Rehabilitation foot pedal structure, rehabilitation training data processing method and rehabilitation system

Abstract

The application provides a rehabilitation footboard structure, a rehabilitation training data processing method and a rehabilitation system, and relates to the technical field of rehabilitation training. One end of the probe of the rehabilitation footboard structure is in contact with the contact surface of the variable resistance unit; the other end of the probe is connected with the power module, and the power module is also connected with one end of the magnetic surface of the variable resistance unit through the current sensor; the current sensor is also connected with the analog-digital conversion module; the analog-digital conversion module is also connected with the communication module to send rehabilitation training data. The rehabilitation training data is recorded, and the preset training benchmark value and the preset thrombus benchmark value of the target category corresponding to the target rehabilitation object are accurately determined from the training benchmark values and the thrombus benchmark values of a plurality of preset categories; based on the preset training benchmark value and the preset thrombus benchmark value, the rehabilitation training data and the thrombus index data are analyzed, the rehabilitation training data is analyzed, and then accurate rehabilitation treatment is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of rehabilitation training, in particular to a rehabilitation foot pedal structure, a rehabilitation training data processing method and a rehabilitation system. BACKGROUND

[0002] Venous thromboembolism (VTE) refers to the abnormal coagulation of blood in the deep veins of the patient, which partially or completely blocks the lumen and affects the normal blood circulation of the body. Postoperative period is the peak of VTE, and prevention of thrombosis is of great significance. There are generally three ways of thrombus prevention in clinic, drug prevention, physical prevention and rehabilitation exercise.

[0003] In related technologies, postoperative barefoot exercise is mainly used for rehabilitation exercise, and barefoot pedal exercise is performed by using a rehabilitation pedal auxiliary device to achieve the purpose of rehabilitation training. The rehabilitation pedal auxiliary device is a pure mechanical structure device.

[0004] However, the rehabilitation pedal auxiliary device in the related art cannot record and analyze rehabilitation training data, which is not convenient for precise rehabilitation treatment. SUMMARY

[0005] The present application aims to solve the above technical problems in the related art by providing a rehabilitation foot pedal structure, a rehabilitation training data processing method and a rehabilitation system.

[0006] To achieve the above-mentioned purposes, the technical solutions adopted by the embodiments of the present application are as follows:

[0007] In a first aspect, the embodiments of the present application provide a rehabilitation foot pedal structure, comprising: a pedal, a base, a probe, a variable resistance unit, a current sensor, an analog-to-digital conversion module, a power module and a communication module.

[0008] One end of the probe is fixedly arranged at a preset position on the pedal, and the base has a variable resistance unit in a target area corresponding to the preset position. The other end of the probe is in contact with the contact surface of the variable resistance unit, so that the other end of the probe slides along the vertical direction on the contact surface when the pedal is stepped on.

[0009] The base further comprises the analog-to-digital conversion module, the power module, the communication module and the current sensor. One end of the probe is connected to the power module, and the power module is further connected to one end of the magnetic surface of the variable resistance unit through the current sensor. The other end of the magnetic surface is connected to the contact surface. The current sensor is connected to the analog-to-digital conversion module, so that the current sensor detects an analog electric signal, and the analog-to-digital conversion module converts the analog electric signal to obtain rehabilitation training data.

[0010] The analog-digital conversion module is further connected with the communication module to send the rehabilitation training data.

[0011] Optionally, the contact surface of the variable resistance unit is provided with a plurality of conductive leaves arranged along the vertical direction; the magnetic surface of the variable resistance unit is provided with a group of electromagnetic coils connected along the vertical direction, one end of the group of electromagnetic coils being connected with one end of the conductive leaves, and the other end of the electromagnetic coils being connected with the power module through current sensors respectively.

[0012] Optionally, the front surface of the conductive leaf is insulated, and the back surface is conductive; the other end of the probe is provided with a barb probe head, and the probe head has magnetism.

[0013] In a second aspect, the embodiments of the present application further provide a rehabilitation training data processing method applied to an electronic device in communication connection with the rehabilitation pedal structure in any of the first aspect, and the method comprises:

[0014] Receiving rehabilitation training data of a target rehabilitation object sent by the rehabilitation pedal structure, the rehabilitation training data comprising: pedaling information of the target rehabilitation object in rehabilitation training;

[0015] Obtaining thrombus index data of the target rehabilitation object;

[0016] Analyzing according to the rehabilitation training data, a preset training benchmark value, the thrombus index data and a preset thrombus benchmark value to obtain an analysis result.

[0017] Optionally, before the analyzing according to the rehabilitation training data, the preset training benchmark value, the thrombus index data and the preset thrombus benchmark value to obtain an analysis result, the method comprises:

[0018] Obtaining attribute information and medical record information of the target rehabilitation object according to an electronic medical record of the target rehabilitation object;

[0019] Classifying the target rehabilitation object according to the attribute information and medical information of the target rehabilitation object to obtain a target category corresponding to the target rehabilitation object;

[0020] Determining a training benchmark value and a thrombus benchmark value of the target category from a plurality of preset category training benchmark values and thrombus benchmark values, as the preset training benchmark value and the preset thrombus benchmark value.

[0021] Optionally, the analyzing according to the rehabilitation training data, the preset training benchmark value, the thrombus index data and the preset thrombus benchmark value to obtain an analysis result comprises:

[0022] analyzing the rehabilitation training data and the preset training benchmark value to obtain a training data analysis result, the training data analysis result being used to indicate whether the rehabilitation training data is abnormal;

[0023] analyzing the thrombus index data and the preset thrombus benchmark value to obtain a thrombus analysis result, the thrombus analysis result being used to indicate whether the thrombus index data is abnormal;

[0024] if the rehabilitation training data is abnormal and / or the thrombus index data is abnormal, generating an analysis result used to indicate adjustment of a rehabilitation scheme.

