Control method of device for preventing lower limb deep venous thrombosis based on infrared detection

Abstract

The invention provides a control method of a device for preventing deep venous thrombosis of lower limbs based on infrared detection, and relates to the technical field of medical instrument control. Tissue oxygen saturation and blood flow velocity of at least one monitoring point of the lower limbs of a target user are obtained through a near-infrared sensor; according to the tissue oxygen saturation and the blood flow velocity of the at least one monitoring site, determining the lower limb deep vein thrombosis risk level of the target user; determining intervention parameters of the target user according to the lower limb deep vein thrombosis risk level of the target user, wherein the intervention parameters comprise a dorsiflexion angle, a dorsiflexion frequency, a plantar flexion angle, a plantar flexion frequency and movement duration of an ankle joint; and controlling the lower limb deep vein thrombosis prevention device worn by the target user according to the intervention parameters of the target user. According to the method, the intervention parameters of the device for preventing the deep venous thrombosis of the lower limbs can be dynamically adjusted, so that the defects of the existing device for preventing the deep venous thrombosis of the lower limbs in adaptability, scene coverage and intervention effect are overcome.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical device control, and in particular to a control method of a device for preventing deep vein thrombosis of lower limbs based on infrared detection. BACKGROUND

[0002] Patients in bed for a long time due to diseases such as stroke and craniocerebral trauma often have an increased risk of deep vein thrombosis (DVT) of lower limbs due to limited activity of lower limbs. Blood flow in lower limbs is slow and blood is accumulated in bed, and the probability of thrombosis is significantly increased, which may even cause fatal complications such as pulmonary embolism. Therefore, ankle rehabilitation training and thrombosis prevention for such patients are particularly urgent.

[0003] In the field of prevention of deep vein thrombosis of lower limbs, the traditional intervention means has the problem of disconnection between monitoring and intervention. The device for preventing deep vein thrombosis of lower limbs (such as ankle pump trainer, pneumatic therapy equipment, etc.) can only provide passive joint activity, and the parameter setting is based on general standards, which cannot be adjusted according to the physiological state of individual patients. For patients with high blood flow resistance and severe accumulation, it may be difficult to achieve the prevention effect due to the low intervention intensity, and for patients with fragile blood vessels, it may cause damage due to the high intervention intensity. Therefore, this completely passive control method cannot adapt to the individual differences and state changes of different patients, which limits the prevention effect and cannot meet the user's use demand in different use scenarios.

[0004] Therefore, there is an urgent need for a control method of a device for preventing deep vein thrombosis of lower limbs, which can dynamically adjust the intervention parameters of the device for preventing deep vein thrombosis of lower limbs to solve the deficiencies of existing devices for preventing deep vein thrombosis of lower limbs in adaptability, scene coverage and intervention effect. SUMMARY

[0005] The embodiments of the present application provide a control method of a device for preventing deep vein thrombosis of lower limbs based on infrared detection, which can dynamically adjust the intervention parameters of the device for preventing deep vein thrombosis of lower limbs to solve the deficiencies of existing devices for preventing deep vein thrombosis of lower limbs in adaptability, scene coverage and intervention effect.

[0006] To achieve the above-mentioned purpose, the embodiments of the present application adopt the following technical solutions: In a first aspect, a control method of a deep vein thrombosis prevention device based on infrared detection is provided, the method comprising: acquiring, by a near-infrared sensor, tissue oxygen saturation and blood flow velocity of at least one monitoring point of a lower limb of a target user; determining a deep vein thrombosis risk level of the lower limb of the target user according to the tissue oxygen saturation and the blood flow velocity of the at least one monitoring point; the deep vein thrombosis risk level comprising a critical level, a high level, a middle level and a low level; determining an intervention parameter of the target user according to the deep vein thrombosis risk level of the lower limb of the target user, the intervention parameter comprising a dorsiflexion angle, a dorsiflexion frequency, a plantar flexion angle, a plantar flexion frequency and a movement duration of an ankle joint; and controlling a deep vein thrombosis prevention device worn by the target user according to the intervention parameter of the target user, the deep vein thrombosis prevention device comprising an ankle joint training instrument, so that the target user performs dorsiflexion movement at the dorsiflexion angle and the dorsiflexion frequency and performs plantar flexion movement at the plantar flexion angle and the plantar flexion frequency by wearing the ankle joint training instrument.

[0007] The method provided by the present application can dynamically adjust the intervention parameter of the deep vein thrombosis prevention device, so as to solve the problems of the existing deep vein thrombosis prevention device in terms of adaptability, scene coverage and intervention effect.

[0008] In a possible implementation manner of the first aspect, in a case where the tissue oxygen saturation is greater than or equal to 70% and the blood flow velocity is greater than a first threshold value, the deep vein thrombosis risk level of the lower limb of the target user is determined as the low level; in a case where the tissue oxygen saturation is greater than or equal to 60% and less than 70%, or the blood flow velocity is less than or equal to the first threshold value and greater than a second threshold value, the deep vein thrombosis risk level of the lower limb of the target user is determined as the middle level; in a case where the tissue oxygen saturation is greater than or equal to 50% and less than 60%, or the blood flow velocity is less than or equal to the second threshold value and greater than a third threshold value, the deep vein thrombosis risk level of the lower limb of the target user is determined as the high level; and in a case where the tissue oxygen saturation is less than 50%, or the blood flow velocity is less than or equal to the third threshold value, the deep vein thrombosis risk level of the lower limb of the target user is determined as the critical level.

[0009] The method provided by the present application divides the risk level according to the threshold values of the tissue oxygen saturation and the blood flow velocity, and provides an objective and quantitative standard for thrombosis risk assessment. The high-risk users can be identified in time, and the low-risk users are not intervened excessively, so that the consistency and reliability of risk assessment are improved.

[0010] In a possible implementation manner of the first aspect, the intervention parameter of the target user is determined according to the risk level of deep vein thrombosis of the lower limb of the target user, including: in the case that the risk level of deep vein thrombosis of the lower limb of the target user is low, the dorsiflexion angle of the target user is determined as 15-20°, the dorsiflexion frequency is 5 times per minute, the plantar flexion angle is 30-45°, the plantar flexion frequency is 5 times per minute, and the passive movement is continued for 5 minutes every 30 minutes; in the case that the risk level of deep vein thrombosis of the lower limb of the target user is medium, the dorsiflexion angle of the target user is determined as 15-20°, the dorsiflexion frequency is 5 times per minute, the plantar flexion angle is 30-45°, the plantar flexion frequency is 5 times per minute, and the passive movement is continued for 8 minutes every 20 minutes; in the case that the risk level of deep vein thrombosis of the lower limb of the target user is high, the dorsiflexion angle of the target user is determined as 15-20°, the dorsiflexion frequency is 5 times per minute, the plantar flexion angle is 30-45°, the plantar flexion frequency is 5 times per minute, and the passive movement is continued for 10 minutes every 15 minutes; in the case that the risk level of deep vein thrombosis of the lower limb of the target user is critical, the dorsiflexion angle of the target user is determined as 0°, the dorsiflexion frequency is 0 times per minute, and the prevention device for deep vein thrombosis of the lower limb is stopped.

[0011] The method provided by the application sets differentiated dorsiflexion angles and frequencies according to risk levels, and realizes precise adaptation of intervention intensity to risk states. When the risk is low, the calf muscle pump function is fully activated through appropriate ankle movement, and the venous blood return is accelerated; when the risk is medium and high, the movement intensity is further enhanced, and then the basic circulation of the target user is improved, so as to reduce the risk level; when the risk is critical, the movement is stopped, so as to prevent thrombus shedding caused by mechanical stimulation. The grading adjustment mechanism balances the effectiveness and safety of intervention, and can adapt to the use demand in different risk stages.

