Rehabilitation treatment information data management system

Abstract

The invention belongs to the technical field of internet service platforms, and particularly relates to a rehabilitation treatment information data management system, which comprises a lower limb movement curve detection component, a lower limb movement curve detection component, a lower limb movement curve detection component, a lower limb movement curve detection component, a lower limb movement curve detection component and a lower limb movement curve detection component, through the arrangement of the data classification module and the period analogy module, rehabilitation data and time records of a rehabilitation person are periodically compared, namely, current-month rehabilitation exercise data and last-month rehabilitation exercise data are compared, and current-week rehabilitation exercise data and last-week rehabilitation exercise data are compared, so that a patient can visually see the rehabilitation progress of himself / herself; a physician can visually check rehabilitation data through phase data comparison, the leg muscle group exercised by each rehabilitation action is fixed, the rehabilitation condition of the corresponding leg muscle group of the rehabilitation person can be known through any rehabilitation action curve graph, and the physician can conveniently conduct rehabilitation training adjustment according to the rehabilitation data shown by the rehabilitation person.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet service platforms, and in particular to a rehabilitation treatment information data management system. Background Art

[0002] Due to the relative concentration of medical resources, an excellent doctor often needs to see multiple rehabilitation personnel. For rehabilitation personnel, their illness course is often long, ranging from 6 months to decades. This means that the doctor may need to manage hundreds or thousands of rehabilitation personnel at the same time and see new patients every day. As a result, the doctor is unable to perceive the rehabilitation status of each rehabilitation person and cannot adjust the rehabilitation plan in time.

[0003] The existing patent (publication number: CN110993057B) is a rehabilitation training system and method based on a cloud platform and a lower limb rehabilitation robot. The rehabilitation training system provided can analyze and track specific rehabilitation data for specific patients, store patient training data and summarize patient historical training data, improve the scientific nature of patient rehabilitation training plan formulation, and accelerate the patient's rehabilitation training process. The patient's training data selected includes: the patient's real-time leg joint angle, the patient's waist rotation angle, the left and right waist force, etc. The above rehabilitation data is difficult for doctors to intuitively perceive the patient's data changes First of all, it is necessary to understand that rehabilitation treatment does not necessarily fully restore to the normal level. Therefore, rehabilitation personnel often need to compare their own conditions. Due to different symptoms, the recovery conditions of rehabilitation personnel at different stages are different. Simply relying on the above data cannot fit the actual situation of the patient. At the same time, the rehabilitation stages and changes vary from person to person, and the rehabilitation treatment cycle is very long. A doctor may need to assist thousands of rehabilitation personnel for a long time. How to quickly let the doctor understand the rehabilitation personnel's rehabilitation change speed and the stage of rehabilitation is more critical. The doctor needs to adjust the rehabilitation treatment plan according to the rehabilitation situation of the rehabilitation personnel.

[0004] Therefore, it is necessary to provide a rehabilitation treatment information data management system to solve the above technical problems. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a rehabilitation treatment information data management system to assist doctors in managing the data of multiple rehabilitation personnel and to more intuitively understand the rehabilitation status of the rehabilitation personnel.

[0006] The present invention provides a rehabilitation treatment information data management system:

[0007] Lower limb motion curve detection component: multiple laser ranging sensors are installed on the lower limbs and ankles of the rehabilitation personnel to measure the height curve of the lower limbs of the rehabilitation personnel during rehabilitation exercises;

[0008] Receiving module: receiving the height trajectory data of the foot during rehabilitation exercise detected by the laser ranging sensor;

[0009] Data classification module: classify different rehabilitation movements in rehabilitation exercises, and record them separately according to the order of different rehabilitation movements;

[0010] Time recording module: time each set of different rehabilitation movements separately, and time the entire rehabilitation exercise time at the same time;

[0011] Upload module: upload the change curve and time of each group of different rehabilitation movements in the rehabilitation exercise and the entire rehabilitation exercise time into rehabilitation data to the rehabilitation information platform;

[0012] Periodic analogy unit: Periodic analogy is performed on the rehabilitation data uploaded by the same rehabilitation personnel, with weekly analogy compared with the same period of the previous week, and monthly analogy compared with the same period of the previous month, to form analogy data;

[0013] Physician side: log in to the rehabilitation information platform to view the rehabilitation data of the rehabilitation personnel and the analog data of the cycle analog unit;

[0014] Rehabilitation personnel side: stores personal rehabilitation data and rehabilitation exercise videos;

[0015] Rehabilitation information platform: stores rehabilitation data of rehabilitation personnel and provides intuitive rehabilitation data using cycle analogy units.

