A plantar pressure collection method and system for weight-bearing rehabilitation

Abstract

The present invention discloses a plantar pressure collection method and system for weight-bearing rehabilitation, the method comprising: using multiple plantar sensors to collect relevant plantar weight-bearing data of multiple plantar areas during weight-bearing rehabilitation training for a patient with a lower limb fracture, 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 record to obtain multiple key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; sending the training record and the key rehabilitation indicators to a doctor's terminal, so that the doctor's terminal generates corresponding medical advice information based on the training record and the key rehabilitation indicators and sends it to the patient's terminal, so as to adjust the patient's current weight-bearing rehabilitation training plan based on the medical advice information. Utilizing the embodiments of the present invention, the collected data can be analyzed with the key rehabilitation indicators, making it easier for doctors to monitor the patient's rehabilitation progress and effect in real time, thereby improving the patient's rehabilitation efficiency.

Description

Technical Field

[0001] The present invention belongs to the field of medical rehabilitation technology, 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 eager to have scientific and effective weight-bearing training. Traditional weight-bearing rehabilitation methods mainly rely on physicians to evaluate and guide patients' rehabilitation progress based on their 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 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 plantar pressure collection method and system for weight-bearing rehabilitation to address the deficiencies in the prior art. The collected data can be analyzed with key rehabilitation indicators to facilitate doctors to monitor the patient's rehabilitation progress and effects 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:

[0005] Collecting, by using multiple plantar sensors, relevant plantar weight bearing data of multiple plantar regions during weight bearing rehabilitation training for a patient's lower limb fracture, and forming a training record corresponding to a current weight bearing rehabilitation training program based on the relevant plantar weight bearing data;

[0006] Analyzing the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training;

[0007] The training records and the rehabilitation key indicators are sent to the doctor terminal, so that the doctor terminal generates corresponding medical order information based on the training records and the rehabilitation key 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.

[0008] Optionally, the training records are analyzed to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training, including:

[0009] Performing gait analysis on the training records to obtain gait analysis results for evaluating the effect of weight-bearing rehabilitation training;

[0010] Processing 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;

[0011] The plantar weight-bearing balance index and the plantar weight-bearing recovery index for evaluating the effect of weight-bearing rehabilitation training are calculated based on the relevant plantar weight-bearing data in the training record.

[0012] Optionally, the calculation formula of the plantar weight balance index is:

[0013]

[0014] Among them, the is the plantar weight balance index at the tth sampling time point in the current training period, is the pressure data of the ith foot sole 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, n is the number of plantar regions divided, 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.

[0015] Optionally, the calculation formula of the plantar weight recovery index is:

[0016]

[0017] 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.

[0018] Optionally, n=6, and the divided sole areas include: phalangeal area, metatarsal area, lateral arch area, medial arch area, lateral heel area, and medial heel area, and each sole area is provided with one or more sensors.

[0019] Another embodiment of the present application provides a plantar pressure acquisition system for weight-bearing rehabilitation, the system comprising:

[0020] An acquisition module is configured to collect, through a plurality of plantar sensors, relevant plantar weight bearing data of a plurality of plantar regions during weight bearing rehabilitation training for a patient with a lower limb fracture, so as to form a training record corresponding to a current weight bearing rehabilitation training program based on the relevant plantar weight bearing data;

[0021] An analysis module, configured to analyze the training records and obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training;

[0022] A generation module is used to send the training records and the rehabilitation key indicators to the doctor terminal, so that the doctor terminal generates corresponding medical order information based on the training records and the rehabilitation key 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.

[0023] 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 run.

[0024] Yet another embodiment of the present application provides an electronic device, comprising 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 above methods.

[0025] 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; analyzes the training record to obtain multiple key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; sends the training record and the key rehabilitation indicators 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] 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;

[0027] 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;

[0028] Figure 3 A schematic structural diagram of a plantar pressure acquisition system for weight-bearing rehabilitation provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limiting the present invention.

[0030] The embodiment of the present invention first provides a method for collecting plantar pressure for weight-bearing rehabilitation. The method can be applied to electronic devices such as computer terminals, specifically ordinary computers.

[0031] 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 1 As 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.

