Wound compression data analysis system used after thyroid surgery

Abstract

The invention relates to the technical field of medical data management, and particularly discloses a wound compression data analysis system used after thyroid surgery, which is used for solving the problem of accurate control of wound compression, cooling intensity and decompression after thyroid surgery, and comprises a base, a camera is arranged on the base and is connected with a control mainboard, an image analysis module is arranged on the control mainboard, and the camera is connected with the control mainboard. The image analysis module quantifies the healing state through the healing area, the wound edge shrinkage degree and the wound redness and swelling degree, the pressure monitoring mechanism obtains the drainage amount in the drainage hole, and the dynamic adjustment module is further connected with a comprehensive analysis module. The dynamic adjustment module dynamically adjusts the decompression adjustment amount and the refrigerating capacity according to the healing state of the postoperative wound, hydrops and blood outflow information and swallowing action information, and the comprehensive analysis module performs data analysis according to the dynamic adjustment module; according to the invention, wound area, edge regularity and redness and swelling information are collected through the camera, and pressure reduction and refrigeration are dynamically adjusted in combination with swallowing, drainage and pressure data.

Description

Technical Field

[0001] The present invention relates to the technical field of medical data management, and more particularly to a wound compression data analysis system for post-thyroid surgery. Background Art

[0002] The Chinese invention patent application number CN2023118556459 discloses an incision support and compression device for thyroid surgery. The device cooperates with a base (1), a wound compression mechanism (2), a drainage tube, a circular hole (204) and a shoulder support mechanism, and uses the two side substrates as support points. The base (1) supports and fixes the plastic metal frame (201). The plasticity of the plastic metal frame (201) allows the insulation bag to be stably attached to the wound. Since the plastic metal frame (201) has a certain hardness, when the patient's head twists, it is not easy to pull the skin inside the plastic metal frame (201), thereby reducing the impact of the head twisting on the wound and not affecting the arrangement of the drainage tube. The swallowing detection mechanism (4) and the decompression mechanism (5 ) and the control main board (10) cooperate with each other to monitor the swallowing action of the patient, and can automatically reduce the pressure of the thermal insulation elastic bag (202) on the wound when the patient swallows, so as to avoid the esophagus from squeezing the wound in two directions during swallowing and causing excessive pain in the wound. Through the refrigeration mechanism (8), the wound is kept at a low temperature when it is compressed, which relieves pain and discomfort, helps to inhibit the occurrence of local inflammation and swelling, and reduces the occurrence of bleeding and fluid accumulation in the wound. The set pressure monitoring mechanism (7) and trigger alarm component can monitor the drainage tube in real time, and automatically alarm to remind medical staff when a large amount of fluid accumulation or blood outflow occurs in the drainage tube, and the alarm component can cooperate with the refrigeration mechanism (8) to reduce the possibility of false alarms by accumulating triggers. However, the device relies on mechanical design and manual adjustment to monitor compression intensity, and lacks real-time and accurate monitoring of compression intensity, which will lead to improper compression force and affect the wound healing effect. Secondly, the dynamic monitoring of the wound healing process is insufficient, and the wound healing situation cannot be evaluated in real time. It is difficult to adjust the compression force and support method according to the wound healing data. At the same time, although the device has a shoulder support mechanism, differences in body shape will lead to uneven support, and it is impossible to provide reasonable compression and support effects for each patient. Under the description of the above technical problems, the device lacks an integrated data analysis system and cannot provide patients with precise control data to guide the operation of the incision support and compression device. Summary of the Invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides a wound compression data analysis system for post-thyroid surgery. The system collects wound area, edge regularity and redness and swelling information through a camera, combines swallowing, drainage and pressure data, and uses a dynamic module to adjust decompression and cooling to achieve precise control of wound compression after thyroid surgery.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A wound compression data analysis system for post-thyroid surgery includes a base, which is equipped with a wound compression mechanism, a swallowing detection mechanism, and a control mainboard. A drainage tube hole is opened in the center of the side wall of the base. The wound compression mechanism is connected to a decompression mechanism and a refrigeration mechanism. The refrigeration mechanism is equipped with a trigger alarm component and a pressure monitoring mechanism. The wound compression mechanism includes a plastic metal frame, a heat-insulating elastic bag, a skin-friendly fabric frame, and a curved rod. The control mainboard is connected to the wound compression mechanism, the swallowing detection mechanism, the refrigeration mechanism, and the pressure monitoring mechanism. A camera is also provided on the base. The camera is used to collect real-time images of the patient's wound area after thyroid surgery. The camera is connected to the control mainboard. The control mainboard is equipped with an image analysis module. The image analysis module uses computer vision technology to compare the post-operative image with the standard based on the appearance characteristics of the wound at different healing stages. The wound healing image quantifies the healing status through the area of ​​the healing region, the degree of contraction of the wound edge, and the amount of redness and swelling of the wound. The pressure monitoring mechanism is connected to the pressure analysis module. The pressure monitoring mechanism obtains the drainage volume in the drainage hole and monitors the fluid accumulation and blood outflow at the wound in real time. The swallowing action detection mechanism, the trigger alarm component, the pressure monitoring mechanism, and the image analysis module are all connected to the dynamic adjustment module. The dynamic adjustment module is connected to the decompression mechanism and the refrigeration mechanism. The dynamic adjustment module is also connected to the comprehensive analysis module. The dynamic adjustment module dynamically adjusts the decompression adjustment amount of the decompression mechanism and the cooling capacity of the refrigeration mechanism according to the postoperative wound healing status, fluid accumulation and blood outflow information, and swallowing action information to ensure the compression effect on the wound after surgery. The comprehensive analysis module comprehensively evaluates the healing effect of the wound after surgery based on the data analysis of the dynamic adjustment module.

