from the center of the ankle joint to the line of action of the force applied to the foot.

[0025] Step S3: Analyze the physiological index data: establish a physiological index abnormality evaluation coefficient model according to the physiological index data collected in step S2, and calculate the physiological index abnormality evaluation coefficient; In this embodiment, it should be specifically explained that the calculation steps of the abnormal physiological index evaluation coefficient are as follows: Step S31: Calculate the weighted abnormal score of physiological indicators WAS , the calculation model is as follows: ,in, N Expressed as the number of physiological indicators, W i It is represented by the weight of the ith physiological index, i is represented by the number of the physiological index, X i Represented as the actual measured value of the ith physiological index, μ iExpressed as the normal average value of the ith physiological index, Expressed as the normal standard deviation of the ith physiological index, p It is expressed as a power exponent, which is used to adjust the influence of outliers, where p ≥ 1; In this embodiment, it should be specifically explained that the physiological index weighted abnormal score WAS value can be used as an indicator for evaluating the degree of abnormality of the individual's physiological index; a higher WAS value indicates that the physiological index deviates far from the normal range.

[0026] Step S32: Calculate the physiological index abnormality assessment coefficient AEC , the calculation model is as follows: ,in, AEC It is represented as the abnormal evaluation coefficient of physiological indicators, λ is represented as other influencing factors of physiological indicators, T Expressed as ambient temperature, T id It is the ideal temperature for human body adaptation. WAS It is expressed as the weighted abnormal score of physiological indicators, and e is represented as a natural constant.

[0027] Step S4: Performing physiological index abnormality assessment: comparing the physiological index abnormality assessment coefficient in step S3 with a preset threshold value to determine the abnormality of the physiological index, and performing early warning interaction for the abnormality; In this embodiment, it should be specifically explained that the specific content of the abnormal physiological index assessment in step S4 is: The abnormality assessment coefficient of the physiological indicators is compared with the preset abnormality threshold. If the abnormality assessment coefficient of the physiological indicators is less than or equal to the preset abnormality threshold, the judgment result is that the physiological indicators of the ankle pump trainer are normal. If the abnormality assessment coefficient of the physiological indicators is greater than the preset abnormality threshold, the judgment result is that the physiological indicators of the ankle pump trainer are abnormal. The data judged as abnormal physiological indicators of the ankle pump trainer will be warned and displayed visually on the trainer's mobile device, and training suggestions for abnormal data values ​​of physiological indicators will be provided to the trainer.

[0028] Step S5: analyzing the ankle joint activity data: establishing an ankle joint injury risk coefficient model according to the ankle joint activity data collected in step S2, and calculating the ankle joint injury risk coefficient; In this embodiment, it should be specifically explained that the steps for calculating the ankle injury risk coefficient are as follows: Step S51: Calculate ankle joint torque AJT , the calculation model is as follows: ,in, RaIt is expressed as the moment arm, which is the vertical distance from the center of the ankle joint to the line of action of the force applied to the foot, and Fm is the force generated by muscle contraction. It is expressed as the angle between the moment arm and the muscle force; In this embodiment, it should be specifically noted that in ankle pump training, when the muscles contract at the optimal angle, cos ( θ ) is the largest, at this time the component of the muscle force in the direction of the lever arm is the largest, so the torque generated is also the largest; when θ When it is 0, cos ( θ ) is equal to 1, indicating that the muscle force acts completely along the direction of the lever arm and the torque reaches the maximum.

[0029] When the ankle joint is subjected to excessive torque, it may cause increased pressure inside the joint, thereby increasing the risk of damage to the articular cartilage and ligaments; especially when performing high-impact exercises or suddenly changing the direction of movement, if the ankle joint cannot effectively absorb and disperse these forces, it is more likely to be injured.

