Intelligent flatfoot diagnosis and treatment detection equipment and planning management system thereof

Abstract

The invention provides flatfoot intelligent diagnosis and treatment detection equipment and a planning management system thereof, belongs to the field of flatfoot detection, and solves the problems of low flatfoot detection efficiency, poor flatfoot detection effect and the like in the prior art. The device comprises a gait testing frame, a foot scanning assembly and a remote monitoring insole, the lower portion of the gait testing frame is provided with a gait testing machine and two symmetrically-arranged side detection assemblies, the middle of the gait testing frame is provided with a user interaction screen, and the upper portion of the gait testing frame is provided with a sliding sling assembly. A hoisting strap assembly is arranged below the sliding sling assembly; the user interaction screen is provided with a planning management holder. The planning management system is mainly composed of the planning management holder, a detection and acquisition module, a data transmission module, a data analysis module, a diagnosis and treatment planning management module, a risk prediction module, a system management and safety module, an application service module and a foot health monitoring module. According to the invention, gait data acquisition, foot 3D detection and real-time remote monitoring of foot data can be carried out.

Description

Technical Field

[0001] The present invention belongs to the technical field of flat foot detection, and relates to an intelligent diagnosis and treatment detection device for flat feet, in particular to an intelligent diagnosis and treatment detection planning and management system for flat feet. Background Art

[0002] With the development of personalized medicine and intelligent technology, the traditional diagnosis and treatment mode for flat feet, a common foot disease, can no longer meet the patients' needs for efficient and accurate treatment.

[0003] Traditional flat foot diagnosis and treatment involves clinical evaluation, imaging examination, and biomechanical evaluation, and doctors select the diagnosis and treatment methods based on the above evaluation results. Traditional treatment usually starts with non-surgical treatment, including recommending wearing special insoles or orthopedic shoes to improve gait and relieve symptoms; guiding foot muscle strengthening and stretching exercises; and suggesting controlling body weight and avoiding behaviors that aggravate the condition, such as standing or walking for a long time. For severe cases, surgical treatment may be considered, such as correcting bone structure or repairing damaged tendons and ligaments. Existing technical problems include: Compared with modern intelligent diagnosis and treatment methods, traditional flat foot diagnosis and treatment rely more on doctors' clinical experience and subjective judgment, while modern methods focus more on data quantification, the formulation and implementation efficiency of personalized treatment plans.

[0004] Based on this, we propose an intelligent diagnosis and treatment detection device for flat feet and its planning and management system, which can stably and efficiently collect gait data of the user's feet, perform 3D foot detection, and remotely monitor foot data in real time. Summary of the Invention

[0005] The purpose of the present invention is to address the above problems existing in the prior art, and propose an intelligent diagnosis and treatment detection device for flat feet and its planning and management system. The technical problem to be solved by this invention is: how to stably and efficiently collect gait data of the user's feet, perform 3D foot detection, and remotely monitor foot data in real time.

[0006] The purpose of the present invention can be achieved by the following technical solutions: An intelligent diagnosis and treatment detection device for flat feet, comprising a gait test frame, a foot scanning component and a remote monitoring insole. A gait testing machine and two symmetrically arranged side detection components are provided at the lower part of the gait test frame. The side detection components are located on both upper sides of the gait testing machine. A user interaction screen is provided in the middle of the gait test frame. A sliding sling component is provided at the upper part of the gait test frame, and a hoisting strap component is provided below the sliding sling component. The hoisting strap component is located directly above the gait testing machine. The foot scanning component is located on the side of the gait test frame, and the user interaction screen and the foot scanning component are on the same side. The user interaction screen is located above the foot scanning component. A planning and management cloud platform is provided on the user interaction screen. A data transmission module, a data analysis module, a diagnosis and treatment planning management module, a risk prediction module, a system management and security module, an application service module and a foot health monitoring module are provided on the planning and management cloud platform.

[0007] The working principle of the present invention: The user first puts both feet into the foot scanning component for 3D scanning of the feet, quickly obtains a three-dimensional model of the patient's feet, and accurately measures key data such as the height of the foot arch, the distribution of plantar pressure, and the valgus angle of the heel. The user stands still on the gait testing machine. Through the cooperation of the gait testing machine and two symmetrically arranged side detection components, static data is collected to obtain data such as the plantar pressure distribution, the shape of the foot arch, and the foot size of the patient's feet when standing still. The user wears the hoisting strap component on the body to prevent falling in the testing room. The user walks and runs on the gait testing machine. During this process, through the cooperation of the gait testing machine and two symmetrically arranged side detection components, dynamic data is collected to analyze parameters such as the gait cycle, the landing method, and the propulsion force, and comprehensively understand the foot function of the patient under daily exercise conditions.

[0008] The collected information is transmitted to the data analysis module through the data transmission module. The data analysis module extracts foot-related features and indicators, such as the foot arch index, the trajectory of the plantar pressure center, and the gait cycle. The diagnosis and treatment planning management module formulates a personalized treatment plan for the patient according to the diagnosis results and the specific situation of the patient, including physical therapy, orthotic insole customization, and rehabilitation training, etc. The risk prediction module predicts the risk of the patient developing flat feet or flat foot-related complications in the future according to factors such as the patient's age, gender, weight, family medical history, and living habits, and the current foot health data, providing guidance for early intervention and prevention. The system management and security module ensures the use safety and data security. The application service module provides an intuitive and convenient operation interface for the user and can perform management and consultation. The user puts the remote monitoring insole into the shoe and cooperates with the foot health monitoring module to remotely and dynamically track and monitor the user's foot health data in real time, such as plantar pressure and foot movement, etc., and gives early warnings for abnormal data situations to timely detect early signs or changes in the condition of flat feet.

[0009] The gait test frame includes a bottom frame in a square shape. A number of moving wheels are fixed to the lower end of the bottom frame. A vertical frame is fixed to the front end of the upper side of the bottom frame. A protective baffle is provided at the rear side of the vertical frame. The upper end of the vertical frame is provided with a top frame that can be adjusted vertically. The top frame is in an L shape. Horizontal protective frames are fixed to the middle parts of both sides of the vertical frame. Inner handles are fixed to the inner sides of the horizontal protective frames, and outer handles are fixed to the outer sides of the horizontal protective frames. The user interaction screen is arranged on the outer side of the horizontal protective frame on one side.