[0025] Optionally, before the determining of the training benchmark value and the thrombus benchmark value of the target category from the training benchmark values and the thrombus benchmark values of the plurality of preset categories, the method further comprises:

[0026] determining a benchmark rehabilitation object from a plurality of preset rehabilitation objects according to basic information and medical information of the plurality of preset rehabilitation objects;

[0027] classifying the benchmark rehabilitation object according to the basic information and the medical information of the benchmark rehabilitation object to obtain a plurality of categories of benchmark rehabilitation objects;

[0028] statistically analyzing rehabilitation training data and thrombus index data of the plurality of categories of benchmark rehabilitation objects to obtain the training benchmark values and the thrombus benchmark values of the plurality of preset categories.

[0029] Optionally, the method further comprises:

[0030] statistically analyzing rehabilitation scheme information of the plurality of categories of benchmark rehabilitation objects to obtain benchmark rehabilitation schemes corresponding to the plurality of preset categories.

[0031] Optionally, the method further comprises:

[0032] if the analysis result indicates adjustment of the rehabilitation scheme, determining a benchmark rehabilitation scheme of the target category from the benchmark rehabilitation schemes corresponding to the plurality of preset categories;

[0033] adjusting the rehabilitation scheme of the target rehabilitation object according to the benchmark rehabilitation scheme of the target category.

[0034] In a third aspect, an embodiment of the present application further provides a rehabilitation system, comprising an electronic device and the rehabilitation pedal structure according to any one of the first aspect.

[0035] The beneficial effects of the present application are: the rehabilitation foot pedal structure, the rehabilitation training data processing method and the rehabilitation system provided by the embodiment of the present application, the rehabilitation foot pedal structure comprises: a pedal, a base, a probe, a variable resistance unit, a current sensor, an analog-digital conversion module, a power module and a communication module; one end of the probe is fixedly arranged at a preset position on the pedal, the base is provided with the variable resistance unit in a target area corresponding to the preset position, the other end of the probe is in contact with a contact surface of the variable resistance unit, so that the other end of the probe slides on the contact surface in a vertical direction when the pedal is stepped on; the base is further provided with the analog-digital conversion module, the power module, the communication module and the current sensor, one end of the probe is connected with the power module, the power module is further connected with one end of a magnetic surface of the variable resistance unit through the current sensor, the other end of the magnetic surface is connected with the contact surface, and the current sensor is further connected with the analog-digital conversion module, so that the current sensor detects an analog electric signal, and the analog-digital conversion module converts the analog electric signal into rehabilitation training data; the analog-digital conversion module is further connected with the communication module, so as to send the rehabilitation training data. When the pedal is stepped on, the other end of the probe slides on the contact surface of the variable resistance unit in the vertical direction, so that the contact surface of the variable resistance unit is conductive, and the contact surface, the probe, the power module, the current sensor and the magnetic surface form a circuit closed loop, the current sensor detects the analog electric signal, the analog-digital conversion module converts the analog electric signal into the rehabilitation training data, the recording of the rehabilitation training data is realized, the rehabilitation training data is sent through the communication module, the use and analysis of the rehabilitation training data are facilitated, and accurate rehabilitation treatment is realized. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0037] Figure 1 A schematic diagram of a rehabilitation foot pedal structure provided by the embodiment of the present application;

[0038] Figure 2 A schematic diagram of a rehabilitation foot pedal structure provided by the embodiment of the present application;

[0039] Figure 3 A structural schematic diagram of a conductive leaf provided by the embodiment of the present application;

[0040] Figure 4 A structural schematic diagram of a probe provided by the embodiment of the present application;

[0041] Figure 5A flowchart of a rehabilitation training data processing method provided by an embodiment of the present application is shown in FIG. 1.

[0042] Figure 6 A flowchart of a rehabilitation training data processing method provided by an embodiment of the present application is shown in FIG. 1.

[0043] Figure 7 A flowchart of a rehabilitation training data processing method provided by an embodiment of the present application is shown in FIG. 1.

[0044] Figure 8 A trend chart of a target rehabilitation object provided by an embodiment of the present application is shown in FIG. 1.

[0045] Figure 9 A flowchart of a rehabilitation training data processing method provided by an embodiment of the present application is shown in FIG. 1.

[0046] Figure 10 A flowchart of a rehabilitation training data processing method provided by an embodiment of the present application is shown in FIG. 1.

[0047] Figure 11 A structure diagram of a rehabilitation system provided by an embodiment of the present application is shown in FIG. 1.

[0048] Figure 12 A structure diagram of a rehabilitation training data processing device provided by an embodiment of the present application is shown in FIG. 1.

[0049] Figure 13 A structure diagram of an electronic device provided by an embodiment of the present application is shown in FIG. 1. DETAILED DESCRIPTION

[0050] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments of the present application.

[0051] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative labor are within the scope of protection of the present application.

[0052] In the description of the present application, it should be noted that if the terms "upper", "lower", etc. indicate the orientation or positional relationship shown in the drawings, or the orientation or positional relationship commonly used when the product of the application is used, only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, therefore it cannot be understood as a limitation on the present application.

[0053] In addition, the terms "first", "second", etc. in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily describe a particular order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0054] It should be noted that the features in the embodiments of the present application can be combined with each other without conflict.

[0055] Venous thromboembolism (VTE) refers to the abnormal coagulation of blood in the deep veins of the patient, which partially or completely blocks the lumen and affects the normal blood circulation of the body, which is prone to occur in the lower limbs, including deep vein thrombosis (DVT) and pulmonary thromboembolism (PTE), 50%-80% of patients lack characteristic signs, 34%-58% of patients are prone to fatal pulmonary embolism, which is the third most common cardiovascular disease after myocardial infarction and stroke. Its incidence in orthopedic patients is higher, and the probability of this complication after orthopedic surgery is as high as 25.6%-58.1%, especially hip fracture patients are high-risk groups for VTE, and the peak period of VTE occurrence is 1-3 days after surgery. Therefore, effective prevention of thrombosis is of great significance.

