Knee joint brace, detection system and detection method after knee joint surgery

Abstract

The application particularly relates to a knee brace, a detection system and a detection method for post-knee surgery. The knee brace comprises a first binding assembly, a second binding assembly and a detection assembly. The first binding assembly is provided with a first attaching plate. The second binding assembly is provided with a second attaching plate, and the second attaching plate is hinged to the first attaching plate. The detection assembly comprises a first detection piece and a second detection piece. The first detection piece is arranged at the hinge between the first attaching plate and the second attaching plate, and is attached to the two sides of the human knee joint. The first detection piece is used for detecting the muscle torque of the human knee joint when the human knee joint is flexed at a fixed angle. The second detection piece is used for detecting the included angle between the thigh and the lower leg. The detection system for post-knee surgery can effectively monitor the postoperative recovery of the patient by arranging the detection assembly to detect the muscle torque of the knee joint of the patient when the knee joint is flexed at a fixed angle, and the included angle between the thigh and the lower leg, so as to timely adjust the rehabilitation plan.

Description

Technical Field

[0001] This invention relates to the field of healthcare equipment technology, specifically to a knee joint brace, a post-operative knee joint testing system, and a testing method. Background Technology

[0002] Among people who exercise regularly, at least one sports injury occurs each year, with the majority affecting the knee joint. Knee surgery is one of the best ways to treat knee sports injuries. With the increasing prevalence of knee surgery, postoperative rehabilitation training is receiving more and more attention.

[0003] Knee surgery is mostly total joint replacement surgery, which can relieve pain and movement disorders caused by knee joint diseases. However, effective rehabilitation training is needed during the postoperative recovery period to help patients regain their original motor function as quickly as possible. Rehabilitation after knee injury is crucial. Through continuous and correct rehabilitation treatment, symptoms can be improved, disease progression can be slowed, and the condition can be controlled to a certain extent, effectively promoting rehabilitation outcomes. Traditional rehabilitation training methods mostly rely on physical therapy to help patients recover, but their effectiveness is not always satisfactory. If human-assisted therapy is used, a large number of rehabilitation professionals are needed, but there is a severe shortage of such professionals in China; the number of rehabilitation professionals in China is only 0.5% of that abroad.

[0004] Because rehabilitation after a knee injury requires rehabilitation training, and patients need to be tested after each course of treatment to adjust the next course of treatment based on the test results, many types of knee joint restraint braces are currently available on the market. However, most of them only have the functions of protection and fixation, which are limited and cannot assist in adjusting the patient's rehabilitation course. Summary of the Invention

[0005] The purpose of this invention is to at least address the problem that existing knee braces cannot assist in adjusting the patient's rehabilitation process. This purpose is achieved through the following technical solution:

[0006] A first aspect of the present invention provides a knee brace comprising:

[0007] A first binding assembly is used to bind and fix the human thigh, and a first attachment plate is provided on the first binding assembly.

[0008] The second binding assembly is used to bind and fix the lower leg of the human body. The second binding assembly is provided with a second attachment plate, which is hinged to the first attachment plate.

[0009] The detection component includes a first detection element and a second detection element. The first detection element is disposed at the hinge of the first attachment plate and the second attachment plate and is located on both sides of the human knee joint. The first detection element is used to detect the muscle torque of the human knee joint when it is flexed and extended at a fixed angle. The second detection element is used to detect the angle between the human thigh and the lower leg.

[0010] The postoperative knee joint monitoring system of this invention includes a first binding assembly, a second binding assembly, and a detection assembly. By setting a first binding assembly with a first fitting rod and a second binding assembly with a second attachment plate, and with the second attachment plate hinged to the first attachment plate, postoperative fixation and protection of the knee joint can be achieved. By setting a first detection element at the hinge point between the second and first attachment plates to detect the muscle torque of the patient's knee joint during flexion and extension at a fixed angle, and in conjunction with a second detection element capable of detecting the angle between the thigh and lower leg, the patient's postoperative recovery can be effectively monitored, allowing for timely adjustments to the rehabilitation plan. This addresses the problem that existing knee braces cannot effectively assist in adjusting the patient's rehabilitation process.