[0010] With the above structure, the height of the top frame can be adjusted according to the height of the user. The bottom frame is used to install the gait testing machine. The protective baffle has a protection function. The top frame is used to install the sliding sling assembly. The user can hold the inner handle to avoid falling. The outer handle is used to move the device. The number of moving wheels is used for the movement of the device.

[0011] The gait testing machine includes a detection support seat and two rotating shafts. The two rotating shafts are rotatably arranged inside the bottom frame. Gait testing tracks are arranged on the two rotating shafts. The detection support seat is fixed inside the bottom frame and is located inside the gait testing tracks. An installation cavity is arranged inside the detection support seat. An installation partition is fixed in the middle of the installation cavity. The installation partition divides the interior of the installation cavity into two installation sub-cavities. A number of equidistantly arranged rod placement through holes are provided on the installation partition and the upper end of the detection support seat. The rod placement through holes are communicated with the two installation sub-cavities. A number of pressure detection components are arranged inside the two installation sub-cavities, and the ball pressure sensors inside the two installation sub-cavities are alternately distributed. The pressure detection components inside the lower installation sub-cavity sequentially pass through the rod placement through holes on the installation partition and the upper end of the detection support seat. The pressure detection components inside the upper installation sub-cavity pass through the rod placement through holes on the upper end of the detection support seat.

[0012] With the above structure, when the user stands on the gait testing track, the gait testing track presses on a number of pressure detection components, that is, the stepped-on pressure detection components are stressed. Gait testing tracks are arranged on the two rotating shafts. The user stands and runs on the gait testing track, and static and dynamic gait data can be collected. The ball pressure sensors inside the two installation sub-cavities are alternately distributed, and a number of pressure detection components are arranged inside the two installation sub-cavities. The purpose is to minimize the distance between adjacent two pressure detection components as much as possible. The pressure detection components inside the lower installation sub-cavity sequentially pass through the rod placement through holes on the installation partition and the upper end of the detection support seat. The pressure detection components inside the upper installation sub-cavity pass through the rod placement through holes on the upper end of the detection support seat to ensure the stable stress of the pressure detection components.

[0013] The pressure detection component includes a detection top seat. An electronic control board and a sensor element are arranged inside the detection top seat. A sealing bottom plate is detachably arranged at the lower end of the detection top seat. The sealing bottom plate is arranged inside the installation sub-cavity at the corresponding position. An electricity connection terminal is arranged on the electronic control board, and the electricity connection terminal extends out of the side part of the detection top seat. A ball installation rod is connected to the upper end of the detection top seat. The ball installation rod passes through the detection top seat and abuts against the upper end of the sensor element. A rotatable ball is arranged at the upper end of the ball installation rod. The ball abuts against the inner top end of the gait test track. The electronic control board, the sensor element and the electricity connection terminal are electrically connected, and the electricity connection terminal is electrically connected to the user interaction screen.

[0014] With the above structure, when the user stands on the gait test track, the gait test track presses on the balls of several pressure detection components. That is, the sensor elements of the pressure detection components being stepped on are stressed, and the stress information is transmitted to the electronic control board to record the stress situation in real time. The gait information is transmitted to the user interaction screen through the electricity connection terminal. The gait test track is arranged on two rotating shafts, and the gait test track moves on the balls under stress.

[0015] The side detection component includes an installation side plate. The installation side plate is fixed on the upper side part of the chassis. A plurality of first laser sensors and a plurality of vision sensors are arranged on the inner side surface of the installation side plate. The first laser sensors and the vision sensors are alternately distributed. The first laser sensors and the vision sensors are both electrically connected to the user interaction screen.

[0016] With the above structure, the first laser sensors and the vision sensors cooperate to collect static or dynamic images of the foot, such as videos of the foot during movement, and transmit the information to the user interaction screen to extract morphological features of the foot, such as the height of the foot arch and the valgus angle of the heel, etc.

[0017] The sliding sling component includes a sling. The sling is slidably arranged at the lower end of the top frame. An installation beam is connected to the lower end of the sling.

[0018] With the above structure, the sling slides at the lower end of the top frame to meet the use requirements. The installation beam is used to install the hoisting harness component.

[0019] The hoisting harness component includes a harness backrest. The harness backrest is connected to the lower end of the installation beam. Shoulder straps and waist straps are arranged on the harness backrest. The waist strap is located below the shoulder strap.

[0020] With the above structure, the user places the harness backrest on the back, the shoulder straps are strapped on the shoulders, and the waist strap is strapped on the waist to ensure the stable wearing of the hoisting harness component.

[0021] The foot scanning component includes a foot scanning box body and a transparent foot placement platform. Four platform supports are provided at the lower end of the transparent foot placement platform. The transparent foot placement platform is located inside the foot scanning box body, and the four platform supports are arranged inside the foot scanning box body. Two symmetrically arranged foot placement cavities communicating with the foot scanning box body are provided on the foot scanning box body. The transparent foot placement platform abuts against the lower part of the foot placement cavity. A number of second laser sensors are provided on the side surrounding surface of the foot placement cavity and the inner bottom of the foot scanning box body. A scanning display screen and control buttons are provided on the foot scanning box body. The scanning display screen and the control buttons are located at both ends of the foot placement cavity. The scanning display screen is electrically connected to the control buttons and the user interaction screen respectively, and the second laser sensors are electrically connected to the user interaction screen.

[0022] With the above structure, the user's feet are respectively placed inside the foot placement cavity, and the user's soles stand on the transparent foot placement platform. The soles will be deformed by force. The second laser sensors on the side surrounding surface of the foot placement cavity and the inner bottom of the foot scanning box body perform 3D scanning on the feet, quickly obtaining a three-dimensional model of the patient's feet, accurately measuring key data such as the height of the foot arch, the distribution of plantar pressure, and the valgus angle of the heel. Compared with traditional measurement methods, the accuracy is greatly improved, and human error can be avoided.

