Kararthritis decompression correction monitoring system

Abstract

The invention relates to the technical field of knee joint decompression, in particular to a knee arthritis decompression correction monitoring system which comprises a data acquisition module, a data transmission module, a data processing module, a data analysis module, an early warning module and an interaction module. The data transmission module is used for receiving and storing the activity data acquired by the data acquisition module; the data processing module is used for preprocessing the activity data and extracting characteristic parameters of the activity data; the data analysis module is used for analyzing the change trend of the activity data by using a machine learning algorithm; the early warning module is used for setting a health standard threshold value and sending out early warning information when the activity data exceed the threshold value; the interaction module is used for providing an interaction interface. According to the analysis result of the data analysis module, the system can provide specific improvement suggestions for users, help the users to gradually improve gaits and walking postures, reduce joint loads and delay disease progression.

Description

Technical Field

[0001] The invention relates to the technical field of knee joint decompression, and in particular to a knee arthritis decompression correction monitoring system. Background Art

[0002] Knee arthritis (OA) is a common degenerative joint disease that mainly affects the elderly. It is characterized by the gradual wear of joint cartilage, leading to pain, stiffness and limited mobility. With the aging of the population, the incidence of knee OA has increased year by year, seriously affecting the daily quality of life and exercise ability of patients.

[0003] Traditional treatments include medication, physical therapy, and surgical intervention, but these methods can only relieve symptoms, and lack effective technical support for long-term monitoring of the condition and the formulation of personalized treatment plans. For example, some of the user's daily activities may affect the knee joint, which may lead to worsening of the condition over time.

[0004] In summary, how to solve the problem of the lack of personalized treatment in the conventional symptom relief treatment method in the prior art has become a difficult problem that needs to be solved urgently in this field. Therefore, it is necessary to propose a knee arthritis decompression correction monitoring system. Summary of the invention

[0005] To solve the above problems, the present invention provides a knee arthritis decompression and correction monitoring system, which monitors the torque and pressure changes during knee flexion and extension movements in daily life through a data acquisition module. Based on the analysis results of the data analysis module, the system can provide users with specific improvement suggestions to help them gradually improve their gait and walking posture, reduce joint load, and delay disease progression.

[0006] In order to achieve the above-mentioned purpose, the technical scheme of the present invention is as follows: a knee arthritis decompression correction monitoring system includes a data acquisition module, a data transmission module, a data processing module, a data analysis module, an early warning module and an interactive module.

[0007] The data acquisition module is used to collect activity data around the knee joint; and transmit the collected activity data to the data transmission module.

[0008] The data transmission module is used to receive and store the activity data collected by the data collection module; and to transmit the collected activity data using wireless communication technology.

[0009] The data processing module is used to receive the activity data transmitted by the data transmission module; and pre-process the activity data, extract the characteristic parameters of the activity data, and transmit the characteristic parameters to the data analysis module.

[0010] The data analysis module is used to receive the characteristic parameters transmitted by the data processing module, use the machine learning algorithm to analyze the changing trend of the activity data, and analyze whether the user's walking posture and gait pattern meet the health standards based on the activity data.

[0011] The early warning module is used to set health standard thresholds based on the user's walking posture and gait pattern; and issue an early warning message when the activity data exceeds the threshold.

[0012] The interactive module is used to provide an interactive interface to display the collected activity data and warning information.

[0013] Further, the activity data include the torque during knee flexion and extension movements, pressure changes during the gait cycle, pressure distribution, angle changes, and torque changes.

[0014] Furthermore, the data acquisition module includes the following units:

[0015] The acceleration and angular velocity sensing unit is used to measure the acceleration and angular velocity of the knee joint and analyze the dynamic characteristics of the gait cycle and flexion and extension movements.

[0016] Force sensing unit, used to measure the torque changes during flexion and extension.

[0017] Angle sensor unit is used to measure the angle change of the knee joint under different motion states.