[0011] In addition, the postoperative detection system for knee joints according to the present invention may also have the following additional technical features:

[0012] In some embodiments of the present invention, the second detection element is configured as two inertial sensors, one of which is disposed on the first binding assembly and located in front of the human thigh, and the other of which is disposed on the second binding assembly and located in front of the human lower leg. The two inertial sensors cooperate to detect the angle between the human thigh and the lower leg.

[0013] In some embodiments of the present invention, the first detection element is a torque sensor, and the first attachment plate and the second attachment plate are hinged through the torque sensor.

[0014] In some embodiments of the present invention, the detection component further includes:

[0015] A processor, which is electrically connected to the first detection element and the second detection element, and is used to transmit the data detected by the first detection element and the second detection element to an external source;

[0016] A power supply, which is electrically connected to the processor;

[0017] A control switch is used to control the activation of the processor, the first detection element, and the second detection element.

[0018] In some embodiments of the present invention, the processor includes:

[0019] An information processing module is used to collect the data and process the collected data.

[0020] The transmission module is used to transmit the collected and processed data to an external source;

[0021] A charging module, which is used to charge the power supply.

[0022] A second aspect of the invention also provides a postoperative detection system for knee joint surgery, comprising:

[0023] The knee brace as described in this invention; and

[0024] First terminal and second terminal;

[0025] Both the first terminal and the second terminal can receive the detection data transmitted by the detection component, and the second terminal is used to send a rehabilitation plan to the first terminal.

[0026] The postoperative knee joint monitoring system of the present invention, by setting up a first terminal and a second terminal in conjunction with a knee joint brace, can realize timely monitoring of the knee joint rehabilitation status. Doctors can modify or improve the monitoring plan based on the monitoring results in a timely manner, and ultimately determine the patient's subsequent rehabilitation training content. This helps doctors understand the rehabilitation effect of the patient's knee joint, improves the patient's rehabilitation effect, and enables the patient to recover their original motor function as soon as possible.

[0027] In some embodiments of the present invention, it further includes:

[0028] A cloud detection server, which is communicatively connected to the first terminal and the second terminal.

[0029] In some embodiments of the present invention, the first terminal is communicatively connected to the detection component of the knee brace.

[0030] A third aspect of the invention also provides a method for detecting knee joint defects after surgery, implemented according to the knee joint postoperative detection system described in the invention, the method comprising:

[0031] Obtain basic patient information and establish a knee joint rehabilitation database;

[0032] Obtain the angle and muscle torque of the patient's knee joint during flexion and extension;

[0033] Based on the knee joint rehabilitation database, and considering that the angle and muscle torque do not meet the requirements for rehabilitation training, a corresponding rehabilitation plan is formulated.

[0034] Obtain the patient's actual recovery status, modify or improve the recovery plan, and send the recovery plan to the patient.

[0035] The postoperative knee joint detection method of this invention enables phased monitoring of knee joint rehabilitation, thereby ensuring continuous and correct rehabilitation treatment for patients. This improves symptoms, slows disease progression, enhances disease control, and promotes effective rehabilitation. The detection method of this invention, through the aforementioned postoperative knee joint detection system, improves detection efficiency, reduces the need for rehabilitation personnel, and ensures the correct implementation of rehabilitation training.

[0036] In some embodiments of the present invention, after obtaining the patient's basic information and establishing a knee joint rehabilitation database, the following steps are included:

[0037] Based on the knee joint rehabilitation database, an initial rehabilitation plan is developed and sent to the patient.