[0006] As a further solution of the present invention, the comprehensive analysis module combines the real-time data of the dynamic adjustment module, including the area of ​​the healing area, edge contraction, redness and swelling index, drainage volume changes and swallowing movement frequency, and adopts computer vision algorithms and data modeling analysis technology to comprehensively evaluate the progress of wound healing, pressure adjustment effect and the impact of cooling measures. At the same time, referring to the standard healing model and cumulative data trends, through dynamic weight calculation and prediction model, a comprehensive evaluation value of wound healing is generated, and data is obtained to intuitively judge the quality of the current healing condition.

[0007] As a further solution of the present invention, a thermal insulation elastic bag is installed inside a plastic metal frame, and the thermal insulation elastic bag is filled with water. The thermal insulation elastic bag, the water, and the medical tape affixed to the patient's postoperative wound are all transparent. The camera is installed above the base directly facing the postoperative wound area.

[0008] As a further solution of the present invention, in the image analysis module, the wound area contour is extracted from the image acquired by the camera, the center point of its contour area is calculated, and then the wound area contour is divided into several parts from the center point at a set number of segments and equal angles. The point set of the current wound contour of each segment is extracted and compared with the wound contour of the current healing stage of the standard healing image. The similarity between the current contour segment and the corresponding contour segment of the standard healing image is calculated and used as the wound regularity. The average Euclidean distance between the two is calculated as the wound edge deviation. Based on the different wound compression requirements at different healing stages and the different importance of regularity and deviation, a dynamic weight function of wound regularity and wound edge deviation is constructed to obtain the total contraction degree concerned by the wound compression requirement. The total contraction degree concerned by the wound compression requirement is formulated as follows:

[0009] S(t)=ω U (s)·U(t)+(1-ω U (s))·[1-E(t)]

[0010] Where: t is the current moment, S(t) is the total contraction required by the wound compression at the current moment, s is the normalized wound healing time, ω U (s) is the dynamic weight function of the regularity index of the current healing time, U(t) is the wound regularity obtained by image analysis at the current moment, and E(t) is the wound edge deviation obtained by image analysis at the current moment.

[0011] As a further solution of the present invention, in the image analysis module, the dynamic weight function in the total contraction degree formula of the wound compression requirement is divided into three stages: early inflammation stage, proliferation granulation stage, and mature remodeling stage. The dynamic weight function dynamically adjusts the impact of the wound regularity obtained by image analysis at the current moment on the total contraction degree of concern for the wound compression requirement. The formula of the dynamic weight function is:

[0012]

[0013] Where a is the rising inflection point adjustment parameter, which corresponds to the normalized time when the early inflammatory stage ends and the proliferation and granulation stage begins; b is the falling inflection point adjustment parameter, which corresponds to the normalized time when the proliferation and granulation stage ends and the mature and remodeling stage begins; k1 and k2 are the steepness adjustment parameters for setting the threshold range of the dynamic weight function near points a and b, respectively.

[0014] As a further solution of the present invention, in the dynamic weight function formula of the image analysis module, the wound images continuously taken by the camera are used to extract the curve of the wound area changing with the normalized time. The normalized time point when the wound area reduction rate begins to be greater than the set significant contraction threshold is found on the curve as a, and the normalized time point when the wound area reduction rate begins to be less than the set slow contraction threshold is found as b. According to the time interval of image acquisition and the change curve of the wound area, the patient's actual healing time axis is normalized and compared with the curve of the standard healing area changing with the normalized time to obtain the corresponding k1 and k2.

[0015] As a further solution of the present invention, in the image analysis module, the redness and swelling degree of the wound after thyroid surgery is obtained by the dynamic weighted sum of the wound redness and wound swelling obtained by image analysis. The formula for the wound redness and swelling degree is:

[0016] I(t)=α(t)R(t)-(1-α(t))(t)

[0017] Where: I(t) is the wound redness index, R(t) is the wound redness. The image of the wound area is captured by a camera, the red channel component of the wound area is extracted, and the average intensity of the red channel in the area is calculated and normalized. Z(t) is the wound swelling degree. Based on the wound area captured by the camera, the segmentation contour of the wound area in the current image is compared with the segmentation contour at the previous time point to obtain the area change rate. The depth information is used to measure the mean and variance of the skin protrusion height relative to the surrounding area within a circular range with a set radius centered on the contour area. The product of the area change rate, the mean skin protrusion height, and the variance of the skin protrusion height is used as the wound swelling degree. α(t) is the redness weight at the current time t. It is dynamically adjusted according to the current wound healing stage and combined with the feedback of wound pressure.

[0018] As a further solution of the present invention, in the wound redness formula of the image analysis module, the base values ​​of the redness weight at the current moment in the early inflammation stage, the proliferation granulation stage, and the mature remodeling stage are 0.3, 0.5, and 0.7, respectively. Based on the base values, feedback adjustment is performed in combination with the current wound pressure. The dynamic adjustment formula of the redness weight at the current moment is:

[0019] α(t)=α base (t)-k p (P(t)-P th )

[0020] Where: α base (t) is the redness weight base value of the current wound healing order, k pis the feedback adjustment coefficient, which is set within the set margin based on the response characteristics and dynamic range of the pressure sensor and the control stability. P(t) is the current postoperative wound pressure value, and P th Empirically set a safe pressure threshold for capillary closure.