[0030] Step S52: Calculate ankle injury risk coefficient DRC , the calculation model is as follows: ,in, DRC Expressed as the ankle injury risk factor, AJT Expressed as ankle joint torque, AJT max is represented by the maximum ankle joint torque, e is represented by the natural constant, Tf It is expressed as the number of ankle pump trainings performed by the trainee. Tf 预 Indicated as the preset maximum number of ankle pump training times, Td Indicates the duration of the trainee's ankle pump training. Td 预 Indicates the preset maximum ankle pump training time. Ms Indicates the speed of the trainee's ankle pump training. Ms 预 Indicated as the preset maximum ankle pump training exercise speed, are respectively represented by the number of ankle pump training, the duration of ankle pump training, and the weight of the ankle pump training speed, and .

[0031] Step S6: Conducting ankle injury risk assessment: comparing the ankle injury risk coefficient in step S5 with a preset threshold to determine the ankle injury risk situation, and conducting early warning interaction on the risk situation; In this embodiment, it should be specifically explained that the specific content of the ankle injury risk assessment in step S6 is: The ankle injury risk coefficient is compared with the preset risk threshold. If the ankle injury risk coefficient is less than or equal to the preset risk threshold, the judgment result is that the ankle pump trainee has no ankle injury risk. If the ankle injury risk coefficient is greater than the preset risk threshold, the judgment result is that the ankle pump trainee has ankle injury risk. The data that is judged to be at risk of ankle injury for the ankle pump trainee will be warned and displayed visually on the trainee's mobile device, and training suggestions for the ankle injury risk data values ​​will be provided to the trainee.

[0032] Step S7: Establishing a risk warning index model and conducting risk assessment: establishing a risk warning index model to calculate the ankle pump training risk warning index based on the physiological index abnormality assessment coefficient and the ankle injury risk coefficient, and conducting risk level assessment on the ankle pump training risk warning index; In this embodiment, it should be specifically explained that the mathematical model of the ankle pump training risk warning index is specifically: ,in, RWI It is expressed as the ankle pump training risk warning index. AEC Expressed as the physiological index abnormality assessment coefficient, DRC It is expressed as the ankle injury risk coefficient, and β is expressed as other influencing factors of the ankle pump training risk warning index.

[0033] In this embodiment, it should be specifically explained that the specific content of the risk level assessment of the ankle pump training risk warning index in step S7 is: Compare the ankle pump training risk warning index with the preset warning range. If the ankle pump training risk warning index is within the first warning range, the ankle pump training risk level is judged to be slight, and a warning interaction message of a slight risk level is issued; if the ankle pump training risk warning index is within the second warning range, the ankle pump training risk level is judged to be medium, and a warning interaction message of a medium risk level is issued; if the ankle pump training risk warning index is within the third warning range, the ankle pump training risk level is judged to be severe, and a warning interaction message of a severe risk level is issued; The warning interactive information of the minor risk level is specifically: the system reminds the user to pay attention to the state of the ankle joint and the state parameters of the physiological indicators through a soft prompt sound or slight vibration, and recommends to appropriately reduce the training time and frequency, or reduce the range of motion to reduce the muscle burden; The medium risk level warning interaction information is specifically: the system reminds the user to adjust the training immediately through obvious warning sound or vibration; recommends the user to reduce the training intensity, extend the rest time, and suspend the training if necessary; The warning interaction information of the serious risk level is specifically: the system issues an emergency warning and prompts the user to stop training immediately through high-frequency vibration or sound, and recommends that the user immediately contact medical emergency services or go to a medical institution for examination.

[0034] Step S8: Conduct risk warning interaction: establish a risk warning interaction interface to display training reports, training progress, risk warning information and training suggestions, so that trainees can understand their own training status.

[0035] In this embodiment, it should be specifically explained that the specific content of the risk warning interaction in step S8 is: the establishment of the risk warning interaction interface includes a two-way communication channel, allowing trainers to submit feedback in order to continuously optimize the service. When risks are detected, the system prompts the trainer to make adjustments through voice prompts; for serious risks, the system can limit the range of motion of the ankle joint to prevent injuries by adjusting the training equipment.