[0012] In a possible implementation manner of the first aspect, the monitoring points include the medial gastrocnemius and the distal rectus femoris; the method further includes: determining a difference value of the tissue oxygen saturation of the medial gastrocnemius and the tissue oxygen saturation of the distal rectus femoris, and the difference value is used to represent the trans-regional blood oxygen gradient of the target user; in the case that the difference value is greater than a tissue oxygen saturation threshold value, the dorsiflexion angle of the target user is determined as 15-20°, the dorsiflexion frequency is 5 times per minute, the plantar flexion angle is 30-45°, the plantar flexion frequency is 5 times per minute, and the passive movement is continued for 10 minutes every 15 minutes.

[0013] The method provided by the application can compensate for the limitation of single-site monitoring by monitoring the difference between the tissue oxygen saturation of the medial gastrocnemius and the distal quadriceps femoris and adjusting the intervention parameters accordingly. The trans-regional blood oxygen gradient can reflect the local circulation differences of different muscle groups in the lower limbs. When the difference exceeds the threshold value, it indicates that there may be microcirculation disorders in the local area, and such abnormalities may be masked by overall blood oxygen indicators. At this time, the dorsiflexion angle is 15-20°, the dorsiflexion frequency is 5 times / minute, the plantar flexion angle is 30-45°, and the plantar flexion frequency is 5 times / minute. Every 15 minutes, 10 minutes of passive movement can be used to improve the local blood flow through high-frequency small-amplitude movement, avoid aggravating local stasis, make the preventive intervention more accurately target the problem area, improve the identification and processing capacity of early local circulation abnormalities, and effectively improve the initiative and safety of using the deep vein thrombosis prevention device of the lower limb.

[0014] In a possible implementation form of the first aspect, the method further includes: in the case that the risk level of deep vein thrombosis of the lower limb of the target user is critical, generating an alarm information, the alarm information being used to prompt that the risk level of deep vein thrombosis of the lower limb of the target user is critical.

[0015] The method provided by the application generates an alarm information when the risk level of deep vein thrombosis of the lower limb is critical, which can trigger a response mechanism in time. The critical level means that the possibility of thrombosis is extremely high, and if it is not intervened in time, it may lead to serious consequences such as pulmonary embolism. The alarm information can quickly prompt the operator to take further measures, especially for people who are inconvenient to move and have weak perception. This active reminder function makes up for the defect that they cannot judge the risk independently, and gains valuable intervention time for critical situations, reducing the probability of dangerous events.

[0016] In a possible implementation form of the first aspect, before determining the risk level of deep vein thrombosis of the lower limb of the target user according to the tissue oxygen saturation and blood flow velocity of at least one monitoring point, the method further includes: acquiring muscle pressure distribution data of at least one monitoring point of the lower limb of the target user through a flexible pressure sensor array; and determining an evaluation index according to the muscle pressure distribution data and the tissue oxygen saturation. The determination formula of the evaluation index PSOI is: ; wherein P1 is the difference between the current pressure and the reference pressure, P2 is the reference pressure, S1 is the difference between the current tissue oxygen saturation and the reference tissue oxygen saturation, S2 is the reference tissue oxygen saturation, and is a weight coefficient.

[0017] The method for determining the risk level of deep vein thrombosis of the lower limbs of the target user according to the tissue oxygen saturation and the blood flow velocity of at least one monitoring point comprises the following steps: in the case that the evaluation index is less than or equal to 0.3 and the blood flow velocity is greater than a first threshold value, determining that the risk level of deep vein thrombosis of the lower limbs of the target user is low; in the case that the evaluation index is greater than 0.3 and less than or equal to 0.5, or the blood flow velocity is less than or equal to the first threshold value and greater than a second threshold value, determining that the risk level of deep vein thrombosis of the lower limbs of the target user is medium; in the case that the evaluation index is greater than 0.5 and less than or equal to 0.7, or the blood flow velocity is less than or equal to the second threshold value and greater than a third threshold value, determining that the risk level of deep vein thrombosis of the lower limbs of the target user is high; and in the case that the evaluation index is greater than 0.7 or the blood flow velocity is less than or equal to the third threshold value, determining that the risk level of deep vein thrombosis of the lower limbs of the target user is critical.

[0018] The method provided by the application introduces muscle pressure distribution data and calculates an evaluation index PSOI in combination with tissue oxygen saturation, which can effectively increase the dimension of risk level evaluation and improve the accuracy of risk level.

[0019] In a possible implementation manner of the first aspect, the method further comprises: in the case that any pressure value included in the muscle pressure distribution data is greater than a preset pressure value threshold, determining that the risk level of deep vein thrombosis of the lower limbs of the target user is critical.

[0020] The method provided by the application directly determines the critical level when any pressure value in the muscle pressure distribution data exceeds a preset threshold, which strengthens the rapid response to the risk of thrombosis caused by acute compression. High local pressure directly hinders venous return and is an acute inducement of thrombosis. In this case, there may be a serious risk when the blood oxygen and blood flow indicators have not yet changed significantly. Through the hard determination of the pressure threshold, the critical situation can be directly identified, ensuring emergency intervention for the risk of thrombosis caused by acute compression, making up for the possible lag of other indicators, avoiding dangerous events, and thus improving safety and reliability.

[0021] In a possible implementation manner of the first aspect, the muscle pressure distribution data comprises pressure values of at least one monitoring point of the left lower limb and the right lower limb of the target user; the method further comprises: determining a muscle activation balance index of the target user according to the pressure values of the at least one monitoring point of the left lower limb and the right lower limb of the target user; in a case where the muscle activation balance index of the target user is less than a preset muscle activation balance index threshold, determining that a lower limb with a smaller pressure value of the at least one monitoring point of the left lower limb and the right lower limb of the target user is a low activation side, and determining that a lower limb with a larger pressure value of the at least one monitoring point of the left lower limb and the right lower limb of the target user is a high activation side; increasing a dorsiflexion frequency and a plantar flexion frequency of the low activation side, and decreasing a dorsiflexion frequency and a plantar flexion frequency of the high activation side. muscle activation balance index The determination formula is as follows: wherein L1 is an average pressure value of the at least one monitoring point of the left lower limb of the target user, and R1 is an average pressure value of the at least one monitoring point of the right lower limb of the target user.

[0022] The method provided by the application can solve the problem of unbalanced circulation of the left and right lower limbs by determining a muscle activation balance index of the left and right lower limbs and adjusting the dorsiflexion frequency of the left and right lower limbs. The muscle activation balance index reflects the difference in movement ability of the left and right lower limbs, and when the index is lower than a threshold value, the low activation side is more prone to venous stasis due to insufficient movement. Increasing the dorsiflexion frequency and the plantar flexion frequency of the low activation side can enhance the muscle pump function thereof, and decreasing the dorsiflexion frequency and the plantar flexion frequency of the high activation side can avoid fatigue caused by excessive movement. This asymmetric adjustment can improve the circulation state of the weak side, and is especially suitable for patients with hemiplegia, postoperative unilateral activity limitation and the like. By balancing the intervention intensity of the left and right sides, the risk of unilateral thrombosis is reduced, and the overall prevention effect is improved.