[0021] As a further solution of the present invention, in the image analysis module, the wound healing status is comprehensively evaluated by combining the change trends of the wound area healing progress, wound edge contraction, and redness and swelling. The wound healing status analysis formula is:

[0022]

[0023] Where: H(t) is the wound healing status analysis value after thyroid surgery at the current moment, H A (t) is the healing area progress analysis value at the current moment, Among them, A init is the initial area of ​​the wound area, A(t) is the area of ​​the current wound area, N is the number of segments set for the wound contour area, i is the index of the number of segments of the wound contour, S i (t) is the total contraction degree of the i-th contour segment at the current moment, β1, β2, and β3 are the weights of the wound healing area, edge contraction degree, and redness and swelling degree, respectively, which are obtained through regression analysis based on the patient's historical healing data, and β1+β2+β3=1.

[0024] As a further solution of the present invention, in the dynamic adjustment module, the process of dynamically adjusting the decompression adjustment amount of the decompression mechanism and the cooling capacity of the cooling mechanism according to the postoperative wound healing status, fluid accumulation and blood outflow information, and swallowing action information includes:

[0025] Step 1, data acquisition and preprocessing: obtain healing status analysis values ​​from the image analysis module, extract real-time drainage volume data from the decompression mechanism, obtain swallowing frequency and amplitude changes from the swallowing detection mechanism, and perform data preprocessing;

[0026] Step 2: Dynamically adjust the decompression amount based on the decompression amount quantification model: A decompression amount quantification model is constructed based on the difference between the target healing state analysis value and the current healing state analysis value, the effusion and blood outflow values ​​obtained by the pressure monitoring device, and the product of the swallowing frequency and swallowing amplitude to dynamically adjust the decompression amount of the decompression device;

[0027] Step 3: Dynamically adjust the cooling capacity based on the cooling capacity quantification model: Build a cooling capacity quantification model based on the negative phase deviation of the current healing state analysis value and the current amount of accumulated liquid to dynamically adjust the cooling capacity of the refrigeration mechanism;

[0028] Step 4, obtain the alarm trigger information of the alarm trigger component and correct the dynamically adjusted cooling capacity: increase the dynamically adjusted cooling capacity at a ratio of 0.5 based on the product of the number of alarms in the observation window of the alarm trigger component and the average duration of each alarm, and the dynamic adjustment is maintained for a preset observation window duration, and after the alarm is lifted, the cooling capacity is reduced by the set step size to restore to the cooling capacity obtained in step 3.

[0029] As a further solution of the present invention, the decompression mechanism includes a cavity, a piston is provided in the cavity, a non-magnetic spring is provided between the piston and the cavity, an electromagnet is provided on the cavity wall, an iron column is provided on the end of the piston, a connecting pipe is connected to the side wall of the cavity and the thermal insulation elastic bag, the electromagnetic switch is electrically connected to the electromagnet through the control motherboard, the refrigeration mechanism includes an air cavity, and a plurality of semiconductor refrigeration plates are connected to the side wall of the air cavity, the cold end of each semiconductor refrigeration plate extends into the thermal insulation elastic bag, the hot end of each semiconductor refrigeration plate is located in the air cavity, a micro fan is provided in the air cavity, an air inlet and an air outlet are provided on the cavity wall of the air cavity, the semiconductor refrigeration plate and the micro fan are electrically connected to the control motherboard, and in the dynamic adjustment module, the decompression adjustment amount of the decompression mechanism is dynamically adjusted according to the healing state of the postoperative wound, the outflow information of the effusion and blood, and the swallowing action information:

[0030] The decompression quantitative model obtained in step 2 is used to adjust the displacement of the piston using a proportional adjustment mechanism based on the difference between the target healing state analysis value and the current healing state analysis value acquired in real time, and the weighted sum of the effusion and blood outflow rates acquired by the pressure monitoring mechanism, and the energization intensity of the electromagnet is adjusted based on the integral level of the swallowing frequency and the swallowing amplitude; the cooling capacity of the refrigeration mechanism is controlled;

[0031] Through the revised cooling capacity quantification model obtained in step 4, the cooling plates are grouped and independently controlled based on the wound area and healing stage. The cooling plates in each group are powered on and off as needed according to the wound healing status value, redness and swelling, and fluid accumulation amount, and the micro fan speed is adjusted to maintain the cooling efficiency and energy consumption of the cooling plates within the set threshold range.

[0032] The technical effects and advantages of the wound compression data analysis system for post-thyroid surgery of the present invention are as follows:

[0033] The present invention combines wound images collected by a camera with multi-source sensor data to analyze the reduction in wound area, edge regularity, and redness and swelling index in real time. It automatically adjusts the parameters of the decompression mechanism and the refrigeration mechanism based on the patient's swallowing movements, fluid accumulation and blood outflow information, and local pressure feedback. The image analysis module is used to extract wound area and edge features, calculate healing status indicators, and then, through the dynamic adjustment module, regulates the displacement of the decompression piston and the power on and off of the refrigeration plate based on the difference between the preset target value and the real-time data. At the same time, the speed of the micro fan is dynamically adjusted to ensure that the cooling effect and energy consumption control achieve the best balance, thereby improving patient comfort and clinical management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a block diagram of a wound compression data analysis system for post-thyroid surgery according to the present invention;

[0035] Figure 2 Flowchart for dynamic adjustment of refrigeration capacity and pressure reduction capacity involved in the present invention

[0036] Figure 3 The present invention relates to a schematic diagram of the prior art Figure 1 ;

