Joint scar adhesion dynamic monitoring and prevention and treatment integrated device and method

Abstract

The invention relates to the technical field of medical instruments, and discloses a joint scar adhesion dynamic monitoring and prevention and treatment integrated device and method.The joint scar adhesion dynamic monitoring and prevention and treatment integrated device comprises a flexible attaching module, a micro anchor needle probe module, a control processing unit and a data interaction unit; the micro anchor needle probe module is stably attached to a joint scar part and adapts to joint flexion and extension activities so as to realize dynamic monitoring and intervention. According to the joint scar adhesion dynamic monitoring and prevention and treatment integrated device and method, mechanical sensing, optical capillary detection and targeted intervention are integrated through the three-in-one integrated micro anchor needle probe module, so that mechanical parameters and capillary parameters can be synchronously collected at the same point and executed in a closed-loop mode according to time sequences; compared with a traditional discrete device, the volume is obviously reduced, and the deep blood vessel detection rate and the risk prediction accuracy are greatly improved, so that the integrity, the accuracy and the response efficiency of monitoring and intervention are obviously improved.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, specifically to an integrated device and method for dynamic monitoring and prevention of joint scar adhesions. Background Technology

[0002] Scars are pathological tissues that differ from the surrounding normal skin in appearance, texture, and function when the body repairs itself after injuries such as burns, cuts, or surgical incisions. This is caused by excessive proliferation of fibroblasts and abnormal deposition of extracellular matrix such as collagen fibers, which disrupts the normal tissue structure.

[0003] After joint repair surgery, abnormal proliferation and adhesion of scar tissue are key issues affecting the recovery of joint function. In existing technologies, mechanical monitoring, microvascular detection, and adhesion intervention often adopt independent devices or modular designs, which often have the following shortcomings: First, the parallel arrangement of multiple probes leads to insufficient spatial overlap, large temporal synchronization deviation, and low accuracy of dual-modal data collaborative analysis; second, the intervention devices are mostly external large-area traction, which cannot achieve targeted intervention in the deep layers of scar tissue and is prone to damaging new blood vessels and granulation tissue; third, the risk assessment models mostly use conventional linear fitting or basic neural networks, which do not consider the differences in parameter weights at different stages of scar formation, resulting in limited prediction accuracy. Summary of the Invention

[0004] The purpose of this invention is to provide an integrated device and method for dynamic monitoring and prevention of joint scar adhesions, so as to solve the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: an integrated device for dynamic monitoring and prevention of joint scar adhesion, comprising: a flexible fitting module, a micro-anchor probe module, a control and processing unit, and a data interaction unit; The flexible fitting module serves as a wearable carrier, stably fitting the micro-anchor needle probe module to the joint scar site and adapting to joint flexion and extension activities to achieve dynamic monitoring and intervention. The micro-anchor needle probe module is used to achieve simultaneous monitoring and targeted intervention of scar tissue at the same location. The control processing unit is used to control the micro-anchor probe module to perform closed-loop operations of measurement and intervention in a time-sequential manner; The data interaction unit is used to realize wireless transmission, cloud storage and remote visualization interaction of monitoring data.

[0006] Preferably, the flexible bonding module is made of medical-grade silicone material and has an ergonomic curved surface structure on its surface. The edge of the flexible bonding module is provided with an anti-allergy acrylic medical adhesive layer, and the surface of the adhesive layer is covered with anti-allergy release paper.

[0007] Preferably, the micro-anchor probe module includes a micro-anchor, the outer wall of which is integrated with a micro-strain gauge, and the flexible bonding module has a micro-piezoelectric ceramic actuator integrated inside, which is connected to the root of the micro-anchor.

[0008] Preferably, the micro-anchor needle is made of medical-grade stainless steel and has a hollow, elastic design. The tip of the micro-anchor needle is arc-shaped and contacts the scar surface. A single-mode optical fiber is coupled inside the hollow cavity of the micro-anchor needle. There are nine micro-anchor needles arranged in a three-by-three array.