[0023] ​In a second aspect, the present application provides a control system of a device for preventing deep vein thrombosis of lower limbs based on infrared detection, the system comprising: a data acquisition module configured to acquire tissue oxygen saturation and blood flow velocity of at least one monitoring point of a lower limb of a target user through a near-infrared sensor; a grade determination module configured to determine a deep vein thrombosis risk grade of the lower limb of the target user according to the tissue oxygen saturation and the blood flow velocity of the at least one monitoring point; the deep vein thrombosis risk grade comprises a critical grade, a high grade, a middle grade and a low grade; a parameter determination module configured to determine an intervention parameter of the target user according to the deep vein thrombosis risk grade of the lower limb of the target user, the intervention parameter comprising a dorsiflexion angle, a dorsiflexion frequency, a plantar flexion angle, a plantar flexion frequency and a movement duration; and a device control module configured to control a device for preventing deep vein thrombosis of lower limbs worn by the target user according to the intervention parameter of the target user, the device for preventing deep vein thrombosis of lower limbs comprising an ankle joint training instrument, so that the target user performs dorsiflexion movement at the dorsiflexion angle and the dorsiflexion frequency and performs plantar flexion movement at the plantar flexion angle and the plantar flexion frequency through the ankle joint training instrument worn by the target user.

[0024] In a third aspect, an electronic device is provided, the electronic device comprising a memory and one or more processors; the memory is coupled to the processor; and the memory stores computer program codes comprising computer instructions, which, when executed by the processor, cause the electronic device to perform the method in any implementation manner of the first aspect.

[0025] In a fourth aspect, a computer-readable storage medium is provided, which stores computer instructions, which, when executed on an electronic device, cause the electronic device to perform the method in any implementation manner of the first aspect.

[0026] In a fifth aspect, a computer program product is provided, which, when executed on a computer, causes the computer to perform the method in any implementation manner of the first aspect.

[0027] It can be understood that the system of the second aspect, the electronic device of the third aspect, the computer-readable storage medium of the fourth aspect, and the computer program product of the fifth aspect provided above can achieve the beneficial effects as described in the first aspect and any possible design manner thereof, which will not be described here. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 A structural schematic diagram of an electronic device provided by an embodiment of the present application; Figure 2 A flowchart of a control method of a device for preventing deep vein thrombosis of lower limbs based on infrared detection provided by an embodiment of the present application; Figure 3A flow chart of another control method of the device for preventing deep vein thrombosis of lower limbs based on infrared detection provided by the embodiment of the present application is shown in FIG. 6. Figure 4 A structural schematic diagram of a control system provided by the embodiment of the present application is shown in FIG. 5. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings. In the description of the present application, unless otherwise specified, " / " represents an "or" relationship between the objects before and after the " / " symbol, for example, A / B can represent A or B; in the present application, "or" is only a description of the relationship between the objects, and can represent three relationships, for example, A or B, which can represent three cases: A exists alone, A and B exist together, and B exists alone, where A and B can be singular or plural. In addition, in the description of the present application, unless otherwise specified, "multiple" means two or more than two. "At least one of the following" or similar expressions means any combination of these items, including any combination of single item or multiple items.

[0030] In addition, in order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, "first", "second", etc. are used to distinguish the same items or similar items with basically the same function and effect. Those skilled in the art can understand that "first", "second", etc. do not limit the quantity and execution order, and "first", "second", etc. do not necessarily mean different.

[0031] Meanwhile, in the embodiments of the present application, "exemplary" or "for example" is used to represent as an example, illustration or description. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as more excellent or more advantageous than other embodiments or design schemes. Rather, "exemplary" or "for example" is used to present the relevant concept in a specific manner, and is convenient for understanding.

[0032] Long-term bedridden patients caused by diseases such as stroke and craniocerebral trauma often have an increased risk of deep vein thrombosis (DVT) of lower limbs due to limited activity of lower limbs. The blood flow in lower limbs is slow and blood is accumulated under the bedridden state, and the probability of thrombosis is significantly increased, and even fatal complications such as pulmonary embolism can be caused. Therefore, the ankle rehabilitation training and thrombus prevention demand for such patients are particularly urgent.

[0033] In the field of lower extremity thrombus prevention, the traditional intervention means has the problem of disconnection between monitoring and intervention. The prevention of lower extremity deep vein thrombosis device (such as ankle pump trainer, air pressure treatment and other equipment) can only provide passive joint activity, and the parameter setting is based on general standard, which cannot be adjusted according to the physiological state of the individual patient. For patients with high blood flow resistance and severe stasis, it may be difficult to achieve the prevention effect due to the low intervention intensity, and for patients with fragile blood vessels, it may cause injury due to the high intervention intensity. Therefore, such a completely passive control method cannot adapt to the individual differences and state changes of different patients, resulting in limited prevention effect and unable to meet the user's use demand in different use scenarios.

[0034] Therefore, there is an urgent need for a control method of a deep vein thrombosis prevention device, which can dynamically adjust the intervention parameters of the deep vein thrombosis prevention device to solve the problems of the existing deep vein thrombosis prevention device in adaptability, scene coverage and intervention effect.

[0035] In view of this, the embodiments of the present application provide a control method of a deep vein thrombosis prevention device based on infrared detection, which comprises: acquiring the tissue oxygen saturation and blood flow velocity of at least one monitoring point of the lower extremity of a target user through a near-infrared sensor; determining the deep vein thrombosis risk level of the lower extremity of the target user according to the tissue oxygen saturation and blood flow velocity of the at least one monitoring point; the deep vein thrombosis risk level includes critical, high, medium and low levels; determining the intervention parameters of the target user according to the deep vein thrombosis risk level of the lower extremity of the target user, the intervention parameters including the dorsiflexion angle, dorsiflexion frequency, plantar flexion angle, plantar flexion frequency and movement time of the ankle joint; controlling the deep vein thrombosis prevention device worn by the target user according to the intervention parameters of the target user, the deep vein thrombosis prevention device including an ankle joint training instrument, so that the target user performs dorsiflexion movement with the dorsiflexion angle and dorsiflexion frequency and plantar flexion movement with the plantar flexion angle and plantar flexion frequency through the ankle joint training instrument worn.

[0036] The method provided by the present application acquires the tissue oxygen saturation and blood flow velocity of the lower extremity in real time through the near-infrared sensor, determines the thrombosis risk level and matches the dorsiflexion angle and frequency of the ankle joint training instrument, and dynamically adjusts the intervention parameters according to the risk level, which can ensure that the appropriate dorsiflexion movement promotes venous return when the risk is low, and the device is stopped in time to avoid the risk of thrombus detachment when the risk is high, especially suitable for use in high-risk scenarios such as postoperative bed rest and long sitting, effectively improving the initiative and safety of using the deep vein thrombosis prevention device. The method provided by the present application can dynamically adjust the intervention parameters of the deep vein thrombosis prevention device to solve the problems of the existing deep vein thrombosis prevention device in adaptability, scene coverage and intervention effect.

[0037] In some embodiments, the control method of the device for preventing deep vein thrombosis of lower limbs based on infrared detection can be executed by a control system 100 (hereinafter referred to as the control system 100) of the device for preventing deep vein thrombosis of lower limbs based on infrared detection.

[0038] As an example, the control system 100 can be any electronic device 200 with data processing capability, such as a general-purpose computer, a personal computer, a notebook computer, a switch or a tablet computer, etc. The specific implementation of the control system 100 is not limited here.

[0039] Figure 1 A hardware structure schematic diagram of the electronic device provided by the embodiments of the present application is shown. The electronic device 200 includes a processor 210, a memory 220 and a communication interface 230.