[0037] Figure 4 The present invention relates to a schematic diagram of the prior art Figure 2 ;

[0038] Figure 5 The present invention relates to a schematic diagram of the prior art Figure 3 ;

[0039] Figure 6 The present invention relates to a schematic diagram of the prior art Figure 4 ;

[0040] Figure 7 This is a screenshot of the monitoring and control interface of the system proposed in the present invention;

[0041] In the figure: 1 base, 2 wound compression mechanism, 201 plastic metal frame, 202 heat-insulating elastic bag, 203 water, 204 round hole, 205 skin-friendly fabric frame, 206 curved rod, 4 swallowing detection mechanism, 401 soft connecting belt, 402 arc-shaped contact plate, 403 mounting groove, 404 piezoelectric film, 406 arc-shaped skin-friendly pad, 407 hard contact rod, 408 amplifying circuit board, 409 electromagnetic switch, 5 pressure relief mechanism, 501 cavity, 5 02 piston, 503 non-magnetic spring, 504 electromagnet, 505 iron column, 506 connecting pipe, 6 drainage pipe hole, 7 pressure monitoring mechanism, 8 refrigeration mechanism, 801 air cavity, 802 semiconductor refrigeration plate, 803 micro fan, 804 air inlet, 805 air outlet, 9 trigger alarm component, 901 normally open solenoid valve, 902 automatic temperature switch, 903 buzzer, 904 electric heating rod, 10 control main board, 11 power-off delay relay. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0043] Example 1

[0044] like Figure 1As shown, the present invention proposes a wound compression data analysis system for thyroid surgery, including a base 1, on which are installed a wound compression mechanism 2, a swallowing detection mechanism 4, and a control mainboard 10. A drainage tube hole is opened in the center of the side wall of the base 1, the wound compression mechanism 2 is connected to a decompression mechanism 5 and a refrigeration mechanism 8, the refrigeration mechanism 8 is equipped with a trigger alarm component, and is connected to a pressure monitoring mechanism 7, the wound compression mechanism 2 includes a plastic metal frame 201, a heat-insulating elastic bag 202, a skin-friendly fabric frame 205, and a curved rod 206, the control mainboard 10 is connected to the wound compression mechanism 2, the swallowing detection mechanism 4, the refrigeration mechanism 8, and the pressure monitoring mechanism 7, and a camera is also provided on the base 1. The camera is used to collect real-time pictures of the patient's wound area after thyroid surgery. The camera is connected to the control mainboard 10, and the control mainboard 10 is provided with an image analysis module. The image analysis module uses computer vision technology to analyze the wound area based on different healing stages. The appearance characteristics of the wound of the segment are compared, the postoperative image is compared with the standard wound healing image, and the healing status is quantified by the healing area, the contraction degree of the wound edge, and the redness and swelling of the wound. The pressure monitoring mechanism 7 is connected to the pressure analysis module. The pressure monitoring mechanism 7 obtains the drainage volume in the drainage hole 6, and monitors the fluid accumulation and blood outflow at the wound in real time. The swallowing action detection mechanism, the trigger alarm component, the pressure monitoring mechanism 7, and the image analysis module are all connected to the dynamic adjustment module. The dynamic adjustment module is connected to the decompression mechanism 5 and the refrigeration mechanism 8. The dynamic adjustment module is also connected to the comprehensive analysis module. The dynamic adjustment module dynamically adjusts the decompression adjustment amount of the decompression mechanism 5 and the refrigeration capacity of the refrigeration mechanism 8 according to the postoperative wound healing status, fluid accumulation and blood outflow information, and swallowing action information to ensure the compression effect on the wound after surgery. The comprehensive analysis module comprehensively evaluates the healing effect of the wound after surgery based on the data analysis of the dynamic adjustment module.

[0045] The present invention adds an image analysis module, a dynamic adjustment module and a comprehensive analysis module on the existing basis, so that the system can provide more comprehensive data collection and refined analysis for the special position and movement impact of the wound after thyroid surgery, and the local inflammatory response; the image analysis module obtains the precise healing area, edge regularity and degree of redness and swelling, and evaluates the wound status in real time; the dynamic adjustment module flexibly adjusts the decompression and cooling measures according to these data, and quickly responds to dynamic changes such as swallowing movements and fluid outflow; the comprehensive analysis module combines multiple indicators to comprehensively evaluate the healing effect, providing a scientific basis for medical intervention, thereby significantly improving the accuracy of compression control, the efficiency of wound recovery and the comfort of the patient's postoperative experience, and solving the problems of slow response, inaccurate evaluation and poor individual adaptability in traditional systems.

[0046] It should be noted that the thermal insulation elastic bag 202 is mounted within the plastic metal frame 201 and is filled with liquid 203. The thermal insulation elastic bag 202, liquid 203, and the medical tape applied to the patient's postoperative wound are all transparent. The camera is mounted above the base 1, directly facing the postoperative wound area. This arrangement allows the camera to directly capture a clear image of the postoperative wound, avoiding optical interference caused by opaque coverings. The transparent thermal insulation elastic bag 202 and liquid 203 do not obscure the wound area, facilitating the accurate capture of detailed information such as the wound's surface color, contour, and texture, thereby improving the image analysis module's accuracy in identifying wound healing progress, degree of redness and swelling, and marginal contraction.