[0018] Furthermore, the wireless communication technology is selected from one or more of BLE, Wi-Fi, 4G, 5G, Zigbee and LoRa.

[0019] Further, the working steps of the data processing module are as follows:

[0020] S101. Use a filtering algorithm to eliminate high-frequency and low-frequency noise in activity data; and dynamically adjust filtering parameters.

[0021] S102: Use a calibration method to correct errors in collecting activity data, and set a data collection range according to the anatomical structure and activity habits of different users.

[0022] S103, adding a timestamp to each piece of activity data, and setting the activity data of the acceleration and angular velocity sensing unit, the force sensing unit, and the angle sensing unit to be consistent in terms of the timestamp.

[0023] S104: extract representative feature parameters from the activity data using a feature extraction method.

[0024] S105, integrating information from the acceleration and angular velocity sensing unit, the force sensing unit, and the angle sensing unit; and assigning different weights according to the relevance of different units.

[0025] S106: Identify and mark data anomalies caused by device failures and irregular user actions.

[0026] Further, the working steps of the data analysis module are as follows:

[0027] S201, converting the format of the extracted feature parameters; and creating a continuous time series data set.

[0028] S202. Identify data patterns and trends over time, perform segmented analysis on time series data sets, and capture short-term fluctuations and long-term trends.

[0029] S203. Analyze and identify different gait cycles and abnormal patterns using a machine learning model; predefine a standard gait template and calculate a similarity score between the actual gait and the standard template.

[0030] S204: Determine whether the user's walking posture is correct based on the similarity score, whether there is a risk of causing further injury, and output the analysis result.

[0031] S205. Evaluate the current state of gait and walking posture; and provide customized improvement suggestions based on the analysis results.

[0032] Further, in S204, the analysis results are as follows:

[0033] Based on the data provided by the angle sensor unit, the angle changes of the knee joint in different motion states are evaluated to determine whether there is excessive inversion and valgus.

[0034] Combined with the information from the force sensing unit, the changes in torque during flexion and extension are analyzed to confirm the load distribution.

[0035] Based on the pressure distribution at each stage of the gait cycle, confirm whether the pressure distribution is uniform.

[0036] The above scheme has the following beneficial effects:

[0037] 1. By integrating the acceleration and angular velocity sensing unit, the force sensing unit and the angle sensing unit, the system of the present invention can comprehensively capture multi-dimensional data such as the torque during knee flexion and extension, the pressure change in the gait cycle, the pressure distribution, and the angle change. These data provide a basis for subsequent analysis and early warning, help to more accurately understand the user's knee joint health status, and can be collected in daily life to reduce interference to the user.

[0038] The collected data is analyzed using filtering algorithms, calibration methods, and machine learning models to effectively eliminate noise and errors in the data, ensure the accuracy and reliability of the data, and integrate information from multiple sensor units to achieve data synchronization and fusion, providing a more comprehensive perspective for subsequent analysis to improve the efficiency of data analysis; thereby providing doctors with a more accurate basis for diagnosis.

[0039] 2. The present invention optimizes the data collection range setting according to the anatomical structure and activity habits of different users, and dynamically adjusts the filtering parameters, so that the system can provide personalized health management and rehabilitation guidance based on the characteristics of each user, further improving the applicability of the system. Based on the evaluation results of the data analysis module, the system can provide users with specific improvement suggestions to help them gradually improve their gait and walking posture, provide different suggestions for different users, provide more personalized services, reduce joint loads, and delay disease progression.

[0040] 3. The intuitive interface provided by the interactive module of the present invention not only displays the collected activity data, but also provides immediate correction guidance when unhealthy gait or walking posture is detected, thus enhancing the user experience. The early warning module monitors the changes in activity data according to the set health standard threshold, and immediately issues an early warning message once the threshold is exceeded, reminding the user of potential risks and preventing further damage, thereby correcting the wrong posture in time and assisting the user to adopt a more correct gait.

