Leg physiotherapy control method and device, control equipment and wearable physiotherapy device

Abstract

The present invention relates to the field of data processing, and discloses a leg physiotherapy control method and device, a control device, and a wearable physiotherapy device. The method comprises: in response to a preset instruction of a user, collecting a target weight parameter corresponding to a first target area of ​​the user's leg, and target circumference data corresponding to a second target area of ​​the user's leg; generating target control parameters of a multi-chamber airbag according to the target weight parameter and the target circumference data; and controlling the multi-chamber airbag to perform a leg physiotherapy operation according to the control parameters. In an embodiment of the present invention, it is no longer dependent on a single massage mode, and the physiotherapy parameters are dynamically adjusted according to different leg circumferences and different physiotherapy postures, which can improve the physiotherapy effect.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a leg physiotherapy control method and device, a control device and a wearable physiotherapy device. Background Art

[0002] Air wave therapy sets different working modes according to the patient's specific conditions, using multiple air bags to squeeze the patient's limbs in sequence to promote blood and lymph flow and improve microcirculation.

[0003] Wearable physiotherapy devices can perform airbag massage on the knee joints, thigh muscles, ankles, etc. by wearing multiple airbags on the lower limbs of the human body. However, the air wave therapy mode of traditional wearable physiotherapy devices is relatively simple. Generally, different airbags use the same massage force, and cannot adapt to the user's posture adjustment to change the massage force, resulting in poor leg therapy effect. Summary of the invention

[0004] The main purpose of the invention is to solve the technical problem of poor therapeutic effect of leg physiotherapy methods.

[0005] A first aspect of the present invention provides a leg physiotherapy control method, which is applied to a wearable physiotherapy device, wherein the wearable physiotherapy device carries a multi-cavity airbag, wherein a first detection area in the multi-cavity airbag is provided with a weight parameter detection component for detecting a target weight parameter corresponding to a first target area of ​​a user's leg, and a second detection area in the multi-cavity airbag is provided with a circumference data detection component for detecting target circumference data corresponding to a second target area of ​​a user's leg. The leg physiotherapy control method comprises:

[0006] In response to a preset instruction of the user, a target weight parameter corresponding to a first target area of ​​the user's leg and target circumference data corresponding to a second target area of ​​the user's leg are collected;

[0007] Generate target control parameters of the multi-chamber airbag according to the target weight parameter and the target circumference data;

[0008] The multi-chamber airbag is controlled according to the control parameters to perform leg physiotherapy operations.

[0009] Optionally, in a first implementation of the first aspect of the present invention, the step of generating target control parameters of the multi-chamber airbag according to the target weight parameter and the target circumference data includes:

[0010] Determine basic control parameters of the multi-chamber airbag according to target circumference data;

[0011] determining a first posture compensation parameter of the multi-chamber airbag according to the target weight parameter;

[0012] generating target control parameters of the multi-cavity airbag according to the basic control parameters of the cavity airbag and the first posture compensation parameters;

[0013] Optionally, the target control parameters include target maximum bearing pressure, kneading cycle, and kneading force ratio.

[0014] Optionally, in a second implementation of the first aspect of the present invention, the target weight parameters include weight parameters of the rear heel area, weight parameters of the sole area, weight parameters of the rear knee area, and weight parameters of the inner thigh area; and / or

[0015] The target circumference data includes the circumference of the ankle, the circumference of the calf muscle, the circumference of the knee bone, and the circumference of the thigh muscle.

[0016] Optionally, in a third implementation of the first aspect of the present invention, after the step of controlling the multi-chamber airbag to perform the leg physiotherapy operation according to the target control parameter, the method further includes:

[0017] Monitor whether the user's current posture has changed according to the target weight parameters and target circumference data corresponding to the user's legs within a preset time period;

[0018] If the user's current posture changes, a second posture compensation parameter of the multi-chamber airbag is determined according to the user's current target weight parameter;

[0019] updating the target control parameter according to the basic control parameter of the multi-chamber airbag and the second posture compensation parameter, and controlling the multi-chamber airbag to perform leg physiotherapy operation according to the updated target control parameter;

[0020] Optionally, the user's current posture includes any one of standing, sitting or lying.

[0021] Optionally, in a fifth implementation of the first aspect of the present invention, the step of monitoring whether the user's posture changes according to the target weight parameter and target circumference data corresponding to the user's legs within a preset time period includes:

[0022] Obtaining a weight parameter database according to the real-time target weight parameter corresponding to the first target area of ​​the user's leg within the preset time period, and obtaining a circumference database according to the real-time target circumference data corresponding to the second target area of ​​the user's leg within the preset time period;

[0023] Generate weight change trend information based on the weight parameter database, and generate girth change trend information based on the girth database;

[0024] Based on the weight change trend information and the circumference change trend information, determine whether the user's posture has changed.

[0025] Optionally, in a seventh implementation of the first aspect of the present invention, the step of determining whether the user posture has changed according to the weight change trend information and the circumference change trend information includes:

[0026] Performing time series analysis on the weight change trend information and the girth change trend information within a preset time period to obtain time series features;

[0027] According to the time series characteristics, determine whether the user's posture has changed.

[0028] A second aspect of the present invention provides a leg therapy control device, which is applied to a wearable therapy device. The wearable therapy device carries a multi-cavity airbag. A weight parameter detection component is provided in a first detection area of ​​the multi-cavity airbag, which is used to detect a target weight parameter corresponding to a first target area of ​​a user's leg. A circumference data detection component is provided in a second detection area of ​​the multi-cavity airbag, which is used to detect target circumference data corresponding to a second target area of ​​a user's leg. The leg therapy control device includes:

[0029] Data collection module: used to respond to the preset instruction of the user, collect the target weight parameter corresponding to the first target area of ​​the user's leg, and the target circumference data corresponding to the second target area of ​​the user's leg;

[0030] Target control parameter generation module: used to generate target control parameters of the multi-chamber airbag according to target weight parameters and target circumference data;

[0031] Airbag control module: used to control the multi-chamber airbag to perform leg therapy operations according to control parameters.