[0023] An intelligent diagnosis, treatment, detection, planning and management system for flat feet mainly consists of a planning and management cloud platform, a detection and acquisition module, a data transmission module, a data analysis module, a diagnosis and treatment planning and management module, a risk prediction module, a system management and security module, an application service module, and a foot health monitoring module; The detection and acquisition module mainly consists of a gait testing machine, a side detection component, a foot scanning component, and a remote monitoring insole; The data transmission module includes a wired communication unit and a wireless communication unit; The data analysis module includes a big data comparison unit, a trend prediction unit, and a data mining unit. The big data comparison unit collects a large amount of flat foot case data of different ages, genders, and disease degrees, compares the patient's detection data with it, quickly judges the stage and severity of the disease, and provides a reference basis for subsequent diagnosis and treatment; the trend prediction unit tracks the patient's multiple detection data based on time series analysis, predicts the development trend of flat feet, and intervenes in advance to prevent the disease from deteriorating; the data mining unit mines potential laws and trends from a large amount of data, the characteristic differences of different types of flat feet, and the associations between flat feet and other foot diseases, providing a basis for intelligent diagnosis and treatment and the formulation of personalized treatment plans; The diagnosis and treatment planning management module includes a personalized treatment plan unit and a rehabilitation tracking and adjustment unit. The personalized treatment plan unit formulates a personalized treatment plan for the patient based on the diagnosis results and the patient's specific conditions, including physical therapy, orthotic insole customization, and rehabilitation training, and tracks and evaluates the treatment process, timely adjusting the treatment plan and the rehabilitation tracking and adjustment unit; The rehabilitation tracking and adjustment unit conducts regular follow-up feedback for the patient during the implementation of the treatment plan. The system records the rehabilitation progress in real time, dynamically adjusts the treatment plan according to the actual situation to ensure the maximization of the treatment effect; The risk prediction module predicts the risk of the patient developing flat feet or flat foot-related complications in the future based on the patient's age, gender, weight, family medical history, lifestyle factors, and current foot health data, providing guidance for early intervention and prevention; The system management and security module includes a user management unit, a data security management unit, and a system maintenance and update unit. The user management unit is responsible for the registration, login, and permission management functions of system users, ensuring that only authorized users can access and use the system, protecting the privacy and data security of patients; The data security management unit adopts encryption technology, access control, and data backup measures to ensure the security and integrity of system data, preventing data leakage, tampering, and loss; The system maintenance and update unit conducts regular maintenance and updates, including software upgrades, inspections, and repairs of hardware devices, ensuring the stable operation and performance optimization of the system; The application service module includes a user interaction unit, a health monitoring and warning unit, a patient management unit, and a health consultation and education unit. The user interaction unit provides an intuitive and convenient operation interface for users, facilitating users to input personal information, view diagnosis results, treatment plans, and health suggestions, and also supports users to interact with the system. The interaction methods are not limited to asking questions and providing feedback; The health monitoring and warning unit remotely and dynamically tracks and monitors the foot health data of users in real time, and warns of abnormal data conditions, timely detecting early signs of flat feet or changes in the condition, reminding users to seek medical treatment or take corresponding measures in a timely manner; The patient management unit manages and maintains the basic information, medical records, and diagnosis and treatment records of patients, facilitating doctors to consult and understand the patient's disease history at any time, providing a reference for subsequent diagnosis and treatment; The health consultation and education unit provides foot health consultation services for patients, answers patients' questions about flat feet, provides suggestions and guidance on daily foot care, and improves patients' self-care awareness and ability; The foot health monitoring module cooperates with the remote monitoring insole to remotely and dynamically track and monitor the foot health data of users in real time. The health data includes plantar pressure and foot movement, and warns of abnormal data conditions, timely detecting early signs of flat feet or changes in the condition.

[0024] Compared with the prior art, the flatfoot intelligent diagnosis and treatment detection device and its planning and management system have the following advantages: Through the cooperation of the gait test frame and the sliding sling assembly and the cooperation of the sliding sling assembly and the hoisting harness assembly, the position of the sliding sling assembly is adjusted according to the user's body size to stably bind the user and prevent the user from falling. Through the cooperation of the gait test frame and the gait testing machine, the user can run on the gait testing machine to collect pressure-based static and dynamic gait data. Through the side detection component, image-based static and dynamic gait data is collected. Through the foot scanning component, a 3D scan of the foot is performed to quickly obtain a three-dimensional model of the patient's foot, and key data such as the arch height, plantar pressure distribution, and heel valgus angle are accurately measured. The foot health monitoring module cooperates with the remote monitoring insole to remotely and dynamically track and monitor the user's foot health data in real time. The health data includes plantar pressure and foot movement, and early warning is given for abnormal data conditions to timely detect early signs of flatfoot or changes in the disease condition. The collected information is transmitted to the data analysis module through the data transmission module. The data analysis module extracts foot-related features and indicators such as the arch index, plantar pressure center trajectory, and gait cycle. The diagnosis and treatment planning and management module formulates a personalized treatment plan for the patient according to the diagnosis results and the specific situation of the patient, including physical therapy, orthotic insole customization, and rehabilitation training, etc. The risk prediction module predicts the risk of the patient developing flatfoot or flatfoot-related complications in the future based on factors such as the patient's age, gender, weight, family medical history, and living habits, and the current foot health data, providing guidance for early intervention and prevention. The system management and security module ensures usage safety and data security. The application service module provides an intuitive and convenient operation interface for users and can perform management and consultation. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a three-dimensional structural schematic diagram of the detection device in the present invention.

[0026] Figure 2 is a three-dimensional structural schematic diagram of some components of the detection device in the present invention.

[0027] Figure 3 is a structural schematic diagram of the detection support component in the present invention.

[0028] Figure 4 is a structural schematic diagram of the pressure detection component in the present invention.

[0029] Figure 5 is a structural schematic diagram of the hoisting harness assembly and the sliding sling assembly in the present invention.

[0030] Figure 6 It is a three-dimensional structure schematic diagram of the foot scanning component in the present invention.

[0031] Figure 7 It is an exploded structure schematic diagram of the foot scanning component in the present invention.

[0032] Figure 8 It is a block diagram of the planning management system in the present invention.

[0033] In the figure, 1 is a gait test frame; 2 is a side detection component; 3 is a hoisting harness component; 4 is a sliding sling component; 5 is a user interaction screen; 6 is a foot scanning component; 7 is a gait tester; 8 is a chassis; 9 is a moving wheel; 10 is a mounting side plate; 11 is a first laser sensor; 12 is a vision sensor; 13 is an inner handle; 14 is a horizontal guard frame; 15 is a mounting beam; 16 is a sling; 17 is a top frame; 18 is an upright frame; 19 is a protective baffle; 20 is an outer handle; 21 is a detection support seat; 22 is a rod placement through hole; 23 is a mounting cavity; 24 is a mounting partition; 25 is a pressure detection component; 26 is a power connection terminal; 27 is a ball; 28 is a ball mounting rod; 29 is a detection top seat; 30 is an electronic control board; 31 is a sealing bottom plate; 32 is a sensor element; 33 is a harness backrest; 34 is a shoulder strap; 35 is a waist strap; 36 is a foot scanning box body; 37 is a scanning display screen; 38 is a foot placement cavity; 39 is a second laser sensor; 40 is a control button; 41 is a transparent foot placement platform; 42 is a platform support. Specific Embodiments

[0034] The following are specific embodiments of the present invention in combination with the accompanying drawings to further describe the technical solutions of the present invention, but the present invention is not limited to these embodiments.