[0041] 4. The present invention ensures a stable connection whether at home or away through wireless communication, facilitating data transmission and remote monitoring. Continuous data recording provides doctors with rich information resources, which helps to make more accurate treatment decisions and improve the overall quality of medical services. Considering the need for long-term wearing, the data acquisition module adopts lightweight and comfortable materials and technologies to ensure that the user's daily activities are not affected and improve their comfort.

[0042] Furthermore, it also includes a decompression correction device, which includes a knee pad worn on the knee joint, and a data acquisition module array is distributed on the inner wall of the knee pad; the outer wall of the knee pad is fixedly connected to a first adjustment plate and a second adjustment plate, and the first adjustment plate and the second adjustment plate are both detachably connected with Velcro.

[0043] The knee pad is provided with a correction component for adjusting the angles of the first adjustment plate and the second adjustment plate and a massage component for performing decompression massage.

[0044] Beneficial effects: By wearing the kneepad on the user's knee joint and distributing the data acquisition module array on the inner wall of the kneepad, the user's activity data can be collected and monitored in daily life. The correction component set on the kneepad can adjust the angle of the first adjustment plate and the second adjustment plate to help correct bad gait and walking posture, provide additional support, and reduce the pressure on the knee joint. The massage component promotes blood circulation around the knee joint through gentle physical stimulation, relieves muscle tension, helps to relieve pain and stiffness, and thus reduces the pressure inside the knee joint.

[0045] Furthermore, the correction component includes a shell, a controller, a cross rod, a first rack and a telescopic member, the controller is used to control the telescopic member to extend and retract; the cross rod is located inside the shell, the telescopic member is fixedly connected to the outer wall of the first adjustment plate, and the output shaft of the telescopic member is fixedly connected to the first rack; the outer wall of the horizontal end of the cross rod is coaxially fixedly connected with a first gear, and the first rack and the first gear are meshed with each other.

[0046] An opening is provided at the bottom of the first adjusting plate, and the first adjusting plate is rotatably matched with the horizontal end of the cross rod; a movable plate is rotatably matched with the vertical end of the cross rod, and the movable plate is fixedly connected with the second adjusting plate.

[0047] Beneficial effect: Since the telescopic member is fixedly connected to the first adjustment plate, the output shaft of the telescopic member is fixedly connected to the first rack, the first rack is meshed with the first gear, and the first adjustment plate is rotated in coordination with the horizontal end of the cross bar; therefore, the telescopic member can drive the first rack to be telescopic, and when the first rack is telescopic, the telescopic member can be rotated around the first gear, and the telescopic member drives the first adjustment plate to rotate. Since the vertical end of the cross bar is rotated with a movable plate, and the movable plate is fixedly connected to the second adjustment plate, when the first adjustment plate rotates, the first adjustment plate and the second adjustment plate can generate a pulling force toward the outside of the knee pad or a squeezing force toward the inside of the knee pad. By setting the connection between the first adjustment plate and the second adjustment plate flush with the knee joint, the pulling force or squeezing force can produce a correction effect on the knee joint.

[0048] Furthermore, the massage component includes a second gear, a piston cylinder and a rubber piston. The second gear is coaxially fixedly connected to the outer wall of the vertical end of the cross rod; the second gear is meshed with a second rack, and the bottom end of the second rack passes through the piston cylinder and is fixedly connected to the rubber piston; the rubber piston is slidably matched with the inner wall of the piston cylinder, and the piston cylinder is fixedly connected to the movable plate.

[0049] An input tube and an output tube are connected at the bottom of the piston cylinder, and one end of the input tube away from the piston cylinder is connected to the outside of the shell; one end of the output tube away from the piston cylinder is connected to an air bag, and the air bag is detachably connected to the inner wall of the knee pad; the connection between the piston cylinder and the input tube and the output tube is connected with a one-way valve.

