Plantar pressure acquisition method and system for weight-bearing rehabilitation

Abstract

The invention discloses a plantar pressure acquisition method and system for weight-bearing rehabilitation, and the method comprises the steps: collecting related plantar weight-bearing data of a plurality of plantar regions in the weight-bearing rehabilitation training process of lower limb fracture of a patient through a plurality of plantar sensors, forming a training record corresponding to the current load-bearing rehabilitation training plan based on the related sole load-bearing data; analyzing the training record to obtain a plurality of rehabilitation key indexes used for evaluating the weight-bearing rehabilitation training effect; and sending the training record and the rehabilitation key index to a doctor terminal, so that the doctor terminal generates corresponding doctor's advice information according to the training record and the rehabilitation key index and sends the doctor's advice information to a patient terminal, and a current load rehabilitation training plan of the patient is adjusted based on the doctor's advice information. By utilizing the embodiment of the invention, the collected data and the rehabilitation key indexes can be analyzed, so that a doctor can conveniently monitor the rehabilitation progress and effect of a patient in real time, and the rehabilitation efficiency of the patient is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical rehabilitation, and in particular to a method and system for collecting plantar pressure for weight-bearing rehabilitation. Background Art

[0002] In modern medicine, fracture rehabilitation is an important part of patients' return to normal life, especially for patients with lower limb fractures, who are particularly urgent in terms of the scientificity and effectiveness of weight-bearing training. Traditional weight-bearing rehabilitation methods mainly rely on physicians to evaluate and guide patients' rehabilitation progress based on experience, and often lack quantitative data support. This method is not only prone to subjective bias, but may also lead to irregularities and risks in patients' weight-bearing during the rehabilitation process. In addition, most of the existing weight-bearing training monitoring methods are static detection, which cannot reflect the dynamic changes of patients' plantar weight-bearing during training in real time. Summary of the invention

[0003] The purpose of the present invention is to provide a method and system for collecting plantar pressure for weight-bearing rehabilitation, so as to address the deficiencies in the prior art, and to be able to analyze the collected data with key rehabilitation indicators, so as to facilitate doctors to monitor the patient's rehabilitation progress and effect in real time and improve the patient's rehabilitation efficiency.

[0004] One embodiment of the present application provides a method for collecting plantar pressure for weight-bearing rehabilitation, the method comprising: Collect relevant plantar weight-bearing data of multiple plantar areas during the weight-bearing rehabilitation training of the patient's lower limb fracture through multiple plantar sensors, so as to form a training record corresponding to the current weight-bearing rehabilitation training plan based on the relevant plantar weight-bearing data; Analyzing the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; The training records and the key rehabilitation indicators are sent to the doctor terminal, so that the doctor terminal generates corresponding medical advice information according to the training records and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical advice information.

[0005] Optionally, the training record is analyzed to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training, including: Performing gait analysis on the training records to obtain gait analysis results for evaluating the effect of weight-bearing rehabilitation training; Processing the relevant plantar weight bearing data in the training record to obtain a plantar pressure distribution diagram and a plantar pressure change curve for evaluating the effect of weight bearing rehabilitation training; According to the relevant plantar weight bearing data in the training record, a plantar weight bearing balance index and a plantar weight bearing recovery index for evaluating the effect of weight bearing rehabilitation training are calculated.

[0006] Optionally, the calculation formula of the plantar weight balance index is: Among them, the is the plantar weight balance index at the tth collection time point in the current training period, is the pressure data of the ith foot area at the tth acquisition time point, is the weight of the ith plantar region at the tth acquisition time point, is the sum of the pressures of all plantar regions at the tth acquisition time point, and n is the number of plantar region divisions, wherein the pressure data of the i-th plantar region is the sum of the pressures measured by each pressure sensor in the i-th plantar region.

[0007] Optionally, the calculation formula of the plantar weight recovery index is: Among them, the is the plantar weight recovery index during the current training period, is the ideal weight-bearing pressure of the ith plantar area corresponding to the current weight-bearing rehabilitation, T is the number of acquisition time points in the current training period, is the standard deviation of the pressure data of the ith plantar area during the current training period.