[0035] As Figures 1 - 7 shown, this flat-foot intelligent diagnosis and treatment detection device includes a gait test frame 1, a foot scanning component 6, and a remote monitoring insole. A gait tester 7 and two symmetrically arranged side detection components 2 are provided at the lower part of the gait test frame 1. The side detection components 2 are located on both upper sides of the gait tester 7. A user interaction screen 5 is provided in the middle of the gait test frame 1. A sliding sling component 4 is provided at the upper part of the gait test frame 1. A hoisting harness component 3 is provided below the sliding sling component 4. The hoisting harness component 3 is located directly above the gait tester 7. The foot scanning component 6 is located on the side of the gait test frame 1, and the user interaction screen 5 and the foot scanning component 6 are on the same side. The user interaction screen 5 is located above the foot scanning component 6; a planning management cloud platform is provided on the user interaction screen 5, and a data transmission module, a data analysis module, a diagnosis and treatment planning management module, a risk prediction module, a system management and security module, an application service module, and a foot health monitoring module are provided on the planning management cloud platform.

[0036] The user first places both feet into the foot scanning component 6 for 3D foot scanning to quickly obtain a three-dimensional model of the patient's foot and accurately measure key data such as the arch height, plantar pressure distribution, and heel valgus angle. The user stands still on the gait testing machine 7. Through the cooperation of the gait testing machine 7 and two symmetrically arranged side detection components 2, static data is collected to obtain data such as the plantar pressure distribution, arch shape, and foot size of the patient's foot when standing still. The user wears the hoisting harness component 3 on the body to prevent falling in the testing room. The user walks and runs on the gait testing machine 7. During this process, through the cooperation of the gait testing machine 7 and two symmetrically arranged side detection components 2, dynamic data is collected to analyze parameters such as the gait cycle, landing pattern, and propulsion force, comprehensively understanding the foot function of the patient under daily movement conditions.

[0037] The collected information is transmitted to the data analysis module through the data transmission module. The data analysis module extracts foot-related features and indicators such as the arch index, plantar pressure center trajectory, and gait cycle. The diagnosis and treatment planning management module formulates a personalized treatment plan for the patient according to the diagnosis results and the specific situation of the patient, including physical therapy, orthotic insole customization, and rehabilitation training, etc. The risk prediction module predicts the risk of the patient developing flat feet or flat-foot-related complications in the future based on factors such as the patient's age, gender, weight, family medical history, and living habits, as well as the current foot health data, providing guidance for early intervention and prevention. The system management and security module ensures usage safety and data security. The application service module provides an intuitive and convenient operation interface for the user and can perform management and consultation. The user puts the remote monitoring insole into the shoe and, in cooperation with the foot health monitoring module, remotely and dynamically tracks and monitors the user's foot health data in real time, such as plantar pressure and foot movement, etc., and gives early warnings for abnormal data situations to timely detect early signs of flat feet or changes in the condition.

[0038] The gait testing framework 1 includes a bottom frame 8 in the shape of a mouth character. A number of moving wheels 9 are fixed at the lower end of the bottom frame 8. The front end of the upper side of the bottom frame 8 is fixed with an upright frame 18. A protective baffle 19 is provided at the rear side of the upright frame 18. The upper end of the upright frame 18 is provided with a vertically adjustable top frame 17. The top frame 17 is in an L shape. Transverse protective frames 14 are fixed in the middle of both sides of the upright frame 18. Inner handles 13 are fixed inside the transverse protective frames 14. Outer handles 20 are fixed outside the transverse protective frames 14. The user interaction screen 5 is arranged outside one of the transverse protective frames 14.

[0039] The height of the top frame 17 can be adjusted according to the user's height. The bottom frame 8 is used to install the gait testing machine 7. The protective baffle 19 has a protection function. The top frame 17 is used to install the sliding sling component 4. The user can hold the inner handle 13 to avoid falling. The outer handle 20 is used to move this device. The number of moving wheels 9 is used for the movement of this device.

[0040] The gait testing machine 7 includes a detection support base 21 and two rotating shafts. The two rotating shafts are rotatably arranged inside the chassis 8. Gait testing tracks are provided on the two rotating shafts. The detection support base 21 is fixed inside the chassis 8 and is located inside the gait testing tracks. An installation cavity 23 is provided inside the detection support base 21. An installation partition 24 is fixed in the middle of the installation cavity 23. The installation partition 24 divides the interior of the installation cavity 23 into two installation sub-cavities. A number of equidistantly and uniformly distributed rod placement through holes 22 are provided on the installation partition 24 and at the upper end of the detection support base 21. The rod placement through holes 22 communicate with the two installation sub-cavities. A number of pressure detection components 25 are provided inside the two installation sub-cavities, and the ball pressure sensors inside the two installation sub-cavities are alternately distributed. The pressure detection components 25 inside the lower installation sub-cavity sequentially pass through the rod placement through holes 22 on the installation partition 24 and at the upper end of the detection support base 21, and the pressure detection components 25 inside the upper installation sub-cavity pass through the rod placement through holes 22 at the upper end of the detection support base 21.

[0041] The user stands on the gait testing tracks. The gait testing tracks press on a number of pressure detection components 25, that is, the stepped-on pressure detection components 25 are stressed. Gait testing tracks are provided on the two rotating shafts. The user stands and runs on the gait testing tracks, and static and dynamic gait data can be collected. The ball pressure sensors inside the two installation sub-cavities are alternately distributed, and a number of pressure detection components 25 are provided inside the two installation sub-cavities. The purpose is to minimize the distance between two adjacent pressure detection components 25 as much as possible. The pressure detection components 25 inside the lower installation sub-cavity sequentially pass through the rod placement through holes 22 on the installation partition 24 and at the upper end of the detection support base 21, and the pressure detection components 25 inside the upper installation sub-cavity pass through the rod placement through holes 22 at the upper end of the detection support base 21 to ensure the stable stress of the pressure detection components 25.