[0032] The third aspect of the present invention provides a control device, comprising: a memory and at least one processor, the memory storing instructions, the memory and the at least one processor being interconnected through lines; at least one processor calling the instructions in the memory so that the wearable physiotherapy device executes the above-mentioned leg physiotherapy control method.

[0033] A fourth aspect of the present invention provides a readable storage medium, in which a program is stored, and when the program data is executed by a processor, the above-mentioned leg physiotherapy control method is implemented.

[0034] A fifth aspect of the present invention provides a wearable physical therapy device, comprising: the above-mentioned control device;

[0035] Optionally, it also includes a multi-cavity airbag and a detection component arranged on the multi-cavity airbag;

[0036] The first detection area in the multi-chamber airbag is provided with a weight parameter detection component, which is connected to the control device and is used to detect the target weight parameter corresponding to the first target area of ​​the user's leg;

[0037] The second detection area in the multi-chamber airbag is provided with a circumference data detection component, which is connected to the control device and is used to detect the target circumference data corresponding to the second target area of ​​the user's leg.

[0038] In an embodiment of the present invention, in response to a preset instruction of a user, a target weight parameter corresponding to a first target area of ​​a user's leg and target circumference data corresponding to a second target area of ​​a user's leg are collected; target control parameters of a multi-chamber airbag are generated according to the target weight parameter and target circumference data; and the multi-chamber airbag is controlled according to the control parameters to perform a leg therapy operation. Through a leg therapy control method, target control parameters are generated using weight parameters and circumference data of the user's legs, thereby achieving precise control of the multi-chamber airbag. A therapy plan can be customized according to the leg characteristics of each user to provide a personalized experience. The massage intensity, frequency, and mode of the airbag can be adjusted to improve microcirculation based on the actual leg condition of the user, and no longer rely on a single massage mode. Dynamic adjustment of therapy parameters according to different leg circumferences and different therapy postures can be achieved, thereby improving therapy comfort, safety, and therapy effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A schematic diagram of an embodiment of a leg physiotherapy control method in an embodiment of the present invention;

[0040] Figure 2 It is a schematic diagram of a specific embodiment after step 103 of the leg physiotherapy control method in the embodiment of the present invention;

[0041] Figure 3 It is a schematic diagram of a specific embodiment before step 201 of the leg physiotherapy control method in an embodiment of the present invention;

[0042] Figure 4 A schematic diagram of an embodiment of a leg physiotherapy control device in an embodiment of the present invention;

[0043] Figure 5 FIG. 1 is a schematic diagram of an embodiment of a wearable physiotherapy device in an embodiment of the present invention. DETAILED DESCRIPTION

[0044] Embodiments of the present invention provide a leg physiotherapy control method and device, a control device, and a wearable physiotherapy device.

[0045] The embodiments disclosed in the present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments disclosed in the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments disclosed in the present invention are only for exemplary purposes and are not intended to limit the scope of protection disclosed in the present invention.

[0046] In the description of the embodiments disclosed in the present invention, the term "including" and similar terms should be understood as open inclusion, that is, "including but not limited to". The term "based on" should be understood as "based at least in part on". The term "one embodiment" or "the embodiment" should be understood as "at least one embodiment". The terms "first", "second", etc. may refer to different or the same objects. Other explicit and implicit definitions may also be included below.

[0047] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 , an embodiment of the leg physiotherapy control method in the embodiment of the present invention includes:

[0048] 101. In response to a preset instruction of a user, a target weight parameter corresponding to a first target area of ​​a leg of the user and target circumference data corresponding to a second target area of ​​a leg of the user are collected;

[0049] In this embodiment, the leg physiotherapy control method is applied to a wearable physiotherapy device, which carries a multi-cavity airbag. The first detection area in the multi-cavity airbag is provided with a weight parameter detection component for detecting the target weight parameter corresponding to the first target area of ​​the user's leg. The second detection area in the multi-cavity airbag is provided with a circumference data detection component for detecting the target circumference data corresponding to the second target area of ​​the user's leg.

[0050] In some specific embodiments, in the structure of the multi-chamber airbag, the airbags are distributed in various key parts of the wearable physiotherapy device. When worn by a human body, the multi-chamber airbags can surround and cover areas including: soles, heels, calves, knees, and thighs. Each airbag is connected to the control device through an independent pipeline.

[0051] In some specific implementation schemes, the user's preset instruction may be a user's start instruction. After the user starts the wearable therapy device, the target weight parameter and the target circumference data may be collected to generate target control parameters to control different airbags to perform massage operations. The user's preset instruction is not limited to the above instructions, and the control method of the present application may also be implemented by responding to other preset instructions after the wearable therapy device is started.

[0052] In some specific embodiments, the weight parameter detection component can be a weighing sensor. When the leg and the airbag are in contact and interact with each other, the weighing sensor can convert the gravity or pressure acting on the airbag into a measurable output signal in a certain proportion.

[0053] For the first detection area and the weighing sensor. The weighing sensor is set at the key parts corresponding to the multi-chamber airbag and the leg, such as: the sole, the back of the knee, the heel, and the thigh. The weighing sensor detects the weight data of the user's legs in these areas in real time to reflect the force exerted by different areas of the user's legs on the multi-chamber airbag in different postures.

[0054] Optionally, the target weight parameters include weight parameters of the rear heel area, weight parameters of the sole area, weight parameters of the rear knee area, and weight parameters of the inner thigh area. Among them, by real-time monitoring and recording the weight parameters of each area, on the one hand, it is possible to promptly discover problems such as uneven force or excessive force on the user's legs. This helps to prevent sports injuries and protect the health of the user's legs; on the other hand, it can also analyze the leg posture according to the pressure distribution of different areas of the leg on the multi-chamber airbag represented by the weight parameters of each area, and then generate target control parameters for each airbag according to the leg posture, and control multiple airbags separately, so as to achieve the massage experience of adjusting different areas of the leg according to the leg posture. After the user changes the leg posture, a more comfortable and safer leg massage experience can be obtained.