[0009] Preferably, the control processing unit is connected to the micro-strain gauge of each micro-anchor pin and the micro-piezoelectric ceramic actuator via wires.

[0010] Preferably, the control processing unit incorporates an attention-based LSTM two-parameter fusion mapping model. The input layer of the LSTM two-parameter fusion mapping model includes four feature parameters: capillary density, perfusion volume, and tensile stress modulus. The hidden layer of the LSTM two-parameter fusion mapping model includes two network structures.

[0011] Preferably, the data interaction unit includes a Bluetooth 5.0 transmission module and a cloud data storage module, and the data interaction unit is communicatively connected to the control processing unit.

[0012] On the other hand, this application also proposes a method for dynamic monitoring and prevention of joint scar adhesion, including the following steps: S1, attaching a flexible bonding module. Three days after joint surgery, a flexible bonding module of the corresponding specification is selected according to the joint type, attached to the scar area and the release paper is peeled off, so that the tip of the micro-anchor needle is closely attached to the central area of ​​the scar. S2. Parameter acquisition: The measurement mode is started by controlling the processing unit, locking the micro piezoelectric ceramic drive, and using micro anchor needles to simultaneously acquire mechanical parameters and microvascular parameters at a depth of two to three millimeters in scar tissue. S3. Risk assessment: The collected data is input into the attention-based LSTM dual-parameter fusion mapping model of the control processing unit to calculate and output the low, medium and high risk levels of adhesion. S4. Targeted intervention: If the risk level is medium or high, switch to intervention mode, control the micro piezoelectric ceramic drive to drive the micro anchor needle to perform reciprocating elastic motion, and collect mechanical feedback data in real time through the micro strain gauge on the side wall to dynamically adjust the intervention amplitude and frequency; if the risk level is low, maintain continuous monitoring, with a monitoring frequency of once a day for 30 minutes each time. S5. Data Upload and Tracking: Monitoring and intervention data are uploaded to the cloud through the data interaction unit, generating daily rehabilitation reports and dynamically adjusting the monitoring frequency and intervention plan until the scar maturation period ends.

[0013] Compared with the prior art, the beneficial effects achieved by the present invention are: First, this invention integrates mechanical sensing, optical microvascular detection, and targeted intervention into a three-in-one integrated micro-anchor probe module, enabling the simultaneous acquisition of mechanical parameters and microvascular parameters at the same point and the sequential closed-loop execution. Compared with traditional discrete devices, this not only significantly reduces the size but also greatly improves the detection rate of deep blood vessels and the accuracy of risk prediction, thereby significantly improving the overall integrity, accuracy, and response efficiency of monitoring and intervention.

[0014] Secondly, this invention achieves dynamic intelligent assessment of the scar formation process by using an attention-based LSTM dual-parameter fusion mapping model built into the control processing unit. This model can adaptively adjust feature weights according to different stages of scar formation. Especially during the scar proliferative phase, its prediction accuracy is significantly improved compared to traditional models. It can provide early warning of medium- and high-risk adhesions, thereby achieving dynamic, graded, and accurate risk assessment and timely intervention, which significantly improves the scientific nature and individual adaptability of rehabilitation programs.

[0015] Third, this invention constructs a complete closed-loop control and management system from device structure to method, encompassing monitoring, evaluation, and intervention. It not only achieves comfortable, stable, and wearable integrated operation through a flexible fitting module and a micro-anchor probe module, but also enables remote monitoring and dynamic adjustment of rehabilitation plans through Bluetooth 5.0 and cloud data interaction. Ultimately, it significantly reduces the incidence of postoperative joint adhesions and the degree of fibrosis, while significantly improving clinical rehabilitation effects and possessing good wearability and ease of operation. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the overall structure of the present invention; Figure 2 This is a schematic diagram of the structure of the micro-anchor needle probe module of the present invention; Figure 3 This is a schematic diagram of the internal structure of the micro-anchor needle of the present invention; Figure 4 This is a schematic diagram of the overall planar structure of the present invention; Figure 5 This is a flowchart illustrating the overall workflow of the present invention.