[0047] like Figure 3 and Figure 4 As shown, the wound compression mechanism 2 mentioned in the present invention is specifically: the wound compression mechanism 2 includes a plastic metal frame 201, a heat-insulating elastic bag 202 is installed inside the plastic metal frame 201, and the inside of the heat-insulating elastic bag 202 is filled with water 203, and the heat-insulating elastic bag 202 is provided with a circular hole 204, and the outer wall of the plastic metal frame 201 is fixedly sleeved with a skin-friendly fabric frame 205, and the side wall of the plastic metal frame 201 is fixedly installed with two curved rods 206, and the base 1 is fixedly installed between the two curved rods 206. The swallowing detection mechanism 4 involved in the present invention is specifically as follows: the swallowing detection mechanism 4 includes a group of soft connecting belts 401 fixedly arranged on the side wall of the plastic metal frame 201, and the same group of soft connecting belts 401 are fixedly installed with an arc-shaped resistance plate 402, the side wall of the arc-shaped resistance plate 402 is provided with a mounting groove 403, and a piezoelectric film 404 is fixedly installed inside the mounting groove 403, the side wall of the arc-shaped resistance plate 402 is fixedly installed with an arc-shaped skin-friendly pad 406, and the side wall of the arc-shaped skin-friendly pad 406 is fixedly plugged with a hard resistance rod 407, the piezoelectric film 404 is in contact with the rod end of the hard resistance rod 407, the side wall of the arc-shaped resistance plate 402 is installed with an amplifying circuit board 408, the side wall of the base 1 is fixedly installed with an electromagnetic switch 409, and the piezoelectric film 404 is electrically connected to the electromagnetic switch 409 through the amplifying circuit board 408.

[0048] Example 2

[0049] Different from the first embodiment, this embodiment specifically describes the specific process of how to obtain effective analysis data in the image analysis module.

[0050] In the image analysis module, the wound area contour is extracted from the image acquired by the camera, and the center point of its contour area is calculated. The wound area contour is then divided into several parts from the center point at a set number of segments and equal angles. The point set of the current wound contour of each segment is extracted and compared with the wound contour of the current healing stage of the standard healing image. The similarity between the current contour segment and the corresponding contour segment of the standard healing image is calculated and used as the wound regularity. The average Euclidean distance between the two is calculated as the wound edge deviation. Based on the different wound compression requirements at different healing stages and the different importance of regularity and deviation, a dynamic weight function of wound regularity and wound edge deviation is constructed to obtain the total contraction degree concerned by the wound compression requirement. The total contraction degree concerned by the wound compression requirement is formulated as follows:

[0051] S(t)=ω U (s)·U(t)+(1-ω U (s))·[1-E(t)]

[0052] Where: t is the current moment, S(t) is the total contraction required by the wound compression at the current moment, s is the normalized wound healing time, ω U (s) is the dynamic weight function of the regularity index of the current healing time, U(t) is the wound regularity obtained by image analysis at the current moment, and E(t) is the wound edge deviation obtained by image analysis at the current moment.

[0053] This method can capture subtle changes in local contraction and overall regularity of the wound by accurately extracting the wound contour and analyzing its morphological characteristics segment by segment, providing more detailed healing indicators than overall area reduction. This segment-by-segment similarity analysis based on standard healing images can maintain high reliability and stability even in the complex dynamic environment unique to thyroid surgery (such as swallowing, frequent head movements, etc.). The weights of regularity and edge deviation at different stages are adjusted through a dynamic weight function to more flexibly adapt to the healing needs and stage characteristics of wounds after thyroid surgery, ensure that data analysis is more targeted, and significantly improve the accuracy of wound status assessment and clinical guidance value, thereby supporting more precise compression adjustment and healing optimization strategies.

[0054] It should be noted that in the image analysis module, the dynamic weight function in the total contraction degree formula of the wound compression requirement is divided into three stages: early inflammation stage, proliferation granulation stage, and mature remodeling stage. The influence of the wound regularity obtained by image analysis at the current moment on the total contraction degree of concern for the wound compression requirement is dynamically adjusted. The formula of the dynamic weight function is:

[0055]

[0056] Where a is the rising inflection point adjustment parameter, which corresponds to the normalized time when the early inflammatory stage ends and the proliferation and granulation stage begins; b is the falling inflection point adjustment parameter, which corresponds to the normalized time when the proliferation and granulation stage ends and the mature and remodeling stage begins; k1 and k2 are the steepness adjustment parameters for setting the threshold range of the dynamic weight function near points a and b, respectively.

[0057] The dynamic weight function accurately reflects the changing demands of different healing stages by adjusting the influence of wound regularity in the overall contraction assessment in stages. The weight is lower in the early inflammatory stage to prevent premature interference of regularity in the assessment results. The weight increases rapidly in the proliferative granulation stage, highlighting the importance of edge contraction and tissue growth in healing progression. The weight gradually decreases in the mature remodeling stage, allowing other indicators (such as reduced redness and swelling, and reduced area) to become more dominant in the assessment results. By using a sigmoid function to smoothly adjust the weights at stage transition points, the transition process is smooth and continuous, ensuring a smoother and more continuous wound assessment. Ultimately, this staged, dynamically adjusted weight function improves the sensitivity and adaptability of wound healing status data analysis, makes the compression adjustment strategy more scientific and reasonable, optimizes wound recovery, and reduces the risk of complications, significantly enhancing the system's clinical practicality and patient experience after surgery.