[0008] Optionally, n=6, and the divided plantar areas include: phalangeal area, metatarsal area, lateral arch area, medial arch area, lateral heel area, and medial heel area, and each plantar area is provided with one or more sensors.

[0009] Another embodiment of the present application provides a plantar pressure collection system for weight-bearing rehabilitation, the system comprising: A collection module, used to collect relevant plantar weight bearing data of multiple plantar areas during the weight bearing rehabilitation training of the patient's lower limb fracture through multiple plantar sensors, so as to form a training record corresponding to the current weight bearing rehabilitation training plan based on the relevant plantar weight bearing data; An analysis module, used to analyze the training records and obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; A generation module is used to send the training records and the key rehabilitation indicators to the doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training records and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical order information.

[0010] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0011] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0012] Compared with the prior art, the present invention provides a plantar pressure collection method for weight-bearing rehabilitation, which collects relevant plantar weight-bearing data of multiple plantar areas during the weight-bearing rehabilitation training of patients with lower limb fractures through multiple plantar sensors, so as to form a training record corresponding to the current weight-bearing rehabilitation training plan based on the relevant plantar weight-bearing data; analyze the training record to obtain multiple key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; send the training record and the key rehabilitation indicators to a doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training record and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical order information, so that the collected data can be analyzed with the key rehabilitation indicators, which is convenient for doctors to monitor the patient's rehabilitation progress and effect in real time and improve the patient's rehabilitation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A hardware structure block diagram of a computer terminal for a method for collecting plantar pressure for weight-bearing rehabilitation provided by an embodiment of the present invention; Figure 2 A schematic flow chart of a method for collecting plantar pressure for weight-bearing rehabilitation provided by an embodiment of the present invention; Figure 3 A schematic structural diagram of a plantar pressure collection system for weight-bearing rehabilitation provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0014] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0015] The embodiment of the present invention firstly provides a method for collecting plantar pressure for weight-bearing rehabilitation, which can be applied to electronic devices such as computer terminals, specifically ordinary computers, etc.

[0016] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal for a method of collecting plantar pressure for weight-bearing rehabilitation provided by an embodiment of the present invention. Figure 1As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0017] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any one of the plantar pressure collection methods for weight-bearing rehabilitation.

[0018] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0019] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any plantar pressure collection method for weight-bearing rehabilitation.

[0020] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0021] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0022] See also Figure 2 The embodiment of the present invention provides a method for collecting plantar pressure for weight-bearing rehabilitation, which may include the following steps: S201, collecting relevant plantar weight-bearing data of multiple plantar areas during weight-bearing rehabilitation training of a patient's lower limb fracture through multiple plantar sensors, so as to form a training record corresponding to a current weight-bearing rehabilitation training plan based on the relevant plantar weight-bearing data; This method uses multiple plantar sensors to collect weight-bearing data of various areas of the patient's sole during weight-bearing rehabilitation training after lower limb fractures. These sensors are arranged on intelligent plantar pressure insoles to monitor the pressure distribution of each plantar area of ​​the patient during training in real time. When the patient undergoes rehabilitation training, these sensors can sensitively record the load of each step and generate relevant plantar weight-bearing data. These data are then sorted and analyzed to form detailed training records, thereby providing data support for subsequent adjustments to the rehabilitation plan.

[0023] The significance of this method is to achieve accurate monitoring and dynamic adjustment of the patient's rehabilitation process. By collecting and analyzing plantar pressure data in real time, doctors can understand the patient's performance in weight-bearing training and promptly identify potential rehabilitation problems or ineffective training methods. Data-driven rehabilitation plans can not only improve patients' weight-bearing capacity, but also effectively prevent secondary injuries caused by improper weight-bearing training. At the same time, remote monitoring and real-time feedback mechanisms enable patients to receive professional guidance at home, which helps to improve rehabilitation effects and patient compliance.