[0050] Beneficial effects: Since the second gear is meshed with the second rack, the second gear is fixedly connected to the vertical end of the cross rod, the second rack is fixedly connected to the rubber piston, and the rubber piston is slidably matched with the inner wall of the piston cylinder; therefore, when the user wears the knee pad and walks, the knee joint will be bent, so that the first adjustment plate and the second adjustment plate will generate a bending moment; so that the second rack meshed with the second gear can achieve reciprocating motion, and the reciprocating motion of the second rack drives the rubber piston to generate negative pressure suction and thrust to release the negative pressure. Since the piston cylinder is connected with an input pipe and an output pipe, and the output pipe is connected with an airbag; therefore, during the reciprocating motion of the rubber piston, the gas can be transmitted to the inside of the airbag to achieve inflation of the airbag. By installing the airbag to the position to be massaged, the airbag can achieve a squeezing effect on the inside of the knee pad when it is inflated, thereby achieving massage around the knee joint, using the force of the user's daily walking to assist, thereby reducing the use of power components.

[0051] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 4 is a structural block diagram of a knee arthritis decompression correction monitoring system in an embodiment of the present invention.

[0053] Figure 2 It is a front view of the decompression correction device in the knee arthritis decompression correction monitoring system in an embodiment of the present invention.

[0054] Figure 3 It is an isometric view of the installation of the correction component in the knee arthritis decompression correction monitoring system in an embodiment of the present invention.

[0055] Figure 4 It is an installation isometric diagram of the massage component in the knee arthritis decompression correction monitoring system in an embodiment of the present invention.

[0056] The figure marks in the drawings of the specification include: 1. knee pad; 2. first adjustment plate; 3. second adjustment plate; 4. Velcro; 5. housing; 6. cross rod; 7. first rack; 8. first gear; 9. electric push rod; 10. movable plate; 11. second rack; 12. second gear; 13. piston cylinder. DETAILED DESCRIPTION

[0057] The following is further described in detail through specific implementation methods:

[0058] Embodiment 1:

[0059] As attached Figure 1 Shown: A knee arthritis decompression and correction monitoring system includes a data acquisition module, a data transmission module, a data processing module, a data analysis module, an early warning module and an interactive module.

[0060] Among them, the data acquisition module is used to collect activity data around the knee joint; the data transmission module is used to receive and store the activity data collected by the data acquisition module; the data processing module is used to pre-process the activity data and extract the characteristic parameters of the activity data; the data analysis module is used to use machine learning algorithms to analyze the changing trends of activity data; the early warning module is used to set health standard thresholds and issue early warning information when the activity data exceeds the threshold; the interactive module is used to provide an interactive interface.

[0061] The following is a detailed explanation of the module functions:

[0062] The data acquisition module is used to collect activity data around the knee joint and transmit the collected activity data to the data transmission module. The activity data includes the torque during knee flexion and extension, pressure changes during the gait cycle, pressure distribution, angle changes, and torque changes.

[0063] The data acquisition module includes the following units:

[0064] The acceleration and angular velocity sensing unit is used to measure the acceleration and angular velocity of the knee joint and analyze the dynamic characteristics of the gait cycle and flexion and extension movements.

[0065] The force sensing unit is used to measure the torque changes during flexion and extension.

[0066] The angle sensor unit is used to measure the angle changes of the knee joint under different motion states.

[0067] The data transmission module is used to receive and store the activity data collected by the data acquisition module; and use wireless communication technology to transmit the collected activity data, wherein the wireless communication technology is selected from one or more of BLE, Wi-Fi, 4G, 5G, Zigbee and LoRa, and 5G is selected in this embodiment.

[0068] The data processing module is used to receive the activity data transmitted by the data transmission module; and to pre-process the activity data, extract characteristic parameters of the activity data, and transmit the characteristic parameters to the data analysis module.

[0069] The working steps of the data processing module are as follows:

[0070] S101. Use a bandpass filtering algorithm to eliminate high-frequency and low-frequency noise in the activity data; and dynamically adjust the filtering parameters to adapt to the noise characteristics in different environments.