[0016] Preferably, the rehabilitation information platform is built based on a cloud platform, and information uploading and downloading between the rehabilitation personnel and the physician are completed through a communication protocol. The rehabilitation personnel perform rehabilitation exercises by wearing a lower limb motion curve detection component, and the lower limb motion curve detection component uploads the height curve and time of the rehabilitation personnel's lower limbs during the rehabilitation exercise to the rehabilitation personnel end.

[0017] Preferably, the physician sends the entire rehabilitation exercise to the rehabilitation personnel on the rehabilitation information platform, and splits the entire rehabilitation exercise into several groups of rehabilitation movements through the data classification module. For each group of rehabilitation movements, the lower limb height curve of the rehabilitation movement is recorded separately through the lower limb motion curve detection component.

[0018] Preferably, the time period of the entire rehabilitation exercise is recorded by the time recording module, and separate time periods are recorded according to several groups of rehabilitation movements in the data classification module.

[0019] Preferably, the periodic analogy unit is divided into two periodic analogies:

[0020] The first one is to compare the lower limb height curve and completion time of the same rehabilitation movement with the same period last week; the completion time of the whole set of rehabilitation exercises is compared with the same period last week;

[0021] The second type is to compare the lower limb height curve and completion time of the same rehabilitation movement with the same period of the previous month; and to compare the completion time of the whole set of rehabilitation exercises with the same period of the previous month;

[0022] Analogy method: The two sets of data in the above periodic analogy are compared by displaying curves according to the height change and time lapse;

[0023] The rehabilitation index is obtained by evaluating the completion time of each set of rehabilitation movements, the completion time of the entire rehabilitation movement, the stability of the lower limb height curve, and the completion degree of the rehabilitation movements, and compared with the previous cycle.

[0024] Preferably, the calculation process of the rehabilitation index is as follows:

[0025] The completion time of each set of rehabilitation movements is T1, T2, and T3;

[0026] The time for the entire rehabilitation exercise to be completed is T;

[0027] Stability of the lower limb height curve S;

[0028] Completion degree of rehabilitation action C;

[0029] Recovery index X;

[0030] T = T1 + T2 + T3;

[0031] Assume the weight of each variable is w T 、w S and w C :

[0032] X=w T ·f(T)+w S ·S+w C ·C

[0033] Among them: f(T) is a time function, which is used to evaluate the quality of completion time. The shorter the completion time, the better the rehabilitation effect. Therefore, f(T) is the reciprocal of T or a function inversely proportional to T. Assuming that the completion time T1, T2, and T3 of each set of rehabilitation movements have the same effect on the rehabilitation index, then take

[0034] Preferably, in the first type of periodic analogy, the time of the same set of rehabilitation movements is compared in a curve according to the order before and after the recording, and the time of the entire rehabilitation exercise is compared in a curve according to the order before and after the recording.

[0035] Preferably, the physician end replaces the rehabilitation exercises recorded by the rehabilitation personnel end, and then the data classification module splits the new rehabilitation exercises.

[0036] Compared with the related art, the rehabilitation treatment information data management system provided by the present invention has the following beneficial effects:

[0037] 1. The present invention splits the whole group of rehabilitation exercises through the data classification module, records the rehabilitation data and time of a single group of rehabilitation exercises, and forms a curve graph of the single group of rehabilitation movement data and time, so as to intuitively understand the completion status of the rehabilitation movements.