[0024] When implementing this method, there is no need to set up a complex plantar pressure sensor system in a hospital or rehabilitation center. Instead, a portable intelligent plantar pressure insole is used, which is equipped with multiple highly sensitive pressure sensors. These sensors can measure the pressure in different areas of the patient's sole and transmit the data to a data collector connected to it through cables. In order to facilitate the patient's daily activities, the data collector is designed as a lightweight device that can be firmly fixed on the patient's calf with a magic strap.

[0025] The data collector has wireless communication function and can connect to the doctor's terminal and the patient's terminal in real time. When the patient is doing weight training, the data of the recovery process will be uploaded to the cloud database in real time, and the doctor can access this data at any time through the terminal. For example, if the patient shows an unbalanced weight-bearing state during the rehabilitation process, the system will automatically issue an alarm, and the doctor can quickly formulate an adjustment plan based on the latest training records and key rehabilitation indicators, and send it to the patient through medical advice information to guide him to make appropriate adjustments.

[0026] For example, if a patient finds that the pressure data of the insole sensor on his left foot is abnormal during training, it means that the left side is not bearing enough weight. The doctor can analyze the data to decide whether to increase the weight training of that foot or adjust the patient's gait correction plan. This feedback mechanism based on real-time data helps to realize personalized and precise rehabilitation plans, so that patients can get more effective support during the recovery process.

[0027] S202, analyzing the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; The analysis of training records is to extract multiple key indicators that reflect the rehabilitation effect by deeply analyzing the data collected during the patient's weight-bearing rehabilitation training. These key indicators include gait analysis results, plantar pressure distribution diagram, plantar pressure change curve, plantar weight-bearing balance index and plantar weight-bearing recovery index, etc. Through these indicators, medical staff can intuitively understand the patient's weight-bearing capacity, gait stability and rehabilitation progress, and thus provide data support for doctors to formulate more effective rehabilitation plans.

[0028] The significance of this analysis process is that it not only helps doctors monitor the patient's recovery in real time, but also adjusts treatment plans based on data and personalizes rehabilitation training plans to improve treatment outcomes. Through quantified key rehabilitation indicators, patients and doctors can clearly see the changes and improvements in the rehabilitation process, thereby enhancing patients' confidence and promoting their active participation in rehabilitation training.

[0029] Specifically, gait analysis may be performed on the training record to obtain gait analysis results for evaluating the effect of weight-bearing rehabilitation training; Gait analysis records and analyzes the way patients walk during weight training, focusing on parameters such as stride length, cadence, and center of gravity movement, and then evaluates the patient's gait stability and coordination. This process usually uses high-precision motion capture equipment combined with data from plantar pressure sensors to accurately obtain the patient's dynamic posture.

[0030] Gait analysis can effectively identify gait deviations and imbalances that patients may have during rehabilitation, providing important basis for medical staff to make adjustments. If gait analysis shows that the patient's weight-bearing capacity on one side is insufficient, the doctor can adjust the training plan accordingly to enable the patient to better restore function.

[0031] In practical applications, gait analysis can be implemented through multiple cameras set up in the rehabilitation training site. The cameras capture the dynamic images of the patient walking in real time. At the same time, the plantar pressure sensor will synchronously record the pressure changes in each plantar area. These data are transmitted to the computer system, and through advanced image processing and data analysis software, a visual chart of the patient's gait is generated in real time. For example, during the training process, every time the patient takes a step, the system will record the changes in his center of gravity and the pressure he bears at each step. After statistical analysis, the system can compare the preset standard gait and generate an analysis report to show whether the patient has unstable walking or abnormal weight bearing in a certain plantar area.

[0032] Processing the relevant plantar weight bearing data in the training record to obtain a plantar pressure distribution diagram and a plantar pressure change curve for evaluating the effect of weight bearing rehabilitation training; In this step, the relevant plantar weight bearing data is systematically processed to generate plantar pressure distribution diagrams and change curves. This process includes statistics and summarization of the pressure data of each area collected by the sensor to form a visual chart to help doctors quickly understand the plantar weight bearing conditions of patients at different training stages.