[0032] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, which, when executed, can cause the processor to execute any one of the plantar pressure collection methods for weight-bearing rehabilitation.

[0033] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0034] 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 one of the plantar pressure collection methods for weight-bearing rehabilitation.

[0035] 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 shown in the figure, or combine certain components, or have a different component arrangement.

[0036] It should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0037] See also Figure 2An embodiment of the present invention provides a method for collecting plantar pressure for weight-bearing rehabilitation, which may include the following steps:

[0038] S201, collecting, using a plurality of plantar sensors, relevant plantar weight bearing data of a plurality of plantar regions during weight bearing rehabilitation training for a patient with a lower limb fracture, and forming a training record corresponding to a current weight bearing rehabilitation training program based on the relevant plantar weight bearing data;

[0039] This method uses multiple plantar sensors to collect weight-bearing data from various areas of the patient's foot during weight-bearing rehabilitation training after lower limb fractures. These sensors are placed on intelligent plantar pressure insoles to monitor the pressure distribution in each plantar area in real time during training. As patients undergo rehabilitation training, these sensors can sensitively record the load of each step, generating relevant plantar weight-bearing data. This data is then organized and analyzed to form a detailed training record, providing data support for subsequent adjustments to the rehabilitation plan.

[0040] The significance of this method lies in achieving 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 allow patients to receive professional guidance at home, which helps improve rehabilitation effects and patient compliance.

[0041] This method eliminates the need for a complex plantar pressure sensor system in a hospital or rehabilitation center. Instead, it uses a portable, intelligent plantar pressure insole equipped with multiple highly sensitive pressure sensors. These sensors measure pressure in different areas of the patient's foot and transmit the data via cables to a connected data collector. To facilitate daily activities, the data collector is designed as a lightweight device that can be securely fastened to the patient's calf with a Velcro strap.

[0042] The data collector has wireless communication capabilities, enabling real-time connections with both the doctor's and patient's terminals. While patients are performing weight-bearing training, data on their recovery process is uploaded to a cloud database in real time, allowing doctors to access this data at any time through their terminals. For example, if a patient exhibits an unbalanced weight-bearing state during rehabilitation, the system will automatically sound an alarm. Doctors can then quickly develop an adjustment plan based on the latest training records and key rehabilitation indicators, and send it to the patient via medical advice, guiding them to make appropriate adjustments.

[0043] For example, if a patient's left insole sensor pressure data is abnormal during training, indicating insufficient weight bearing on the left side, the doctor can analyze the data to determine whether additional weight bearing training for that foot is necessary or adjust the patient's gait correction plan. This real-time data-based feedback mechanism helps implement personalized and precise rehabilitation plans, providing more effective support for patients during their recovery process.

[0044] S202, analyzing the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training;

[0045] Training record analysis involves in-depth analysis of data collected during weight-bearing rehabilitation training to extract multiple key indicators reflecting rehabilitation effectiveness. These include gait analysis results, plantar pressure distribution diagrams, plantar pressure change curves, plantar weight-bearing balance index, and plantar weight-bearing recovery index. These indicators enable medical staff to intuitively understand a patient's weight-bearing capacity, gait stability, and rehabilitation progress, providing data support for doctors to develop more effective rehabilitation plans.

[0046] The significance of this analysis process lies in that it not only helps doctors monitor patients' recovery progress in real time but also enables data-driven adjustments to treatment plans and personalized rehabilitation training programs, thereby improving treatment outcomes. By quantifying key rehabilitation indicators, patients and doctors can clearly see changes and improvements in the recovery process, thereby boosting patients' confidence and encouraging their active participation in rehabilitation training.

[0047] Specifically, gait analysis can be performed on the training record to obtain gait analysis results for evaluating the effect of weight-bearing rehabilitation training;

[0048] Gait analysis records and analyzes the patient's walking style during weight-bearing training, focusing on parameters such as stride length, cadence, and center of gravity shift, thereby assessing the patient's gait stability and coordination. This process typically uses high-precision motion capture equipment combined with data from plantar pressure sensors to accurately capture the patient's dynamic posture.