[0056] In the existing research, there are generally three ways of thrombus prevention in clinic, drug prevention, physical prevention and rehabilitation exercise. Drug prevention generally takes oral administration of new anticoagulant drugs or subcutaneous injection of low molecular weight heparin calcium and other drugs to prevent thrombosis, but there is a risk of increasing postoperative bleeding. Physical prevention includes promoting blood return of lower limbs by wearing elastic socks, avoiding blood stasis by massage and physiotherapy, etc., but there are problems such as poor patient compliance, more contraindications, insufficient facilities, etc. Rehabilitation exercise mainly includes postoperative barefoot exercise, which is simple and economical, and is the most widely used rehabilitation nursing measure in clinic. The rehabilitation pedal auxiliary device is used for barefoot pedal exercise to achieve the purpose of rehabilitation training. The rehabilitation pedal auxiliary device is a pure mechanical structure device. However, in the related art, the rehabilitation pedal auxiliary device cannot record and analyze rehabilitation training data, which is not convenient for precise rehabilitation treatment.

[0057] In the related art, rehabilitation exercise mainly includes postoperative barefoot exercise, and a rehabilitation pedal auxiliary device is used for barefoot pedal exercise to achieve the purpose of rehabilitation training. The rehabilitation pedal auxiliary device is a pure mechanical structure device. However, in the related art, the rehabilitation pedal auxiliary device cannot record and analyze rehabilitation training data, which is not convenient for precise rehabilitation treatment.

[0058] The embodiment of the present application provides a rehabilitation foot pedal structure. When the pedal is stepped on, the other end of the probe slides on the contact surface of the variable resistance unit in the vertical direction, so that the contact surface of the variable resistance unit conducts electricity. The contact surface, the probe, the power supply module, the current sensor and the magnetic surface form a circuit closed loop. The current sensor detects the analog electric signal, and the analog-to-digital conversion module performs analog-to-digital conversion on the analog electric signal to obtain rehabilitation training data. The rehabilitation training data is recorded, and the rehabilitation training data is sent through the communication module, which is convenient for use and analysis of the rehabilitation training data, and is convenient for precise rehabilitation treatment.

[0059] Figure 1 A schematic diagram of a rehabilitation foot pedal structure provided by the embodiment of the present application is shown in FIG. 1. The rehabilitation foot pedal structure comprises a pedal 10, a base 11, a probe 12, a variable resistance unit 13, an analog-to-digital conversion module 14, a power supply module 15, a communication module 16 and a current sensor 17. Figure 1

[0060] One end of the probe 12 is fixedly arranged at a preset position on the pedal 10, and the base 11 has the variable resistance unit 13 in the target area corresponding to the preset position. The other end of the probe 12 is in contact with the contact surface of the variable resistance unit 13, so that the other end of the probe 12 slides on the contact surface in the vertical direction when the pedal 10 is stepped on.

[0061] As shown in FIG. 2, the pedal 10 is stepped on, and the other end of the probe 12 slides on the contact surface of the variable resistance unit 13 in the vertical direction. Figure 1 ​As shown, the variable resistance unit 13, the analog-digital conversion module 14, the power module 15, and the communication module 16 can be arranged in the base 11, and the initial position of the pedal 10, the spring 18, and the probe 12 can be the position corresponding to the solid line in FIG. 1. Figure 1 As shown, the variable resistance unit 13, the analog-digital conversion module 14, the power module 15, and the communication module 16 can be arranged in the base 11, and the initial position of the pedal 10, the spring 18, and the probe 12 can be the position corresponding to the solid line in FIG. 1. Figure 1 As shown, the variable resistance unit 13, the analog-digital conversion module 14, the power module 15, and the communication module 16 can be arranged in the base 11, and the initial position of the pedal 10, the spring 18, and the probe 12 can be the position corresponding to the solid line in FIG. 1.

[0062] In addition, the base 11 further comprises the analog-digital conversion module 14, the power module 15, the communication module 16, and the current sensor 17. One end of the probe 12 is connected to the power module 15. The power module 15 is further connected to one end of the magnetic surface of the variable resistance unit 13 through the current sensor 17. The current sensor 17 is further connected to the analog-digital conversion module 14, so that the current sensor 17 detects the analog electric signal, and the analog-digital conversion module 14 converts the analog electric signal to obtain the rehabilitation training data. The analog-digital conversion module 14 is further connected to the communication module 16, so as to send the rehabilitation training data.

[0063] In some embodiments, the current sensor 17 can send the sensed analog electric information to the analog-digital conversion module 14. The analog-digital conversion module 14 receives the analog electric information and converts the analog electric information into digital electric signals, which are the rehabilitation training data. In addition, the analog-digital conversion module 14 can further send the rehabilitation training data to the electronic device through the communication module 16. The electronic device can receive the rehabilitation training data and analyze the rehabilitation training data.

[0064] In the embodiment, the analog-digital conversion module 14 sends the rehabilitation training data in a preset data format through the communication module 16. The data format can include: the serial number of the current exercise unit, the digital current conversion (which can represent the stepping depth), and the stepping time. As shown in FIG. 2, the base 11 further comprises a switch 19. When the machine is turned on and the non-stepping time is greater than or equal to a preset time, a new exercise unit serial number is generated when a data packet is generated, so as to distinguish the data from the previous exercise unit serial number. Figure 1 As shown, the base 11 further comprises a switch 19. When the machine is turned on and the non-stepping time is greater than or equal to a preset time, a new exercise unit serial number is generated when a data packet is generated, so as to distinguish the data from the previous exercise unit serial number.