[0033] The plantar pressure distribution map and change curve can clearly show whether the patient's pressure distribution is uniform and the load-bearing capacity of each plantar area during rehabilitation training. This information is crucial for optimizing training plans because it can reflect the patient's possible weighted or weakened areas, thereby guiding doctors to develop more targeted rehabilitation plans.

[0034] During specific implementation, the plantar sensor will collect and record the pressure data of each area in real time and send it to dedicated data processing software. The software can automatically generate a plantar pressure distribution map, highlighting the pressure level of each area, and indicating the magnitude of the pressure by changes in color depth. At the same time, the system will also calculate the pressure change data of the time series and draw a graph to help analyze the changing trend of the patient's weight-bearing capacity by comparing the pressure curves at different time nodes. For example, a patient may be under greater pressure in the heel area in the early stages of rehabilitation, but as the recovery training progresses, the pressure gradually disperses to the toes and arch area. Such changes will be clearly reflected in the graph, and the medical team can adjust the training focus accordingly.

[0035] According to the relevant plantar weight bearing data in the training record, a plantar weight bearing balance index and a plantar weight bearing recovery index for evaluating the effect of weight bearing rehabilitation training are calculated.

[0036] The core of this step is to use mathematical models to calculate the collected weight-bearing data to obtain the plantar weight-bearing balance index (FLBI) and the plantar weight-bearing recovery index (FLRI). The balance index evaluates the balance of the patient's weight distribution in different plantar areas, while the recovery index is used to measure the patient's recovery of weight-bearing capacity during the rehabilitation process.

[0037] By calculating these indexes, doctors can intuitively see the balance of the patient's weight distribution and the changes in the rehabilitation progress. This not only helps to evaluate the effectiveness of the current rehabilitation, but also provides a scientific basis for the future training direction and intensity, ensuring that the patient gradually increases the weight within a safe range.

[0038] In practice, the calculation of plantar weight-bearing balance index and recovery index is usually completed in data processing software. When calculating the balance index, the system will first count the pressure data of all areas, and then calculate it through a predetermined formula to evaluate the balance of weight in each area. For example, a patient may tend to bear weight on one side due to pain at the beginning of training. Through calculation, it is found that the patient's FLBI shows a lower value, suggesting that the doctor needs to increase the frequency of training on the other side of the plantar area in future training. The calculation of the recovery index depends on the comparison of historical pressure data and real-time monitoring of changing trends to ensure that doctors can adjust the rehabilitation plan in time to adapt to the changing needs of patients.

[0039] Specifically, a calculation formula for the plantar weight balance index may be: The FLBI (Foot Weight Balance Index) is designed to quantify the weight balance of each plantar area during weight-bearing rehabilitation training. Through this index, doctors can understand whether the pressure distribution of patients in different plantar areas is reasonable, and adjust the training plan in time to optimize the rehabilitation effect. The construction of the FLBI is based on the comparison of the pressure data of each plantar area with its ideal weight-bearing weight, aiming to reflect the deviation between the actual weight-bearing and the ideal weight-bearing, and then evaluate the balance of the patient's weight-bearing capacity.

[0040] Among them, the is the plantar weight balance index at the tth collection time point in the current training period, with a value range of 0 to 1. The closer the value is to 1, the more balanced the weight is, and vice versa, it indicates a weight deviation. is the pressure data of the ith foot area at the tth acquisition time point, representing the actual load pressure borne by the area. It provides basic data for FLBI calculation to evaluate the load status of each area. is the weight of the i-th plantar region at the t-th collection time point, which refers to the ideal pressure that the region should bear during weight-bearing rehabilitation and helps define the weight-bearing responsibility and standards of each region. It is the sum of the pressures of all plantar regions at the tth acquisition time point, reflecting the overall weight-bearing situation of the patient at the current moment, and providing a global perspective for FLBI calculation. n is the number of plantar regions divided, where the pressure data of the i-th plantar region is the sum of the pressures measured by each pressure sensor in the i-th plantar region.