[0049] Gait analysis can effectively identify gait deviations and imbalances that may occur during rehabilitation, providing medical staff with important guidance for adjustments. If gait analysis reveals a patient's weight-bearing capacity is insufficient on one side, doctors can adjust the training plan accordingly to help the patient better recover function.

[0050] 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 it with 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.

[0051] Processing 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;

[0052] In this step, the relevant plantar load data is systematically processed to generate plantar pressure distribution maps and change curves. This process includes statistically analyzing and summarizing the pressure data collected by the sensors in various regions to form a visual chart, helping doctors quickly understand the patient's plantar load at different training stages.

[0053] Plantar pressure distribution maps and curves clearly demonstrate whether the patient's pressure distribution is even, as well as the load-bearing capacity of each plantar area during rehabilitation training. This information is crucial for optimizing training plans because it can reveal potential areas of weight gain or weakness, guiding doctors in developing more targeted rehabilitation programs.

[0054] 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 time series pressure change data and draw it into a curve graph. By comparing the pressure curves at different time nodes, it helps to analyze the changing trend of the patient's weight-bearing capacity. 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.

[0055] The plantar weight-bearing balance index and the plantar weight-bearing recovery index for evaluating the effect of weight-bearing rehabilitation training are calculated based on the relevant plantar weight-bearing data in the training record.

[0056] The core of this step is to use mathematical models to calculate the collected weight-bearing data to derive the Plantar Weight-Bearing Balance Index (FLBI) and the Plantar Weight-Bearing Recovery Index (FLRI). The balance index assesses the even distribution of weight across different plantar regions, while the FLRI measures the patient's ability to bear weight during rehabilitation.

[0057] By calculating these indices, doctors can visually see the balance of a patient's weight distribution and changes in their rehabilitation progress. This not only helps evaluate the effectiveness of current rehabilitation but also provides a scientific basis for future training direction and intensity, ensuring that patients gradually increase weight within a safe range.

[0058] In practice, the calculation of the 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 degree of weight balance in each area. For example, a patient may tend to bear weight on one side due to pain at the beginning of training. After calculation, it is found that the patient's FLBI shows a low 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 a timely manner to adapt to the patient's changing needs.

[0059] Specifically, a calculation formula for the plantar weight balance index can be:

[0060]

[0061] The FLBI (Foot Load Balance Index) is designed to quantify the balance of weight bearing across various plantar regions during weight-bearing rehabilitation training. This index allows physicians to assess the appropriate distribution of pressure across the patient's plantar regions and adjust training plans accordingly to optimize rehabilitation outcomes. The FLBI compares pressure data for each plantar region with its ideal weight bearing weight, reflecting the deviation between actual and ideal weight bearing, thereby assessing the balance of a patient's weight-bearing capacity.

[0062] Among them, the The plantar weight balance index at the tth sampling time point in the current training period, with a value ranging from 0 to 1. The closer the value is to 1, the more balanced the weight is, and vice versa, it indicates a weight deviation. The pressure data of the ith foot area at the tth acquisition time point represents 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. The sum of the pressures across all plantar regions at the tth acquisition time point reflects the patient's overall weight-bearing status at that moment and provides a global perspective for FLBI calculations. n is the number of plantar regions divided, where the pressure data for the i-th plantar region is the sum of the pressures measured by each pressure sensor within the i-th plantar region.

[0063] Specifically, a calculation formula for the plantar weight-bearing recovery index can be:

[0064]

[0065] The FLRI (Foot Weight-Bearing Recovery Index) is designed to comprehensively assess the recovery status of various plantar regions during weight-bearing rehabilitation training. This index allows physicians to quantify and monitor a patient's weight-bearing capacity recovery throughout the rehabilitation process, enabling the development of more personalized and precise treatment plans. The FLRI is constructed by comparing actual weight-bearing conditions with ideal weight-bearing pressures, combined with standard deviation data analysis, to reflect the changing trends in rehabilitation outcomes.

[0066] Among them, the The index of plantar weight recovery 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 recovery process.