[0040] The processor 210 can include one or more processing cores. The processor 210 connects various parts in the electronic device 200 through various interfaces and lines, executes various functions of the electronic device 200 and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 220, and calling data stored in the memory 220. Optionally, the processor 210 can be implemented in at least one of the following hardware forms: a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP), a field-programmable gate array (FPGA) and a programmable logic array (PLA).

[0041] The memory 220 can include a random access memory (RAM) and can also include a read-only memory (ROM). Optionally, the memory 220 includes a non-transitory computer-readable storage medium. The memory 220 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 220 can include a program storage area. The program storage area can store instructions for implementing an operating system, instructions for implementing at least one function (such as a data acquisition function, a parameter determination function and a device control function, etc.), instructions for implementing each of the above-mentioned method embodiments, etc.

[0042] The communication interface 230 is configured to communicate with other devices, apparatuses or communication networks, such as data storage devices, image processing apparatuses or Ethernet, Radio Access Network (RAN), wireless local area networks (WLAN) and the like.

[0043] In physical implementation, the above-mentioned devices (such as the processor 210, the memory 220 and the communication interface 230) can be devices in the same apparatus (such as a notebook computer) respectively. Alternatively, at least two of the devices can be arranged in the same apparatus as different devices in the apparatus, similar to the deployment of devices or components in a distributed system.

[0044] It can be understood that the structure illustrated in the embodiment does not constitute a specific limitation on the electronic device 200. In other embodiments of the present application, the electronic device 200 can include more or fewer components than those illustrated, or combine certain components, or split certain components, or different arrangement of components. The illustrated components can be implemented in hardware, software or a combination of software and hardware.

[0045] The control method of the device for preventing deep vein thrombosis of lower limbs based on infrared detection provided by the embodiment of the present application is described below in combination with the accompanying drawings of the specification.

[0046] Figure 2 The flow chart of the control method of the device for preventing deep vein thrombosis of lower limbs based on infrared detection provided by the embodiment of the present application is shown. Optionally, the method can be executed by the electronic device 200 shown. Figure 1 The method can include the following steps: S1, obtaining the tissue oxygen saturation and blood flow velocity of at least one monitoring point of the lower limbs of a target user by a near-infrared sensor.

[0047] Specifically, the near-infrared sensor transmits a plurality of groups of specific wavelength infrared light in the 700-900 nm band to penetrate the skin and subcutaneous tissue of the lower limbs of the target user, and accurately act on the muscle tissue of the monitoring points such as the medial gastrocnemius muscle and the distal quadriceps muscle. The infrared light in this band can effectively distinguish the light absorption characteristics of oxygenated myoglobin, deoxygenated myoglobin in muscle tissue, and oxygenated hemoglobin, deoxygenated hemoglobin in blood. Among them, 805 nm is the equal absorption point, 730 nm and 850 nm are sensitive to deoxygenated hemoglobin and oxygenated hemoglobin respectively. By comparing and analyzing the multi-wavelength light absorption signals, the interference of blood components on muscle tissue oxygen supply monitoring can be excluded, and the oxygenation state of muscle cells can be focused. The near-infrared sensor receives the reflected light signal scattered and absorbed by the tissue, calculates the attenuation degree of the light signal of different wavelengths through the Lambert-Beer law, establishes a tissue oxygen saturation calculation model combined with the optical properties of the tissue, and finally outputs the oxygen saturation of the muscle tissue at the monitoring point. The tissue oxygen saturation is used to represent the actual oxygen supply level of the muscle tissue of the lower limbs of the target user, and provides a core physiological index basis for subsequent determination of the risk level of deep vein thrombosis of the lower limbs.

[0048] At the same time, the light signal fluctuation caused by the movement of red blood cells is detected by dynamic light scattering analysis (DCS) to obtain the blood flow velocity of the target user.

[0049] It should be noted that the control system can also obtain the tissue oxygen saturation and blood flow velocity of at least one monitoring point of the lower limbs of the target user through other ways. The above examples are only for explanation and the embodiments of the present application do not make special limitations thereto.

[0050] S2, determining the risk level of deep vein thrombosis of the lower limbs of the target user according to the tissue oxygen saturation and blood flow velocity of at least one monitoring point.

[0051] Among them, the risk level of deep vein thrombosis of the lower limbs includes critical level, high level, medium level and low level; In some embodiments, S2 described above comprises: In the case that the tissue oxygen saturation is greater than or equal to 70% and the blood flow velocity is greater than the first threshold value, the risk level of deep vein thrombosis of the lower limbs of the target user is determined to be low level; In the case that the tissue oxygen saturation is greater than or equal to 60% and less than 70%, or the blood flow velocity is less than or equal to the first threshold value and greater than the second threshold value, the risk level of deep vein thrombosis of the lower limbs of the target user is determined to be medium level; In the case that the tissue oxygen saturation is greater than or equal to 50% and less than 60%, or the blood flow velocity is less than or equal to the second threshold value and greater than the third threshold value, the risk level of deep vein thrombosis of the lower limbs of the target user is determined to be high level; In a case that the tissue oxygen saturation is less than 50% or the blood flow velocity is less than or equal to the third threshold value, the control system determines that the target user has a critical level of deep vein thrombosis risk of lower limbs.

[0052] In one example, the first threshold value is 25 cm / s, the second threshold value is 15 cm / s, and the third threshold value is 10 cm / s. The tissue oxygen saturation of the medial gastrocnemius of user A is 72%, and the blood flow velocity is 28 cm / s. The control system determines that user A has a low level of deep vein thrombosis risk of lower limbs. The tissue oxygen saturation of the medial gastrocnemius of user A is 63%, and the blood flow velocity is 20 cm / s. The control system determines that user B has a medium level of deep vein thrombosis risk of lower limbs. The tissue oxygen saturation of the medial gastrocnemius of user C is 46%, and the blood flow velocity is 8 cm / s. The control system determines that user C has a high level of deep vein thrombosis risk of lower limbs.

[0053] In another example, the first threshold value is 0.9x, the second threshold value is 0.7x, and the third threshold value is 0.45x, where x is a preset reference value of the blood flow velocity of the target user. It should be understood that the first threshold value, the second threshold value, and the third threshold value can be flexibly set according to actual scenarios, and embodiments of the present application do not make special limitations thereon.

[0054] The method provided by the present application divides the risk level by the threshold values of the tissue oxygen saturation and the blood flow velocity, and provides an objective and quantitative standard for thrombosis risk assessment. The high-risk users can be identified in time, and the over-intervention on the low-risk users is avoided, thereby improving the consistency and reliability of risk assessment.

[0055] In some embodiments, referring to Figure 3 Before S2, the method provided by the embodiments of the present application further includes: S31, acquiring muscle pressure distribution data of at least one monitoring point of lower limbs of the target user by the flexible pressure sensor array.

[0056] Specifically, the muscle pressure distribution data includes a plurality of muscle pressure values (hereinafter referred to as pressure) acquired by the flexible pressure sensor array.

[0057] S32, determining an evaluation index according to the muscle pressure distribution data and the tissue oxygen saturation.

[0058] The determination formula of the evaluation index PSOI is: ; wherein P1 is the difference between the current pressure and the reference pressure, P2 is the reference pressure, S1 is the difference between the current tissue oxygen saturation and the reference tissue oxygen saturation, S2 is the reference tissue oxygen saturation, and is a weight coefficient.