[0038] After completing rehabilitation training according to the aforementioned preliminary rehabilitation plan, the angle and muscle torque of the patient's knee joint during flexion and extension were measured. Attached Figure Description

[0039] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0040] Figure 1 This is a schematic diagram of the structure of the knee brace shown in the embodiment of the present invention;

[0041] Figure 2 This is a schematic diagram of the postoperative detection system for knee joint surgery as shown in an embodiment of the present invention;

[0042] Figure 3 This is a schematic flowchart of the postoperative detection method for the knee joint according to an embodiment of the present invention.

[0043] Figure 4 This is a partial flowchart illustrating the postoperative detection method for the knee joint according to an embodiment of the present invention.

[0044] The markings in the attached diagram are as follows:

[0045] 1. First binding strap; 2. First attachment plate; 3. Second binding strap; 4. Second attachment plate; 5. First inspection piece; 6. Second inspection piece. Detailed Implementation

[0046] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0047] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0048] Although terms such as first, second, third, etc., may be used in this document to describe multiple elements, components, regions, layers, and / or segments, these elements, components, regions, layers, and / or segments should not be limited by these terms. These terms may be used only to distinguish one element, component, region, layer, or segment from another. Unless the context clearly indicates otherwise, terms such as "first," "second," and other numerical terms used herein do not imply order or sequence. Therefore, the first element, component, region, layer, or segment discussed below may be referred to as the second element, component, region, layer, or segment without departing from the teachings of the exemplary embodiments.

[0049] For ease of description, spatial relative terms may be used in the text to describe the relationship of one element or feature relative to another element or feature, as shown in the figure. These relative terms include, for example, "inside," "outside," "middle," "outer," "below," "below," "above," "over," etc. Such spatial relative terms are intended to include different orientations of the device in use or operation, other than those depicted in the figure. For example, if the device in the figure is flipped, an element described as "below other elements or features" or "below other elements or features" would subsequently be oriented as "above other elements or features" or "above other elements or features." Therefore, the example term "below" can include both upper and lower orientations. The device may be otherwise oriented (rotated 90 degrees or in other directions), and the spatial relative descriptors used in the text will be interpreted accordingly.

[0050] like Figure 1 As shown, according to an embodiment of the present invention, a knee joint brace is proposed. In terms of overall design, the knee joint brace includes a first binding component, a second binding component, and a detection component.

[0051] The first binding assembly is used to bind and fix the human thigh, and a first attachment plate 2 is provided on the first binding assembly. The second binding assembly is used to bind and fix the human lower leg, and a second attachment plate 4 is provided on the second binding assembly, which is hinged to the first attachment plate 2.

[0052] The detection assembly includes a first detection element 5 and a second detection element 6. The first detection element 5 is located at the hinge between the first attachment plate 2 and the second attachment plate 4, and is attached to both sides of the human knee joint. The first detection element 5 is used to detect the muscle torque of the human knee joint when it is flexed and extended at a fixed angle. There are two second detection elements 6. One of the two second detection elements 6 is located on the first binding assembly and in front of the human thigh, and the other of the two second detection elements 6 is located on the second binding assembly and in front of the human lower leg. The second detection element 6 is used to detect the angle between the human thigh and lower leg.

[0053] The postoperative knee joint monitoring system of the present invention, by setting a first binding assembly with a first fitting rod and a second binding assembly with a second attachment plate 4, wherein the second attachment plate 4 is hinged to the first attachment plate 2, can achieve fixation and protection of the knee joint after surgery. By setting a first detection element 5 at the hinge of the second attachment plate 4 and the first attachment plate 2 to detect the muscle torque of the patient's knee joint during flexion and extension at a fixed angle, and in conjunction with a second detection element 6 that can detect the angle between the thigh and the lower leg, the system can effectively monitor the patient's postoperative recovery, thereby enabling timely adjustment of the rehabilitation plan and solving the problem that existing knee joint braces cannot play an auxiliary role in adjusting the patient's rehabilitation course.