[0038] 2. The present invention is set up through a data classification module and a periodic analogy module. By periodically comparing the rehabilitation data and time records of the rehabilitation personnel, that is, comparing this month's rehabilitation exercise data with last month's rehabilitation exercise data, and comparing this week's rehabilitation exercise data with last week's rehabilitation exercise data, the patient can intuitively see his or her rehabilitation progress, and the doctor can intuitively view the rehabilitation data through stage data comparison. Each rehabilitation movement exercises a certain leg muscle group. Any rehabilitation movement curve can be used to understand the rehabilitation status of the corresponding leg muscle group of the rehabilitation personnel, which is beneficial for the doctor to make rehabilitation training adjustments based on the rehabilitation data shown by the rehabilitation personnel.

[0039] 3. The analogy mode setting of the cycle analogy module of the present invention indexes any rehabilitation action of the rehabilitation personnel within a cycle. The rehabilitation changes of a certain rehabilitation action of the rehabilitation personnel can be intuitively evaluated through the rehabilitation index. The doctor can judge whether the rehabilitation status of the leg muscle group corresponding to the rehabilitation action has improved based on the index change of the rehabilitation action within a cycle. If there is no change, targeted rehabilitation treatment can be given. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is an overall schematic diagram of a rehabilitation treatment information data management system provided by the present invention;

[0041] Figure 2 A schematic diagram of a rehabilitation exercise leg raise height curve of a rehabilitation treatment information data management system provided by the present invention;

[0042] Figure 3 A schematic flow chart of two groups of rehabilitation exercise leg raise height curves of a rehabilitation treatment information data management system provided by the present invention;

[0043] Figure 4 A schematic diagram of period comparison of a rehabilitation treatment information data management system provided by the present invention;

[0044] Figure 5 A schematic diagram of the periodic changes of the rehabilitation index of a rehabilitation treatment information data management system provided by the present invention. DETAILED DESCRIPTION

[0045] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Embodiment 1

[0047] A rehabilitation treatment information data management system:

[0048] Lower limb motion curve detection component: multiple laser ranging sensors are installed on the lower limbs and ankles of the rehabilitation personnel to measure the height curve of the lower limbs of the rehabilitation personnel during rehabilitation exercises;

[0049] The lower limb motion curve detection component can be fixed in a soft bag formed by a medical bandage, and multiple laser ranging sensors can be installed on the lower limbs and ankles of the rehabilitation personnel, or a lower limb bracket can be made of lightweight metal, and then multiple laser ranging sensors can be installed on the lower limb bracket to be detected;

[0050] Due to the rehabilitation exercises done by the rehabilitation personnel, such as: single-leg squats, lunges, leg press, flexibility training, high leg lifts while walking, single-leg standing, alternating standing on both feet, squats, exercise bikes, etc., these will cause a certain part of the lower limbs to change in height. Even severely paralyzed people need to start with simple leg lifts and walking with auxiliary poles. The height change of the lower limbs is estimated to feedback the status information of the lower limbs. At the same time, it is necessary to understand that lower limb action compensation refers to the damage to a certain part or function of the lower limbs, which causes the patient to adapt and make up for this deficiency by changing the original movement pattern during walking or other activities. In rehabilitation exercises, the digital display of the movement of a certain limb cannot represent the movement situation of the rehabilitation personnel. However, it is mainly based on the accessories, whether the action can be completed, how complete the action is, and how long it takes to complete, to judge the rehabilitation situation. By installing multiple laser ranging sensors on the instep, ankle, calf, knee and thigh respectively, these five categories.

[0051] Receiving module: receiving the height trajectory data of the foot during rehabilitation exercise detected by the laser ranging sensor;

[0052] The data detected by the lower limb motion curve detection component is transmitted back to the rehabilitation personnel end of the mobile phone through the receiving module. The receiving module can adopt a Bluetooth module. During the actual construction process, the Bluetooth module of the lower limb motion curve detection component is connected through the Bluetooth module of the mobile phone to upload the detection data in real time.