[0059] Further, S2 above includes: S33, in the case that the evaluation index is less than or equal to 0.3 and the blood flow velocity is greater than the first threshold value, determining that the risk level of deep vein thrombosis of the lower limb of the target user is low; S34, in the case that the evaluation index is greater than 0.3 and less than or equal to 0.5, or the blood flow velocity is less than or equal to the first threshold value and greater than the second threshold value, determining that the risk level of deep vein thrombosis of the lower limb of the target user is medium; S35, in the case that the evaluation index is greater than 0.5 and less than or equal to 0.7, or the blood flow velocity is less than or equal to the second threshold value and greater than the third threshold value, determining that the risk level of deep vein thrombosis of the lower limb of the target user is high; S36, in the case that the evaluation index is greater than 0.7, or the blood flow velocity is less than or equal to the third threshold value, determining that the risk level of deep vein thrombosis of the lower limb of the target user is critical.

[0060] In combination with the above example, the blood flow velocity of the user D is 26 cm / s, the evaluation index of the user D is less than or equal to 0.3, and in the case that the blood flow velocity is greater than the first threshold value, it is determined that the risk level of deep vein thrombosis of the lower limb of the target user is low.

[0061] As can be seen from the above, the method provided by the present application introduces muscle pressure distribution data and calculates the evaluation index PSOI in combination with tissue oxygen saturation, which can effectively increase the dimension of risk level evaluation and improve the accuracy of risk level. By dividing the risk level through PSOI and blood flow velocity, the risk assessment is more in line with the complex physiological state by avoiding the one-sidedness of relying on blood oxygen or blood flow indicators, and the scientificity and accuracy of the classification are improved.

[0062] In the case that the risk level of deep vein thrombosis of the lower limb of the target user is critical, an alarm information is generated, and the alarm information is used to prompt that the risk level of deep vein thrombosis of the lower limb of the target user is critical.

[0063] Illustratively, the preset pressure value threshold is 200 mmHg.

[0064] The method provided by the present application directly determines the critical level when any pressure value in the muscle pressure distribution data exceeds the preset threshold, which strengthens the rapid response to the risk of thrombosis caused by acute compression. High local pressure directly hinders venous return and is an acute inducement of thrombosis. In this case, there may be a serious risk when blood oxygen and blood flow indicators have not yet changed significantly. Through the hard determination of the pressure threshold, the critical situation can be directly identified to ensure emergency intervention for the risk of thrombosis caused by acute compression, making up for the possible lag of other indicators and avoiding dangerous events, thereby improving safety and reliability.

[0065] In a possible implementation, the method provided by the embodiment of the present application further includes: In the case that the risk level of the target user's lower limb deep vein thrombosis is critical, an alarm information is generated, and the alarm information is used to prompt that the risk level of the target user's lower limb deep vein thrombosis is critical.

[0066] The method provided by the present application generates an alarm information when the risk level of the lower limb deep vein thrombosis is critical, and can timely trigger a response mechanism. The critical level means that the possibility of thrombosis is extremely high, and if it is not intervened in time, it may lead to serious consequences such as pulmonary embolism. The alarm information can quickly prompt the operator to take further measures, especially for people who are inconvenient to move and have weak perception. This active reminder function makes up for the defect that they cannot judge the risk independently, and gains valuable intervention time for critical situations, reducing the probability of dangerous events.

[0067] S3, the risk level of the target user's lower limb deep vein thrombosis determines the intervention parameter of the target user, and the intervention parameter includes the dorsiflexion angle of the ankle joint, the dorsiflexion frequency, the plantar flexion angle, the plantar flexion frequency and the movement time.

[0068] In some embodiments, the above S3 includes: In the case that the risk level of the target user's lower limb deep vein thrombosis is low, the dorsiflexion angle of the target user is determined to be 15-20°, the dorsiflexion frequency is 5 times / minute, the plantar flexion angle is 30-45°, and the plantar flexion frequency is 5 times / minute, and the passive movement is continued for 5 minutes every 30 minutes; in the case that the risk level of the target user's lower limb deep vein thrombosis is medium, the dorsiflexion angle of the target user is determined to be 15-20°, the dorsiflexion frequency is 5 times / minute, the plantar flexion angle is 30-45°, and the plantar flexion frequency is 5 times / minute, and the passive movement is continued for 8 minutes every 20 minutes; in the case that the risk level of the target user's lower limb deep vein thrombosis is high, the dorsiflexion angle of the target user is determined to be 15-20°, the dorsiflexion frequency is 5 times / minute, the plantar flexion angle is 30-45°, and the plantar flexion frequency is 5 times / minute, and the passive movement is continued for 10 minutes every 15 minutes; in the case that the risk level of the target user's lower limb deep vein thrombosis is critical, the dorsiflexion angle of the target user is determined to be 0°, and the dorsiflexion frequency is 0 times / minute, so as to stop the work of the device for preventing lower limb deep vein thrombosis.

[0069] It should be noted that, in the case that the risk level of deep vein thrombosis of the lower limbs of the target user is low, the dorsiflexion angle is 15-20°, the dorsiflexion action period lasts for 2 seconds, the plantar flexion angle is 30-45°, the plantar flexion action period lasts for 2 seconds, the return relaxation period is 1 second, 5 times per minute, and the passive movement lasts for 5 minutes every 30 minutes, and the rest is 25 minutes. In the case that the risk level of deep vein thrombosis of the lower limbs of the target user is medium, the dorsiflexion angle is 15-20°, the dorsiflexion action period lasts for 2 seconds, the plantar flexion angle is 30-45°, the plantar flexion action period lasts for 2 seconds, the return relaxation period is 1 second, 5 times per minute, and the passive movement lasts for 8 minutes every 20 minutes, and the rest is 12 minutes; in the case that the risk level of deep vein thrombosis of the lower limbs of the target user is high, the dorsiflexion angle is 15-20°, the dorsiflexion action period lasts for 2 seconds, the plantar flexion angle is 30-45°, the plantar flexion action period lasts for 2 seconds, the return relaxation period is 1 second, 5 times per minute, and the passive movement lasts for 10 minutes every 15 minutes, and the rest is 5 minutes.

[0070] The method provided by the application sets differentiated dorsiflexion angles and frequencies according to risk levels, and realizes precise adaptation of intervention intensity to risk states. When the risk is low, the calf muscle pump function is fully activated through appropriate ankle movement, and the return of venous blood is accelerated; when the risk is medium and high, the movement intensity is further increased, and then the basic circulation of the target user is improved, so as to reduce the risk level; when the risk is critical, the movement is stopped to prevent thrombus shedding caused by mechanical stimulation. This grading adjustment mechanism balances the effectiveness and safety of intervention, and can adapt to the use needs of different risk stages.

[0071] It should be noted that, in the case that the risk level of deep vein thrombosis of the lower limbs of the target user is low, the dorsiflexion angle is 15-20°, the dorsiflexion action period lasts for 2 seconds, the plantar flexion angle is 30-45°, the plantar flexion action period lasts for 2 seconds, the return relaxation period is 1 second, 5 times per minute, and the passive movement lasts for 5 minutes every 30 minutes, and the rest is 25 minutes. In the case that the risk level of deep vein thrombosis of the lower limbs of the target user is medium, the dorsiflexion angle is 15-20°, the dorsiflexion action period lasts for 2 seconds, the plantar flexion angle is 30-45°, the plantar flexion action period lasts for 2 seconds, the return relaxation period is 1 second, 5 times per minute, and the passive movement lasts for 8 minutes every 20 minutes, and the rest is 12 minutes; in the case that the risk level of deep vein thrombosis of the lower limbs of the target user is high, the dorsiflexion angle is 15-20°, the dorsiflexion action period lasts for 2 seconds, the plantar flexion angle is 30-45°, the plantar flexion action period lasts for 2 seconds, the return relaxation period is 1 second, 5 times per minute, and the passive movement lasts for 10 minutes every 15 minutes, and the rest is 5 minutes.