[0065] In summary, the embodiment of the present application provides a rehabilitation foot pedal structure, which comprises a pedal, a base, a probe, a variable resistance unit, a current sensor, an analog-digital conversion module, a power module and a communication module; one end of the probe is fixedly arranged at a preset position on the pedal, the base is provided with the variable resistance unit at a preset position corresponding to a target area, the other end of the probe is in contact with a contact surface of the variable resistance unit, so that the other end of the probe slides along the vertical direction on the contact surface when the pedal is stepped on; the base is further provided with the analog-digital conversion module, the power module, the communication module and the current sensor; one end of the probe is connected with the power module, the power module is further connected with one end of a magnetic surface of the variable resistance unit through the current sensor, the current sensor is further connected with the analog-digital conversion module, so that the current sensor detects an analog electric signal, and the analog-digital conversion module converts the analog electric signal into rehabilitation training data; the analog-digital conversion module is further connected with the communication module to send the rehabilitation training data. When the pedal is stepped on, the other end of the probe slides along the vertical direction on the contact surface of the variable resistance unit, so that the contact surface of the variable resistance unit is conductive, and the contact surface, the probe, the power module, the current sensor and the magnetic surface form a circuit closed loop; the current sensor detects the analog electric signal, and the analog-digital conversion module converts the analog electric signal detected by the current sensor into the rehabilitation training data, so that the rehabilitation training data is recorded; the rehabilitation training data is further sent through the communication module, so that the rehabilitation training data is utilized and analyzed, and precise rehabilitation treatment is realized.

[0066] Optionally, Figure 2 A schematic view of a rehabilitation foot pedal structure provided by the embodiment of the present application is shown in FIG. 1. Figure 2 As shown in FIG. 2, the contact surface of the variable resistance unit 13 is provided with a plurality of conductive leaves 131 arranged along the vertical direction; the magnetic surface of the variable resistance unit 13 is provided with a group of electromagnetic coils 132 connected along the vertical direction, one end of the group of electromagnetic coils 132 is connected with one end of the conductive leaf 131, and the other end of the electromagnetic coil 132 is connected with the power module 15 through the current sensor 17.

[0067] Optionally, the front surface of the conductive leaf is insulated, and the back surface is conductive; the other end of the probe is provided with a barb probe, and the probe has magnetism.

[0068] Figure 3 A structural schematic view of a conductive leaf provided by the embodiment of the present application is shown in FIG. 3. Figure 3 As shown in FIG. 4, the conductive leaf 131 comprises a front surface and a back surface, the conductive leaf 131 has resistance, is designed to be single-sided conductive, the front surface is insulated, and the back surface is conductive, so that the conductive leaf 131 is conductive only when the probe 12 on the pedal 10 is retracted.

[0069] It is worth noting that when the target rehabilitation subject performs the stepping action, the pedal 10 moves from the solid line position to the dotted line position. When the foot is stepping on the pedal 10, the probe 12 slides on the front of the conductive leaf. Since the front is insulated, the conductive leaf 131 is not conductive. When the foot is retracted, the probe 12 on the pedal 10 retracts and touches the back of the conductive leaf 131, causing the conductive leaf to conduct electricity. The conductive leaf 131, probe 12, power module 15, current sensor 17, and electromagnetic coil 132 form a closed circuit loop. The current sensor 17 captures the instantaneous current, i.e., simulates an electrical signal. When the contact surface conducts electricity, the electromagnetic surface generates a magnetic field, which bounces the probe 12 away from the contact surface, and it no longer conducts electricity. The pedal 10 returns to its initial position.

[0070] Because of the different pedal depths, the probe 12 on the pedal 10 contacts different conductive leaves 131 when it retracts, thus forming a variable resistance circuit and generating different current intensities. The deeper the pedal 10 is pressed, the smaller the variable resistance formed by the probe 12 and the conductive leaf 131, and the larger the current, and vice versa. That is, the pedal depth can be determined based on the current intensity.

[0071] Optional, Figure 4 This is a schematic diagram of the structure of a probe provided in an embodiment of this application, as shown below. Figure 4 As shown, the other end of probe 12 has a barbed probe.

[0072] The probe of the barbed probe 12 is magnetic and repulses the magnetic field generated by the electromagnetic coil 132. Therefore, when conducting electricity, the electromagnetic coil 132 will work and generate a magnetic field. Since the magnetic fields of the electromagnetic coil 132 and the probe 12 repel each other, the probe 12 will be ejected from the conductive leaf 131 and will no longer conduct electricity. The pedal 10 will return to its initial position.

[0073] The rehabilitation training data processing method provided in this application embodiment can be applied to electronic devices, which can be terminal devices or servers. The terminal devices can be any of the following: desktop computers, laptops, tablets, smartphones, etc.

[0074] The following explains a rehabilitation training data processing method provided in the embodiments of this application.

[0075] Figure 5 This is a flowchart illustrating a rehabilitation training data processing method provided in an embodiment of this application, as shown below. Figure 5 As shown, the method may include:

[0076] S101: Receive rehabilitation training data of the target rehabilitation subject sent by the rehabilitation foot pedal structure.

[0077] The rehabilitation training data may include information on the trampling of the target rehabilitation subject during rehabilitation training.

[0078] In some embodiments, the rehabilitation footboard structure sends the rehabilitation training data of the target rehabilitation object to the electronic device through the communication module therein, and the electronic device can receive the rehabilitation training data of the target rehabilitation object.

[0079] It should be noted that the target rehabilitation object performs rehabilitation exercise on the rehabilitation footboard structure, and the rehabilitation exercise is a rehabilitation exercise for preventing thrombosis. The rehabilitation training data can include: a current exercise unit serial number, a current current conversion number, and a stepping time. The current current conversion number can represent the stepping depth.

[0080] S102, obtain the thrombus index data of the target rehabilitation object.

[0081] In the embodiments of the present application, the electronic device can search for the electronic medical record of the target rehabilitation object from the electronic medical record system, and obtain the thrombus index data of the target rehabilitation object according to the electronic medical record of the target rehabilitation object.

[0082] In addition, the data source of the thrombus index data can be a test record, and the specific data involved in the thrombus index data can refer to Table 1 below.

[0083] Table 1

[0084]

[0085] S103, analyze according to the rehabilitation training data, the preset training benchmark value, the thrombus index data and the preset thrombus benchmark value to obtain an analysis result.

[0086] The analysis result can indicate the prognosis trend of the target rehabilitation object, and can also indicate whether to adjust the rehabilitation scheme.