[0058] It should be noted that in the dynamic weight function formula of the image analysis module, the wound images continuously taken by the camera are used to extract the curve of the wound area changing with the normalized time. The normalized time point when the wound area reduction rate begins to be greater than the set significant contraction threshold is found on the curve as a, and the normalized time point when the wound area reduction rate begins to be less than the set slow contraction threshold is found as b. According to the time interval of image acquisition and the curve of the change of wound area, the actual healing time axis of the patient is normalized and compared with the curve of the standard healing area changing with the normalized time to obtain the corresponding k1 and k2.

[0059] By analyzing continuously captured wound area change curves and determining the normalized time points of significant and slowed contraction, the critical time parameters a and b for stage switching can be precisely defined. The dynamic weight function is then smoothly adjusted at key stages of wound healing to ensure a smooth transition without abrupt jumps. The introduction of a normalized time axis aligns the actual healing process of different patients with the standard curve, thereby accommodating individual differences and precisely setting k1 and k2 at different stages of wound recovery to adjust the steepness and sensitivity of the dynamic weight function. This approach enhances the adaptability and flexibility of the evaluation model, significantly improves the accuracy of wound status data analysis, and provides a more stable foundation for scientific compression regulation strategies.

[0060] It should be noted that in the image analysis module, the degree of wound redness and swelling after thyroid surgery is obtained by the dynamic weighted sum of the wound redness and wound swelling obtained through image analysis. The formula for wound redness and swelling is:

[0061] I(t)=α(t)R(t)-(1-α(t))Z(t)

[0062] Where: I(t) is the wound redness index, R(t) is the wound redness. The image of the wound area is captured by a camera, the red channel component of the wound area is extracted, and the average intensity of the red channel in the area is calculated and normalized. Z(t) is the wound swelling degree. Based on the wound area captured by the camera, the segmentation contour of the wound area in the current image is compared with the segmentation contour at the previous time point to obtain the area change rate. The depth information is used to measure the mean and variance of the skin protrusion height relative to the surrounding area within a circular range with a set radius centered on the contour area. The product of the area change rate, the mean skin protrusion height, and the variance of the skin protrusion height is used as the wound swelling degree. α(t) is the redness weight at the current time t. It is dynamically adjusted according to the current wound healing stage and combined with the feedback of wound pressure.

[0063] This calculation method combines the redness and swelling of the wound through dynamic weighting, making the redness and swelling index more sensitive and accurate in reflecting the real-time level of inflammation in the wound. The average intensity of the red channel captured by the camera directly quantifies the severity of the redness, while the calculation of the swelling is based on the area change rate and the height distribution characteristics of the wound area, fully reflecting the three-dimensional changes in the wound. The dynamic weighted design of the redness and swelling can automatically adjust the contribution ratio of redness and swelling according to the healing stage, thereby highlighting the key indicators at different stages. Through this calculation method, the inflammatory state of the wound can be assessed in a timely and accurate manner, providing a scientific basis for subsequent compression intensity and cooling strategies.

[0064] It should be noted that in the wound redness formula of the image analysis module, the base values ​​of the redness weight at the current moment are 0.3, 0.5, and 0.7 in the early inflammation stage, proliferation granulation stage, and mature remodeling stage, respectively. Feedback adjustment is performed based on the base values ​​and combined with the current wound pressure. The dynamic adjustment formula of the redness weight at the current moment is:

[0065] α(t)=α base (t)-k p (P(t)-P th )

[0066] Where: α base (t) is the redness weight base value of the current wound healing order, k pis the feedback adjustment coefficient, which is set within the set margin based on the response characteristics and dynamic range of the pressure sensor and the control stability. P(t) is the current postoperative wound pressure value, and P th Empirically set a safe pressure threshold for capillary closure.

[0067] This dynamic adjustment method organically combines healing stage and wound pressure data to more accurately reflect the relative importance of redness in the current healing state. By setting the initial value of the redness weight based on the healing stage and adjusting it moderately in combination with real-time pressure feedback, it can highlight the key role of redness in the assessment during the early inflammatory stage, balance the effects of redness and swelling during the proliferative granulation stage, and further enhance the indicative significance of redness during the mature and remodeling stage. This dynamic adjustment mechanism enhances the sensitivity of the wound redness and swelling formula to clinical changes, making the assessment results more consistent with the actual healing process and ultimately optimizing guidance on compression intensity and cooling strategies.

[0068] It should be noted that in the image analysis module, the wound healing status is comprehensively evaluated by combining the changing trends of wound area healing progress, wound edge contraction, and redness and swelling. The wound healing status analysis formula is:

[0069]

[0070] Where: H(t) is the wound healing status analysis value after thyroid surgery at the current moment, H A (t) is the healing area progress analysis value at the current moment, Among them, A init is the initial area of ​​the wound area, A(t) is the area of ​​the current wound area, N is the number of segments set for the wound contour area, i is the index of the number of segments of the wound contour, S i (t) is the total contraction degree of the i-th contour segment at the current moment, β1, β2, and β3 are the weights of the wound healing area, edge contraction degree, and redness and swelling degree, respectively, which are obtained through regression analysis based on the patient's historical healing data, and β1+β2+β3=1.

[0071] By combining the changing trends of wound area progression, edge contraction, and redness and swelling, the formula can comprehensively reflect different aspects of wound healing: area progression provides quantification of the macroscopic degree of healing, edge contraction reveals the flatness of the tissue boundary and the quality of healing, and redness and swelling reflects the degree of wound inflammation and the strength of the local reaction. The weights are adjusted through regression analysis of historical healing data to ensure that the formula can automatically adjust the importance of indicators according to the actual healing stage, highlighting the changes in redness and swelling in the early inflammatory stage, emphasizing the smoothness of the edges and reduced area in the proliferation stage, and focusing more on overall contraction in the mature remodeling stage. In general, the wound healing status analysis formula improves the accuracy and adaptability of wound status assessment, provides more scientific data support for the dynamic adjustment module, and thus optimizes the compression intensity and the timing of cooling strategy intervention.