[0055] In some specific embodiments, the circumference data detection component can be a smart spring.

[0056] Specifically, smart springs are used to dynamically adjust and respond to external environments or user behaviors, and can be applied to medical, health monitoring, robotics, smart furniture, and other fields. Through embedded sensors (such as pressure sensors, bending sensors, etc.), smart springs can sense shape changes or force distribution, and convert them into measurable output signals at a certain ratio.

[0057] For the second detection area and the smart spring. The position of the smart spring is set at other key parts of the multi-chamber airbag corresponding to the leg, such as: ankle, calf muscle, knee bone, thigh muscle. On the surface of the smart spring, multiple pressure sensors are arranged to sense the pressure changes on the spring. When the spring contacts the leg, the circumference of the leg will affect the pressure applied to the spring. The compression and deformation of the spring can be used to infer the circumference of the leg through a mechanical model. When the spring is compressed or stretched, there is a certain correlation between the deformation amount and the pressure change.

[0058] The smart spring calculates the leg circumference based on the data collected by the spring deformation and pressure sensors through algorithms (such as regression analysis, machine learning, etc.).

[0059] Optionally, the smart spring can be combined with a bending sensor to detect the circumference of the leg. The bending sensor can sense the change in the bending degree of the spring, thereby calculating the size of the leg and obtaining the target circumference data.

[0060] Optionally, the target circumference data includes the circumference of the ankle, the circumference of the calf muscle, the circumference of the knee bone, and the circumference of the thigh muscle. By collecting the circumference data of the ankle, the calf muscle, the knee bone, and the thigh muscle, the size and shape of the user's legs can be more accurately understood. A physical therapy plan that better fits the user's leg characteristics can be formulated.

[0061] In actual application, after the user starts the wearable physiotherapy device, the wearable physiotherapy device performs system initialization, initializes the weighing sensor and the smart spring, and establishes a communication connection between the weighing sensor, the smart spring, and the leg physiotherapy control device.

[0062] Specifically, a weighing sensor is activated in the first detection area of ​​the multi-chamber airbag (corresponding to the sole, back of the knee, heel, and thigh of the user). The user's leg weight data is collected in real time and transmitted to the leg therapy control device. The leg therapy control device processes the data and obtains the target weight parameter.

[0063] The smart spring is activated in the second detection area of ​​the multi-chamber airbag (corresponding to the user's ankle, calf, knee, and thigh). The user's leg circumference data is collected in real time and transmitted to the leg therapy control device. The leg therapy control device processes the data and calculates the target circumference data.

[0064] Further, the user starts the wearable therapy device and observes that the indicator light comes on. The wearable therapy device automatically performs a self-test to confirm that all components (weighing sensors, smart springs, etc.) are working properly. The display screen prompts the self-test result.

[0065] Initialize the load cell and smart spring and test their functional status. Place the user's leg in the first detection area (such as the sole of the foot or behind the knee). Start the load cell and perform self-calibration.

[0066] The leg therapy control device analyzes the received weight data, calculates the effective data, and calculates and records the target weight parameters.

[0067] 102. Generate target control parameters of the multi-cavity airbag according to the target weight parameter and the target circumference data;

[0068] Specifically, the leg physiotherapy control device generates target control parameters of the multi-chamber airbag by combining target weight parameters, target circumference data and a preset algorithm.

[0069] Specifically, the wearable physiotherapy device integrates target weight parameters and target circumference data, and applies a preset algorithm to generate target control parameters of the multi-chamber airbag.

[0070] In some specific implementation schemes, the target control parameters include the target maximum bearing pressure, kneading cycle and kneading force ratio of each sub-airbag, so as to control multiple airbags to work according to different pressures and / or sequences. The maximum bearing pressure represents the maximum pressure reached after the airbag is pressurized from the base pressure, so as to ensure that it is within the user's bone and muscle bearing capacity and allow the user to have a more comfortable experience. Exemplarily, the base pressure is generally 0kpa. The kneading cycle package represents the sum of the pressurization time for an airbag to reach the maximum bearing pressure and the holding time to maintain the maximum bearing pressure. The kneading force ratio represents the ratio of adjusting the output states of different air pumps in a kneading cycle. For example, the sum of the inflation time of 0-30kpa plus the holding time of 30kpa is divided into 10 equal proportions of time, and the kneading force ratio of 3:2 means that the inflation time accounts for 6 of the total time and the holding time accounts for 4 of the total time.

[0071] According to the target control parameters of the multi-chamber airbag, the following are achieved: determining the safe pressure range of each sub-airbag for a specific user's specific posture; setting the inflation and deflation cycle of the airbag for a specific user's specific posture; and determining the force output ratio of each airbag for a specific user's specific posture. This not only ensures that each parameter works within the safe value, but also provides a better physical therapy experience for the user's specific posture, and more flexibly meets the physical therapy needs of each user in different postures.

[0072] Optionally, step 102 also includes the following specific implementations:

[0073] 1021. Determine basic control parameters of the multi-chamber airbag according to the target circumference data;

[0074] Specifically, the target weight parameter corresponding to the first target area of ​​the user's leg is obtained from the first detection area in the multi-chamber airbag. The target circumference data corresponding to the second target area of ​​the user's leg is obtained from the second detection area in the multi-chamber airbag. According to the obtained target circumference data, the basic control parameters of the multi-chamber airbag are determined through a preset algorithm or lookup table. Among them, the basic control parameters may include the initial maximum bearing pressure of the airbag, the kneading cycle and the kneading force ratio. More specifically, the initial maximum bearing pressure of the airbags distributed in different parts of the leg may be the same or different. Generally speaking, the maximum bearing pressure at the distal end of the leg is greater than or equal to the maximum bearing pressure at the proximal end.