[0067] The ideal weight-bearing pressure of the i-th plantar area corresponding to the current weight-bearing rehabilitation is used as a benchmark for the ideal state and compared with the actual collected pressure data to evaluate the recovery status. The T is the number of collected time points in the current training period, the total number used for statistical analysis, reflecting the continuity of data collection, thus affecting the accuracy of FLRI. is the standard deviation of the pressure data of the i-th plantar area during the current training period. As an indicator of volatility and stability, it reflects the uniformity of the load state in this area. The smaller the standard deviation, the more concentrated the pressure data is around a certain average value, indicating that the rehabilitation process is relatively stable.

[0068] Exemplarily, n=6, and the divided sole areas include: phalangeal area, metatarsal area, lateral arch area, medial arch area, lateral heel area, and medial heel area, and each sole area is provided with one or more sensors.

[0069] In this method, the number of plantar regions, n, is set to six. These regions include the phalanges, metatarsals, lateral arch, medial arch, lateral heel, and medial heel. Each region is equipped with one or more pressure sensors to accurately collect pressure data during weight-bearing training. This arrangement ensures that the pressure distribution of each important plantar structure during weight-bearing rehabilitation is fully monitored, facilitating a comprehensive analysis of the patient's recovery status.

[0070] By dividing the sole of the foot into multiple zones and placing pressure sensors in each, detailed monitoring of the patient's foot load can be achieved. This meticulous zoning not only facilitates physicians' assessment of weight-bearing capacity but also allows for timely identification of potential imbalances during weight-bearing rehabilitation, providing data support for personalized rehabilitation plans. This will help improve the efficiency and effectiveness of rehabilitation training, ensuring rapid, safe, and scientific recovery of patients' function.

[0071] S203, sending the training records and the rehabilitation key indicators to the doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training records and the rehabilitation key 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.

[0072] In this method, the transmission of training records and key rehabilitation indicators to the doctor's terminal is a key link, aiming 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. These indicators include the pressure distribution, weight balance index, and recovery index of the patient during weight-bearing rehabilitation. After receiving this data, the doctor's terminal can quickly and accurately evaluate the patient's rehabilitation progress and generate corresponding medical advice information. This medical advice information not only contains professional advice for the patient's current condition, 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 a timely manner and make corresponding training adjustments.

[0073] The process of transmitting training records and key rehabilitation indicators to doctors' terminals greatly improves the accuracy and efficiency of weight-bearing rehabilitation. This information-based communication method enables doctors to understand patients' recovery status in real time, avoiding the problems of delayed or inaccurate information transmission in traditional methods. This allows doctors to quickly adjust treatment plans based on the latest data to better meet the personalized needs of each patient and improve rehabilitation outcomes. At the same time, this also enhances patient participation and initiative, improves their attention and understanding of the rehabilitation process, helps to strengthen patients' confidence and treatment compliance, and ultimately promotes the achievement of their rehabilitation goals.

[0074] During weight-bearing rehabilitation training, patients first wear insoles equipped with multiple plantar sensors. These sensors monitor and record pressure changes in various plantar regions in real time. The system automatically aggregates this pressure data and generates detailed training records, including pressure distribution and time series for each training session. After training, these records are uploaded to the physician's portal. Data analysis not only generates gait analysis results but also calculates the plantar weight balance index and recovery index, forming key rehabilitation indicators. This information is transmitted to the physician's terminal in real time via a wireless network or mobile app, where the physician can review and analyze it using a dedicated software system. For example, if the system detects excessive pressure in the patient's medial arch area, the physician can review this during diagnosis and generate recommendations, perhaps instructing the patient to reduce weight bearing in that area or increase specific stretching exercises. These recommendations are then pushed to the patient's mobile app, allowing the patient to review and adjust their training plan at any time based on the physician's recommendations. Furthermore, the system can set reminders to remind the patient to train according to the recommended regimen, ensuring continuity and effectiveness of training. This entire process connects patients and doctors through information technology, optimizes rehabilitation management, and safeguards patients' recovery.

[0075] For example, consider a patient undergoing weight-bearing rehabilitation after a lower limb fracture. To achieve this, the patient uses a pair of smart rehabilitation shoes equipped with multiple built-in pressure sensors. These shoes not only monitor plantar pressure with each step, but also upload the data in real time via a connected wireless network.