[0041] Specifically, a calculation formula for the plantar weight recovery index can be: The FLRI (Foot Weight-bearing Recovery Index) is designed to comprehensively evaluate the recovery status of each plantar area during weight-bearing rehabilitation training. Through this index, doctors can quantify and monitor the recovery of patients' weight-bearing ability during the rehabilitation process, and then formulate more personalized and precise treatment plans. The construction of the FLRI is based on the comparison between the actual weight-bearing situation and the ideal weight-bearing pressure, combined with data analysis of the standard deviation, to reflect the changing trend of the rehabilitation effect.

[0042] Among them, the The value is the plantar weight recovery index during the current training period. The closer the value is to 1, the better the recovery effect is. Conversely, it may indicate that the recovery is not ideal. It is an important measure of the patient's rehabilitation process.

[0043] is the ideal weight-bearing pressure of the ith plantar area corresponding to the current weight-bearing rehabilitation, which is used as the benchmark of the ideal state and compared with the actual collected pressure data to evaluate the recovery status. T is the number of collected time points in the current training period, the total number used for statistical analysis, which reflects the continuity of data collection and thus affects the accuracy of FLRI. is the standard deviation of the pressure data of the ith plantar area during the current training period. As an indicator of volatility and stability, it reflects the uniformity of the load-bearing state in this area. The smaller the standard deviation, the more concentrated the pressure data is on a certain average value, indicating that the rehabilitation process is relatively stable.

[0044] Exemplarily, n=6, and the divided plantar areas include: phalangeal area, metatarsal area, lateral arch area, medial arch area, lateral heel area, and medial heel area, and each plantar area is provided with one or more sensors.

[0045] In this method, the number of plantar regions n is set to 6, including the phalangeal region, metatarsal region, lateral arch region, medial arch region, lateral heel region, and medial heel region. Each region is equipped with one or more pressure sensors to accurately collect the pressure data of each region during weight-bearing training. This layout ensures that the pressure distribution of each important structure of the plantar during weight-bearing rehabilitation is fully monitored, which helps to achieve a comprehensive analysis of the patient's rehabilitation status.

[0046] By dividing the sole of the foot into multiple areas and placing pressure sensors in each area, detailed monitoring of the patient's sole weight can be achieved. This detailed regional division not only facilitates doctors' assessment of weight-bearing capacity, but also promptly detects possible imbalances in patients during weight-bearing rehabilitation, thereby providing data support for personalized rehabilitation plans. This will help improve the efficiency and effectiveness of rehabilitation training and ensure that patients quickly recover their functions in a safe and scientific manner.

[0047] S203, sending the training records and the key rehabilitation indicators to the doctor terminal, so that the doctor terminal generates corresponding medical advice information according to the training records and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical advice information.

[0048] In this method, the transmission of training records and key rehabilitation indicators to the doctor's terminal is a key link, which aims to achieve efficient information exchange between doctors and patients. The data collected by the plantar sensor is organized into training records, and after analysis, key rehabilitation indicators are generated, including the pressure distribution, weight balance index and recovery index of patients during weight-bearing rehabilitation. After receiving these data, the doctor's terminal can quickly and accurately evaluate the patient's rehabilitation progress and generate corresponding medical advice information. The medical advice information not only contains professional advice for the patient's current state, but may also involve adjusting the training load, changing the training method or adding auxiliary rehabilitation measures. Finally, the medical advice information will be sent to the patient's terminal, so that the patient can get the doctor's guidance in time and make corresponding training adjustments.

[0049] The process of sending training records and key rehabilitation indicators to the doctor's terminal greatly improves the accuracy and efficiency of weight-bearing rehabilitation. This information-based communication method enables doctors to understand the patient's rehabilitation status in real time, avoiding the problem of untimely or inaccurate information transmission in traditional methods. In this way, doctors can quickly adjust treatment plans based on the latest data to better meet the personalized needs of each patient and improve rehabilitation effects. At the same time, this also enhances the patient's sense of participation and initiative, improves their attention and understanding of the rehabilitation process, helps to enhance the patient's confidence and treatment compliance, and ultimately promotes the realization of their rehabilitation goals.