[0075] 1022. Determine a first posture compensation parameter of the multi-cavity airbag according to the target weight parameter, and generate a target control parameter of the multi-cavity airbag according to the basic control parameter of the multi-cavity airbag and the first posture compensation parameter.

[0076] Specifically, according to the acquired target weight parameter, a first posture compensation parameter of the multi-chamber airbag is determined by another preset algorithm or lookup table. The posture compensation parameter is used to adjust the maximum bearing pressure of the airbag to adapt to the leg weight and posture differences of different users.

[0077] The basic control parameters and the first posture compensation parameters are combined to generate target control parameters of the multi-chamber airbag. These target control parameters include target maximum bearing pressure, kneading cycle, kneading force ratio, etc., which are used to accurately control the physiotherapy operation of the airbag. According to the generated target control parameters, the multi-chamber airbag is controlled to perform the corresponding leg physiotherapy operation.

[0078] In steps 1021-1022, by generating target control parameters according to the user's leg weight and circumference data, a personalized physical therapy experience can be provided. Different users can obtain the most suitable physical therapy operation according to their leg characteristics, thereby improving the physical therapy effect. Furthermore, by combining the basic control parameters and the posture compensation parameters, the physical therapy operation of the airbag can be more accurately controlled, improving the accuracy and comfort of the physical therapy.

[0079] In some specific implementation schemes, determining the first posture compensation parameter of the multi-chamber airbag according to the target weight parameter specifically includes:

[0080] The current posture of the user is determined according to the target weight parameter, and the first posture compensation parameter of the multi-chamber airbag is determined according to the current posture of the user.

[0081] Specifically, the user's current posture includes any one of sitting, standing and lying. Different postures and posture compensation parameters correspond one to one. After determining the user's current posture, the corresponding posture compensation parameters can be determined, and then combined with the basic compensation parameters to implement different physical therapy plans for different postures, greatly improving the comfort and effectiveness of physical therapy in different postures. It is understandable that the user's current posture is not limited to the above-mentioned postures. The corresponding posture compensation parameters can be set in a targeted manner according to the specific postures corresponding to the user's physical therapy needs in different scenarios, and then based on the posture compensation parameters corresponding to the specific posture combined with the basic compensation parameters, a personalized physical therapy plan for the specific posture can be implemented.

[0082] Among them, when determining the current posture of the user according to the target weight parameter, the preset algorithm can be used to analyze the current target weight parameter to determine the current posture of the user. For example, based on the user's target weight parameter, the weight distribution characteristics detected by the first target area of ​​the leg are extracted, and the current posture of the user is determined according to the weight distribution characteristics of the first target area of ​​the leg. For example, when standing, the weight borne by the sole of the foot is usually large and evenly distributed, that is, the target weight parameter detected by the target area corresponding to the sole of the foot in the first detection area of ​​the multi-chamber airbag is large, and the target area corresponding to the thigh and the knee is very light, while when sitting, the weight borne by the knee due to the bending and squeezing of the knee is usually large, that is, the target weight parameter detected by the target area corresponding to the sole of the foot in the first detection area of ​​the multi-chamber airbag decreases, and the target weight parameter detected by the target area behind the knee increases, and is greater than the target weight parameter detected by the target area of ​​the thigh; when lying, the weight borne by the thigh is usually large and more even, and the target weight parameter detected by the target area of ​​the sole of the foot will be smaller, and smaller than the target weight parameter detected by the target area behind the knee and the target weight parameter detected by the target area of ​​the thigh, and the target weight parameter detected by the target area behind the knee and the target weight parameter detected by the target area of ​​the thigh are generally similar.

[0083] Posture compensation parameters refer to parameters that adjust basic control parameters to different degrees according to different postures. In some specific implementation schemes, posture compensation parameters include standing compensation parameters, sitting compensation parameters, and sitting compensation parameters. It is understandable that posture compensation parameters are not limited to the above parameters. According to the specific postures corresponding to the user's physical therapy needs in different scenarios, corresponding posture compensation parameters can be set in a targeted manner, and then based on the posture compensation parameters corresponding to the specific posture combined with the basic compensation parameters, a personalized physical therapy plan for a specific posture can be achieved.

[0084] In some specific implementation schemes, for different postures, the posture compensation parameters may also include different compensation sub-parameters for different parts. For example, for standing posture, the muscles of all leg joints are under tense stress, and the standing posture compensation parameters include the first compensation sub-parameters for the airbags at the ankles, knees, calves, and thighs. For sitting posture, the thighs are under greater stress than other parts, and the sitting posture compensation parameters include the second compensation sub-parameters for the thighs and the third compensation sub-parameters for the ankles, knees, and calves. For lying posture, the leg muscles are completely relaxed, and the lying posture compensation parameters include the fourth compensation sub-parameters for the calves and thighs and the fifth compensation sub-parameters for the ankles and knees. According to the above compensation sub-parameters, the basic control parameters of different airbags can be fine-tuned to meet the physical therapy needs of different postures.

[0085] It is understandable that in order to achieve a certain therapeutic effect, after fine-tuning the basic control parameters, the maximum pressure that the distal end of the leg can withstand is generally greater than or equal to the maximum pressure that the proximal end can withstand.

[0086] 103. Control the multi-chamber airbag to perform leg therapy operations according to the control parameters.

[0087] Specifically, the leg therapy control device controls the inflation and deflation of the multi-chamber airbag according to the generated target control parameters. Performs therapy operations, including inflation, pressure maintenance and deflation of the airbag. For example, the leg therapy control device receives and processes the collected target weight parameters and target circumference data. According to the preset algorithm or model, combined with the user's leg weight and circumference data, generates the target control parameters of the multi-chamber airbag.

[0088] In some specific implementation schemes, the target control parameters may include the target maximum bearing pressure of the airbag, the kneading cycle, and the kneading strength ratio, etc. The generated target control parameters are transmitted to the control device. The control device controls the multi-chamber airbag to perform the corresponding leg physiotherapy operation according to the received control parameters.