[0087] In some embodiments, the analysis result is obtained by analyzing the rehabilitation training data of the target rehabilitation object in at least one time period after the operation, the thrombus index data, and the preset training benchmark value and the preset thrombus benchmark value of the at least one time period.

[0088] In summary, the embodiments of the present application provide a rehabilitation training data processing method, which includes: receiving the rehabilitation training data of the target rehabilitation object sent by the rehabilitation footboard structure, the rehabilitation training data including: stepping information of the target rehabilitation object in the rehabilitation training; obtaining the thrombus index data of the target rehabilitation object; and analyzing according to the rehabilitation training data, the preset training benchmark value, the thrombus index data and the preset thrombus benchmark value to obtain an analysis result. The recorded rehabilitation training data is obtained, and the analysis result is obtained by analyzing the rehabilitation training data, the thrombus index data and the corresponding benchmark value, which improves the accuracy of the analysis result, provides a reference basis for subsequent rehabilitation training, and facilitates precise rehabilitation treatment.

[0089] In the embodiment of the present application, the electronic device obtains the medical order data of the target rehabilitation object according to the electronic medical record of the target rehabilitation object, and then compares the medical order data of the target rehabilitation object with the rehabilitation training data to determine whether the rehabilitation training data of the target rehabilitation object meets the standard. If not, the prompt information that the rehabilitation training data does not meet the standard is generated, and the prompt information that the rehabilitation training data does not meet the standard is sent to the terminal device corresponding to the medical staff, so as to prompt the medical staff to intervene.

[0090] In some embodiments, the medical order data of the target rehabilitation object can refer to Table 2 described below.

[0091] Table 2

[0092]

[0093]

[0094] In actual application, the rehabilitation training data sent by the rehabilitation foot pedal structure can refer to Table 3 described below. By counting each movement unit in Table 3, the statistical rehabilitation training data can be obtained, which can refer to Table 4. Table 3 and Table 4 together constitute the rehabilitation training table of the target rehabilitation object. The medical order data of the target rehabilitation object and the rehabilitation training table of the target rehabilitation object can be compared to determine whether the rehabilitation training of the target rehabilitation object meets the standard.

[0095] Table 3 is as follows:

[0096] Table 3

[0097]

[0098] Table 4 is as follows:

[0099] Table 4

[0100]

[0101]

[0102] For example, the medical order item data of Table 2 of the target rehabilitation object A is that the target rehabilitation object A should perform foot pedal rehabilitation training once in each of the morning, afternoon and evening periods every day, and should at least step 100 times in each period. The medical order plan start date is January 4, 2023; the medical order end date is January 7, 2023; and the medical order executor is Li Si. The stepping times of patient A in a certain period in Table 4 can be 80 times on January 5, 2023. It is determined that the rehabilitation training data of the target rehabilitation object does not meet the standard, and the prompt information that the rehabilitation training data does not meet the standard is sent to the terminal device corresponding to the medical staff.

[0103] Optionally, Figure 6 A flowchart of a rehabilitation training data processing method provided by an embodiment of the present application is shown in FIG. 2. As shown in FIG. 2, before the process of analyzing the rehabilitation training data, the preset training benchmark value, the thrombus index data and the preset thrombus benchmark value to obtain an analysis result in S103, the method can further include: Figure 6

[0104] S201, obtaining attribute information and medical record information of the target rehabilitation object according to the electronic medical record of the target rehabilitation object.

[0105] The attribute information of the target rehabilitation object can include at least two of the following: name, identity card type, identity card number, medical insurance card number, home address, contact information, gender, age, ABO blood type code, Rh blood type, disease history, operation history, marriage and childbirth history of the target rehabilitation object. For example, refer to Table 5 below.

[0106] Table 5

[0107]

[0108]

[0109] In addition, the medical record information can include: admission record, inpatient course record, general treatment record-treatment record subset, general treatment record-surgery record subset, general treatment record-preoperative anesthesia visit record subset, general treatment record-anesthesia record subset, and discharge summary. For example, refer to Table 6 below.

[0110] Table 6

[0111]

[0112]

[0113]

[0114] S202, classifying the target rehabilitation object according to the attribute information and medical information of the target rehabilitation object to obtain a target category corresponding to the target rehabilitation object.

[0115] In some embodiments, a first classification rule can be used to classify the target rehabilitation object according to the attribute information and medical information of the target rehabilitation object to obtain a target category corresponding to the target rehabilitation object. The first classification rule can include rules corresponding to multiple dimensions such as basic information, health information, diagnosis information-drug, diagnosis information-surgery, diagnosis information-anesthesia, diagnosis information-blood transfusion, and discharge summary. Grouping categories of the same dimension or different dimensions can be selected in combination, and the target category has a corresponding identifier.​

[0116] The first classification rule can refer to Table 7.

[0117] Table 7

[0118]

[0119]

[0120]

[0121] S203, from the plurality of preset categories of training benchmark values and thrombus benchmark values, determine the target category of training benchmark values and thrombus benchmark values, for the preset training benchmark values and the preset thrombus benchmark values.

[0122] In some embodiments, from the plurality of preset categories, find a target preset category matching the target category, and take the training benchmark values and thrombus benchmark values corresponding to the target preset category as the preset training benchmark values and the preset thrombus benchmark values.

[0123] Optionally, Figure 7 A flowchart of a rehabilitation training data processing method provided by an embodiment of the present application is shown in FIG. 3. Figure 7 As shown in FIG. 3, the process of analyzing the rehabilitation training data, the preset training benchmark values, the thrombus index data, and the preset thrombus benchmark values in S103 to obtain the analysis result can include:

[0124] S301, analyze the rehabilitation training data and the preset training benchmark values to obtain a training data analysis result.

[0125] The training data analysis result is used to indicate whether the rehabilitation training data is abnormal.

[0126] In some embodiments, the rehabilitation training data and the preset training benchmark values are analyzed to obtain a training data error, and it is determined whether the training data error is within a first error range. If yes, the training data analysis result is used to indicate that the rehabilitation training data is normal; if no, the training data analysis result is used to indicate that the rehabilitation training data is abnormal.