[0017] The components include: 1. Flexible bonding module; 2. Micro-anchor probe module; 201. Micro-anchor; 202. Micro-strain gauge; 203. Micro-piezoelectric ceramic; 3. Control and processing unit; 4. Data interaction unit. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] This invention provides the following technical solutions: Example 1 Please see Figure 1 , Figure 2 , Figure 3 and Figure 4 An integrated device for dynamic monitoring and prevention of joint scar adhesion includes: a flexible bonding module 1, a micro-anchor probe module 2, a control and processing unit 3, and a data interaction unit 4. The flexible fitting module 1 serves as a wearable carrier, stably fitting the micro-anchor needle probe module 2 to the joint scar site and adapting to joint flexion and extension activities to achieve dynamic monitoring and intervention; Micro-anchor probe module 2 is used to achieve simultaneous monitoring and targeted intervention of scar tissue at the same location; Control processing unit 3 is used to control micro-anchor probe module 2 to perform closed-loop operation of measurement and intervention in a time-sequence manner; The data interaction unit 4 is used to realize wireless transmission, cloud storage and remote visualization interaction of monitoring data.

[0020] The flexible fitting module 1 is made of medical-grade silicone and has an ergonomic curved surface structure. The edges of the flexible fitting module 1 are covered with an anti-allergy acrylic medical adhesive layer, and the surface of the adhesive layer is covered with anti-allergy release paper. The use of biocompatible materials and ergonomic curved surface design greatly improves the fitting stability and wearing comfort. It maintains a close fit during joint flexion and extension, ensuring the continuity and accuracy of monitoring and intervention. The anti-allergy adhesive layer avoids skin irritation and is suitable for long-term postoperative rehabilitation use.

[0021] Among them, the overall size of the flexible bonding module 1 is ≤8cm×6cm×1.5cm, and the curvature is designed differently according to the anatomical structure.

[0022] The micro-anchor probe module 2 includes a micro-anchor 201, with a micro-strain gauge 202 integrated on the outer wall of the micro-anchor 201. The flexible bonding module 1 has a micro-piezoelectric ceramic drive 203 integrated inside, which is connected to the root of the micro-anchor 201.

[0023] Among them, the micro strain gauge 202 has a sensitivity coefficient of 2.0 and a measurement accuracy of ±0.005N. The micro piezoelectric ceramic drive 203 has a response time of ≤50ms and a driving voltage of 0-150V, which can drive the tip of the micro anchor needle 201 to perform reciprocating motion with an amplitude of 50-200μm and a frequency of 0.5-2Hz.

[0024] The micro-anchor needle 201 is made of medical-grade stainless steel and features a hollow, elastic design. The needle tip of the micro-anchor needle 201 is rounded and contacts the scar surface. A single-mode optical fiber is coupled within the hollow cavity of the micro-anchor needle 201. Nine micro-anchor needles 201 are arranged in a 3x3 array. The hollow cavity coupled with the optical fiber integrates microvascular optical detection and mechanical sensing. The rounded needle tip design reduces tissue damage. The array arrangement ensures full-area coverage and synchronous signal acquisition, significantly improving the detection rate of deep blood vessels and the accuracy of parameter fusion analysis.

[0025] Among them, the micro-anchor needle 201 has a length of 1mm, a tip radius of 0.5mm, and a hollow cavity diameter of 50μm; the single-mode fiber has a numerical aperture of 0.22 and is used to transmit OMAG near-infrared light signals; the detection area overlap rate of the micro-anchor needle 201 is 100%, and the timing synchronization deviation is 0ms.