[0036] Example 2 See also Figure 2 As shown, the present invention provides a risk warning interaction system for intelligent ankle pump training detection and analysis, including a module for establishing an ankle pump trainer database, an ankle pump training data acquisition module, a physiological indicator data analysis module, a physiological indicator abnormality assessment module, an ankle joint activity data analysis module, an ankle joint injury risk assessment module, a risk warning assessment module and a risk warning interaction module.

[0037] The module for establishing an ankle pump trainer database is connected to the ankle pump training data acquisition module, the ankle pump training data acquisition module is connected to the physiological indicator data analysis module and the ankle joint activity data analysis module, the physiological indicator data analysis module is connected to the physiological indicator abnormality assessment module, the physiological indicator abnormality assessment module is connected to the risk warning assessment module, the ankle joint activity data analysis module is connected to the ankle joint injury risk assessment module, the ankle joint injury risk assessment module is connected to the risk assessment module, and the risk warning assessment module is connected to the risk warning interaction module.

[0038] The module for establishing an ankle pump trainer database is used to establish a database of trainer's personal information, training indicators and ankle pump training data information, and store and update trainer's ankle pump training data; The ankle pump training data collection module is used to collect the trainee's ankle pump training data, wherein the ankle pump training data includes physiological index data and ankle joint activity data; The physiological index data analysis module establishes a physiological index abnormality evaluation coefficient model according to the physiological index data collected by the ankle pump training data collection module, and calculates the physiological index abnormality evaluation coefficient; The physiological index abnormality assessment module is used to compare the physiological index abnormality assessment coefficient in the physiological index data analysis module with a preset threshold value to determine the abnormality of the physiological index, and to perform early warning interaction for the abnormality; The ankle joint activity data analysis module establishes an ankle joint injury risk coefficient model based on the ankle joint activity data collected by the ankle pump training data collection module, and calculates the ankle joint injury risk coefficient; The ankle injury risk assessment module is used to compare the ankle injury risk coefficient in the ankle activity data analysis module with a preset threshold value to determine the ankle injury risk situation, and to perform early warning interaction on the risk situation; The risk warning assessment module establishes a risk warning index model according to the abnormal physiological index assessment coefficient and the ankle injury risk coefficient to calculate the ankle pump training risk warning index, and performs risk level assessment on the ankle pump training risk warning index; The risk warning interaction module is used to establish a risk warning interaction interface for displaying training reports, training progress, risk warning information and training suggestions, so as to facilitate trainees to understand their own training status.

[0039] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0040] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A risk warning interactive method for intelligent ankle pump training detection and analysis, characterized in that: The following steps are involved: Step S1: Establishing an ankle pump trainer database: establishing a database of trainer's personal information, training indicators and ankle pump training data information, for storing and updating trainer's ankle pump training data; Step S2: Collecting the trainee's ankle pump training data: collecting the trainee's ankle pump training data, wherein the ankle pump training data includes physiological index data and ankle joint activity data; Step S3: Analyze the physiological index data: establish a physiological index abnormality evaluation coefficient model according to the physiological index data collected in step S2, and calculate the physiological index abnormality evaluation coefficient; Step S4: Performing physiological index abnormality assessment: comparing the physiological index abnormality assessment coefficient in step S3 with a preset threshold value to determine the abnormality of the physiological index, and performing early warning interaction for the abnormality; Step S5: analyzing the ankle joint activity data: establishing an ankle joint injury risk coefficient model according to the ankle joint activity data collected in step S2, and calculating the ankle joint injury risk coefficient; Step S6: Conducting ankle injury risk assessment: comparing the ankle injury risk coefficient in step S5 with a preset threshold to determine the ankle injury risk situation, and conducting early warning interaction on the risk situation; Step S7: Establishing a risk warning index model and conducting risk assessment: establishing a risk warning index model to calculate the ankle pump training risk warning index based on the physiological index abnormality assessment coefficient and the ankle injury risk coefficient, and conducting risk level assessment on the ankle pump training risk warning index; Step S8: Conduct risk warning interaction: establish a risk warning interaction interface to display training reports, training progress, risk warning information and training suggestions, so that trainees can understand their own training status.