[0072] S4, controlling the deep vein thrombosis prevention device worn by the target user according to the intervention parameters of the target user, the deep vein thrombosis prevention device comprising an ankle training instrument, so that the target user performs dorsiflexion movement at a dorsiflexion angle and a dorsiflexion frequency, and performs plantar flexion movement at a plantar flexion angle and a plantar flexion frequency through the ankle training instrument.

[0073] Specifically, the ankle training instrument can make the target user wearing the ankle training instrument perform dorsiflexion movement at a dorsiflexion angle and a dorsiflexion frequency, and perform plantar flexion movement at a plantar flexion angle and a plantar flexion frequency according to the instructions of the control system, so as to realize the movement of the ankle.

[0074] In one example, the ankle joint training device comprises: a boot body, a bottom plate, a middle plate and a foot plate; the bottom plate, the middle plate and the foot plate are arranged in the boot body, the inner cavity of the boot body is sequentially provided with the bottom plate, the middle plate and the foot plate from the boot sole to the direction away from the boot sole, and the foot plate is used for supporting the foot of the patient; a gas bag is further arranged between the middle plate and the foot plate, the gas bag is connected with a control box through a gas pipe, and the inflation and deflation of the gas bag are controlled through the control box; a support plate is further arranged between the bottom plate and the middle plate, and the support plate has a plurality of selectable angles. The bottom plate, the middle plate and the foot plate are connected through a connecting shaft at one end of the boot cylinder close to the boot body, and the end of the bottom plate away from the middle plate is connected with the boot sole; the foot plate is provided with an opening on the side close to the middle plate, which is used for allowing a push-pull dynamometer to extend into; a leg fixing belt is further arranged on the boot body, the leg fixing belt is arranged at the boot cylinder of the boot body, and is used for fixing the leg of the patient; a balance plate is arranged on the boot cylinder on the side away from the position of the toe in the direction perpendicular to the height of the boot body. The support plate comprises a first support plate, an arc-shaped plate and a second support plate which are sequentially connected, the distance between the first support plate and the second support plate gradually increases from the end connected with the arc-shaped plate to the direction away from the arc-shaped plate; the first support plate is connected with the bottom plate, and the second support plate is connected with the middle plate; the support plate is a 10-degree support plate or a 20-degree support plate.

[0075] The gas bag is arranged in a silica gel sleeve, two ends of the gas bag are respectively provided with a gas nozzle connected with the gas pipe, and two ends of the silica gel sleeve are respectively provided with holes for the gas nozzles to pass out; the gas nozzle close to the middle plate penetrates the middle plate and the second support plate; the gas nozzle away from the middle plate is connected with one side of the foot plate; and the end of the silica gel sleeve close to the connecting shaft is connected with the middle plate. A silica gel shoe body capable of covering the foot of the patient is arranged on the side of the foot plate away from the gas bag, and is used for accommodating the foot; a plurality of pairs of buckle belts are arranged on the side of the silica gel shoe body away from the foot plate, each pair of the buckle belts comprises a first buckle belt provided with a plurality of buckle hole and a second buckle belt, the first buckle belt and the second buckle belt are connected through a shoe buckle arranged in the buckle hole, and are used for fixing the foot.

[0076] The control box is provided with an inflation pump and a control circuit board, the gas pipe is connected with the inflation pump, and the inflation pump is connected with the control circuit board, and the inflation pump is controlled through the circuit board.

[0077] It should be noted that the above ankle joint training device is only an example, and the ankle joint training device can also be driven by a motor to realize the dorsiflexion movement and the plantar flexion movement of the user wearing the ankle joint training device. The embodiment of the present application can also adopt other devices capable of enabling the target user to perform the dorsiflexion movement at the dorsiflexion angle and the dorsiflexion frequency, and the present application does not particularly limit this.

[0078] From the above S1-S4, the method provided by the embodiment of the application can obtain the tissue oxygen saturation and blood flow velocity of the lower limbs in real time through the near-infrared sensor, determine the thrombus risk level, and match the dorsiflexion angle and frequency of the ankle joint training instrument. Meanwhile, the intervention parameters are dynamically adjusted according to the risk level, which can ensure that the venous return is promoted through appropriate dorsiflexion movement when the risk is low, and the device is stopped in time to avoid the risk of thrombus detachment when the risk is high. The method is especially suitable for the use scenarios of high-risk groups such as postoperative bed rest and long sitting, and effectively improves the initiative and safety of using the device for preventing deep venous thrombosis of the lower limbs. The method provided by the application can dynamically adjust the intervention parameters of the device for preventing deep venous thrombosis of the lower limbs, so as to solve the problems of the existing devices for preventing deep venous thrombosis of the lower limbs in terms of adaptability, scenario coverage, and intervention effect.

[0079] In a possible implementation, the monitoring points include the medial gastrocnemius and the distal quadriceps; the method provided by the embodiment of the application further includes: determining the difference between the tissue oxygen saturation of the medial gastrocnemius and the tissue oxygen saturation of the distal quadriceps, the difference being used to represent the cross-regional blood oxygen gradient of the target user; and in the case that the difference is greater than the tissue oxygen saturation threshold value, determining that the dorsiflexion angle of the target user is 15-20°, the dorsiflexion frequency is 5 times per minute, the plantar flexion angle is 30-45°, and the plantar flexion frequency is 5 times per minute, and continuously performing passive movement for 10 minutes every 15 minutes.

[0080] For example, the tissue oxygen saturation threshold value is 8%.

[0081] The method provided by the application can compensate for the limitations of single-site monitoring by monitoring the difference between the tissue oxygen saturation of the medial gastrocnemius and the tissue oxygen saturation of the distal quadriceps and adjusting the intervention parameters accordingly. The cross-regional blood oxygen gradient can reflect the local circulation difference of different muscle groups of the lower limbs. When the difference exceeds the threshold value, it indicates that there may be microcirculation disorders in the local area, and such abnormalities may be masked by the overall blood oxygen indicators. At this time, the dorsiflexion angle is set to 15-20°, the dorsiflexion frequency is 5 times per minute, the plantar flexion angle is 30-45°, and the plantar flexion frequency is 5 times per minute, and passive movement is continuously performed for 10 minutes every 15 minutes, which can improve the local blood flow through high-frequency small-amplitude movement, avoid the aggravation of local stasis, and make the prevention intervention more accurately target the problem area, thereby improving the identification and processing capability of early local circulation abnormalities and effectively improving the initiative and safety of using the device for preventing deep venous thrombosis of the lower limbs.

[0082] In another possible implementation, the muscle pressure distribution data includes the pressure values of at least one monitoring point of the left lower limb and the right lower limb of the target user; and the method further includes: determining a muscle activation balance index of the target user according to pressure values of at least one monitoring point of the left lower limb and the right lower limb of the target user; in a case where the muscle activation balance index of the target user is less than a preset muscle activation balance index threshold, determining a lower limb with a smaller pressure value of the at least one monitoring point of the left lower limb and the right lower limb of the target user as a low activation side, and determining a lower limb with a larger pressure value of the at least one monitoring point of the left lower limb and the right lower limb of the target user as a high activation side; increasing the dorsiflexion frequency and the plantar flexion frequency of the low activation side, and decreasing the dorsiflexion frequency and the plantar flexion frequency of the high activation side; Specifically, the muscle activation balance index is determined according to the following formula: ; wherein L1 is an average pressure value of the at least one monitoring point of the left lower limb of the target user, and R1 is an average pressure value of the at least one monitoring point of the right lower limb of the target user.