[0071] S102. Use a calibration method (such as static calibration or dynamic calibration) to correct errors in collected activity data, and use the automatic calibration mode to set the data collection range according to the anatomical structure and activity habits of different users; for example, according to the different torque changes that occur when the user walks, increase the number of collection times according to the pressure range that follows the torque change.

[0072] S103, adding a timestamp to each piece of activity data, and setting the activity data of the acceleration and angular velocity sensing unit, the force sensing unit, and the angle sensing unit to be consistent in terms of the timestamp.

[0073] S104. Use statistical features to calculate basic statistics such as mean, variance, peak and valley values ​​in activity data; use time domain features to extract motion-related features such as maximum torque, minimum angle and step length from activity data; convert time domain signals into frequency domain representation through Fourier transform, and analyze the main frequency components and their amplitudes.

[0074] S105. Integrate information from the acceleration and angular velocity sensing unit, the force sensing unit, and the angle sensing unit; assign different weights to different units according to their relevance; update the posterior probability distribution based on prior knowledge and observed data to obtain the optimal estimate, and continuously optimize the state estimate by combining the prediction model and actual measurements.

[0075] S106. Identify and mark data anomalies caused by equipment failures and irregular user actions by setting reasonable upper and lower limits. Anything beyond the range will be considered an anomaly. Monitor the data change trend over time to capture sudden or gradual anomalies.

[0076] The data analysis module is used to receive the characteristic parameters transmitted by the data processing module, use machine learning algorithms to analyze the changing trends of activity data, and analyze whether the user's walking posture and gait pattern meet health standards based on the activity data.

[0077] The working steps of the data analysis module are as follows:

[0078] S201, converting the format of the extracted feature parameters; and creating a continuous time series data set (such as activity data collected by different units in a gait cycle) to facilitate subsequent trend analysis.

[0079] S202. Identify data patterns and trends over time, apply sliding windows to segment time series data sets, capture short-term fluctuations and long-term trends; use linear or nonlinear regression models to fit data points and predict possible future development directions.

[0080] S203, using a deep neural network (DNN) model to analyze and identify different gait cycles and abnormal patterns; pre-define a standard gait template, and calculate a similarity score between the actual gait and the standard template.

[0081] S204: Determine whether the user's walking posture is correct based on the similarity score, whether there is a risk of further injury, and output the analysis results. The analysis results are as follows:

[0082] Based on the data provided by the angle sensor unit, the angle changes of the knee joint in different motion states are evaluated to determine whether there is excessive inversion and valgus.

[0083] Combined with the information from the force sensing unit, the change in torque during flexion and extension is analyzed to ensure load distribution and avoid excessive force on one side.

[0084] Based on the pressure distribution at each stage of the gait cycle, confirm whether the pressure distribution is uniform and reduce local high-pressure areas.

[0085] S205. Evaluate the current state of gait and walking posture; provide customized improvement suggestions based on the analysis results, such as specific exercise programs or lifestyle adjustments, to help users gradually improve their gait and walking posture.

[0086] The warning module is used to set health standard thresholds according to the user's walking posture and gait pattern; when the activity data exceeds the threshold, a warning message is issued. In this embodiment, the warning message is sent via email or other means.

[0087] The interactive module is used to provide an interactive interface to display the collected activity data and warning information; in this embodiment, the interactive module uses a mobile terminal for display.

[0088] Embodiment 2:

[0089] As attached Figure 2-Figure 4 As shown, the difference from the above embodiment is that the present invention also provides a decompression correction device, which includes a knee pad 1 for wearing on the knee joint, and a data acquisition module array is distributed on the inner wall of the knee pad 1; a first adjustment plate 2 and a second adjustment plate 3 are fixedly bonded to the outer wall of the knee pad 1, and Velcro 4 is removably bonded to the first adjustment plate 2 and the second adjustment plate 3.

[0090] The knee pad 1 is provided with a correction component for adjusting the angles of the first adjustment plate 2 and the second adjustment plate 3 and a massage component for performing a decompression massage.