2. The risk warning interactive method for intelligent ankle pump training detection and analysis according to claim 1 is characterized by: The personal information includes the trainee's age, gender, weight, medical history and personal thresholds of physiological indicators, and the training indicators specifically include the set training duration, number of training sessions and exercise speed during training.

3. The risk warning interactive method for intelligent ankle pump training detection and analysis according to claim 1 is characterized by: The physiological indicator data include the actual measured values ​​of various physiological indicators, the normal average values ​​of various physiological indicators, the normal standard deviations of various physiological indicators and the ambient temperature; the ankle joint activity data include the lever arm, the force generated by muscle contraction, the angle between the lever arm and the muscle force, the number of ankle pump training times of the trainee, the duration of the ankle pump training of the trainee and the movement speed of the ankle pump training of the trainee, and the lever arm refers to the vertical distance from the center of the ankle joint to the line of action of the force applied to the foot.

4. The risk warning interactive method for intelligent ankle pump training detection and analysis according to claim 1 is characterized by: The calculation steps of the physiological index abnormality assessment coefficient are as follows: Step S31: Calculate the weighted abnormal score of physiological indicators WAS , the calculation model is as follows: ,in, N Expressed as the number of physiological indicators, W i It is represented by the weight of the ith physiological index, i is represented by the number of the physiological index, X i Represented as the actual measured value of the ith physiological index, μ i Expressed as the normal average value of the ith physiological index, Expressed as the normal standard deviation of the ith physiological index, p It is expressed as a power index, which is used to adjust the influence of outliers, where p ≥ 1; Step S32: Calculate the physiological index abnormality assessment coefficient AEC , the calculation model is as follows: ,in, AEC It is represented as the abnormal evaluation coefficient of physiological indicators, λ is represented as other influencing factors of physiological indicators, T Expressed as ambient temperature, T id It is the ideal temperature for human body adaptation. WAS It is expressed as the weighted abnormal score of physiological indicators, and e is represented as a natural constant.

5. The risk warning interactive method for intelligent ankle pump training detection and analysis according to claim 1 is characterized by: The specific contents of the abnormal physiological index assessment in step S4 are as follows: The abnormality assessment coefficient of the physiological indicators is compared with the preset abnormality threshold. If the abnormality assessment coefficient of the physiological indicators is less than or equal to the preset abnormality threshold, the judgment result is that the physiological indicators of the ankle pump trainer are normal. If the abnormality assessment coefficient of the physiological indicators is greater than the preset abnormality threshold, the judgment result is that the physiological indicators of the ankle pump trainer are abnormal. The data judged as abnormal physiological indicators of the ankle pump trainer will be warned and displayed visually on the trainer's mobile device, and training suggestions for abnormal data values ​​of physiological indicators will be provided to the trainer.

6. The risk warning interactive method for intelligent ankle pump training detection and analysis according to claim 1 is characterized by: The calculation steps of the ankle injury risk coefficient are as follows: Step S51: Calculate ankle joint torque AJT , the calculation model is as follows: ,in, Ra It is expressed as the moment arm, which is the vertical distance from the center of the ankle joint to the line of action of the force applied to the foot, and Fm is the force generated by muscle contraction. It is expressed as the angle between the moment arm and the muscle force; Step S52: Calculate ankle injury risk coefficient DRC , the calculation model is as follows: ,in, DRC Expressed as the ankle injury risk factor, AJT Expressed as ankle joint torque, AJT max is represented by the maximum ankle joint torque, e is represented by the natural constant, Tf It is expressed as the number of ankle pump trainings performed by the trainee. Tf 预 Indicated as the preset maximum number of ankle pump training times, Td Indicates the duration of the trainee's ankle pump training. Td 预 Indicates the preset maximum ankle pump training time. Ms Indicates the speed of the trainee's ankle pump training. Ms 预 Indicated as the preset maximum ankle pump training exercise speed, are respectively represented by the number of ankle pump training, the duration of ankle pump training, and the weight of the ankle pump training speed, and .