[0042] The pressure detection component 25 includes a detection top seat 29. An electronic control board 30 and a sensor element 32 are provided inside the detection top seat 29. A sealing bottom plate 31 is detachably provided at the lower end of the detection top seat 29. The sealing bottom plate 31 is arranged inside the installation sub-cavity at the corresponding position. A power connection end 26 is provided on the electronic control board 30. The power connection end 26 extends out of the side of the detection top seat 29. A ball installation rod 28 is connected to the upper end of the detection top seat 29. The ball installation rod 28 passes through the detection top seat 29 and abuts against the upper end of the sensor element 32. A rotatable ball 27 is provided at the upper end of the ball installation rod 28. The ball 27 abuts against the inner top end of the gait testing tracks. The electronic control board 30, the sensor element 32 and the power connection end 26 are electrically connected. The power connection end 26 is electrically connected to the user interaction screen 5.

[0043] The user stands on the gait test track belt, and the gait test track belt presses on the balls 27 of several pressure detection components 25. That is, the sensor elements 32 of the pressure detection components 25 being stepped on are stressed, and the stress information is transmitted to the electronic control board 30 to record the stress situation in real time. The gait information is transmitted to the user interaction screen 5 through the power connection terminal 26. The gait test track belt is provided on two rotating shafts, and the gait test track belt moves on the balls 27 when stressed.

[0044] The side detection component 2 includes a mounting side plate 10. The mounting side plate 10 is fixed to the upper side part of the chassis 8. A number of first laser sensors 11 and a number of vision sensors 12 are provided on the inner side surfaces of the mounting side plates 10. The first laser sensors 11 and the vision sensors 12 are alternately distributed, and both the first laser sensors 11 and the vision sensors 12 are electrically connected to the user interaction screen 5.

[0045] The first laser sensors 11 and the vision sensors 12 cooperate to collect static or dynamic images of the foot, such as videos of the foot in motion, etc., and transmit the information to the user interaction screen 5 to extract morphological characteristics of the foot, such as the height of the foot arch and the valgus angle of the heel, etc.

[0046] The sliding sling component 4 includes a sling 16. The sling 16 is slidably arranged at the lower end of the top frame 17, and the lower end of the sling 16 is connected with a mounting beam 15.

[0047] The sling 16 slides at the lower end of the top frame 17 to meet the use requirements. The mounting beam 15 is used to mount the hoisting harness component 3.

[0048] The hoisting harness component 3 includes a harness backrest 33. The harness backrest 33 is connected to the lower end of the mounting beam 15. Shoulder straps 34 and a waist strap 35 are provided on the harness backrest 33. The waist strap 35 is located below the shoulder straps 34.

[0049] The user places the harness backrest 33 on the back, the shoulder straps 34 are strapped to the shoulders, and the waist strap 35 is strapped to the waist to ensure the stable wearing of the hoisting harness component 3.

[0050] The foot scanning component 6 includes a foot scanning box body 36 and a transparent foot placement platform 41. Four platform supports 42 are provided at the lower end of the transparent foot placement platform 41. The transparent foot placement platform 41 is located inside the foot scanning box body 36, and the four platform supports 42 are arranged inside the foot scanning box body 36. Two symmetrically arranged foot placement cavities 38 communicating with the foot scanning box body 36 are provided on the foot scanning box body 36. The transparent foot placement platform 41 abuts against the lower part of the foot placement cavity 38. A number of second laser sensors 39 are provided on the side surrounding surface of the foot placement cavity 38 and the inner bottom of the foot scanning box body 36. A scanning display screen 37 and control buttons 40 are provided on the foot scanning box body 36. The scanning display screen 37 and the control buttons 40 are located at both ends of the foot placement cavity 38. The scanning display screen 37 is electrically connected to the control buttons 40 and the user interaction screen 5 respectively, and the second laser sensors 39 are electrically connected to the user interaction screen 5.

[0051] The feet of the user are respectively placed inside the foot placement cavity 38. The sole of the user stands on the transparent foot placement platform 41, and the sole will be deformed by the force. The second laser sensors 39 on the side surrounding surface of the foot placement cavity 38 and the inner bottom of the foot scanning box body 36 perform 3D scanning on the feet, quickly obtain a three-dimensional model of the patient's feet, and accurately measure key data such as the height of the foot arch, the distribution of plantar pressure, and the valgus angle of the heel. Compared with the traditional measurement method, the accuracy is greatly improved, and human error can be avoided.