[0076] During each training session, the patient's smart rehabilitation shoe records pressure data from various areas of the sole of the foot, creating a training log. This data includes pressure changes in six key areas (phalanges, metatarsals, lateral arch, medial arch, lateral heel, and medial heel). The system automatically calculates key rehabilitation metrics, such as the Plantar Weight-Bearing Balance Index (FLBI) and the Plantar Weight-Bearing Recovery Index (FLRI). After the training session, all records are immediately uploaded to the doctor's terminal via Bluetooth or WiFi, typically a dedicated medical management system.

[0077] When the training is complete, the system will send the data to the doctor's terminal through the following steps:

[0078] 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.

[0079] 2. Wireless transmission: The report file is sent to the doctor's terminal via a secure wireless network connection. Data transmission uses encryption technology to ensure that patient privacy is protected.

[0080] 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.

[0081] Doctors can access patients' training records and key rehabilitation indicators through the medical management system. For example, if a doctor finds that a patient's medial arch area experiences significantly higher pressure than other areas, and their FLBI value is below the normal range, this indicates an imbalanced weight bearing. The doctor will analyze the patient's recovery and develop a reasonable adjustment plan. The specific steps are as follows:

[0082] 1. Data analysis: The doctor will review the patient's gait analysis results to assess whether there is any gait instability.

[0083] 2. Generate medical advice: Based on the analysis results, the doctor may generate the following medical advice: reduce weight-bearing training on the inner arch of the foot; increase the training frequency of the outer arch and phalanges; add targeted stretching and strengthening exercises to improve weight-bearing balance.

[0084] 3. Medical order confirmation: The doctor confirms the generated medical order information in the system and marks it as "urgent" or "routine".

[0085] After the medical order is generated, the system will send relevant information to the patient's mobile terminal, such as:

[0086] 1. Email / app notification: The patient's mobile app will receive a notification reminding them to check for new medical order information.

[0087] 2. Information display: After opening the app, the patient will see a detailed medical advice, including the adjusted training plan, precautions, and recommended exercise time.

[0088] 3. Feedback mechanism: In the application, patients can directly reply to doctors to feedback their feelings or problems and interact on new training plans.

[0089] The patient adjusted their training plan according to the doctor's instructions and continued using the smart rehabilitation shoe for subsequent training. After a few weeks, the patient resumed training, and the new data recorded by the system was uploaded again. The doctor then conducted periodic evaluations, thus forming a closed-loop rehabilitation process. This not only increased the patient's initiative in rehabilitation but also made the treatment plan more personalized and scientific, helping the patient recover faster. Through this information flow and interactive mechanism, the patient received better support and guidance throughout the weight-bearing rehabilitation process.

[0090] 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.

[0091] Another embodiment of the present invention provides a plantar pressure collection system for weight-bearing rehabilitation, see Figure 3 , the system may include:

[0092] The acquisition module 301 is configured to collect, through a plurality of plantar sensors, relevant plantar weight bearing data of a plurality of plantar regions during weight bearing rehabilitation training for a patient with a lower limb fracture, and to form a training record corresponding to a current weight bearing rehabilitation training program based on the relevant plantar weight bearing data;

[0093] An analysis module 302 is configured to analyze the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training;

[0094] Generation module 303 is used to send the training records and the rehabilitation key indicators to the doctor terminal, so that the doctor terminal generates corresponding medical order information based on the training records and the rehabilitation key indicators and sends it to the patient terminal to adjust the patient's current weight-bearing rehabilitation training plan based on the medical order information.

[0095] 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.

[0096] An embodiment of the present invention further provides a storage medium storing a computer program, wherein the computer program is configured to execute the steps of any one of the above method embodiments when running.

[0097] Specifically, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:

[0098] S201, collecting, using a plurality of plantar sensors, relevant plantar weight bearing data of a plurality of plantar regions during weight bearing rehabilitation training for a patient with a lower limb fracture, and forming a training record corresponding to a current weight bearing rehabilitation training program based on the relevant plantar weight bearing data;

[0099] S202, analyzing the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training;

[0100] S203, sending the training records and the rehabilitation key indicators to the doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training records and the rehabilitation key 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.