[0091] The correction assembly includes a housing 5, a controller, a cross rod 6, a first rack 7 and a telescopic member. In this embodiment, the telescopic member is an electric push rod 9, and the controller is used to control the electric push rod 9 to extend and retract; the cross rod 6 is located inside the housing 5, the electric push rod 9 is screw-fixedly connected to the outer wall of the first adjustment plate 2, and the output shaft of the electric push rod 9 is screw-fixedly connected to the first rack 7; the outer wall of the horizontal end of the cross rod 6 is coaxially fixed with a first gear 8, and the first rack 7 and the first gear 8 are meshed with each other.

[0092] The first adjusting plate 2 has an opening at the bottom, and the first adjusting plate 2 is rotatably matched with the horizontal end of the cross rod 6; the vertical end of the cross rod 6 is rotatably matched with a movable plate 10, and the movable plate 10 is fixedly connected with the second adjusting plate 3 with screws.

[0093] The massage component includes a second gear 12, a piston cylinder 13 and a rubber piston. The second gear 12 is coaxially fixed to the outer wall of the vertical end of the cross rod 6; the second gear 12 is meshed with a second rack 11, and the bottom end of the second rack 11 passes through the piston cylinder 13 and is fixedly bonded to the rubber piston; the rubber piston is slidably matched with the inner wall of the piston cylinder 13, and the piston cylinder 13 is fixedly connected to the movable plate 10 by screws.

[0094] An input tube and an output tube are connected at the bottom of the piston cylinder 13, and one end of the input tube away from the piston cylinder 13 is connected to the outside of the outer shell 5; one end of the output tube away from the piston cylinder 13 is connected to an air bag, and the air bag is detachably connected to the inner wall of the knee pad 1; the connection between the piston cylinder 13 and the input tube and the output tube is connected with a one-way valve.

[0095] The specific implementation process is as follows:

[0096] First, before performing decompression correction monitoring, the kneepad 1 is worn on the user's knee joint, Velcro 4 is used to fix the user's leg, and a data acquisition module array is distributed on the inner wall of the kneepad 1 to collect and monitor the user's activity data in daily life.

[0097] Since the electric push rod 9 is fixedly connected with the first adjustment plate 2 by screws, the output shaft of the electric push rod 9 is fixedly connected with the first rack 7 by screws, the first rack 7 is meshed with the first gear 8, and the first adjustment plate 2 and the horizontal end of the cross rod 6 rotate in coordination; therefore, the first rack 7 can be driven to extend and retract by the electric push rod 9. When the first rack 7 retracts and retracts, the electric push rod 9 can rotate around the first gear 8, and the electric push rod 9 drives the first adjustment plate 2 to rotate.

[0098] by Figure 3 For example, taking the plane where the first adjustment plate 2 is located as a reference datum, the plane of the first adjustment plate 2 close to the electric push rod 9 is the left side, and the plane of the first adjustment plate 2 away from the electric push rod 9 is the right side. When the electric push rod 9 drives the first rack 7 to extend, the first rack 7 rotates clockwise around the first gear 8. When rotating clockwise, the electric push rod 9 is pushed to the right side. When the electric push rod 9 is deflected to the right side, it drives the first adjustment plate 2 to rotate to the right; otherwise, the first adjustment plate 2 can be rotated to the left.

[0099] Since the vertical end of the cross rod 6 is rotatably matched with the movable plate 10, and the movable plate 10 is fixedly connected to the second adjustment plate 3 with screws, when the first adjustment plate 2 rotates, the first adjustment plate 2 and the second adjustment plate 3 can generate a pulling force toward the outside of the knee pad 1 or a squeezing force toward the inside of the knee pad 1, and the pulling force or the squeezing force is set in the opposite direction to the knee joint, thereby decompressing the inside of the knee joint, and by setting the connection between the first adjustment plate 2 and the second adjustment plate 3 flush with the knee joint, the pulling force or the squeezing force can produce a corrective effect on the knee joint.