[0053] Rehabilitation personnel side: stores personal rehabilitation data and rehabilitation exercise videos;

[0054] Physician side: log in to the rehabilitation information platform to view the rehabilitation data of the rehabilitation personnel and the analog data of the periodic analog unit. The physician side replaces the rehabilitation exercise recorded by the rehabilitation personnel side, and then the data classification module splits the new rehabilitation exercise;

[0055] Rehabilitation information platform: stores rehabilitation data of rehabilitation personnel and provides intuitive rehabilitation data using cycle analogy units;

[0056] A rehabilitation information platform that can be logged in via mobile phones is established, and rehabilitation personnel and physicians log in via mobile phones. Rehabilitation personnel log in to the rehabilitation information platform through the rehabilitation personnel end. Rehabilitation personnel can view the physician's updated medical instructions, the physician's phased suggestions for rehabilitation, and the changes in rehabilitation exercises arranged by the physician through the rehabilitation information platform. They can directly feedback their personal feelings and recent rehabilitation changes. Physicians log in to the rehabilitation information platform through the physician end and can view the rehabilitation data icons of each patient. A periodic reminder module is added to the physician end, that is, a reminder to check the rehabilitation data every two weeks within a year of the course of the disease, a reminder to check the rehabilitation data every month within 1-2 years of the course of the disease, and a reminder to check the rehabilitation data every three months within 2-4 years of the course of the disease. The viewing cycle can be adjusted based on the patient's actual situation to ensure that the physician understands the rehabilitation status of multiple rehabilitation personnel within a time frame and adjusts the rehabilitation treatment plan in a timely manner.

[0057] Through the rehabilitation information platform, an Internet service platform, doctors and rehabilitation personnel can communicate with each other. At the same time, data can be integrated through the rehabilitation information platform, and the data can be intuitively fed back to doctors in the form of curve graphs and rehabilitation indexes, so that doctors can view the rehabilitation status more intuitively.

[0058] The establishment of a rehabilitation information platform requires relying on Internet of Things technology. Through a rehabilitation equipment Internet of Things platform that supports multiple protocols, in addition to the lower limb motion curve detection component mentioned in this application, data from rehabilitation equipment of different brands can also be accessed and integrated.

[0059] Utilize big data and artificial intelligence to build a rehabilitation big data platform, and use artificial intelligence technologies such as machine learning and deep learning to provide management and analysis services for all data.

[0060] Establish a rehabilitation disease-specific database to aggregate rehabilitation-related data from various systems and provide a basis for data analysis and management.

[0061] In terms of hardware, a stable cloud platform server can be established based on the cloud platform server to store and manage patient training data.

[0062] In terms of software, it is necessary to develop rehabilitation management software for mobile phones (rehabilitation personnel use mobile phones to log in to the rehabilitation information platform).

[0063] Data classification module: classify different rehabilitation movements in rehabilitation exercises, and record them separately according to the order of different rehabilitation movements;

[0064] The physician sends the entire rehabilitation exercise to the rehabilitation personnel on the rehabilitation information platform. The data classification module divides the entire rehabilitation exercise into several groups of rehabilitation movements. The lower limb height curve of each group of rehabilitation movements is recorded separately by the lower limb motion curve detection component. For example, the physician requires the rehabilitation personnel to do three sets of lunges for 1 minute, three sets of leg raises for 20 times each, three sets of high leg raises for 5 times each while walking, three sets of single-leg standing for 30 seconds, and three sets of alternating standing on both feet for 10 seconds each.

[0065] The data classification module splits the rehabilitation exercise into three sets of lunge movements, i.e., the height data of each lunge movement is recorded, the duration of each set is recorded, and the total time is obtained by adding up the duration of each set of lunges. The same goes for the others, e.g., for 20 leg raises, the height of each set of 20 leg raises is recorded in sequence, the total time of the 20 leg raises is recorded, and the total time is obtained by adding up the time of each set of three leg raises.

[0066] It should be noted that when doing lunge movements, the height changes detected by the calf, knee and thigh show jagged fluctuations. The larger the fluctuation difference is, the poor rehabilitation status is indicated. The smaller the fluctuation difference is, or the change curve is in an arc shape, the better the rehabilitation status is.