[0050] In the specific implementation process, first, the patient wears insoles equipped with multiple plantar sensors during weight-bearing rehabilitation training. These sensors can monitor and record the pressure changes in each plantar area in real time. The system automatically summarizes these pressure data and generates detailed training records, such as the pressure distribution and time series of each training. After the training, these records will be uploaded to the doctor's port. After data analysis, not only the gait analysis results are generated, but also the plantar weight balance index and recovery index are calculated to form key rehabilitation indicators. This information is sent to the doctor's terminal in real time via a wireless network or mobile phone application, and the doctor can view and analyze it through a dedicated software system. For example, if the system detects that the pressure in the medial arch area of ​​the patient is too high, the doctor can check this situation during diagnosis and generate a doctor's order, which may instruct the patient to reduce the weight on this area or increase specific stretching exercises. Subsequently, these doctor's orders will be pushed to the patient's mobile phone application, and the patient can check and adjust his training plan at any time according to the doctor's advice. In addition, the system can also set a reminder function to remind patients to train according to the requirements of the doctor's order to ensure the continuity and effectiveness of the training. This entire process connects patients and doctors through information technology, optimizes rehabilitation management, and safeguards patients' recovery.

[0051] For example, suppose a patient is undergoing weight-bearing rehabilitation training after a lower limb fracture. To this end, the patient uses a pair of smart rehabilitation shoes with multiple built-in pressure sensors. The shoes can not only monitor the patient's plantar pressure with each step, but also upload data in real time through a connected wireless network.

[0052] During each training session, the patient's smart rehabilitation shoes will record the pressure data of various areas of the sole of the foot and form a training record. These pressure data include pressure changes in six main areas (phalange area, metatarsal area, lateral arch area, medial arch area, lateral heel area and medial heel area). The system will automatically calculate key rehabilitation indicators such as the plantar weight balance index (FLBI) and the plantar weight recovery index (FLRI). After the training, all records will be immediately uploaded to the doctor's terminal via Bluetooth or WiFi, usually a dedicated medical management system.

[0053] When the training is completed, the system will send the data to the doctor's terminal through the following steps: 1. Data collation: The system will collate all collected training records (such as pressure data and calculated key rehabilitation indicators) and generate a complete report file.

[0054] 2. Wireless transmission: The report file is sent to the doctor's terminal through a secure wireless network connection. Data transmission uses encryption technology to ensure that patient privacy is protected.

[0055] 3. Real-time update: After receiving the data, the doctor's terminal will update the patient's rehabilitation record in real time and display the latest key rehabilitation indicators on the system interface.

[0056] Doctors can view patients' training records and key rehabilitation indicators through the medical management system. For example, if doctors find that the pressure on the medial arch of the patient is significantly higher than other areas, and the FLBI value is lower than the normal range, it means that the weight is unbalanced. Doctors will analyze the patient's recovery and develop a reasonable adjustment plan. The specific steps are as follows: 1. Data analysis: The doctor will review the patient’s gait analysis results to assess whether there is any gait instability.

[0057] 2. Generate medical advice: Based on the analysis results, the doctor may generate the following medical advice: reduce weight-bearing training on the inner side of the arch; increase the training frequency of the outer arch and phalanges; add targeted stretching and strengthening training to improve weight-bearing balance.

[0058] 3. Doctor’s order confirmation: The doctor confirms the generated doctor’s order information in the system and marks it as “urgent” or “routine”.

[0059] After the doctor's order is generated, the system will send relevant information to the patient's mobile terminal, for example: 1. Email / app notification: The patient’s mobile app will receive a notification to remind them to check for new medical advice information.

[0060] 2. Information display: After the patient opens the app, he or she will see a detailed doctor's advice, including an adjusted training plan, precautions, and recommended exercise time.

[0061] 3. Feedback mechanism: In the application, patients can directly reply to doctors to feedback their feelings or problems and interact on new training plans.