[0052] As Figure 8 shown, this intelligent diagnosis, treatment, detection, planning and management system for flat feet mainly consists of a planning and management cloud platform, a detection and acquisition module, a data transmission module, a data analysis module, a diagnosis and treatment planning and management module, a risk prediction module, a system management and security module, an application service module, and a foot health monitoring module; The detection and acquisition module mainly consists of a gait testing machine 7, a side detection component 2, a foot scanning component 6, and a remote monitoring insole; The data transmission module includes a wired communication unit and a wireless communication unit; The data analysis module includes a big data comparison unit, a trend prediction unit, and a data mining unit. The big data comparison unit collects a large amount of flat foot case data of different ages, genders, and disease degrees, compares the patient's detection data with it, quickly judges the stage and severity of the disease, and provides a reference basis for subsequent diagnosis and treatment; The trend prediction unit tracks the patient's multiple detection data based on time series analysis, predicts the development trend of flat feet, and intervenes in advance to prevent the deterioration of the disease; The data mining unit mines potential laws and trends from a large amount of data, the characteristic differences of different types of flat feet, and the associations between flat feet and other foot diseases, providing a basis for intelligent diagnosis and treatment and the formulation of personalized treatment plans; The diagnosis and treatment planning management module includes a personalized treatment plan unit and a rehabilitation tracking and adjustment unit. The personalized treatment plan unit formulates a personalized treatment plan for the patient based on the diagnosis results and the specific conditions of the patient, including physical therapy, orthotic insole customization, and rehabilitation training, and tracks and evaluates the treatment process, and adjusts the treatment plan and the rehabilitation tracking and adjustment unit in a timely manner; the rehabilitation tracking and adjustment unit conducts regular follow-up feedback for the patient during the implementation of the treatment plan, the system records the rehabilitation progress in real time, and dynamically adjusts the treatment plan according to the actual situation to ensure the maximization of the treatment effect; The risk prediction module predicts the risk of the patient developing flat feet or flat-foot related complications in the future based on the patient's age, gender, weight, family medical history, lifestyle factors, and current foot health data, and provides guidance for early intervention and prevention; The system management and security module includes a user management unit, a data security management unit, and a system maintenance and update unit. The user management unit is responsible for the registration, login, and permission management functions of system users, ensuring that only authorized users can access and use the system, and protecting the privacy and data security of patients; The data security management unit adopts encryption technology, access control, and data backup measures to ensure the security and integrity of system data, and prevent data leakage, tampering, and loss; The system maintenance and update unit conducts regular maintenance and updates, including software upgrades, inspections, and repairs of hardware devices, to ensure the stable operation and performance optimization of the system; The application service module includes a user interaction unit, a health monitoring and warning unit, a patient management unit, and a health consultation and education unit. The user interaction unit provides an intuitive and convenient operation interface for users, facilitating users to input personal information, view diagnosis results, treatment plans, and health advice, and also supports users to interact with the system, and the interaction methods are not limited to asking questions and giving feedback; the health monitoring and warning unit remotely and dynamically tracks and monitors the foot health data of users in real time, and warns of abnormal data conditions, promptly discovers early signs of flat feet or changes in the condition, and reminds users to seek medical treatment or take corresponding measures in a timely manner; the patient management unit manages and maintains the basic information, medical records, and diagnosis and treatment records of patients, facilitating doctors to consult and understand the patient's medical history at any time, and providing reference for subsequent diagnosis and treatment; the health consultation and education unit provides foot health consultation services for patients, answers patients' questions about flat feet, provides suggestions and guidance on daily foot care, and improves patients' self-care awareness and ability; The foot health monitoring module cooperates with the remote monitoring insole to remotely and dynamically track and monitor the foot health data of users in real time. The health data includes plantar pressure and foot movement, and warns of abnormal data conditions, promptly discovers early signs of flat feet or changes in the condition.

[0053] Working principle of the present invention: The feet of the user are respectively placed inside the foot placement cavity 38, and the soles of the feet of the user stand on the transparent foot placement platform 41. The soles of the feet will deform under force. The laser sensor II 39 on the side surrounding surface of the foot placement cavity 38 and the inner bottom of the foot scanning box body 36 performs 3D scanning on the feet, quickly obtaining a three-dimensional model of the patient's feet, and accurately measuring key data such as the height of the foot arch, the distribution of plantar pressure, and the valgus angle of the heel; The user stands on the gait test track belt without moving. The gait test track belt presses on the balls 27 of several pressure detection components 25. That is, the sensor elements 32 of the pressure detection components 25 being stepped on are stressed, and the stress information is transmitted to the electronic control board 30, recording the stress situation in real time, and transmitting the gait information to the user interaction screen 5 through the power connection terminal 26. The laser sensor I 11 and the vision sensor 12 cooperate to collect static images of the feet, perform static data collection, and obtain data such as the plantar pressure distribution, the shape of the foot arch, and the foot size of the patient's feet when standing still; The height of the top frame 17 can be adjusted according to the height of the user. The user places the backrest 33 of the suspension strap on the back, the shoulder strap 34 is strapped to the shoulders, and the waist strap 35 is strapped to the waist to ensure the stable wearing of the suspension strap assembly 3. The sling 16 slides at the lower end of the top frame 17 to meet the usage requirements. The mounting beam 15 is used to mount the suspension strap assembly 3 to prevent falling in the detection room; The user walks and runs on the gait test machine 7. The gait test track belts are provided on two rotating shafts. The gait test track belts move on the balls 27 under force. Through the cooperation of the gait test machine 7 and two symmetrically arranged side detection components 2, dynamic data collection is performed to analyze parameters such as the gait cycle, the landing method, and the propulsion force, comprehensively understanding the foot function of the patient under daily exercise conditions.

[0054] The collected information is transmitted to the data analysis module through the data transmission module. The big data comparison unit collects a large amount of flat foot case data of different ages, genders, and disease severity levels, compares the patient's detection data with it, quickly judges the stage and severity of the disease, and provides a reference basis for subsequent diagnosis and treatment; the trend prediction unit tracks the patient's multiple detection data based on time series analysis, predicts the development trend of flat feet, and intervenes in advance to prevent the deterioration of the condition; the data mining unit mines potential laws and trends from a large amount of data, the characteristic differences of different types of flat feet, and the association between flat feet and other foot diseases, providing a basis for the formulation of intelligent diagnosis and treatment and personalized treatment plans; The personalized treatment plan unit formulates a personalized treatment plan for the patient according to the diagnosis results and the specific conditions of the patient, including physical therapy, orthotic insole customization, and rehabilitation training, and tracks and evaluates the treatment process, timely adjusting the treatment plan and the rehabilitation tracking and adjustment unit; the rehabilitation tracking and adjustment unit conducts regular return visits and feedback during the implementation of the treatment plan for the patient, the system records the rehabilitation progress in real time, and dynamically adjusts the treatment plan according to the actual situation to ensure the maximization of the treatment effect; The risk prediction module predicts the risk of the patient developing flat feet or flat feet-related complications in the future based on the patient's age, gender, weight, family medical history, lifestyle factors, and current foot health data, providing guidance for early intervention and prevention; The user management unit is responsible for the registration, login, and permission management functions of system users, ensuring that only authorized users can access and use the system, protecting the privacy and data security of patients; the data security management unit adopts encryption technology, access control, and data backup measures to ensure the security and integrity of system data, preventing data leakage, tampering, and loss; the system maintenance and update unit conducts regular maintenance and updates, including software upgrades, inspections, and repairs of hardware devices, ensuring the stable operation and performance optimization of the system; The user interaction unit provides an intuitive and convenient operation interface for users, facilitating users to input personal information, view diagnosis results, treatment plans, and health advice. At the same time, it also supports users to interact with the system, and the interaction methods are not limited to asking questions and providing feedback; the health monitoring and warning unit remotely and dynamically tracks and monitors the foot health data of users in real time, and warns of abnormal data situations, timely detecting early signs of flat feet or changes in the condition, reminding users to seek medical treatment in time or take corresponding measures; the patient management unit manages and maintains the basic information, medical records, and diagnosis and treatment records of patients, facilitating doctors to consult and understand the patient's medical history at any time, providing a reference for subsequent diagnosis and treatment; the health consultation and education unit provides foot health consultation services for patients, answers patients' questions about flat feet, provides suggestions and guidance on daily foot care, and improves the self-care awareness and ability of patients; The user puts the remote monitoring insole into the shoe, and the foot health monitoring module cooperates with the remote monitoring insole to remotely and dynamically track and monitor the foot health data of the user in real time. The health data includes plantar pressure and foot movement, and warns of abnormal data situations, timely detecting early signs of flat feet or changes in the condition.