[0067] When doing leg presses, alternate between the left and right legs and raise each leg 10 times. By recording the changes in the height of the ankle, lower leg and thigh, it is sufficient to reflect the completion of the rehabilitation movement.

[0068] Time recording module: time each set of different rehabilitation movements separately, and time the entire rehabilitation exercise time at the same time;

[0069] The time period of the entire rehabilitation exercise is recorded through the time recording module, and the individual time periods of several groups of rehabilitation movements in the data classification module are recorded;

[0070] For example, for the rehabilitation exercise leg press, the time period and height changes of a single leg press action can be viewed in a curve graph, the time period of a group of actions can be recorded separately, and the sum of the recorded time of three groups of leg press rehabilitation actions equals the total time of the rehabilitation exercise leg press.

[0071] Upload module: upload the change curve and time of each group of different rehabilitation movements in the rehabilitation exercise, and the entire rehabilitation exercise time to the rehabilitation information platform. Figure 2 ;

[0072] Through the uploading module in the rehabilitation information platform of the rehabilitation personnel, the rehabilitation exercise data of the rehabilitation personnel, including the change curve and time of different rehabilitation movements and the entire rehabilitation exercise time, are uploaded to the rehabilitation information platform and fed back to the associated physician end, which can directly view the data.

[0073] Periodic analogy unit: Periodic analogy is performed on the rehabilitation data uploaded by the same rehabilitation personnel, with weekly analogy compared with the same period of the previous week, and monthly analogy compared with the same period of the previous month, to form analogy data;

[0074] The periodic analogy unit is divided into two types of periodic analogies:

[0075] The first one is to compare the lower limb height curve and completion time of the same rehabilitation movement with the same period last week; the completion time of the whole set of rehabilitation exercises is compared with the same period last week;

[0076] The first type of cycle analogy is to make a curve comparison chart of the time of the same set of rehabilitation movements in the order before and after recording. The time of the entire rehabilitation exercise is made into a curve comparison chart in the order before and after recording. Figure 3 ;

[0077] The second method is to compare the lower limb height curve and completion time of the same rehabilitation movement with the same period of the previous month; the completion time of the whole set of rehabilitation exercises with the same period of the previous month, Figure 4 ;

[0078] Analogy method: The two sets of data in the above periodic analogy are compared by displaying curves according to the height change and time lapse;

[0079] The rehabilitation index is obtained by evaluating the completion time of each set of rehabilitation movements, the completion time of the entire rehabilitation movement, the stability of the lower limb height curve, and the completion degree of the rehabilitation movement. Figure 5 .

[0080] Rehabilitation index formula for lower limb rehabilitation exercise. We use the analytic hierarchy process (AHP) to determine the weights of different variables and combine these weights to construct a comprehensive evaluation formula. Assume that we have obtained the weights of each variable through the AHP (analytic hierarchy process) method, which are w T 、w S and w C , where w T +w S +w C =1;

[0081] The calculation process of the rehabilitation index is as follows:

[0082] The completion time of each set of rehabilitation movements is T1, T2, and T3;

[0083] The time for the entire rehabilitation exercise to be completed is T;

[0084] Stability of the lower limb height curve S;

[0085] Completion degree of rehabilitation action C;

[0086] Recovery index X;

[0087] T = T1 + T2 + T3;

[0088] Assume the weight of each variable is w T 、w S and w C :

[0089] X=w T ·f(T)+w S ·S+w C ·C

[0090] Among them: f(T) is a time function, which is used to evaluate the quality of completion time. The shorter the completion time, the better the rehabilitation effect. Therefore, f(T) is the reciprocal of T or a function inversely proportional to T. Assuming that the completion time T1, T2, and T3 of each set of rehabilitation movements have the same effect on the rehabilitation index, then take

[0091] Assume that w T =0.4, w S =0.3, w C =0.3, then the calculation formula of rehabilitation index X is:

[0092]

[0093] Here, T=T1+T2+T3, S and C are normalized values ​​ranging from 0 to 1.