[0100] Since the second gear 12 is meshed with the second rack 11, the second gear 12 is fixedly clamped with the vertical end of the cross rod 6, the second rack 11 is fixedly bonded with the rubber piston, and the rubber piston is slidably matched with the inner wall of the piston cylinder 13; therefore, when the user wears the knee pad 1 and walks, the knee joint will be bent, so that the first adjustment plate 2 and the second adjustment plate 3 will generate a bending moment; so that the second rack 11 meshed with the second gear 12 can realize reciprocating motion, and when the second rack 11 reciprocates, it drives the rubber piston to generate negative pressure suction and thrust to release the negative pressure.

[0101] by Figure 4 For example, taking the plane where the movable plate 10 is located as a reference, the plane of the movable plate 10 close to the second rack 11 is the right side, and the plane of the movable plate 10 away from the second rack 11 is the left side. When the first adjustment plate 2 rotates to the left, the second gear 12 rotates counterclockwise. When it rotates counterclockwise, the second rack 11 is stretched upward, thereby driving the rubber piston to move upward through the second rack 11 to generate negative pressure suction; conversely, the rubber piston can be pushed downward.

[0102] Since the piston cylinder 13 is connected with an input pipe and an output pipe, and the output pipe is connected with an airbag, gas can be transmitted to the inside of the airbag during the reciprocating motion of the rubber piston to achieve inflation of the airbag. By installing the airbag at the massage position in the knee pad 1, the airbag can achieve a squeezing effect on the inside of the knee pad 1 when it is inflated, thereby achieving massage around the knee joint.

[0103] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A knee arthritis decompression correction monitoring system, characterized in that: It includes data acquisition module, data transmission module, data processing module, data analysis module, early warning module and interaction module; A data acquisition module, used for collecting activity data around the knee joint; and transmitting the collected activity data to the data transmission module; A data transmission module, used to receive and store the activity data collected by the data collection module; and to transmit the collected activity data using wireless communication technology; A data processing module is used to receive the activity data transmitted by the data transmission module; and pre-process the activity data, extract characteristic parameters of the activity data, and transmit the characteristic parameters to the data analysis module; A data analysis module is used to receive characteristic parameters transmitted by the data processing module, analyze the change trend of the activity data using a machine learning algorithm, and analyze whether the user's walking posture and gait pattern meet health standards based on the activity data; An early warning module is used to set health standard thresholds based on the user's walking posture and gait pattern; Issue warning messages when activity data exceeds thresholds; The interactive module is used to provide an interactive interface to display the collected activity data and warning information.

2. The knee arthritis decompression correction monitoring system according to claim 1, characterized in that: Activity data include torque during knee flexion and extension movements, pressure changes during the gait cycle, pressure distribution, angle changes, and torque changes.

3. The knee arthritis decompression correction monitoring system according to claim 2, characterized in that: The data acquisition module includes the following units: Acceleration and angular velocity sensing unit, used to measure the acceleration and angular velocity of the knee joint and analyze the dynamic characteristics of the gait cycle and flexion and extension movements; Force sensing unit, used to measure the torque changes during flexion and extension; Angle sensor unit is used to measure the angle change of the knee joint under different motion states.

4. The knee arthritis decompression correction monitoring system according to claim 3, characterized in that: The wireless communication technology may be one or more of BLE, Wi-Fi, 4G, 5G, Zigbee and LoRa.

5. The knee arthritis decompression correction monitoring system according to claim 4, characterized in that: The working steps of the data processing module are as follows: S101, using a filtering algorithm to eliminate high-frequency and low-frequency noise in the activity data; and dynamically adjusting filtering parameters; S102, using a calibration method to correct errors in collecting activity data, and setting a data collection range according to the anatomical structure and activity habits of different users; S103, adding a timestamp to each piece of activity data, and setting the activity data of the acceleration and angular velocity sensing unit, the force sensing unit, and the angle sensing unit to be consistent in terms of the timestamp; S104, extracting representative feature parameters from the activity data using a feature extraction method; S105, integrating information from the acceleration and angular velocity sensing unit, the force sensing unit, and the angle sensing unit; assigning different weights to different units according to their relevance; S106: Identify and mark data anomalies caused by device failures and irregular user actions.