[0054] like Figure 1 As shown, the knee brace includes a first binding assembly, a second binding assembly, and a detection assembly. The first binding assembly includes a first binding strap 1 and a first attachment plate 2. In this embodiment, there are two first binding straps 1, fixed at intervals to the first attachment plate 2. By providing two first binding straps 1, the fit between the first attachment plate 2 and the human thigh can be further ensured. Specifically, the first binding strap 1 is fixed to a first binding seat, and the first binding seat is fixed to the first attachment plate 2. The first binding seat helps to protect the fixation effect of the first binding strap 1. Simultaneously, there are two first attachment plates 2. When the first binding strap 1 is fixed to the human thigh, the two first attachment plates 2 are located on either side of the human thigh.

[0055] At this point, the second binding assembly includes a second binding strap 3 and a second attachment plate 4. Correspondingly, the second binding assembly can be configured in a manner similar to the first binding assembly to ensure the binding effect of the knee brace on the human thigh and lower leg. Simultaneously, protective pads are provided on both the first and second binding seats, which help improve the fixation effect of the first and second binding assemblies.

[0056] In the specific embodiments described above, the detection component includes a first detection element 5, a second detection element 6, a processor, a power supply, and a control switch. The first detection element 5 is used to detect the muscle torque of the patient's knee joint during flexion and extension at a fixed angle, while the second detection element 6 is used to detect the angle between the thigh and lower leg. This application obtains the patient's movement information during exercise by detecting muscle torque and the angle between the thigh and lower leg, thereby determining the patient's rehabilitation status and providing reference data for subsequent rehabilitation training.

[0057] Specifically, the first detection element 5 is a torque sensor, and the first attachment plate 2 and the second attachment plate 4 are hinged together by the torque sensor. Since the torque sensor has a power end and a load end, in this embodiment, the power end of the torque sensor is fixedly connected to one of the first attachment plate 2 or the second attachment plate 4, and correspondingly, the load end of the torque sensor is fixedly connected to one of the second attachment plate 4 or the first attachment plate 2. With this configuration, and in conjunction with the fixation of the first binding assembly and the second binding assembly, the muscle torque of the patient's knee joint during flexion and extension at a fixed angle can be effectively detected.

[0058] Existing muscle torque detection equipment is bulky and requires specialized technicians, increasing both the difficulty and cost of testing. This application addresses this by placing torque sensors at the hinge point between the first attachment plate 2 and the second attachment plate 4, located on both sides of the knee joint. This simplifies muscle torque detection, enabling real-time monitoring of the patient's muscle torque. Furthermore, the sensors serve as a connection between the first attachment plate 2 and the second attachment plate 4, facilitating fixation and protection of the knee joint by the knee brace, thereby ensuring its effectiveness.

[0059] At this point, the aforementioned second detection element 6 consists of two inertial sensors. For ease of description, one of the two inertial sensors is referred to as the first inertial sensor, and the other as the second inertial sensor. The first inertial sensor is mounted on the first binding strap 1 of the first binding assembly, and the second inertial sensor is mounted on the second binding strap 3 of the second binding assembly. In this embodiment, when the knee brace is fixed to the human body, the first binding assembly is fixed to the human thigh, and the second binding assembly is fixed to the human calf. At this time, the first inertial sensor is located in front of the human thigh, and the second inertial sensor is located in front of the human calf. This arrangement allows the first and second inertial sensors to cooperate with each other to detect the angle between the human thigh and the human calf. Since inertial sensor products are mature and can be purchased and used directly, and existing inertial sensors are small in size and light in weight, fixing them to the first binding strap 1 or the second binding strap 3 not only achieves the detection purpose but also reduces the impact on the weight of the knee brace, thereby ensuring the wearing effect of the knee brace.

[0060] It should be noted that the second detection component mentioned above can use other sensors as long as they can detect the angle between the human thigh and the human lower leg. However, since this knee brace is worn on the human leg, using an inertial sensor can ensure the weight of the knee brace and ensure wearing comfort, thus giving the knee brace better detection and wearing performance.