[0127] It should be noted that the electronic device can determine and display a dynamic trend chart of the rehabilitation training data and the preset training benchmark values according to the rehabilitation training data and the preset training benchmark values.

[0128] S302, analyze the thrombus index data and the preset thrombus benchmark values to obtain a thrombus analysis result, and the thrombus analysis result is used to indicate whether the thrombus index data is abnormal.

[0129] In some embodiments, the thrombus index data and the preset thrombus benchmark value are analyzed to obtain a thrombus data error, and it is determined whether the thrombus data error is within a second error range. If yes, the thrombus analysis result indicates that the thrombus index data is normal; if no, the thrombus analysis result indicates that the thrombus index data is abnormal.

[0130] Of course, the electronic device can also determine and display a dynamic trend chart of the thrombus index data and the preset thrombus benchmark value according to the thrombus index data and the preset thrombus benchmark value.

[0131] S303, if the rehabilitation training data is abnormal and / or the thrombus index data is abnormal, an analysis result for indicating adjustment of the rehabilitation scheme is generated.

[0132] The adjustment of the rehabilitation scheme refers to adjustment of the rehabilitation scheme of the target rehabilitation object.

[0133] In the embodiments of the present application, if the rehabilitation training data is abnormal and / or the thrombus index data is abnormal, an analysis result for indicating adjustment of the rehabilitation scheme is generated, and prompt information for adjusting the rehabilitation scheme is generated according to the analysis result. The electronic device can send the prompt information for adjusting the rehabilitation scheme to the terminal device corresponding to the responsible doctor, so as to enable the responsible doctor to adjust the rehabilitation scheme of the target rehabilitation object.

[0134] For example, according to the first classification rule, the target rehabilitation object is classified into a 50-60 year old, female, B type blood, BMI index 18.5-24, systolic pressure > 139 mmHg, history of hyperlipidemia, hip joint surgery, etc. group, i.e. the target category, and the training benchmark value corresponding to the target category is extracted from the database. Taking the average stepping depth in the rehabilitation training data as an example for dynamic comparison, the average stepping depth of the training benchmark value is: the average stepping depth on the first day after the operation is 10, the average stepping depth on the second day after the operation is 11, and the average stepping depth on the third day after the operation is 12. The average stepping depth of the target rehabilitation object is: the average stepping depth on the first day after the operation is 9.8, the average stepping depth on the second day after the operation is 11.2, and the average stepping depth on the third day after the operation is 7. The responsible doctor will be prompted that the training data of patient A is abnormal on the third day.

[0135] Figure 8 The trend chart of the target rehabilitation object provided in the embodiments of the present application can be obtained by statistical analysis based on the above data Figure 8 , as shown in Figure 8 , the abscissa of the trend chart is the postoperative time, and the ordinate is the average stepping depth, which represents the trend comparison between the stepping depth of the target rehabilitation object and the benchmark stepping depth.

[0136] Optionally, Figure 9A flowchart of a rehabilitation training data processing method provided in an embodiment of the present application is shown in FIG. 3. As shown in FIG. 3, in S203, the training benchmark value and the thrombus benchmark value of the target category are determined from the training benchmark values and the thrombus benchmark values of the plurality of preset categories. Before the process of determining the preset training benchmark values and the preset thrombus benchmark values, the method further includes: Figure 9

[0137] S401, determining a benchmark rehabilitation object from a plurality of preset rehabilitation objects according to basic information and medical information of the plurality of preset rehabilitation objects.

[0138] In some embodiments, the electronic device determines the benchmark rehabilitation object from the plurality of preset rehabilitation objects according to the basic information and the medical information of the plurality of preset rehabilitation objects by using extraction conditions. The extraction conditions can include the disease outcome, the disease diagnosis code, the operation and operation code, and the like.

[0139] In the embodiment of the present application, the rehabilitation archives of the benchmark rehabilitation objects can be extracted and stored. After the plurality of benchmark rehabilitation objects are obtained in S402, the plurality of benchmark rehabilitation objects can be classified and counted in S403.

[0140] It should be noted that the rehabilitation archives of the benchmark rehabilitation objects can be extracted every preset time interval, i.e., the benchmark case library is updated, so as to realize the periodic updating of the training benchmark values and the thrombus benchmark values of the plurality of preset categories.

[0141] S402, classifying the benchmark rehabilitation objects according to the basic information and the medical information of the benchmark rehabilitation objects to obtain a plurality of benchmark rehabilitation objects of categories.

[0142] The first classification rule is used to classify the benchmark rehabilitation objects according to the basic information and the medical information of the benchmark rehabilitation objects to obtain the plurality of benchmark rehabilitation objects of categories. Examples can include the age, the gender, the ABO blood type, and the like.

[0143] S403, counting the rehabilitation training data and the thrombus index data of the plurality of benchmark rehabilitation objects of categories to obtain the training benchmark values and the thrombus benchmark values of the plurality of preset categories.

[0144] In some embodiments, the mean value of the rehabilitation training data of each category of benchmark rehabilitation objects is counted to obtain the training benchmark value of each preset category. The training benchmark value of each preset category includes the average stepping speed, the average stepping depth of the left / right foot, and the like, for example, the average stepping speed of all benchmark cases on the third day after the operation.

[0145] ​In addition, the mean value of the thrombus index data of each type of benchmark rehabilitation object is counted to obtain the thrombus benchmark value of each preset category. For example, the thrombus benchmark value of each preset category includes the mean value of the blood coagulation function FIB of the benchmark rehabilitation object on the third day after the operation, the common result of the ultrasonic examination result of the benchmark rehabilitation object on the first day after the operation, and the like.

[0146] Optionally, the method can further include:

[0147] The rehabilitation scheme information of the multiple types of benchmark rehabilitation objects is counted to obtain the benchmark rehabilitation scheme corresponding to the multiple preset categories.