6. The knee arthritis decompression correction monitoring system according to claim 5, characterized in that: The working steps of the data analysis module are as follows: S201, converting the format of the extracted feature parameters; and creating a continuous time series data set; S202, identify data patterns and trends over time, perform segmented analysis on time series data sets, and capture short-term fluctuations and long-term trends; S203, using a machine learning model to analyze and identify different gait cycles and abnormal patterns; Predefine a standard gait template and calculate the similarity score between the actual gait and the standard template; S204, judging whether the user's walking posture is correct and whether there is a risk of causing further injury based on the similarity score, and outputting the analysis result; S205. Evaluate the current state of gait and walking posture; and provide customized improvement suggestions based on the analysis results.

7. The knee arthritis decompression correction monitoring system according to claim 6, characterized in that: In S204, the analysis results are as follows: Based on the data provided by the angle sensor unit, the angle changes of the knee joint in different motion states are evaluated to determine whether there is excessive inversion and valgus; Combined with the information from the force sensing unit, the change in torque during flexion and extension is analyzed to confirm the load distribution; Based on the pressure distribution at each stage of the gait cycle, confirm whether the pressure distribution is uniform.

8. The knee arthritis decompression correction monitoring system according to claim 7, characterized in that: Also included are pressure relief orthotic devices; The decompression correction device comprises a knee pad (1) for being worn on a knee joint; a data acquisition module array is distributed on the inner wall of the knee pad (1); a first adjustment plate (2) and a second adjustment plate (3) are fixedly connected to the outer wall of the knee pad (1); and Velcro (4) is detachably connected to both the first adjustment plate (2) and the second adjustment plate (3); The knee pad (1) is provided with a correction component for adjusting the angles of the first adjustment plate (2) and the second adjustment plate (3) and a massage component for performing a decompression massage.

9. The knee arthritis decompression correction monitoring system according to claim 8, characterized in that: The correction component comprises a housing (5), a controller, a cross rod (6), a first rack (7) and a telescopic member, wherein the controller is used to control the telescopic member to extend and retract; the cross rod (6) is located inside the housing (5), the telescopic member is fixedly connected to the outer wall of the first adjustment plate (2), and the output shaft of the telescopic member is fixedly connected to the first rack (7); the outer wall of the horizontal end of the cross rod (6) is coaxially fixedly connected with a first gear (8), and the first rack (7) and the first gear (8) are meshed with each other; The first adjustment plate (2) has an opening at the bottom, and the first adjustment plate (2) is rotatably matched with the horizontal end of the cross rod (6); the vertical end of the cross rod (6) is rotatably matched with a movable plate (10), and the movable plate (10) is fixedly connected to the second adjustment plate (3).

10. The knee arthritis decompression correction monitoring system according to claim 9, characterized in that: The massage component comprises a second gear (12), a piston cylinder (13) and a rubber piston. The second gear (12) is coaxially fixedly connected to the outer wall of the vertical end of the cross rod (6); the second gear (12) is meshed with a second rack (11), and the bottom end of the second rack (11) passes through the piston cylinder (13) and is fixedly connected to the rubber piston; the rubber piston is slidably matched with the inner wall of the piston cylinder (13), and the piston cylinder (13) is fixedly connected to the movable plate (10); The bottom of the piston cylinder (13) is connected to an input pipe and an output pipe, and one end of the input pipe away from the piston cylinder (13) is connected to the outside of the shell (5); one end of the output pipe away from the piston cylinder (13) is connected to an air bag, and the air bag is detachably connected to the inner wall of the knee pad (1); the connection between the piston cylinder (13) and the input pipe and the output pipe is connected to a one-way valve.

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