[0026] The control processing unit 3 connects the micro strain gauges 202 of each micro anchor pin 201 to the micro piezoelectric ceramic drive 203 via wires, ensuring stable signal transmission and anti-interference, supporting real-time acquisition of high-frequency data and multi-channel synchronous control; the time-sequence operation avoids mutual interference between measurement and intervention, improving system reliability and closed-loop control accuracy.

[0027] The connection uses flexible circuits or shielded cables, the signal sampling frequency is 10Hz, and the control timing can be independently divided to execute measurement and intervention modes.

[0028] The control processing unit 3 incorporates an attention-based LSTM two-parameter fusion mapping model. The input layer of the LSTM two-parameter fusion mapping model contains four feature parameters: capillary density, perfusion volume, and tensile stress elastic modulus. The hidden layer of the LSTM two-parameter fusion mapping model contains two network structures, enabling dynamic risk assessment of the scar formation process and significantly improving the timeliness of early warning and the accuracy of grading. Compared with the conventional LSTM model, the prediction accuracy is improved by 12.1%, and it supports differentiated joint threshold settings to meet the needs of personalized clinical rehabilitation.

[0029] Among them, the LSTM dual-parameter fusion mapping model based on the attention mechanism is a deep learning architecture designed specifically for temporal multimodal data. Its core is composed of a long short-term memory network (LSTM) and an attention mechanism module. The model captures the temporal dependence of mechanical parameters such as tension and elastic modulus and microvascular parameters such as capillary density and perfusion volume during scar formation through LSTM layers. It also uses the attention mechanism to dynamically calculate the weight distribution of different features in different stages of scar formation, such as the proliferative and maturation phases, thereby achieving adaptive focusing on the non-uniform contributions of multiple parameters and finally outputting high-precision adhesion risk classification mapping results. In this application, the model is integrated into the control processing unit 3, which receives mechanical and optical dual-modal parameters from the micro-anchor probe module 2 in real time. The model first performs temporal encoding on the input four-dimensional feature sequence, and then dynamically strengthens the capillary density feature weight to 65% in key stages such as the proliferative phase 2-4 weeks after surgery through attention weight. Subsequently, it is fused and mapped to the adhesion risk level. Based on the output results, the control processing unit 3 automatically triggers or adjusts the targeted intervention mode of the micro-anchor 201, forming a closed-loop control from monitoring to assessment to intervention, thereby significantly improving the timeliness of risk warning, the accuracy of classification, and the effectiveness of intervention.

[0030] The data interaction unit 4 includes a Bluetooth 5.0 transmission module and a cloud data storage module. The data interaction unit 4 is communicatively connected to the control and processing unit 3, enabling real-time uploading and remote monitoring of monitoring data, supporting doctors to dynamically adjust intervention plans; cloud storage facilitates long-term rehabilitation tracking and big data analysis, improving the continuity and scientific nature of rehabilitation management.

[0031] Among them, Bluetooth 5.0 supports low-power continuous data transmission; the cloud module enables historical data tracing and multi-terminal synchronization; and the accompanying mobile APP provides a visual interface for biomechanical curves, vascular imaging, and risk warning.

[0032] Through the above technical solution, a biocompatible wearable and dynamic fit is achieved through the flexible fitting module 1. Combined with the micro-anchor needle 201 array integrating micro-strain gauges 202, single-mode optical fibers and micro-piezoelectric ceramic drivers 203, an integrated probe module 2 is constructed that can simultaneously collect mechanical and microvascular parameters and implement targeted intervention. The control and processing unit 3 has a built-in LSTM dual-parameter fusion mapping model based on the attention mechanism to achieve adaptive weight fusion and risk classification of multi-temporal features. The data interaction unit 4 completes wireless transmission and remote interaction of monitoring data with the cloud module through Bluetooth 5.0. The whole device forms a compact, fast-responding, and closed-loop controllable integrated device for dynamic monitoring and prevention of joint scars.