[0101] 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.

[0102] An embodiment of the present invention further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to perform the steps in any one of the above method embodiments.

[0103] 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.

[0104] Specifically, in this embodiment, the processor may be configured to execute the following steps through a computer program:

[0105] S201, collecting, using a plurality of plantar sensors, relevant plantar weight bearing data of a plurality of plantar regions during weight bearing rehabilitation training for a patient with a lower limb fracture, and forming a training record corresponding to a current weight bearing rehabilitation training program based on the relevant plantar weight bearing data;

[0106] S202, analyzing the training records to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training;

[0107] S203, sending the training records and the rehabilitation key indicators to the doctor terminal, so that the doctor terminal generates corresponding medical order information according to the training records and the rehabilitation key 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.

[0108] 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.

[0109] 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 scope of implementation of the present invention is not limited to what is shown in the drawings. Any changes made in accordance with the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which do not exceed the spirit covered by the description and drawings, should be within the scope of protection of the present invention.

Claims

1. A method for collecting plantar pressure for weight-bearing rehabilitation, characterized in that: The method comprises: Collecting, by using multiple plantar sensors, relevant plantar weight bearing data of multiple plantar regions during weight bearing rehabilitation training for a patient's lower limb fracture, and forming a training record corresponding to a current weight bearing rehabilitation training program based on the relevant plantar weight bearing data; The training records are analyzed to obtain a plurality of key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; wherein, gait analysis is performed on the training records to obtain gait analysis results for evaluating the effect of weight-bearing rehabilitation training; relevant plantar weight-bearing data in the training records are processed to obtain a plantar pressure distribution map and a plantar pressure change curve for evaluating the effect of weight-bearing rehabilitation training; based on the relevant plantar weight-bearing data in the training records, a plantar weight-bearing balance index and a plantar weight-bearing recovery index for evaluating the effect of weight-bearing rehabilitation training are calculated; the calculation formula of the plantar weight-bearing balance index is: ； Among them, the is the plantar weight balance index at the tth sampling time point in the current training period, is the pressure data of the ith foot sole 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, n is the number of plantar regions, 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. The plantar weight recovery index is calculated as follows: ； 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 i-th plantar area during the current training period; The training records and the rehabilitation key indicators are sent to the doctor terminal, so that the doctor terminal generates corresponding medical order information based on the training records and the rehabilitation key 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.

2. The method according to claim 1, characterized in that The n=6, and the divided sole areas include: phalangeal area, metatarsal area, lateral arch area, medial arch area, lateral heel area, and medial heel area. Each sole area is provided with one or more sensors.

3. A plantar pressure collection system for weight-bearing rehabilitation, characterized in that: The system comprises: An acquisition module is configured to collect, through a plurality of plantar sensors, relevant plantar weight bearing data of a plurality of plantar regions during weight bearing rehabilitation training for a patient with a lower limb fracture, so as to form a training record corresponding to a current weight bearing rehabilitation training program based on the relevant plantar weight bearing data; The analysis module is used to analyze the training records to obtain multiple key rehabilitation indicators for evaluating the effect of weight-bearing rehabilitation training; wherein, gait analysis is performed on the training records to obtain gait analysis results for evaluating the effect of weight-bearing rehabilitation training; relevant plantar weight-bearing data in the training records are processed to obtain a plantar pressure distribution map and a plantar pressure change curve for evaluating the effect of weight-bearing rehabilitation training; based on the relevant plantar weight-bearing data in the training records, a plantar weight-bearing balance index and a plantar weight-bearing recovery index for evaluating the effect of weight-bearing rehabilitation training are calculated; the calculation formula of the plantar weight-bearing balance index is: ； Among them, the is the plantar weight balance index at the tth sampling time point in the current training period, is the pressure data of the ith foot sole 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, n is the number of plantar regions, 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. The plantar weight recovery index is calculated as follows: ； 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 i-th plantar area during the current training period; A generation module is used to send the training records and the rehabilitation key indicators to the doctor terminal, so that the doctor terminal generates corresponding medical order information based on the training records and the rehabilitation key 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.

4. 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 2 when executed.

5. 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 2.

Images