[0061] In addition, the aforementioned detection components also include a processor, a power supply, and a control switch. The processor is electrically connected to the first detection element 5 and the second detection element 6, and is used to transmit the data detected by the first and second detection elements 5 and 6 externally. Simultaneously, the power supply and the control switch are both electrically connected to the processor, and the control switch is used to control the activation of the processor, the first detection element 5, and the second detection element 6. Since patients' rehabilitation training often does not require doctor assistance, and doctors are rarely present to assist with rehabilitation testing, the inclusion of a processor that can directly transmit detection data to external devices eliminates the need for patients to record test data, simplifying the rehabilitation effect detection process, improving detection efficiency, and ensuring detection accuracy. Furthermore, the inclusion of a control switch and a power supply allows patients to monitor their knee joint rehabilitation anytime and anywhere, reducing the impact of environmental factors on detection time and results, thereby improving the convenience of knee joint testing.

[0062] Specifically, the processor includes an information processing module, a transmission module, and a charging module. The information processing module collects and processes the collected data. Since inertial sensors are used to detect and measure acceleration, tilt, impact, vibration, rotation, and multi-degree-of-freedom motion, they cannot directly detect the angle between the human thigh and lower leg. Therefore, the detection data needs to be processed and analyzed. This application includes an information processing module, enabling the processor to process and analyze the data from the first detection element 5 and the second detection element 6, ultimately obtaining a more intuitive detection result. Simultaneously, the transmission module transmits the collected and processed data externally to ensure the processor's information transmission capability. Furthermore, this application includes a charging module to charge the power supply, thereby further ensuring the effectiveness of the knee brace and extending its service life.

[0063] It should be noted that the processor may also include a storage module to ensure the detection data of the first detection element 5 and the second detection element 6, thereby providing a storage basis for data processing and ensuring subsequent comparative analysis.

[0064] In this embodiment, each inertial sensor is equipped with a corresponding processor, power supply, and control switch, and the inertial sensor, processor, power supply, and control switch are combined to form a detection device. This detection device is detachably mounted on the first binding strap 1 or the second binding strap 3. Simultaneously, the aforementioned torque sensor is electrically connected to one of the detection devices, which can receive the detection data from the torque sensor and transmit it externally. This arrangement reduces the impact on the protection and fixation effect of the knee brace, while also ensuring the overall weight of the knee brace and improving the performance of the knee joint.

[0065] This embodiment also relates to a postoperative detection system for knee joint surgery, which includes the aforementioned knee joint brace, as well as a first terminal and a second terminal.

[0066] The knee brace can detect the muscle torque of the patient's knee joint during flexion and extension at a fixed angle, as well as the angle between the patient's thigh and lower leg, thereby collecting motion information during movement and transmitting this information outward. Simultaneously, both the first and second terminals can receive the detection data transmitted by the detection components, and the second terminal can send a rehabilitation plan to the first terminal.

[0067] like Figure 2 As shown, the detection system includes a knee brace, a first terminal, a second terminal, and a cloud detection server. The knee brace is worn on the patient's leg. The cloud detection server is communicatively connected to the first and second terminals. In this embodiment, the first terminal is the patient's user terminal, and the second terminal is the doctor's user terminal; both can be computers or mobile phones. The first and second terminals communicate with the cloud detection server via software programs. In actual use, the doctor's mobile phone can generate or edit the patient's rehabilitation plan and send it to the patient. The patient then performs rehabilitation training according to the plan and periodically monitors the rehabilitation effect.

[0068] In this embodiment, the first terminal is communicatively connected to the detection component of the knee brace. When a patient needs to test the rehabilitation effect of the knee joint, the patient first needs to activate the detection component via a control button, then connect the first terminal to the detection component via Bluetooth. Next, the patient needs to perform the test according to the requirements of the rehabilitation plan and the provided detection plan. During the test, the torque sensor transmits the detection data to one of the first and second inertial sensors, and the first and second inertial sensors transmit the test results to the first terminal. At this time, the first terminal transmits the detection data to the cloud detection server via software, and the detection data appears on the doctor's terminal. Simultaneously, the cloud detection server can send a rehabilitation plan to the doctor's terminal based on the test results. The doctor then adaptively adjusts the rehabilitation plan according to the patient's actual rehabilitation training progress, and finally, the doctor's terminal sends the final rehabilitation plan to the patient's terminal.