[0033] Example 2 Please see Figure 5This application also proposes a method for dynamic monitoring and prevention of joint scar adhesion, including the following steps: S1, attaching a flexible adhesive module 1. Three days after joint surgery, select the corresponding specification of the flexible adhesive module 1 according to the joint type, attach it to the scar area and peel off the release paper so that the needle tip of the micro-anchor needle 201 is closely attached to the central area of ​​the scar. S2. Parameter acquisition: The measurement mode is started by controlling the processing unit 3, locking the micro piezoelectric ceramic drive 203, and using the micro anchor needle 201 to simultaneously acquire mechanical parameters and microvascular parameters at a depth of two to three millimeters in the scar tissue. S3, Risk Assessment: The collected data is input into the attention-based LSTM dual-parameter fusion mapping model of the control processing unit 3 to calculate and output the low, medium, and high risk levels of adhesion. S4. Targeted intervention: If the risk level is medium or high, switch to intervention mode, control the micro piezoelectric ceramic drive 203 to drive the micro anchor 201 to perform reciprocating elastic motion, and collect mechanical feedback data in real time through the micro strain gauge 202 on the side wall to dynamically adjust the intervention amplitude and frequency; if the risk level is low, maintain continuous monitoring, with a monitoring frequency of once a day for 30 minutes each time. S5. Data Upload and Tracking: Monitoring and intervention data are uploaded to the cloud through data interaction unit 4, generating daily rehabilitation reports and dynamically adjusting monitoring frequency and intervention plans until the scar maturation period ends.

[0034] Through the above technical solution, after stable adhesion is achieved by the flexible adhesion module 1, the scar tissue depth parameters are collected synchronously by the micro-anchor probe module 2. The LSTM model of the control processing unit 3 is used to perform dynamic risk assessment, and the micro piezoelectric ceramic actuator 203 is driven to perform targeted intervention based on the results. The data interaction unit 4 uploads data in real time and supports dynamic adjustment of the plan, thereby realizing intelligent and precise closed-loop management of joint scars from monitoring, assessment to intervention, significantly improving postoperative rehabilitation effect and adhesion prevention success rate.

[0035] In use, the overall workflow of this invention is as follows: First, the flexible bonding module 1 is bonded to the postoperative scar area of ​​the joint to ensure that the tip of the micro-anchor probe module 2 is in close contact with the scar. Next, the control processing unit 3 starts the measurement mode, locks the micro piezoelectric ceramic drive 203, and uses the micro-anchor needle 201 to simultaneously collect mechanical parameters and microvascular parameters at a depth of 2-3mm in the scar tissue. Then, the collected data is input into the attention-based LSTM dual-parameter fusion mapping model built into the control processing unit 3 to dynamically assess and output the adhesion risk level. Then, if the risk is medium to high, the intervention mode is switched to control the micro piezoelectric ceramic drive 203 to drive the micro-anchor needle 201 to perform targeted elastic intervention and provide real-time feedback and adjustment. Finally, all data is uploaded to the cloud through the data interaction unit 4 to realize remote monitoring and dynamic optimization of the rehabilitation plan, thereby completing the entire closed-loop intelligent management from bonding, monitoring, assessment, intervention to data tracking.

[0036] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An integrated device for dynamic monitoring and prevention of joint scar adhesions, characterized in that... It includes: a flexible bonding module (1), a micro-anchor probe module (2), a control and processing unit (3), and a data interaction unit (4). The flexible fitting module (1) serves as a wearable carrier, stably fitting the micro-anchor needle probe module (2) to the joint scar site and adapting to joint flexion and extension activities to achieve dynamic monitoring and intervention; The micro-anchor probe module (2) is used to achieve simultaneous monitoring and targeted intervention of scar tissue at the same point; The control processing unit (3) is used to control the micro-anchor probe module (2) to perform closed-loop operation of measurement and intervention in a time sequence; The data interaction unit (4) is used to realize wireless transmission, cloud storage and remote visualization interaction of monitoring data.