[0055] In summary, through the cooperation of the gait test frame 1 and the sliding sling assembly 4 and the cooperation of the sliding sling assembly 4 and the hoisting harness assembly 3, the position of the sliding sling assembly 4 is adjusted according to the user's body size, stably binding the user to prevent the user from falling; Through the cooperation of the gait test frame 1 and the gait testing machine 7, the user runs on the gait testing machine 7 to collect pressure-based static and dynamic gait data; It is carried out by the side detection component 2 for image-based static and dynamic gait data acquisition; The foot is 3D scanned by the foot scanning component 6 to quickly obtain a three-dimensional model of the patient's foot, and key data such as the arch height, plantar pressure distribution, and heel valgus angle are accurately measured; The foot health monitoring module cooperates with the remote monitoring insole to remotely and dynamically track and monitor the user's foot health data in real time. The health data includes plantar pressure and foot movement, and warns of abnormal data conditions to timely detect early signs of flat feet or changes in the condition; The collected information is transmitted to the data analysis module through the data transmission module. The data analysis module extracts foot-related features and indicators such as the arch index, plantar pressure center trajectory, and gait cycle. The diagnosis and treatment planning management module formulates a personalized treatment plan for the patient according to the diagnosis results and the specific situation of the patient, including physical therapy, orthotic insole customization, and rehabilitation training, etc. The risk prediction module predicts the risk of the patient developing flat feet or flat foot-related complications in the future based on factors such as the patient's age, gender, weight, family medical history, and living habits, and the current foot health data, providing guidance for early intervention and prevention. The system management and security module ensures usage safety and data security. The application service module provides an intuitive and convenient operation interface for users and can perform management and consultation.

[0056] The specific embodiments described herein are merely illustrative of the spirit of the present invention. Those skilled in the art to which the present invention pertains can make various modifications or supplements to the described specific embodiments or use similar ways to replace them, but will not deviate from the spirit of the present invention or exceed the scope defined by the appended claims.

Claims

1. An intelligent flatfoot diagnosis and treatment detection device, comprising a gait test frame (1), a foot scanning assembly (6) and a remote monitoring insole, wherein a gait test machine (7) and two symmetrically arranged side detection assemblies (2) are provided at the lower part of the gait test frame (1), the side detection assemblies (2) are located at both sides above the gait test machine (7), a user interaction screen (5) is provided at the middle part of the gait test frame (1), a sliding sling assembly (4) is provided at the upper part of the gait test frame (1), and a lifting strap assembly (5) is provided below the sliding sling assembly (4). 3), the lifting harness assembly (3) is located directly above the gait test machine (7), the foot scanning assembly (6) is located on the side of the gait test frame (1), and the user interaction screen (5) and the foot scanning assembly (6) are located on the same side, and the user interaction screen (5) is located above the foot scanning assembly (6); a planning management platform is provided on the user interaction screen (5), and a data transmission module, a data analysis module, a diagnosis and treatment planning management module, a risk prediction module, a system management and security module, an application service module and a foot health monitoring module are provided on the planning management platform.

2. The intelligent flat foot diagnosis and treatment detection device according to claim 1, characterized in that: The gait test frame (1) comprises a base frame (8) in the shape of a U-shaped frame, a plurality of moving wheels (9) are fixed to the lower end of the base frame (8), a vertical frame (18) is fixed to the front end of the upper side of the base frame (8), a protective baffle (19) is provided on the rear side of the vertical frame (18), a vertically adjustable top frame (17) is provided at the upper end of the vertical frame (18), the top frame (17) is L-shaped, horizontal guard frames (14) are fixed to the middle of both sides of the vertical frame (18), inner handles (13) are fixed to the inner side of the horizontal guard frames (14), outer handles (20) are fixed to the outer side of the horizontal guard frames (14), and a user interaction screen (5) is arranged on the outer side of the horizontal guard frame (14) on one side.

3. The intelligent flat foot diagnosis and treatment detection device according to claim 2, characterized in that: The gait testing machine (7) comprises a detection support seat (21) and two rotating shafts, the two rotating shafts being rotatably arranged inside a base frame (8), the two rotating shafts being provided with gait testing tracks, the detection support seat (21) being fixed inside the base frame (8), and the detection support seat (21) being located inside the gait testing tracks, an installation cavity (23) being provided inside the detection support seat (21), an installation partition plate (24) being fixed in the middle of the installation cavity (23), the installation partition plate (24) dividing the inside of the installation cavity (23) into two installation sub-cavities, the installation partition plate (24) and the detection support seat (21) being provided with a mounting cavity (23) and a mounting cavity (24) being provided in the middle of the installation cavity (23). ) are provided with a plurality of rows of equally spaced rod-setting through holes (22) at the upper end thereof, the rod-setting through holes (22) being connected to the two mounting sub-cavities, a plurality of pressure detection components (25) being provided inside the two mounting sub-cavities, and the ball pressure sensors inside the two mounting sub-cavities are alternately distributed, the pressure detection components (25) inside the lower mounting sub-cavity sequentially pass through the rod-setting through holes (22) on the mounting partition (24) and the upper end of the detection support seat (21), and the pressure detection components (25) inside the upper mounting sub-cavity pass through the rod-setting through holes (22) at the upper end of the detection support seat (21).

4. The intelligent flatfoot diagnosis and treatment detection device according to claim 3, characterized in that: The pressure detection assembly (25) comprises a detection top seat (29), wherein an electric control board (30) and a sensor element (32) are arranged inside the detection top seat (29), a sealing bottom plate (31) is detachably arranged at the lower end of the detection top seat (29), and the sealing bottom plate (31) is arranged inside the mounting sub-cavity at a corresponding position, an electric connection terminal (26) is arranged on the electric control board (30), and the electric connection terminal (26) extends out of the side of the detection top seat (29), and the upper end of the detection top seat (29) is connected to a ball mounting rod (28), and the ball mounting rod (28) passes through the detection top seat (29) and abuts against the upper end of the sensor element (32), and a rotatable ball (27) is arranged at the upper end of the ball mounting rod (28), and the ball (27) abuts against the top end of the gait test track, and the electric control board (30) is electrically connected to the sensor element (32) and the electric connection terminal (26), and the electric connection terminal (26) is electrically connected to the user interaction screen (5).