[0062] The patient adjusted the training plan according to the doctor's instructions and continued to use the smart rehabilitation shoes in the following training. After a few weeks, the patient trained again, and the new data recorded by the system will be uploaded again. The doctor will conduct periodic evaluations, thus forming a closed-loop rehabilitation process. This not only improves the patient's initiative in rehabilitation, but also makes the treatment plan more personalized and scientific, helping patients recover faster. Through such information flow and interactive mechanisms, patients receive better support and guidance throughout the weight-bearing rehabilitation process.

[0063] It can be seen that, through multiple plantar sensors, relevant plantar weight-bearing data of multiple plantar areas are collected during the weight-bearing rehabilitation training of patients with lower limb fractures, so as to form a training record corresponding to the current weight-bearing rehabilitation training plan based on the relevant plantar weight-bearing data; the training record is analyzed to obtain multiple key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; the training record and the key rehabilitation indicators are sent to the doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training record and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical order information, so that the collected data can be analyzed with the key rehabilitation indicators, which is convenient for the doctor to monitor the patient's rehabilitation progress and effect in real time and improve the patient's rehabilitation efficiency.

[0064] Another embodiment of the present invention provides a plantar pressure collection system for weight-bearing rehabilitation, see Figure 3 , the system may include: The acquisition module 301 is used to collect relevant plantar weight bearing data of multiple plantar areas during the weight bearing rehabilitation training of the patient's lower limb fracture through multiple plantar sensors, so as to form a training record corresponding to the current weight bearing rehabilitation training plan based on the relevant plantar weight bearing data; An analysis module 302 is used to analyze the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; The generation module 303 is used to send the training records and the key rehabilitation indicators to the doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training records and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical order information.

[0065] It can be seen that, through multiple plantar sensors, relevant plantar weight-bearing data of multiple plantar areas are collected during the weight-bearing rehabilitation training of patients with lower limb fractures, so as to form a training record corresponding to the current weight-bearing rehabilitation training plan based on the relevant plantar weight-bearing data; the training record is analyzed to obtain multiple key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; the training record and the key rehabilitation indicators are sent to the doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training record and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical order information, so that the collected data can be analyzed with the key rehabilitation indicators, which is convenient for the doctor to monitor the patient's rehabilitation progress and effect in real time and improve the patient's rehabilitation efficiency.

[0066] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0067] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201, collecting relevant plantar weight-bearing data of multiple plantar areas during weight-bearing rehabilitation training of a patient's lower limb fracture through multiple plantar sensors, so as to form a training record corresponding to a current weight-bearing rehabilitation training plan based on the relevant plantar weight-bearing data; S202, analyzing the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; S203, sending the training records and the key rehabilitation indicators to the doctor terminal, so that the doctor terminal generates corresponding medical advice information according to the training records and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical advice information.

[0068] It can be seen that, through multiple plantar sensors, relevant plantar weight-bearing data of multiple plantar areas are collected during the weight-bearing rehabilitation training of patients with lower limb fractures, so as to form a training record corresponding to the current weight-bearing rehabilitation training plan based on the relevant plantar weight-bearing data; the training record is analyzed to obtain multiple key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; the training record and the key rehabilitation indicators are sent to the doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training record and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical order information, so that the collected data can be analyzed with the key rehabilitation indicators, which is convenient for the doctor to monitor the patient's rehabilitation progress and effect in real time and improve the patient's rehabilitation efficiency.

[0069] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0070] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0071] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201, collecting relevant plantar weight-bearing data of multiple plantar areas during weight-bearing rehabilitation training of a patient's lower limb fracture through multiple plantar sensors, so as to form a training record corresponding to a current weight-bearing rehabilitation training plan based on the relevant plantar weight-bearing data; S202, analyzing the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; S203, sending the training records and the key rehabilitation indicators to the doctor terminal, so that the doctor terminal generates corresponding medical advice information according to the training records and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical advice information.

[0072] It can be seen that, through multiple plantar sensors, relevant plantar weight-bearing data of multiple plantar areas are collected during the weight-bearing rehabilitation training of patients with lower limb fractures, so as to form a training record corresponding to the current weight-bearing rehabilitation training plan based on the relevant plantar weight-bearing data; the training record is analyzed to obtain multiple key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; the training record and the key rehabilitation indicators are sent to the doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training record and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical order information, so that the collected data can be analyzed with the key rehabilitation indicators, which is convenient for the doctor to monitor the patient's rehabilitation progress and effect in real time and improve the patient's rehabilitation efficiency.