7. The risk warning interactive method for intelligent ankle pump training detection and analysis according to claim 1 is characterized by: The specific contents of the ankle injury risk assessment in step S6 are: The ankle injury risk coefficient is compared with the preset risk threshold. If the ankle injury risk coefficient is less than or equal to the preset risk threshold, the judgment result is that the ankle pump trainee has no ankle injury risk. If the ankle injury risk coefficient is greater than the preset risk threshold, the judgment result is that the ankle pump trainee has ankle injury risk. The data that is judged to be at risk of ankle injury for the ankle pump trainee will be warned and displayed visually on the trainee's mobile device, and training suggestions for the ankle injury risk data values ​​will be provided to the trainee.

8. The risk warning interactive method for intelligent ankle pump training detection and analysis according to claim 1 is characterized by: The mathematical model of the ankle pump training risk warning index is specifically: ,in, RWI It is expressed as the ankle pump training risk warning index. AEC Expressed as the physiological index abnormality assessment coefficient, DRC It is expressed as the ankle injury risk coefficient, and β is expressed as other influencing factors of the ankle pump training risk warning index.

9. The risk warning interactive method for intelligent ankle pump training detection and analysis according to claim 1, characterized in that: The specific content of the risk level assessment of the ankle pump training risk warning index in step S7 is: The ankle pump training risk warning index is compared with the preset warning range. If the ankle pump training risk warning index is within the first warning range, the ankle pump training risk level is judged to be mild, and a warning interaction message of mild risk level is issued; if the ankle pump training risk warning index is within the second warning range, the ankle pump training risk level is judged to be medium, and a warning interaction message of medium risk level is issued; if the ankle pump training risk warning index is within the third warning range, the ankle pump training risk level is judged to be severe, and a warning interaction message of severe risk level is issued.

10. A risk warning interactive system for intelligent ankle pump training detection and analysis, used to implement the risk warning interactive method for intelligent ankle pump training detection and analysis as described in any one of claims 1 to 9, characterized in that: include: Establish an ankle pump trainer database module, an ankle pump training data collection module, a physiological index data analysis module, a physiological index abnormality assessment module, an ankle joint activity data analysis module, an ankle joint injury risk assessment module, a risk warning assessment module, and a risk warning interaction module; The module for establishing an ankle pump trainer database is used to establish a database of trainer's personal information, training indicators and ankle pump training data information, and store and update trainer's ankle pump training data; The ankle pump training data collection module is used to collect the trainee's ankle pump training data, wherein the ankle pump training data includes physiological index data and ankle joint activity data; The physiological index data analysis module establishes a physiological index abnormality evaluation coefficient model according to the physiological index data collected by the ankle pump training data collection module, and calculates the physiological index abnormality evaluation coefficient; The physiological index abnormality assessment module is used to compare the physiological index abnormality assessment coefficient in the physiological index data analysis module with a preset threshold value to determine the abnormality of the physiological index, and to perform early warning interaction for the abnormality; The ankle joint activity data analysis module establishes an ankle joint injury risk coefficient model based on the ankle joint activity data collected by the ankle pump training data collection module, and calculates the ankle joint injury risk coefficient; The ankle injury risk assessment module is used to compare the ankle injury risk coefficient in the ankle activity data analysis module with a preset threshold value to determine the ankle injury risk situation, and to perform early warning interaction on the risk situation; The risk warning assessment module establishes a risk warning index model according to the abnormal physiological index assessment coefficient and the ankle injury risk coefficient to calculate the ankle pump training risk warning index, and performs risk level assessment on the ankle pump training risk warning index; The risk warning interaction module is used to establish a risk warning interaction interface for displaying training reports, training progress, risk warning information and training suggestions, so as to facilitate trainees to understand their own training status.

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