5. The intelligent flatfoot diagnosis and treatment detection device according to claim 4, characterized in that: The side detection assembly (2) comprises a mounting side panel (10), the mounting side panel (10) being fixed to the upper side of the base frame (8), the inner side of the mounting side panel (10) being provided with a plurality of laser sensors (11) and a plurality of visual sensors (12), the laser sensors (11) and the visual sensors (12) being alternately distributed, and the laser sensors (11) and the visual sensors (12) being electrically connected to the user interaction screen (5).

6. The intelligent flatfoot diagnosis and treatment detection device according to claim 5, characterized in that: The sliding sling assembly (4) comprises a sling (16), the sling (16) being slidably arranged at the lower end of the top frame (17), and the lower end of the sling (16) being connected to a mounting beam (15).

7. The intelligent flatfoot diagnosis and treatment detection device according to claim 6, characterized in that: The lifting harness assembly (3) comprises a harness backrest (33), the harness backrest (33) being connected to the lower end of the mounting beam (15), the harness backrest (33) being provided with a shoulder strap (34) and a waist strap (35), and the waist strap (35) being located below the shoulder strap (34).

8. The intelligent flatfoot diagnosis and treatment detection device according to claim 7, characterized in that: The foot scanning assembly (6) comprises a foot scanning box body (36) and a transparent foot placement platform (41); four platform supports (42) are provided at the lower end of the transparent foot placement platform (41); the transparent foot placement platform (41) is located inside the foot scanning box body (36); the four platform supports (42) are arranged inside the foot scanning box body (36); the foot scanning box body (36) is provided with two symmetrically arranged foot placement cavities (38) which are in communication therewith; the transparent foot placement platform (41) abuts against the foot placement cavities (38). A plurality of laser sensors (39) are provided on the side surface of the foot placement cavity (38) and the bottom of the foot scanning box body (36). A scanning display screen (37) and a control button (40) are provided on the foot scanning box body (36). The scanning display screen (37) and the control button (40) are located at two ends of the foot placement cavity (38). The scanning display screen (37) is electrically connected to the control button (40) and the user interaction screen (5) respectively. The laser sensors (39) are electrically connected to the user interaction screen (5).

9. A planning and management system based on intelligent flatfoot diagnosis and treatment detection equipment, characterized in that: It is mainly composed of a planning and management gimbal, a detection and acquisition module, a data transmission module, a data analysis module, a diagnosis and treatment planning management module, a risk prediction module, a system management and security module, an application service module and a foot health monitoring module. The planning and management gimbal is wirelessly connected to external terminal devices.

10. An intelligent flat foot diagnosis, treatment, detection, planning and management system, characterized in that: The detection and acquisition module is mainly composed of a gait tester (7), a side detection component (2), a foot scanning component (6) and a remote monitoring insole; The data transmission module includes a wired communication unit and a wireless communication unit; The data analysis module includes a big data comparison unit, a trend prediction unit and a data mining unit. The big data comparison unit collects a large amount of flat foot case data of different age groups, genders and disease severity, compares the patient's test data with the data, quickly determines the stage and severity of the disease, and provides a reference basis for subsequent diagnosis and treatment; the trend prediction unit tracks the patient's multiple test data based on time series analysis, predicts the development trend of flat feet, intervenes in advance, and prevents the disease from worsening; the data mining unit mines potential laws and trends from a large amount of data, the characteristic differences of different types of flat feet, and the relationship between flat feet and other foot diseases, providing a basis for intelligent diagnosis and treatment and the formulation of personalized treatment plans; The diagnosis and treatment planning management module includes a personalized treatment plan unit and a rehabilitation tracking and adjustment unit. The personalized treatment plan unit formulates a personalized treatment plan for the patient according to the diagnosis results and the patient's specific conditions, including physical therapy, orthopedic insole customization and rehabilitation training, and tracks and evaluates the treatment process, and adjusts the treatment plan and rehabilitation tracking and adjustment unit in a timely manner; the rehabilitation tracking and adjustment unit provides regular return visits and feedback for the patient during the implementation of the treatment plan, and the system records the rehabilitation progress in real time, and dynamically adjusts the treatment plan according to the actual situation to ensure the maximum treatment effect; The risk prediction module predicts the patient's future risk of flat feet or flat foot related complications based on the patient's age, gender, weight, family medical history, lifestyle factors, and current foot health data, providing guidance for early intervention and prevention; The system management and security module includes a user management unit, a data security management unit and a system maintenance and update unit. The user management unit is responsible for the registration, login and authority management functions of system users, ensuring that only authorized users can access and use the system, protecting the privacy and data security of patients; The data security management unit adopts encryption technology, access control, and data backup measures to ensure the security and integrity of system data and prevent data leakage, tampering, and loss; The system maintenance and update unit performs regular maintenance and updates, including software upgrades, hardware equipment inspection and repairs, to ensure stable operation and performance optimization of the system; The application service module includes a user interaction unit, a health monitoring and early warning unit, a patient management unit, and a health consultation and education unit. The user interaction unit provides an intuitive and convenient operation interface for users to input personal information, view diagnosis results, treatment plans and health advice, and also supports users to interact with the system. The interaction method is not limited to asking questions and giving feedback. The health monitoring and early warning unit can remotely track and monitor the user's foot health data in real time, and issue early warnings for abnormal data, timely discover early signs of flat feet or changes in the condition, and remind the user to seek medical treatment or take appropriate measures in time; the patient management unit manages and maintains the patient's basic information, medical records and diagnosis and treatment records, making it convenient for doctors to check and understand the patient's medical history at any time, providing reference for subsequent diagnosis and treatment; The health consultation and education unit provides patients with foot health consultation services, answers patients' questions about flat feet, provides advice and guidance on daily foot care, and improves patients' self-care awareness and ability; The foot health monitoring module cooperates with the remote monitoring insole to remotely track and monitor the user's foot health data in real time, including plantar pressure and foot movement, and issue early warnings for abnormal data to promptly detect early signs of flat feet or changes in the condition.

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