[0094] To further optimize the above time function, you can use:

[0095] Logarithmic function: Considering that the rehabilitation effect may increase rapidly over time in the early stage and then stabilize, a logarithmic function can be used to describe this relationship, for example, This can better reflect the diminishing marginal utility effect of time.

[0096] Exponential decay function: If the rehabilitation effect gradually weakens over time, an exponential decay model can be used, such as f(T) = e -αT , where α is the attenuation coefficient.

[0097] The above method can be used as a reference. This formula requires a large amount of data for optimization.

[0098] The physician side replaces the rehabilitation exercises recorded by the rehabilitation personnel side, and then the data classification module splits the new rehabilitation exercises, and adjusts the rehabilitation exercises for the rehabilitation personnel who have made progress in rehabilitation treatment. Specific embodiment 2

[0100] After the doctor receives the rehabilitation patient in the outpatient clinic, the doctor logs into the rehabilitation information platform from the doctor's end through the mobile phone, and after the rehabilitation patient's rehabilitation patient end is placed under his / her own management, the doctor's end sends the entire rehabilitation exercise to the rehabilitation patient end on the rehabilitation information platform, and the data classification module divides the entire rehabilitation exercise into several groups of rehabilitation movements;

[0101] The rehabilitation personnel wear the lower limb motion curve detection component, and use multiple laser ranging sensors installed on the height changes of the lower limbs and ankles of the rehabilitation personnel. The receiving module of the mobile phone receives the height trajectory data of the foot during the rehabilitation exercise detected by the laser ranging sensors;

[0102] Rehabilitation personnel can log in to the rehabilitation information platform through their mobile phones and view the rehabilitation exercise videos sent by the physician. Through the data classification module, the rehabilitation exercise is split into three groups of lunges, that is, the height data of each lunge movement is recorded, and the duration of each group can be recorded. The total time is the sum of the duration of each group of three lunges.

[0103] For example, click on the lunge in the rehabilitation action on the mobile phone interface, click on the first group, and then start the rehabilitation action. The time recording module will time the single group of rehabilitation actions. After completing three groups of rehabilitation actions in sequence, the time recording module will add the time of the first group, the second group and the third group to get the total time;

[0104] The completion time and rehabilitation data are recorded in sequence according to the rehabilitation exercises separated by the data classification module.

[0105] After the rehabilitator has continued rehabilitation for three months;

[0106] The rehabilitation data uploaded by the same rehabilitation personnel are periodically compared through the periodic analogy unit, with each week being compared with the same period last week, and each month being compared with the same period last month, to form analogy data;

[0107] Compare the time of the same set of rehabilitation movements in the order before and after recording, and compare the time of the entire rehabilitation exercise in the order before and after recording;

[0108] The lower limb height curve and completion time of the same rehabilitation movement were compared with the same period of the previous month; the completion time of the whole set of rehabilitation exercises was compared with the same period of the previous month;

[0109] Calculate two groups of rehabilitation indexes based on rehabilitation data, upload the two groups of comparison charts and the two groups of rehabilitation indexes to the rehabilitation information platform through the upload module, and view them on the physician side;

[0110] At the same time, rehabilitation personnel directly feedback their personal feelings and recent rehabilitation changes through the rehabilitation personnel terminal.

[0111] The physician can make changes to the rehabilitation movements based on the rehabilitation personnel's feedback and the above data and charts, and make phased suggestions for rehabilitation exercises. The rehabilitation personnel can log in to the rehabilitation information platform to view the suggestions.

[0112] After the rehabilitation personnel complete the staged rehabilitation exercises and show improvement, the doctor will change the arranged rehabilitation exercises through the doctor's end.