[0083] For example, the average pressure values of the monitoring points (such as the soles and gastrocnemius muscles) of the left lower limb of the user E are 180 kPa, and the average pressure values of the corresponding symmetric points of the right lower limb are 120 kPa. Based on the above formula, the muscle activation balance index is calculated to be 0.67, which is less than the preset muscle activation balance index threshold of 0.8. The control system 100 determines that the right lower limb is the low activation side and the left lower limb is the high activation side, and then increases the dorsiflexion frequency and the plantar flexion frequency of the right lower limb ankle pump from 5 times per minute to 8 times per minute to enhance muscle activation, while decreasing the dorsiflexion frequency and the plantar flexion frequency of the left lower limb from 5 times per minute to 2 times per minute to balance the bilateral load, thereby improving the muscle strength asymmetry problem of the user E.

[0084] As can be seen from the above, the method provided by the application can solve the problem of unbalanced circulation of bilateral lower limbs by determining the muscle activation balance index of the left and right lower limbs and adjusting the dorsiflexion frequency of the two sides. The muscle activation balance index reflects the difference in motor ability of the two sides, and when the index is lower than the threshold, the low activation side is more prone to venous stasis due to insufficient movement. Increasing the dorsiflexion frequency and the plantar flexion frequency of the low activation side can enhance its muscle pump function, and decreasing the dorsiflexion frequency and the plantar flexion frequency of the high activation side can avoid fatigue caused by excessive movement. This asymmetric adjustment can improve the circulation state of the weak side, especially for patients with hemiplegia, postoperative unilateral activity limitation, etc., by balancing the intervention intensity of both sides, the risk of unilateral thrombosis is reduced, and the overall prevention effect is improved.

[0085] The above describes the scheme of the embodiments of the present application mainly from the perspective of the method. It can be understood that the control system 100 comprises at least one of the hardware structure and the software module for executing the respective functions in order to realize the above functions. Those skilled in the art should easily realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized in the form of hardware or the combination of hardware and computer software. Whether a certain function is realized in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical scheme. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of the present application.

[0086] The embodiments of the present application can divide the control system 100 into functional units according to the above method examples. For example, the control system 100 can be divided into functional units corresponding to respective functions, or two or more functions can be integrated into one processing unit. The integrated units can be realized in the form of hardware or software functional units. It should be noted that the division of units in the embodiments of the present application is illustrative and is only a logical functional division. There can be another division method in actual implementation.

[0087] An exemplary, Figure 4 A hardware structure schematic diagram of a control system provided by the embodiments of the present application is shown. The control system 100 comprises: a data acquisition module 110, configured to acquire the tissue oxygen saturation and blood flow velocity of at least one monitoring point of the lower limbs of a target user through a near-infrared sensor; a grade determination module 120, configured to determine the risk grade of deep vein thrombosis of the lower limbs of the target user according to the tissue oxygen saturation and blood flow velocity of the at least one monitoring point; the risk grade of deep vein thrombosis of the lower limbs comprises a critical grade, a high grade, a middle grade and a low grade; a parameter determination module 130, configured to determine the intervention parameter of the target user according to the risk grade of deep vein thrombosis of the lower limbs of the target user, the intervention parameter comprising the dorsiflexion angle, the dorsiflexion frequency, the plantar flexion angle, the plantar flexion frequency and the exercise duration of the ankle joint; and a device control module 140, configured to control the deep vein thrombosis prevention device worn by the target user according to the intervention parameter of the target user, the deep vein thrombosis prevention device comprising an ankle joint training instrument, so that the target user performs dorsiflexion movement at the dorsiflexion angle and the dorsiflexion frequency and performs plantar flexion movement at the plantar flexion angle and the plantar flexion frequency through the worn ankle joint training instrument.

[0088] It should be understood that the specific description of the above optional modes can refer to the foregoing method embodiments, which will not be described here. In addition, the description of the explanation and the beneficial effects of any of the control systems 100 provided above can refer to the corresponding method embodiments described above, which will not be described here.

[0089] The embodiment of the present application further provides a computer readable storage medium, which stores at least one computer instruction, and the at least one computer instruction is loaded and executed by a processor to realize the method of each of the above embodiments. The description of the explanation and beneficial effects of the related content in any of the above computer readable storage media can refer to the corresponding embodiment, and will not be repeated here.

[0090] The embodiment of the present application further provides a chip. The chip integrates a control circuit and one or more ports for realizing the function of the control system 100. Optionally, the functions supported by the chip can refer to the above, and will not be repeated here.

[0091] Those skilled in the art can understand that all or part of the steps of the above-mentioned embodiments can be completed by a program instructing related hardware, and the program can be stored in a computer readable storage medium. The storage medium mentioned above can be a read-only memory, a random access memory, etc. The processing unit or the processor mentioned above can be a central processing unit, a general-purpose processor, an application specific integrated circuit (ASIC), a microprocessor (digital signal processor, DSP), a field programmable gate array (FPGA) or other programmable logic device, a transistor logic device, a hardware component or any combination thereof.

[0092] The embodiments of the present application also provide a computer program product containing instructions, which, when executed on a computer, cause the computer to perform any of the methods described above. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the processes or functions according to the embodiments of the present application are wholly or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable apparatus. The computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center through a wired (for example, coaxial cable, optical fiber, digital subscriber line (DSL), or wireless (for example, infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server, data center, etc. containing one or more available media sets. The available media can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, an SSD), etc.

[0093] It should be noted that the above-mentioned devices for storing computer instructions or computer programs provided by the embodiments of the present application, such as but not limited to the above-mentioned memory, computer-readable storage medium, and communication chip, etc., are all non-transitory. Those skilled in the art should be aware that in one or more of the above examples, the functions described by the embodiments of the present application can be implemented by hardware, software, firmware, or any combination thereof. When implemented by software, these functions can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. The computer-readable storage medium includes computer storage medium and communication medium, wherein the communication medium includes any medium that facilitates the transfer of a computer program from one place to another. The storage medium can be any available medium accessible by a general-purpose or special-purpose computer.

[0094] Although the embodiments of the present application have been shown and described above, it should be understood that the above-mentioned embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements, and variations to the above-mentioned embodiments within the scope of the present application.

Claims

1. A control method of a lower extremity deep vein thrombosis prevention device based on infrared detection, characterized by, The method comprises: obtaining the tissue oxygen saturation and blood flow velocity of at least one monitoring point of the lower limbs of the target user through a near-infrared sensor; determining the deep vein thrombosis risk level of the lower limbs of the target user according to the tissue oxygen saturation and blood flow velocity of the at least one monitoring point; the deep vein thrombosis risk level of the lower limbs comprises a critical level, a high level, a middle level and a low level; determining the intervention parameters of the target user according to the deep vein thrombosis risk level of the lower limbs of the target user; the intervention parameters comprise the dorsiflexion angle, the dorsiflexion frequency, the plantar flexion angle, the plantar flexion frequency and the movement duration of the ankle joint; controlling the deep vein thrombosis prevention device worn by the target user according to the intervention parameters of the target user; the deep vein thrombosis prevention device comprises an ankle joint training instrument, so that the target user performs dorsiflexion movement at the dorsiflexion angle and the dorsiflexion frequency and performs plantar flexion movement at the plantar flexion angle and the plantar flexion frequency through the worn ankle joint training instrument.