[0069] The postoperative knee joint monitoring system in this embodiment, by setting up a first terminal and a second terminal in conjunction with a knee brace, can realize timely monitoring of the knee joint's rehabilitation status. Doctors can modify or improve the monitoring plan based on the monitoring results in a timely manner and ultimately determine the patient's subsequent rehabilitation training content. This helps doctors understand the rehabilitation effect of the patient's knee joint, improves the patient's rehabilitation effect, and enables the patient to recover their original motor function as soon as possible.

[0070] Furthermore, this embodiment also relates to a postoperative detection method for knee joints, implemented according to the aforementioned postoperative detection system for knee joints, such as... Figure 3 As shown, the detection method includes:

[0071] Obtain basic patient information and establish a knee joint rehabilitation database;

[0072] Obtain the angle and muscle torque of the patient's knee joint during flexion and extension;

[0073] Based on the knee joint rehabilitation database, and according to the fact that the angle and muscle torque do not meet the requirements of rehabilitation training, corresponding rehabilitation plans are formulated.

[0074] Obtain the patient's actual recovery status, modify or improve the rehabilitation plan, and send the rehabilitation plan to the patient.

[0075] Specifically, this detection method first establishes a knee joint rehabilitation database. Establishing this database requires the prior collection of various knee joint injury and treatment cases, along with their corresponding rehabilitation plans and progress. In this embodiment, the knee joint rehabilitation database collects at least 3000 cases to form a relatively complete and objective database, which can be enriched and improved based on existing cases. Simultaneously, it is necessary to obtain basic patient information, including the extent of knee joint injury, type of surgery, and surgical outcomes, to provide a theoretical basis for subsequent rehabilitation plan development.

[0076] Next, the patient's knee joint is tested using a knee brace to obtain the angle and muscle torque of the knee joint during flexion and extension, thereby recording the patient's motion data. At this time, the test results are uploaded via a communication connection to be compared with the knee joint rehabilitation database.

[0077] When the knee joint's angle and muscle torque during testing do not meet the requirements for rehabilitation training, the cloud testing server will generate a corresponding rehabilitation plan and send it to the doctor's terminal. At this point, the doctor will determine whether the rehabilitation plan is feasible through communication with the patient and their family. If it is not feasible, adaptive adjustments will be made. If it is feasible, the plan will be sent directly to the patient's terminal, and the doctor will urge them to train according to the rehabilitation plan.

[0078] When the knee joint's angle and muscle torque meet the requirements for rehabilitation training during the test, the cloud testing server will provide a notification indicating that the rehabilitation training has been completed. At this point, the cloud testing server will send a follow-up training plan or a summary of the original plan's progress to the doctor's terminal. After obtaining the doctor's approval, the rehabilitation plan will then be sent from the doctor's terminal to the patient's terminal.

[0079] After the patient completes the next stage of rehabilitation training, subsequent rehabilitation effectiveness will be assessed, and the above procedures will be followed until the patient is confirmed to have fully recovered.

[0080] like Figure 4 As shown, after obtaining the patient's basic information and establishing a knee joint rehabilitation database, the following steps are included:

[0081] Based on the knee joint rehabilitation database, a preliminary rehabilitation plan is developed and sent to the patient.

[0082] After completing rehabilitation training according to the initial rehabilitation plan, the angle and muscle torque of the patient's knee joint during flexion and extension were measured.