[0089] In an embodiment of the present invention, in response to a preset instruction of a user, a target weight parameter corresponding to a first target area of ​​a user's leg and target circumference data corresponding to a second target area of ​​a user's leg are collected; target control parameters of a multi-chamber airbag are generated according to the target weight parameter and target circumference data; and the multi-chamber airbag is controlled according to the control parameters to perform a leg therapy operation. Through a leg therapy control method, target control parameters are generated using weight parameters and circumference data of a user's leg, thereby achieving precise control of the multi-chamber airbag. A therapy plan can be customized according to the leg characteristics of each user to provide a personalized experience. The massage intensity and massage cycle of the airbag can be adjusted, and microcirculation can be improved based on the actual leg condition of the user, rather than relying on a single massage mode. Dynamic adjustment of therapy parameters according to different leg circumferences and different therapy postures can be achieved, thereby improving therapy effects.

[0090] It should be noted that when users are undergoing leg therapy, since the forces on various parts of the legs are different in different postures, when switching postures, if massage is performed on parts where muscles and ligaments are tense due to posture switching, not only may the massage effect be poor, but it may also cause muscle damage. For parts where muscles are more relaxed due to posture switching, excessive massage pressure may cause uncomfortable massage.

[0091] The present application adopts a method of combining static physiological data and user posture dynamic change data, and uses basic control parameters and posture compensation parameters to generate target control parameters. Among them, the basic control parameters generated based on static physiological data, i.e., the user's leg shape characteristics, can be used to customize personalized physical therapy plans for users on the one hand, and on the other hand, as a benchmark for fine-tuning using posture compensation parameters, it can ensure that the target control parameters are adjusted within a smaller range, so that after the user adjusts the posture, the stability and accuracy of the airbag inflation and deflation process are guaranteed, thereby improving the stability of the physical therapy experience. The posture compensation parameters generated based on the user's dynamic posture change data can meet the user's physical therapy needs in different postures, and improve the user's physical therapy safety and comfort in different postures.

[0092] In traditional wearable physiotherapy devices, fixed control parameters are usually used to perform physiotherapy operations, and these parameters may not be able to fully adapt to the leg characteristics and posture differences of different users. Therefore, in actual use, the user may feel uncomfortable or the physiotherapy effect is poor. In addition, although some wearable physiotherapy devices have adjustable control parameters, they usually require users to set them manually, which is not only cumbersome to operate, but also may not accurately reflect the actual leg characteristics and needs of the user. Based on this, the present invention proposes an optional embodiment.

[0093] Reference Figure 2 , Figure 2 This is a schematic diagram of a specific embodiment after step 103 of the leg physiotherapy control method in an embodiment of the present invention, and the following specific implementation methods are also included after step 103:

[0094] 201. Monitoring whether the user's posture changes according to the weight parameters and circumference data of the user's legs corresponding to a preset time period;

[0095] Specifically, the first posture compensation parameter of the multi-chamber airbag is determined according to the acquired target weight parameter. The first posture compensation parameter is used to adjust the inflation volume, pressure or kneading mode of the airbag to adapt to the leg weight and posture differences of different users.

[0096] Optionally, the current posture of the user includes standing, sitting or lying. If it is detected that the current posture of the user changes (for example, from standing to sitting), the target control parameter can be updated.

[0097] 202. If the user's posture changes, determine a second posture compensation parameter of the multi-chamber airbag according to the user's current target weight parameter;

[0098] 203. Update the target control parameter according to the basic control parameter of the multi-chamber airbag and the second posture compensation parameter, and control the multi-chamber airbag to perform leg therapy operation according to the updated target control parameter.

[0099] Specifically, the basic control parameters and the second posture compensation parameters are combined to update the target control parameters of the multi-chamber airbag. The target control parameters include the maximum bearing pressure, kneading cycle, kneading force ratio, etc. According to the updated target control parameters, the multi-chamber airbag is controlled to perform the corresponding leg physiotherapy operation.

[0100] In steps 201-202, by combining the target weight parameter and the target circumference data, a personalized target control parameter is generated, so that the wearable physiotherapy device can provide more accurate physiotherapy services according to the leg characteristics of different users, thereby improving the user experience. Furthermore, the comfort level during the physiotherapy process can be guaranteed through precise control parameters (such as the maximum pressure, kneading cycle, and kneading strength ratio), thereby improving the overall effect of the physiotherapy.

[0101] In the development process of wearable physiotherapy devices, traditional devices often lack the ability to automatically identify and adapt to changes in user postures. This results in the physiotherapy effect being greatly reduced in different postures, and may even cause discomfort. Based on this, the present invention proposes an optional embodiment.

[0102] Reference Figure 3 , Figure 3 This is a schematic diagram of a specific embodiment before step 201 of the leg physiotherapy control method in an embodiment of the present invention, and before step 201, the following specific implementation methods are also included:

[0103] 203. Obtain a weight parameter database according to the real-time weight parameter corresponding to the first target area of ​​the user's leg within the preset time period, and obtain a circumference database according to the real-time circumference data corresponding to the second target area of ​​the user's leg within the preset time period;

[0104] The weighing sensor detects the weight parameters of the user's legs in real time, and stores the collected data in the weight parameter database. The smart spring detects the circumference data of the user's legs in real time, and stores the collected data in the circumference database.

[0105] 204. Generate weight change trend information according to the weight parameter database, and generate girth change trend information according to the girth database;

[0106] Among them, the data in the weight parameter database is analyzed to generate weight change trend information. Statistical methods such as smoothing of time series data and trend line fitting can be applied. The data in the girth database is analyzed to generate girth change trend information. Time series analysis technology can be used for processing.

[0107] 205. Determine whether the user's posture has changed based on the weight change trend information and the circumference change trend information.