2. The method of claim 1, wherein, The method comprises: in the case that the tissue oxygen saturation is greater than or equal to 70% and the blood flow velocity is greater than a first threshold value, determining that the deep vein thrombosis risk level of the lower limbs of the target user is a low level; in the case that the tissue oxygen saturation is greater than or equal to 60% and less than 70%, or the blood flow velocity is less than or equal to the first threshold value and greater than a second threshold value, determining that the deep vein thrombosis risk level of the lower limbs of the target user is a middle level; in the case that the tissue oxygen saturation is greater than or equal to 50% and less than 60%, or the blood flow velocity is less than or equal to the second threshold value and greater than a third threshold value, determining that the deep vein thrombosis risk level of the lower limbs of the target user is a high level; in the case that the tissue oxygen saturation is less than 50%, or the blood flow velocity is less than or equal to the third threshold value, determining that the deep vein thrombosis risk level of the lower limbs of the target user is a critical level.

3. The method of claim 2, wherein, The method comprises: in the case that the deep vein thrombosis risk level of the lower limbs of the target user is a low level, determining that the dorsiflexion angle of the target user is 15-20°, the dorsiflexion frequency is 5 times per minute, the plantar flexion angle is 30-45° and the plantar flexion frequency is 5 times per minute, and the passive movement is continued for 5 minutes every 30 minutes; in the case that the deep vein thrombosis risk level of the lower limbs of the target user is a middle level, determining that the dorsiflexion angle of the target user is 15-20°, the dorsiflexion frequency is 5 times per minute, the plantar flexion angle is 30-45° and the plantar flexion frequency is 5 times per minute, and the passive movement is continued for 8 minutes every 20 minutes; in the case that the deep vein thrombosis risk level of the lower limbs of the target user is a high level, determining that the dorsiflexion angle of the target user is 15-20°, the dorsiflexion frequency is 5 times per minute, the plantar flexion angle is 30-45° and the plantar flexion frequency is 5 times per minute, and the passive movement is continued for 10 minutes every 15 minutes; In a case where the target user's lower extremity deep vein thrombosis risk level is a critical level, the dorsiflexion angle of the target user is determined to be 0° and the dorsiflexion frequency is determined to be 0 times per minute, so as to stop the prevention of the lower extremity deep vein thrombosis device.

4. The method of claim 1, wherein, The monitoring points include the medial gastrocnemius and the distal quadriceps; the method further comprises: determining the difference between the tissue oxygen saturation of the medial gastrocnemius and the tissue oxygen saturation of the distal quadriceps, the difference being used to represent the trans-regional blood oxygen gradient of the target user; in a case where the difference is greater than the tissue oxygen saturation threshold value, the dorsiflexion angle of the target user is determined to be 15-20°, the dorsiflexion frequency is determined to be 5 times per minute, the plantar flexion angle is determined to be 30-45°, and the plantar flexion frequency is determined to be 5 times per minute, and passive movement is performed for 10 minutes every 15 minutes.

5. The method of claim 4, wherein, The method further comprises: In a case where the target user's lower extremity deep vein thrombosis risk level is a critical level, an alarm information is generated, the alarm information being used to prompt that the target user's lower extremity deep vein thrombosis risk level is a critical level.

6. The method of claim 1, wherein, Before determining the target user's lower extremity deep vein thrombosis risk level according to the tissue oxygen saturation and blood flow velocity of the at least one monitoring point, the method further comprises: obtaining muscle pressure distribution data of at least one monitoring point of the lower extremity of the target user through a flexible pressure sensor array; determining an evaluation index according to the muscle pressure distribution data and the tissue oxygen saturation; The determination formula of the evaluation index PSOI is: ； wherein P1 is a difference between the current pressure and a reference pressure, P2 is the reference pressure, S1 is a difference between the current tissue oxygen saturation and a reference tissue oxygen saturation, S2 is the reference tissue oxygen saturation, and are weight coefficients; The determination of the target user's lower extremity deep vein thrombosis risk level according to the tissue oxygen saturation and blood flow velocity of the at least one monitoring point comprises: In a case where the evaluation index is less than or equal to 0.3 and the blood flow velocity is greater than a first threshold value, the target user's lower extremity deep vein thrombosis risk level is determined to be a low level; In a case where the evaluation index is greater than 0.3 and less than or equal to 0.5, or the blood flow velocity is less than or equal to the first threshold value and greater than a second threshold value, the target user's lower extremity deep vein thrombosis risk level is determined to be a medium level; In a case where the evaluation index is greater than 0.5 and less than or equal to 0.7, or the blood flow velocity is less than or equal to the second threshold value and greater than a third threshold value, the target user's lower extremity deep vein thrombosis risk level is determined to be a high level; In a case where the evaluation index is greater than 0.7, or the blood flow velocity is less than or equal to the third threshold value, the target user's lower extremity deep vein thrombosis risk level is determined to be a critical level.

7. The method of claim 6, wherein, The method further comprises: In a case where any pressure value included in the muscle pressure distribution data is greater than a preset pressure value threshold value, the target user's lower extremity deep vein thrombosis risk level is determined to be a critical level.

8. The method of claim 7, wherein, According to the muscle pressure distribution data, pressure values of at least one monitoring point of the left lower extremity and the right lower extremity of the target user are included; the method further comprises: determining a muscle activation balance index of the target user according to the pressure values of at least one monitoring point of the left lower extremity and the right lower extremity of the target user; In a case where the muscle activation balance index of the target user is less than a preset muscle activation balance index threshold, determining that a lower limb with a smaller pressure value of at least one monitoring point of the left lower limb and the right lower limb of the target user is a low activation side, and determining that a lower limb with a larger pressure value of at least one monitoring point of the left lower limb and the right lower limb of the target user is a high activation side; Increasing the dorsiflexion frequency and the plantar flexion frequency of the low activation side, and decreasing the dorsiflexion frequency and the plantar flexion frequency of the high activation side; The muscle activation balance index The determination formula is: ； Wherein, L1 is the average pressure value of at least one monitoring point of the left lower limb of the target user, and R1 is the average pressure value of at least one monitoring point of the right lower limb of the target user.

9. A control system for a device for preventing deep vein thrombosis of the lower limbs based on infrared detection, characterised in that it comprises: The system comprises: A data acquisition module for acquiring tissue oxygen saturation and blood flow velocity of at least one monitoring point of the lower limb of the target user through a near-infrared sensor; A grade determination module for determining a deep vein thrombosis risk grade of the lower limb of the target user according to the tissue oxygen saturation and the blood flow velocity of the at least one monitoring point; the deep vein thrombosis risk grade comprises a critical level, a high level, a middle level and a low level; A parameter determination module for determining an intervention parameter of the target user according to the deep vein thrombosis risk grade of the lower limb of the target user, the intervention parameter comprising a dorsiflexion angle, a dorsiflexion frequency, a plantar flexion angle, a plantar flexion frequency and a movement duration of the ankle joint; A device control module for controlling a deep vein thrombosis prevention device worn by the target user according to the intervention parameter of the target user, the deep vein thrombosis prevention device comprising an ankle joint training instrument, so that the target user performs dorsiflexion movement at the dorsiflexion angle and the dorsiflexion frequency, and performs plantar flexion movement at the plantar flexion angle and the plantar flexion frequency through the worn ankle joint training instrument.

10. An electronic device, comprising: Comprise: A processor; A memory for storing instructions executable by the processor; Wherein, the processor is configured to execute the instructions to implement the control method of the deep vein thrombosis prevention device based on infrared detection according to any one of claims 1-8.

Images