[0113] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A rehabilitation treatment information data management system, characterized in that: Lower limb motion curve detection component: multiple laser ranging sensors are installed on the lower limbs and ankles of the rehabilitation personnel to measure the height curve of the lower limbs of the rehabilitation personnel during rehabilitation exercises; Receiving module: receiving the height trajectory data of the foot during rehabilitation exercise detected by the laser ranging sensor; Data classification module: classify different rehabilitation movements in rehabilitation exercises, and record them separately according to the order of different rehabilitation movements; Time recording module: time each set of different rehabilitation movements separately, and time the entire rehabilitation exercise time at the same time; Upload module: upload the change curve and time of each group of different rehabilitation movements in the rehabilitation exercise and the entire rehabilitation exercise time into rehabilitation data to the rehabilitation information platform; Periodic analogy unit: Periodic analogy is performed on the rehabilitation data uploaded by the same rehabilitation personnel, with weekly analogy compared with the same period of the previous week, and monthly analogy compared with the same period of the previous month, to form analogy data; Physician side: log in to the rehabilitation information platform to view the rehabilitation data of the rehabilitation personnel and the analog data of the cycle analog unit; Rehabilitation personnel side: stores personal rehabilitation data and rehabilitation exercise videos; Rehabilitation information platform: stores rehabilitation data of rehabilitation personnel and provides intuitive rehabilitation data using cycle analogy units.

2. A rehabilitation treatment information data management system according to claim 1, characterized in that: The rehabilitation information platform is built on a cloud platform, and completes information uploading and downloading on the rehabilitation personnel side and the physician side through a communication protocol. The rehabilitation personnel perform rehabilitation exercises by wearing a lower limb motion curve detection component, and the lower limb motion curve detection component uploads the height curve and time of the rehabilitation personnel's lower limbs during the rehabilitation exercise to the rehabilitation personnel side.

3. A rehabilitation treatment information data management system according to claim 1, characterized in that: The physician sends the entire rehabilitation exercise to the rehabilitation personnel on the rehabilitation information platform. The data classification module divides the entire rehabilitation exercise into several groups of rehabilitation movements. The lower limb motion curve detection component is used to separately record the lower limb height curve of each group of rehabilitation movements.

4. A rehabilitation treatment information data management system according to claim 3, characterized in that: The time period of the entire rehabilitation exercise is recorded through the time recording module, and separate time periods are recorded according to several groups of rehabilitation movements in the data classification module.

5. A rehabilitation treatment information data management system according to claim 1, characterized in that: The periodic analogy unit is divided into two types of periodic analogies: The first one is to compare the lower limb height curve and completion time of the same rehabilitation movement with the same period last week; the completion time of the whole set of rehabilitation exercises is compared with the same period last week; The second type is to compare the lower limb height curve and completion time of the same rehabilitation movement with the same period of the previous month; and to compare the completion time of the whole set of rehabilitation exercises with the same period of the previous month; Analogy method: The two sets of data in the above periodic analogy are compared by displaying curves according to the height change and time lapse; The rehabilitation index is obtained by evaluating the completion time of each set of rehabilitation movements, the completion time of the entire rehabilitation movement, the stability of the lower limb height curve, and the completion degree of the rehabilitation movements, and compared with the previous cycle.

6. A rehabilitation treatment information data management system according to claim 5, characterized in that: The calculation process of the rehabilitation index is as follows: The completion time of each set of rehabilitation movements is T1, T2, and T3; The time for the entire rehabilitation exercise to be completed is T; Stability of the lower limb height curve S; Completion degree of rehabilitation movements: C; Recovery index X; T = T1 + T2 + T3; Assume the weight of each variable is w T 、w S and w C : X=w T ·f(T)+w S ·S+w C ·C Among them: f(T) is a time function, which is used to evaluate the quality of completion time. The shorter the completion time, the better the rehabilitation effect. Therefore, f(T) is the reciprocal of T or a function inversely proportional to T. Assuming that the completion time T1, T2, and T3 of each set of rehabilitation movements have the same effect on the rehabilitation index, then take 7. A rehabilitation treatment information data management system according to claim 5, characterized in that: The first type of cycle analogy is to make a curve comparison chart of the time of the same set of rehabilitation movements in the order before and after recording, and to make a curve comparison chart of the time of the entire rehabilitation exercise in the order before and after recording.

8. A rehabilitation treatment information data management system according to claim 3, characterized in that: The physician end replaces the rehabilitation exercises recorded by the rehabilitation personnel end, and then the data classification module splits the new rehabilitation exercises.

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