[0108] The weight change trend information and the girth change trend information are combined to determine the user's current posture using a preset algorithm. It can determine whether the user is in a standing, sitting or lying position.

[0109] Specifically, the weight data of the legs is collected in real time through the weighing sensor to extract the changing trend of weight distribution. For example, when standing, the weight borne by the legs is usually large and evenly distributed, while when sitting, the weight may be distributed to the buttocks and thighs, and the weight of the legs is relatively light; when lying down, the weight of the legs will be smaller and the center of gravity will change.

[0110] The circumference data of the smart spring reflects the tightness of the contact between the leg and the device. For example, when standing, the legs will be tense and the muscles will maintain a certain tension, and the circumference change will be relatively small; when sitting or lying, the legs may have different circumference changes due to comfort or relaxation. The change in circumference can be used to identify whether there is a leg flexion or extension movement.

[0111] Perform time series analysis on weight and girth data to extract trend changes over long periods of time. Training on historical data can be used to identify specific weight and girth change patterns under different postures. For example:

[0112] Standing posture: In standing posture, the weight distribution of the two soles is relatively even, and the soles are under greater pressure, and the change in the circumference of the lower limbs is small. By analyzing the weight change trend of different parts of the first target area and the circumference stability of different parts of the second target area, the system can determine that the user is in a standing state.

[0113] Sitting posture: When sitting, the weight is usually concentrated in the hip area, so the pressure on the sole of the foot is reduced and the knee will bend or deform to a certain extent, resulting in increased pressure on the rear end of the knee. The knee circumference data will also reflect this change. The system will analyze the weight change characteristics of different parts of the first target area and the change range of the circumference of different parts of the second target area to determine whether the user is in a sitting position.

[0114] Lying posture: When lying down, the weight on the soles of the feet will be significantly reduced, and the changes in the thigh circumference data will also show small fluctuations. Since the legs are usually completely relaxed when lying down, the system will infer the user's lying posture based on the significant decrease in the weight on the soles of the feet and the slight fluctuations in the circumference changes.

[0115] When the posture is determined, the target control parameters of the multi-chamber airbag are adjusted according to the posture compensation parameters corresponding to different postures. For example:

[0116] In standing position: The muscles of all leg joints are under tension, and the maximum pressure of the airbags corresponding to the ankles, knees, calves, and thighs can be adjusted upward relative to the basic control parameters, so that the leg muscles can be relaxed and relieved while ensuring the safety of physical therapy. For example, when the muscles of all leg joints are under tension, the maximum pressure of the ankles, knees, calves, and thighs increases by 12%.

[0117] In sitting position: The thigh is under greater force, and the maximum pressure of the corresponding airbag in the leg can be adjusted down relative to the basic control parameters to adapt to the leg load in sitting position, and to perform gentle massage and relaxation, thereby improving the safety and comfort of physical therapy. The maximum pressure ratio of the thigh in sitting position is reduced by 8%, and the maximum pressure ratio of the rest (ankle, knee, calf) is reduced by 5%.

[0118] Lying down: Since the legs are completely relaxed, the maximum pressure of the corresponding airbags in the thighs and calves can be lowered relative to the basic control parameters, achieving better massage effects at a lower pressure, ensuring leg comfort and promoting blood circulation. For example, when the leg muscles are completely relaxed, the pressure range of the calves and thighs is reduced by 10%.

[0119] It is understandable that the posture compensation parameters corresponding to different postures can be adaptively set and adjusted according to the massage needs of the user in different postures, and are not limited to the above-mentioned adjustment purposes and adjustment schemes.

[0120] In steps 203-205, by detecting the weight and circumference data of the user's legs in real time and adjusting the target control parameters of the multi-chamber airbag accordingly, the wearable physiotherapy device can provide customized physiotherapy services in different postures. Furthermore, by real-time judgment of posture, it can not only adapt to the user's current posture, but also dynamically adjust the physiotherapy parameters to provide tailored services.

[0121] In traditional wearable physiotherapy devices, the adjustment of physiotherapy parameters usually depends on the user's manual settings or preset fixed parameters. However, the user's posture may change during use, and the control of fixed parameters may lead to reduced physiotherapy effects or discomfort. Based on this, the present invention proposes an optional embodiment.

[0122] Step 205 also includes the following specific implementations:

[0123] 2051. Perform time series analysis on the weight change trend information and the girth change trend information within a preset time period to obtain time series characteristics;

[0124] Specifically, within a preset time period, the real-time weight parameters of the first target area of ​​the user's leg (such as the back of the heel, the heel, etc.) are continuously collected and stored in a weight parameter database.

[0125] At the same time, the real-time circumference data of the second target area of ​​the user's leg (such as the ankle, calf muscle, etc.) is collected and stored in the circumference database.

[0126] Perform time series analysis on the generated weight change trend information and girth change trend information. Time series analysis is a statistical method used to identify patterns and trends in data over time. In this step, the time series analysis techniques used include but are not limited to autoregressive models, moving average models, exponential smoothing models, etc.

[0127] Based on the extracted time series features, determine whether the user's current posture has changed. The difference between the current time series features and the previously recorded features can be compared, or a predefined threshold can be used to determine whether the posture has changed significantly.

[0128] If it is determined that the current posture of the user has changed, the second posture compensation parameter of the multi-chamber airbag is determined according to the current target weight parameter.

[0129] The target control parameters are updated by combining the basic control parameters and the second posture compensation parameters.

[0130] According to the updated target control parameters, the multi-chamber airbag is adjusted to perform leg physiotherapy operations.

[0131] In the process of time series analysis, time series features such as trend, seasonality, periodicity, etc. are identified and extracted.

[0132] The user's current posture is determined based on the extracted time series features and the preset algorithm. The algorithm comprehensively considers the changing trends of weight and circumference, as well as the correlation between them, and then infers what kind of changes have occurred in the user's current posture, for example, from standing to sitting, or from sitting to lying.

[0133] 2052. Determine whether the user's posture has changed based on the time series characteristics.