2. The integrated device for dynamic monitoring and prevention of joint scar adhesion according to claim 1, characterized in that: The flexible bonding module (1) is made of medical silicone material and has an ergonomic curved surface structure on its surface. The edge of the flexible bonding module (1) is provided with an anti-allergy acrylic medical adhesive layer, and the surface of the adhesive layer is covered with anti-allergy release paper.

3. The integrated device for dynamic monitoring and prevention of joint scar adhesions according to claim 1, characterized in that: The micro-anchor probe module (2) includes a micro-anchor (201), and a micro-strain gauge (202) is integrated on the outer wall of the micro-anchor (201). The flexible bonding module (1) has a micro-piezoelectric ceramic drive (203) integrated inside, and the micro-piezoelectric ceramic drive (203) is connected to the root of the micro-anchor (201).

4. The integrated device for dynamic monitoring and prevention of joint scar adhesions according to claim 3, characterized in that: The micro-anchor needle (201) is made of medical stainless steel and has a hollow elastic design. The tip of the micro-anchor needle (201) is arc-shaped and contacts the scar surface. A single-mode optical fiber is coupled in the hollow cavity of the micro-anchor needle (201). There are nine micro-anchor needles (201) arranged in a three-by-three array.

5. The integrated device for dynamic monitoring and prevention of joint scar adhesions according to claim 3, characterized in that: The control processing unit (3) connects the micro strain gauge (202) of each micro anchor (201) to the micro piezoelectric ceramic drive (203) via wires.

6. The integrated device for dynamic monitoring and prevention of joint scar adhesion according to claim 1, characterized in that: The control processing unit (3) has a built-in LSTM dual-parameter fusion mapping model based on the attention mechanism. The input layer of the LSTM dual-parameter fusion mapping model contains four feature parameters: capillary density, perfusion volume, and tensile stress elastic modulus. The hidden layer of the LSTM dual-parameter fusion mapping model contains two network structures.

7. The integrated device for dynamic monitoring and prevention of joint scar adhesion according to claim 1, characterized in that: The data interaction unit (4) includes a Bluetooth 5.0 transmission module and a cloud data storage module, and the data interaction unit (4) is communicatively connected to the control processing unit (3).

8. A method for dynamic monitoring and prevention of joint scar adhesions, applicable to the integrated device for dynamic monitoring and prevention of joint scar adhesions as described in any one of claims 1-7, characterized in that, Includes the following steps: S1. Apply flexible bonding module (1). Three days after joint surgery, select the corresponding specification of flexible bonding module (1) according to the joint type, apply it to the scar area and peel off the release paper so that the needle tip of the micro anchor needle (201) is closely attached to the center area of ​​the scar. S2, parameter acquisition: the measurement mode is started by controlling the processing unit (3), locking the micro piezoelectric ceramic drive (203), and using the micro anchor needle (201) to simultaneously acquire the mechanical parameters and microvascular parameters of the scar tissue at a depth of two to three millimeters; S3. Risk assessment: The collected data is input into the attention mechanism-based LSTM dual-parameter fusion mapping model of the control processing unit (3) to calculate and output the low, medium and high risk levels of adhesion. S4. Targeted intervention: If the risk level is medium or high, switch to intervention mode, control the micro piezoelectric ceramic drive (203) to drive the micro anchor (201) to perform reciprocating elastic motion, and collect mechanical feedback data in real time through the micro strain gauge (202) on the side wall, and dynamically adjust the intervention amplitude and frequency; if the risk level is low, maintain continuous monitoring, with a monitoring frequency of once a day for 30 minutes each time. S5. Data upload and tracking: The monitoring and intervention data are uploaded to the cloud through the data interaction unit (4), and a rehabilitation report is generated daily. The monitoring frequency and intervention plan are dynamically adjusted until the scar maturation period ends.

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