[0073] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A method for collecting plantar pressure for weight-bearing rehabilitation, characterized in that: The method comprises: Collect relevant plantar weight bearing data of multiple plantar areas during the weight bearing rehabilitation training of the patient's lower limb fracture through multiple plantar sensors, so as to form a training record corresponding to the current weight bearing rehabilitation training plan based on the relevant plantar weight bearing data; Analyzing the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; The training records and the key rehabilitation indicators are sent to the doctor terminal, so that the doctor terminal generates corresponding medical advice information according to the training records and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical advice information.

2. The method according to claim 1, characterized in that: The training records are analyzed to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training, including: Performing gait analysis on the training records to obtain gait analysis results for evaluating the effect of weight-bearing rehabilitation training; Processing the relevant plantar weight bearing data in the training record to obtain a plantar pressure distribution diagram and a plantar pressure change curve for evaluating the effect of weight bearing rehabilitation training; According to the relevant plantar weight bearing data in the training record, a plantar weight bearing balance index and a plantar weight bearing recovery index for evaluating the effect of weight bearing rehabilitation training are calculated.

3. The method according to claim 2, characterized in that The calculation formula of the plantar weight balance index is: Among them, the is the plantar weight balance index at the tth collection time point in the current training period, is the pressure data of the ith foot area at the tth acquisition time point, is the weight of the ith plantar region at the tth acquisition time point, is the sum of the pressures of all plantar areas at the tth acquisition time point, and n is the number of plantar area divisions, wherein the pressure data of the i-th plantar area is the sum of the pressures measured by each pressure sensor in the i-th plantar area.

4. The method according to claim 3, characterized in that The calculation formula of the plantar weight recovery index is: Among them, the is the plantar weight recovery index during the current training period, is the ideal weight-bearing pressure of the ith plantar area corresponding to the current weight-bearing rehabilitation, T is the number of acquisition time points in the current training period, is the standard deviation of the pressure data of the ith plantar area during the current training period.

5. The method according to claim 4, characterized in that The n=6, the divided plantar areas include: phalange area, metatarsal area, lateral arch area, medial arch area, lateral heel area, medial heel area, each plantar area is provided with one or more sensors.

6. A plantar pressure collection system for weight-bearing rehabilitation, characterized in that: The system comprises: A collection module, used to collect relevant plantar weight bearing data of multiple plantar areas during the weight bearing rehabilitation training of the patient's lower limb fracture through multiple plantar sensors, so as to form a training record corresponding to the current weight bearing rehabilitation training plan based on the relevant plantar weight bearing data; An analysis module, used to analyze the training records and obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; A generation module is used to send the training records and the key rehabilitation indicators to the doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training records and the key rehabilitation indicators and sends it to the patient terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical order information.

7. The system according to claim 6, characterized in that The analysis module is specifically used for: Performing gait analysis on the training records to obtain gait analysis results for evaluating the effect of weight-bearing rehabilitation training; Processing the relevant plantar weight bearing data in the training record to obtain a plantar pressure distribution diagram and a plantar pressure change curve for evaluating the effect of weight bearing rehabilitation training; According to the relevant plantar weight bearing data in the training record, a plantar weight bearing balance index and a plantar weight bearing recovery index for evaluating the effect of weight bearing rehabilitation training are calculated.

8. The system according to claim 7, characterized in that The calculation formula of the plantar weight balance index is: Among them, the is the plantar weight balance index at the tth collection time point in the current training period, is the pressure data of the ith foot area at the tth acquisition time point, is the weight of the ith plantar region at the tth acquisition time point, The sum of the pressures of all plantar regions at the t-th acquisition time point, where n is the number of plantar region divisions, and the pressure data of the i-th plantar region is the sum of the pressures measured by each pressure sensor in the i-th plantar region.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 5 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 5.

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