[0083] Because the effectiveness of knee rehabilitation cannot be determined immediately after surgery, a preliminary rehabilitation plan needs to be developed. The effectiveness of this plan can only be assessed after the patient completes rehabilitation training. Therefore, after surgery, a preliminary rehabilitation plan needs to be determined based on a knee rehabilitation database and the patient's basic information, such as the extent of knee injury, surgical procedures, and surgical outcomes. This plan is then approved by the doctor and sent to the patient. Subsequently, after the patient completes a course of rehabilitation training according to the plan, the angle of the knee joint during flexion and extension, as well as muscle torque, are measured.

[0084] The postoperative knee joint detection method of this invention enables phased monitoring of knee joint rehabilitation, thereby ensuring continuous and correct rehabilitation treatment for patients. This improves symptoms, slows disease progression, enhances disease control, and promotes effective rehabilitation. The detection method of this invention, through the aforementioned postoperative knee joint detection system, improves detection efficiency, reduces the need for rehabilitation personnel, and ensures the correct implementation of rehabilitation training.

[0085] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A knee brace for acquiring motion information of a patient during exercise, characterized in that, The knee brace includes: A first binding assembly is used to bind and fix the human thigh, and a first attachment plate is provided on the first binding assembly. The second binding assembly is used to bind and fix the lower leg of the human body. The second binding assembly is provided with a second attachment plate, which is hinged to the first attachment plate. The detection component includes a first detection element and a second detection element. The first detection element is disposed at the hinge of the first attachment plate and the second attachment plate and is located on both sides of the human knee joint. The first detection element is used to detect the muscle torque of the human knee joint when it is flexed and extended at a fixed angle. The second detection element is used to detect the angle between the human thigh and the lower leg. The second detection component is configured as two inertial sensors. One of the two inertial sensors is disposed on the first binding assembly and located in front of the human thigh, and the other of the two inertial sensors is disposed on the second binding assembly and located in front of the human lower leg. The two inertial sensors cooperate to detect the angle between the human thigh and the lower leg. The first detection element is a torque sensor, and the first attachment plate and the second attachment plate are hinged through the torque sensor.

2. The knee brace according to claim 1, characterized in that, The detection component also includes: A processor, which is electrically connected to the first detection element and the second detection element, and is used to transmit the data detected by the first detection element and the second detection element to an external source; A power supply, which is electrically connected to the processor; A control switch is used to control the activation of the processor, the first detection element, and the second detection element.

3. The knee brace according to claim 2, characterized in that, The processor includes: An information processing module is used to collect the data and process the collected data. The transmission module is used to transmit the collected and processed data to an external source; A charging module, which is used to charge the power supply.

4. A postoperative detection system for knee joint surgery, characterized in that, include: The knee brace as described in any one of claims 1-3; as well as First terminal and second terminal; Both the first terminal and the second terminal can receive the detection data transmitted by the detection component, and the second terminal is used to send a rehabilitation plan to the first terminal.

5. The postoperative detection system for knee joint surgery according to claim 4, characterized in that, Also includes: A cloud detection server, which is communicatively connected to the first terminal and the second terminal.

6. The postoperative detection system for knee joint surgery according to claim 5, characterized in that, The first terminal is communicatively connected to the detection component of the knee brace.

7. A method for detecting knee joint defects after surgery, characterized in that, The detection method, implemented according to any one of claims 4-6, comprises: Obtain basic patient information and establish a knee joint rehabilitation database; Obtain the angle and muscle torque of the patient's knee joint during flexion and extension; Based on the knee joint rehabilitation database, and considering that the angle and muscle torque do not meet the requirements for rehabilitation training, a corresponding rehabilitation plan is formulated. Obtain the patient's actual recovery status, modify or improve the recovery plan, and send the recovery plan to the patient.

8. The method for detecting knee joint defects after surgery according to claim 7, characterized in that, After obtaining the patient's basic information and establishing a knee joint rehabilitation database, the following should be included: Based on the knee joint rehabilitation database, an initial rehabilitation plan is developed and sent to the patient. After completing rehabilitation training according to the aforementioned preliminary rehabilitation plan, the angle and muscle torque of the patient's knee joint during flexion and extension were measured.

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