[0134] Specifically, the user's current posture is determined, and the target control parameters are updated according to the preset compensation algorithm corresponding to the current posture. The updated target control parameters will be used to adjust the inflation volume, massage intensity, kneading cycle, etc. of the multi-chamber airbag to ensure that the wearable physiotherapy device can provide the most suitable physiotherapy service for the user.

[0135] In step 2051-2051, by real-time detection and analysis of the weight and circumference data of the user's legs and adjusting the therapy parameters accordingly, the accuracy and effect of the therapy can be significantly improved.

[0136] Figure 4The structure diagram of a leg therapy control device provided by an embodiment of the present invention is shown. The leg therapy control device 400 can be configured on a terminal device. Specifically, the wearable therapy device carries a multi-cavity airbag. The first detection area in the multi-cavity airbag is provided with a weight parameter detection component for detecting a target weight parameter corresponding to a first target area of ​​the user's leg. The second detection area in the multi-cavity airbag is provided with a circumference data detection component for detecting target circumference data corresponding to a second target area of ​​the user's leg. The leg therapy control device includes:

[0137] Data collection module 401: used to collect target weight parameters corresponding to the first target area of ​​the user's leg and target circumference data corresponding to the second target area of ​​the user's leg in response to a preset instruction of the user;

[0138] Target control parameter generation module 402: used to generate target control parameters of the multi-chamber airbag according to the target weight parameter and the target circumference data;

[0139] Airbag control module 403: used to control the multi-chamber airbag to perform leg therapy operations according to control parameters.

[0140] In an embodiment of the present invention, a target weight parameter corresponding to the first target area of ​​the user's leg and target circumference data corresponding to the second target area of ​​the user's leg are obtained; target control parameters of the multi-chamber airbag are generated according to the target weight parameter and the target circumference data; and the multi-chamber airbag is controlled according to the control parameters to perform leg therapy operations. Through the leg therapy control method, the weight parameter and circumference data of the user's leg are used to generate the target control parameters, thereby achieving precise control of the multi-chamber airbag. The therapy plan can be customized according to the leg characteristics of each user to provide a personalized experience. The massage intensity, frequency and mode of the airbag can be adjusted to improve microcirculation based on the actual leg condition of the user, and no longer rely on a single massage mode. The therapy parameters can be dynamically adjusted according to different leg circumferences and different therapy postures, which can improve the therapy effect.

[0141] In some implementations of the present invention, the target control parameter generating module 402 is further used to:

[0142] Determine basic control parameters of the multi-chamber airbag according to target circumference data;

[0143] determining a first posture compensation parameter of the multi-chamber airbag according to the target weight parameter;

[0144] generating target control parameters of the multi-cavity airbag according to the basic control parameters of the cavity airbag and the first posture compensation parameters;

[0145] Optionally, the target control parameters include target maximum bearing pressure, kneading cycle, and kneading force ratio.

[0146] In some embodiments of the present invention, the target weight parameters include weight parameters of the rear heel area, weight parameters of the sole area, weight parameters of the rear knee area, and weight parameters of the inner thigh area; and / or

[0147] The target circumference data includes the circumference of the ankle, the circumference of the calf muscle, the circumference of the knee bone, and the circumference of the thigh muscle.

[0148] In some embodiments of the present invention, the leg physiotherapy control device 400 further includes an update module for:

[0149] Monitor whether the user's current posture has changed according to the target weight parameters and target circumference data corresponding to the user's legs within a preset time period;

[0150] If the user's current posture changes, a second posture compensation parameter of the multi-chamber airbag is determined according to the user's current target weight parameter;

[0151] updating the target control parameter according to the basic control parameter of the multi-chamber airbag and the second posture compensation parameter, and controlling the multi-chamber airbag to perform leg physiotherapy operation according to the updated target control parameter;

[0152] Optionally, the user's current posture includes any one of standing, sitting or lying.

[0153] In some embodiments of the present invention, the update module further includes a determination unit, configured to:

[0154] Obtaining a weight parameter database according to the real-time target weight parameter corresponding to the first target area of ​​the user's leg within the preset time period, and obtaining a circumference database according to the real-time target circumference data corresponding to the second target area of ​​the user's leg within the preset time period;

[0155] Generate weight change trend information based on the weight parameter database, and generate girth change trend information based on the girth database;

[0156] Based on the weight change trend information and the circumference change trend information, determine whether the user's posture has changed.

[0157] In some embodiments of the present invention, the update module is further used to:

[0158] Performing time series analysis on the weight change trend information and the girth change trend information within a preset time period to obtain time series features;

[0159] According to the time series characteristics, determine whether the user's posture has changed.

[0160] Figure 5: is a structural schematic diagram of a leg therapy control device provided by an embodiment of the present invention. The leg therapy control device 500 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 510 (for example, one or more processors) and a memory 520, and one or more storage media 530 (for example, one or more mass storage devices) storing application programs 533 or data 532. Among them, the memory 520 and the storage medium 530 can be short-term storage or permanent storage. The program stored in the storage medium 530 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the leg therapy control device 500. Furthermore, the processor 510 can be configured to communicate with the storage medium 530 to execute a series of instruction operations in the storage medium 530 on the leg therapy control device 500.

[0161] The leg physiotherapy control device 500 may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input and output interfaces 560, and / or one or more operating systems 531, such as Windows Serve, Mac OS X, Unix, Linux, Free BSD, etc. Those skilled in the art will appreciate that Figure 5 The structure of the leg physiotherapy control device shown does not constitute a limitation on the leg physiotherapy control device, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0162] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the leg physiotherapy control method.

[0163] The present invention also provides a wearable physiotherapy device, comprising: the above-mentioned control device, so as to implement the above-mentioned leg physiotherapy control method.