[0148] In the embodiment of the application, the training benchmark value, the thrombus benchmark value, and the benchmark rehabilitation scheme corresponding to the multiple preset categories can refer to Table 8. The multiple preset categories can be recorded multiple times in different time periods, such as the first day after the operation and the second day after the operation.

[0149] Table 8

[0150]

[0151]

[0152] Optionally, Figure 10 A flowchart of a rehabilitation training data processing method provided in the embodiment of the application is shown in FIG. 5. Figure 10 The method further includes:

[0153] S501, if the analysis result indicates that the rehabilitation scheme needs to be adjusted, the benchmark rehabilitation scheme of the target category is determined from the benchmark rehabilitation schemes corresponding to the multiple preset categories.

[0154] S502, the rehabilitation scheme of the target rehabilitation object is adjusted according to the benchmark rehabilitation scheme of the target category.

[0155] It should be noted that the benchmark rehabilitation scheme of the target category can be displayed on the terminal device corresponding to the responsible doctor, so that the responsible doctor knows the benchmark rehabilitation scheme of the target category and adjusts the rehabilitation scheme of the target rehabilitation object.

[0156] In the embodiment of the application, multi-dimensional scientific research analysis can also be performed. Based on the first classification rule, multi-dimensional combination analysis is performed, and the relationship between the rehabilitation training data and the thrombus index data is compared under any single / combined dimension, for example, the quantitative relationship between the stepping speed of the rehabilitation object and the venous blood flow rate under the same dimension, to explore the effect of the quantitative data of the anti-thrombus rehabilitation training on the improvement of thrombus of different population categories.

[0157] The embodiment of the application also provides a rehabilitation system. Optionally, Figure 11 A structural diagram of a rehabilitation system provided in the embodiment of the application is shown in FIG. 6. Figure 11As shown, the system comprises an electronic device 21 and the above-mentioned Figure 1 or Figure 2 rehabilitation foot pedal structure 22, wherein the electronic device 21 is in communication connection with the rehabilitation foot pedal structure 22, and the electronic device 21 is used to execute the above-mentioned rehabilitation training data processing method.

[0158] The following describes a rehabilitation training data processing apparatus, an electronic device, a storage medium and the like for executing the rehabilitation training data processing method provided in the present application. For the specific implementation process and technical effects, reference can be made to the related content of the above-mentioned rehabilitation training data processing method, which will not be described here again.

[0159] Figure 12 A structural schematic diagram of a rehabilitation training data processing apparatus provided in an embodiment of the present application is shown in Figure 12 As shown, the apparatus comprises:

[0160] A receiving module 1201 is configured to receive rehabilitation training data of a target rehabilitation object sent by the rehabilitation foot pedal structure, wherein the rehabilitation training data comprises pedaling information of the target rehabilitation object in rehabilitation training.

[0161] A first obtaining module 1202 is configured to obtain thrombus index data of the target rehabilitation object.

[0162] An analyzing module 1203 is configured to analyze according to the rehabilitation training data, a preset training benchmark value, the thrombus index data and a preset thrombus benchmark value, to obtain an analysis result.

[0163] Optionally, the apparatus comprises:

[0164] A second obtaining module is configured to obtain attribute information and medical record information of the target rehabilitation object according to an electronic medical record of the target rehabilitation object.

[0165] A first classifying module is configured to classify the target rehabilitation object according to the attribute information and the medical information of the target rehabilitation object, to obtain a target category corresponding to the target rehabilitation object.

[0166] A first determining module is configured to determine a training benchmark value and a thrombus benchmark value of the target category from training benchmark values and thrombus benchmark values of a plurality of preset categories, as the preset training benchmark value and the preset thrombus benchmark value.

[0167] Optionally, the analysis module 1203 is specifically configured to analyze the rehabilitation training data and the preset training benchmark value to obtain a training data analysis result, the training data analysis result being used to indicate whether the rehabilitation training data is abnormal; analyze the thrombus index data and the preset thrombus benchmark value to obtain a thrombus analysis result, the thrombus analysis result being used to indicate whether the thrombus index data is abnormal; and if the rehabilitation training data is abnormal and / or the thrombus index data is abnormal, generate an analysis result used to indicate adjustment of a rehabilitation scheme.

[0168] Optionally, the device further comprises:

[0169] A second determination module is configured to determine a benchmark rehabilitation object from a plurality of preset rehabilitation objects according to basic information and medical information of the plurality of preset rehabilitation objects.

[0170] A second classification module is configured to classify the benchmark rehabilitation object according to the basic information and the medical information of the benchmark rehabilitation object to obtain a plurality of benchmark rehabilitation objects of different categories.

[0171] A first statistical module is configured to statistically analyze rehabilitation training data and thrombus index data of the plurality of benchmark rehabilitation objects of different categories to obtain training benchmark values and thrombus benchmark values of the plurality of preset categories.

[0172] Optionally, the device further comprises:

[0173] A second statistical module is configured to statistically analyze rehabilitation scheme information of the plurality of benchmark rehabilitation objects of different categories to obtain benchmark rehabilitation schemes corresponding to the plurality of preset categories.

[0174] Optionally, the device further comprises:

[0175] A third determination module is configured to determine a benchmark rehabilitation scheme of the target category according to the benchmark rehabilitation schemes corresponding to the plurality of preset categories if the analysis result indicates adjustment of a rehabilitation scheme.

[0176] An adjustment module is configured to adjust a rehabilitation scheme of the target rehabilitation object according to the benchmark rehabilitation scheme of the target category.

[0177] The device is used to execute the method provided by the foregoing embodiments, and has similar implementation principles and technical effects, which will not be described herein again.

[0178] The above modules can be one or more integrated circuits configured to implement the above methods, for example, one or more application specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs), etc. For another example, when a certain module above is implemented in the form of a processing element scheduling code, the processing element can be a general purpose processor, such as a central processing unit (CPU) or other processor that can invoke code. For another example, the modules can be integrated together to implement in the form of a system on a chip (SOC).