[0164] In some embodiments of the present invention, the wearable physiotherapy device further includes a multi-cavity airbag and a detection component disposed on the multi-cavity airbag;

[0165] The first detection area in the multi-chamber airbag is provided with a weight parameter detection component, which is connected to the above-mentioned control device and is used to detect the target weight parameter corresponding to the first target area of ​​the user's leg. The second detection area in the multi-chamber airbag is provided with a circumference data detection component, which is connected to the above-mentioned control device and is used to detect the target circumference data corresponding to the second target area of ​​the user's leg.

[0166] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0167] In addition, although each operation is described in a specific order, this should be understood as requiring such operation to be performed in the specific order shown or in a sequential order, or requiring that all illustrated operations should be performed to obtain desired results. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single implementation in combination. On the contrary, the various features described in the context of a single implementation can also be implemented in multiple implementations individually or in any suitable sub-combination mode.

[0168] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A leg physiotherapy control method, characterized in that: The leg physiotherapy control method comprises: In response to a preset instruction of the user, a target weight parameter corresponding to a first target area of ​​the user's leg and target circumference data corresponding to a second target area of ​​the user's leg are collected; Determining basic control parameters of the multi-chamber airbag according to the target circumference data; determining a first posture compensation parameter of the multi-chamber airbag according to the target weight parameter; generating target control parameters of the multi-cavity airbag according to the basic control parameters of the cavity airbag and the first posture compensation parameters; Monitor whether the user's current posture has changed according to the target weight parameters and target circumference data corresponding to the user's legs within a preset time period; If the user's current posture changes, determining a second posture compensation parameter of the multi-chamber airbag according to the user's current target weight parameter; Updating the target control parameter according to the basic control parameter of the multi-chamber airbag and the second posture compensation parameter; Wherein, monitoring whether the user's posture changes according to the target weight parameter and target circumference data corresponding to the user's legs within the preset time period includes: Generate weight change trend information according to the real-time target weight parameter corresponding to the first target area of ​​the user's leg within a preset time period, and generate circumference change trend information according to the real-time target circumference data corresponding to the second target area of ​​the user's leg within a preset time period; Whether the user's posture has changed is determined based on the weight change trend information and the circumference change trend information.

2. The leg physiotherapy control method according to claim 1, characterized in that: The target control parameters include target maximum bearing pressure, kneading cycle, and kneading strength ratio.

3. The leg physiotherapy control method according to claim 1, characterized in that: The target weight parameters include weight parameters of the rear heel area, weight parameters of the sole area, weight parameters of the rear knee area, and weight parameters of the inner thigh area; and / or The target circumference data include the circumference of the ankle, the circumference of the calf muscle, the circumference of the knee bone, and the circumference of the thigh muscle.

4. The leg physiotherapy control method according to claim 1, characterized in that: The user's current posture includes any one of standing, sitting or lying.

5. The leg physiotherapy control method according to claim 4, characterized in that: The step of monitoring whether the user's posture changes according to the target weight parameter and target circumference data corresponding to the user's legs within a preset time period includes: Obtaining a weight parameter database according to the real-time target weight parameter corresponding to the first target area of ​​the user's leg within a preset time period, and obtaining a circumference database according to the real-time target circumference data corresponding to the second target area of ​​the user's leg within a preset time period; generating weight change trend information according to the weight parameter database, and generating girth change trend information according to the girth database; Whether the user's posture has changed is determined based on the weight change trend information and the circumference change trend information.

6. The leg physiotherapy control method according to claim 5, characterized in that: The step of judging whether the user posture has changed according to the weight change trend information and the circumference change trend information comprises: Performing time series analysis on the weight change trend information and the girth change trend information within a preset time period to obtain time series features; Whether the user posture changes is determined according to the time series characteristics.

7. A leg therapy control device, characterized in that: The leg therapy control device comprises: A data collection module: used to collect target weight parameters corresponding to the first target area of ​​the user's leg and target circumference data corresponding to the second target area of ​​the user's leg in response to a preset instruction of the user; Target control parameter generation module: used to determine the basic control parameters of the multi-chamber airbag according to the target circumference data; determining a first posture compensation parameter of the multi-chamber airbag according to the target weight parameter; generating target control parameters of the multi-cavity airbag according to the basic control parameters of the cavity airbag and the first posture compensation parameters; Update module: used to monitor whether the user's current posture changes according to the target weight parameters and target circumference data corresponding to the user's legs within a preset time period; If the user's current posture changes, a second posture compensation parameter of the multi-chamber airbag is determined according to the user's current target weight parameter; updating the target control parameter according to the basic control parameter of the multi-chamber airbag and the second posture compensation parameter; Wherein, monitoring whether the user's posture changes according to the target weight parameter and target circumference data corresponding to the user's legs within the preset time period includes: Generate weight change trend information according to the real-time target weight parameter corresponding to the first target area of ​​the user's leg within a preset time period, and generate circumference change trend information according to the real-time target circumference data corresponding to the second target area of ​​the user's leg within a preset time period; Whether the user's posture has changed is determined based on the weight change trend information and the circumference change trend information.

8. A control device, comprising a memory and at least one processor, wherein instructions are stored in the memory, and the memory and the at least one processor are interconnected via a line; The at least one processor calls the instructions in the memory to implement the leg physiotherapy control method as described in any one of claims 1-6.

9. A readable storage medium having program data stored thereon, characterized in that: When the program data is executed by a processor, the leg physiotherapy control method as described in any one of claims 1 to 6 is implemented.

10. A wearable physical therapy device, characterized in that: include: The control device as claimed in claim 8.

11. The wearable physical therapy device according to claim 10, characterized in that: include: It also includes a multi-chamber airbag and a detection component arranged on the multi-chamber airbag; the first detection area in the multi-chamber airbag is provided with a weight parameter detection component, and the weight parameter detection component is connected to the control device and is used to detect the target weight parameter corresponding to the first target area of ​​the user's leg; the second detection area in the multi-chamber airbag is provided with a circumference data detection component, and the circumference data detection component is connected to the control device and is used to detect the target circumference data corresponding to the second target area of ​​the user's leg.

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