[0179] Figure 13 A structural schematic diagram of an electronic device provided by an embodiment of the present application is shown in FIG. 1. As shown in FIG. 1, the electronic device includes a processor 1301 and a memory 1302. Figure 13

[0180] The memory 1302 is configured to store a program, and the processor 1301 invokes the program stored in the memory 1302 to execute the above method embodiments. The specific implementation manners and technical effects are similar, and will not be described here again.

[0181] Optionally, the present application further provides a program product, for example, a computer readable storage medium, including a program, which is used for executing the above method embodiments when executed by a processor.

[0182] In several embodiments provided by the present application, it should be understood that the disclosed apparatus and method can be implemented in other manners. For example, the described apparatus embodiments are merely schematic, and the division of units is merely a logical function division, and there can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0183] ​The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0184] In addition, each functional unit in each embodiment of the application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of hardware plus software functional unit.

[0185] The integrated unit realized in the form of software functional unit can be stored in a computer readable storage medium. The software functional unit stored in a storage medium includes a plurality of instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) execute part of the steps of the method described in each embodiment of the application. And the foregoing storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, for short: ROM), random access memory (English: Random Access Memory, for short: RAM), magnetic disk or optical disk and various program code storage media.

[0186] The above is only the preferred embodiment of the application and is not used to limit the application. For those skilled in the art, the application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the application shall be included in the protection scope of the application.

Claims

1. A rehabilitation foot pedal structure, characterized by, The application relates to a rehabilitation footboard structure, which comprises a footboard, a base, a probe, a variable resistance unit, a current sensor, an analog-digital conversion module, a power module and a communication module. One end of the probe is fixedly arranged at a preset position on the footboard, the base is provided with the variable resistance unit in a target area corresponding to the preset position, and the other end of the probe is in contact with a contact surface of the variable resistance unit, so that the other end of the probe slides on the contact surface in a vertical direction when the footboard is stepped on. The base is further provided with the analog-digital conversion module, the power module, the communication module and the current sensor, one end of the probe is connected with the power module, the power module is further connected with one end of a magnetic surface of the variable resistance unit through the current sensor, the other end of the magnetic surface is connected with the contact surface, the current sensor is further connected with the analog-digital conversion module, so that the current sensor detects an analog electric signal, the analog-digital conversion module converts the analog electric signal into rehabilitation training data, and the analog-digital conversion module is further connected with the communication module to send the rehabilitation training data. The contact surface of the variable resistance unit is provided with a plurality of conductive leaves arranged along the vertical direction, the front surface of the conductive leaf is insulated, and the back surface of the conductive leaf is conductive, and the other end of the probe is provided with a barb probe. The magnetic surface of the variable resistance unit is provided with a group of electromagnetic coils connected along the vertical direction, one end of the group of electromagnetic coils is connected with one end of the conductive leaf, and the other end of the electromagnetic coil is connected with the power module through the current sensor. The probe has magnetism.

2. The rehabilitation footrest structure according to claim 1, wherein The application is applied to an electronic device in communication connection with the rehabilitation footboard structure in any one of claims 1-3, and the method comprises the following steps:

3. The rehabilitation footrest structure according to claim 2, wherein receiving rehabilitation training data of a target rehabilitation object sent by the rehabilitation footboard structure, wherein the rehabilitation training data comprises stepping information of the target rehabilitation object in rehabilitation training; 4. A rehabilitation training data processing method characterized by, obtaining thrombus index data of the target rehabilitation object; analyzing the rehabilitation training data, preset training benchmark values, the thrombus index data and preset thrombus benchmark values to obtain an analysis result. Before the step of analyzing the rehabilitation training data, the preset training benchmark values, the thrombus index data and the preset thrombus benchmark values to obtain an analysis result, the method comprises the following steps: obtaining attribute information and medical record information of the target rehabilitation object according to an electronic medical record of the target rehabilitation object; 5. The method of claim 4, wherein, classifying the target rehabilitation object according to the attribute information and the medical record information of the target rehabilitation object to obtain a target category corresponding to the target rehabilitation object; determining training benchmark values and thrombus benchmark values of the target category from training benchmark values and thrombus benchmark values of a plurality of preset categories, so as to be the preset training benchmark values and the preset thrombus benchmark values. The step of analyzing the rehabilitation training data, the preset training benchmark values, the thrombus index data and the preset thrombus benchmark values to obtain an analysis result comprises the following steps: ​ 6. The method of claim 4, wherein, ​ analyzing the rehabilitation training data and the preset training benchmark value to obtain a training data analysis result, the training data analysis result being used to indicate whether the rehabilitation training data is abnormal; analyzing the thrombus index data and the preset thrombus benchmark value to obtain a thrombus analysis result, the thrombus analysis result being used to indicate whether the thrombus index data is abnormal; if the rehabilitation training data is abnormal and / or the thrombus index data is abnormal, generating an analysis result used to indicate adjustment of a rehabilitation scheme.

7. The method of claim 5, wherein, Before the training benchmark value and the thrombus benchmark value of the preset categories are determined, the method further comprises: determining a benchmark rehabilitation object from a plurality of preset rehabilitation objects according to basic information and medical information of the plurality of preset rehabilitation objects; classifying the benchmark rehabilitation object according to the basic information and the medical information of the benchmark rehabilitation object to obtain a plurality of categories of benchmark rehabilitation objects; statistically analyzing rehabilitation training data and thrombus index data of the plurality of categories of benchmark rehabilitation objects to obtain the training benchmark value and the thrombus benchmark value of the plurality of preset categories.

8. The method of claim 7, wherein, The method further comprises: statistically analyzing rehabilitation scheme information of the plurality of categories of benchmark rehabilitation objects to obtain a benchmark rehabilitation scheme corresponding to the plurality of preset categories.

9. A rehabilitation system characterized by, The method further comprises: an electronic device and the rehabilitation foot pedal structure according to any one of claims 1-3, the electronic device being in communication connection with the rehabilitation foot pedal structure, and the electronic device being used to execute the method according to any one of claims 4-8.

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