[0072] It should be noted that if Figure 5 As shown, in the dynamic adjustment module, the process of dynamically adjusting the decompression adjustment amount of the decompression mechanism 5 and the cooling capacity of the cooling mechanism 8 according to the postoperative wound healing state, fluid accumulation and blood outflow information, and swallowing action information includes:

[0073] Step 1, data acquisition and preprocessing: obtain healing status analysis values ​​from the image analysis module, extract real-time drainage volume data from the decompression mechanism 5, obtain swallowing frequency and amplitude changes from the swallowing detection mechanism 4, and perform data preprocessing;

[0074] Step 2: Dynamically adjust the decompression amount based on the decompression amount quantification model: A decompression amount quantification model is constructed based on the difference between the target healing state analysis value and the current healing state analysis value, the effusion and blood outflow values ​​obtained by the pressure monitoring mechanism 7, and the product of the swallowing frequency and the swallowing amplitude to dynamically adjust the decompression amount of the decompression mechanism 5;

[0075] Step 3, dynamically adjusting the cooling capacity based on the cooling capacity quantification model: constructing a cooling capacity quantification model based on the negative phase deviation of the current healing state analysis value and the current amount of accumulated liquid to dynamically adjust the cooling capacity of the cooling mechanism 8;

[0076] Step 4, obtain the alarm trigger information of the alarm trigger component and correct the dynamically adjusted cooling capacity: according to the product of the number of alarms in the observation window of the alarm trigger component 9 and the average duration of each alarm, increase the dynamically adjusted cooling capacity at a ratio of 05, and the dynamic adjustment maintenance time is the preset observation window duration, and after the alarm is lifted, the cooling capacity is reduced by the set step size to restore to the cooling capacity obtained in step 3.

[0077] It should be noted that if Figure 6As shown, the trigger alarm assembly includes a normally open solenoid valve 901 fixedly mounted inside the air inlet 804 and the air outlet 805, and both normally open solenoid valves 901 are electrically connected to the fixed copper block and the movable copper block. An automatic temperature switch 902 is fixedly mounted inside the air cavity 801, a buzzer 903 is fixedly plugged into the side wall of the base 1, and an electric heating rod 904 is fixedly mounted inside the air cavity 801, and the electric heating rod 904 is connected in series with the two normally open solenoid valves 901. A power-off delay relay 11 is fixedly mounted inside the air cavity 801, and the automatic temperature switch 902 is electrically connected to the power-off delay relay 11 via the control motherboard 10, and the control motherboard 10 is electrically connected to the buzzer 903 via the power-off delay relay 11.

[0078] This step-by-step dynamic adjustment method collects real-time data from multiple sources, including healing status, fluid and blood outflow, and swallowing frequency, and combines it with quantitative models to continuously adjust decompression and cooling parameters. This enables precise dynamic control of compression intensity and cooling effectiveness. By constructing quantitative models of decompression and cooling capacity, and taking into account changes in the healing stage and the impact of the patient's swallowing movements on the wound, the dynamic adjustment module can rapidly respond to changes in wound inflammation, fluid accumulation, and drainage volume while maintaining appropriate compression, optimizing cooling intensity and effectively alleviating patient discomfort. A triggering alarm component further enhances the system's sensitivity and responsiveness, ensuring immediate intensive cooling in the event of significant anomalies to help control the spread of inflammation or alleviate acute discomfort. At the same time, a gradual return to conventional cooling strategies occurs once conditions return to normal, avoiding excessive intervention. This adjustment process significantly enhances the intelligence of the healing process, reduces the operational burden on medical staff, and improves patient comfort and recovery efficiency after surgery.

[0079] Example 3

[0080] Different from Example 1 and Example 2, this embodiment is based on the existing disclosed invention patents and the data obtained by combining the schemes of Example 1 and Example 2 to guide the description of the specific execution components of the pressure reducing mechanism 5 and the refrigeration mechanism 8.

[0081] It should be noted that the base 1 is internally installed with a decompression mechanism 5 connected to the wound compression mechanism 2, such as Figure 5 and Figure 6As shown, the decompression mechanism 5 includes a cavity 501, a piston 502 is provided in the cavity 501, a non-magnetic spring 503 is provided between the piston 502 and the cavity 501, an electromagnet 504 is installed on the cavity wall of the cavity 501, an iron column 505 is installed on the end of the piston 502, and a connecting pipe 506 is commonly connected between the cavity 501 and the side wall of the thermal insulation elastic bag 202. The electromagnetic switch 409 is electrically connected to the electromagnet 504 through the control motherboard 10. After the electromagnet 504 is powered off, the non-magnetic spring 503 pushes the piston 502 to slowly move back and reset to prevent the water 203 from moving back too quickly and causing impact on the wound. A refrigeration mechanism 8 is installed on the side wall of the base 1. The refrigeration mechanism 8 is used to cool the wound compression mechanism 2. The refrigeration mechanism 8 includes an air cavity 801, and a plurality of semiconductor refrigeration sheets 802 are plugged into the side wall of the air cavity 801. The cold end of each semiconductor refrigeration sheet 802 extends into the thermal insulation elastic bag 202, and the hot end of each semiconductor refrigeration sheet 802 is located in the air cavity 801. A micro fan 803 is installed in the air cavity 801. The cavity wall of the air cavity 801 is provided with an air inlet 804 and an air outlet 805. The semiconductor refrigeration sheet 802 and the micro fan 803 are both electrically connected to the control main board 10. The micro fan 803 works to dissipate the temperature of the hot end of the semiconductor refrigeration sheet 802 in a timely manner, so that the temperature inside the air cavity 801 will not continue to rise due to the heat dissipated by the semiconductor refrigeration sheet 802. In the dynamic adjustment module, the decompression adjustment amount of the decompression mechanism 5 is dynamically adjusted according to the postoperative wound healing status, fluid accumulation and blood outflow information, and swallowing action information:

[0082] The decompression quantitative model obtained in step 2 is based on the difference between the target healing state analysis value and the current healing state analysis value collected in real time, the pressure monitoring mechanism 7 (the setting of the pressure monitoring mechanism is as follows Figure 6As shown, the pressure monitoring mechanism 7 includes a fixed support wheel assembly 701 fixedly arranged on the lower side wall of the drainage tube hole 6, and a movable extrusion wheel assembly 702 arranged obliquely is provided on the upper side of the drainage tube hole 6. An insulating movable block 703 is fixedly installed at the end of the movable extrusion wheel, and a fixed groove 704 is provided on the hole wall of the drainage tube hole 6. The insulating movable block 703 is located in the inner sliding arrangement of the fixed groove 704. A movable copper block 705 is fixedly installed on the top of the insulating movable block 703, and a group of insulating pads 706 are fixedly installed on the bottom of the fixed groove 704, and the group of insulating pads 706 are jointly installed with a fixed copper block 707. Through the inclined design of the movable extrusion wheel assembly 702, it can Regardless of whether the person is sitting up or lying down, the weighted sum of the effusion and blood outflow obtained by gravity squeezing the tube body in the drainage tube hole 6 can be used to adjust the displacement of the piston 502 through a proportional adjustment mechanism, and the power intensity of the electromagnet 504 is adjusted based on the integral level of the swallowing frequency and the swallowing amplitude; the cooling capacity process of the refrigeration mechanism 8 is the modified cooling capacity quantification model obtained through step 4. Based on the wound area and healing stage, the cooling plates are grouped and independently controlled. The power on and off of the cooling plates of each group are determined as needed according to the wound healing status value, redness and swelling, and the amount of effusion, and the speed of the micro fan 803 is adjusted to maintain the cooling efficiency and energy consumption of the cooling plate within the set threshold range.

[0083] The pressure-reducing mechanism 5 within the base 1 precisely regulates the liquid 203 within the thermally insulating elastic bag 202 by controlling the displacement of the piston 502. When the electromagnet 504 is energized, the piston 502 compresses the liquid in a controlled manner, satisfying the compression requirements of the postoperative wound. When the power is off, the non-magnetic spring 503 slowly pushes the piston 502 back to its original position, preventing the rapid backflow of the liquid 203 from impacting the wound, thereby improving the stability and safety of the compression process. Simultaneously, the cooling mechanism 8 on the sidewall of the base 1 rapidly dissipates heat through the semiconductor cooling plate 802 and micro-fan 803 within the air cavity 801, ensuring that the interior of the thermally insulating elastic bag 202 remains at a low temperature. In the dynamic adjustment module, the displacement of the piston 502 is precisely adjusted through a proportional adjustment mechanism based on real-time collected healing status analysis values ​​and pressure monitoring data, enabling the pressure-reducing mechanism 5 to flexibly respond to changes in fluid accumulation and blood outflow. According to the frequency and amplitude of swallowing, the power intensity of the electromagnet 504 is adjusted to optimize the decompression speed and strength to adapt to the dynamic impact of the patient's swallowing action, further improving the adaptability and comfort of postoperative compression. For the cooling process, by independently controlling the power on and off of the cooling plate in groups, the cooling range and intensity can be adjusted as needed according to the wound area, healing stage and degree of redness and swelling to prevent overcooling or overheating. Combined with the optimization strategy of the dynamic adjustment module, the speed of the micro fan 803 is dynamically adjusted according to the real-time cooling demand, which effectively improves the cold end temperature control efficiency of the cooling plate and reduces unnecessary energy consumption. In this process, through the precise coordination of the decompression mechanism 5 and the cooling mechanism 8, the stability and safety of the wound compression are significantly improved, and the cooling performance and energy consumption management are optimized.

[0084] It should be noted that the comprehensive analysis module combines the real-time data of the dynamic adjustment module, including the area of ​​the healing area, the degree of edge contraction, the redness and swelling index, the change in drainage volume and the frequency of swallowing movements, and uses computer vision algorithms and data modeling analysis technology to comprehensively evaluate the progress of wound healing, the effect of pressure adjustment and the impact of cooling measures. At the same time, combined with the adjustment frequency of the wound compression mechanism 2, the decompression mechanism 5 and the refrigeration mechanism 8, a comprehensive evaluation value of wound healing is generated to obtain data to intuitively judge the analysis data of the current dynamic adjustment of healing.

[0085] Specifically, in the comprehensive analysis module, the formula for the dynamic adjustment analysis value of wound healing is:

[0086]

[0087] Where: H da (t) is the comprehensive evaluation of wound healing, j is the dynamic adjustment mechanism index, where the decompression mechanism 5 is 1, the cooling mechanism 8 is 2, and the wound compression mechanism 2 is 3. M is the total number of dynamic adjustment mechanisms, which is equal to 3. jis the weight influence coefficient related to the adjustment frequency of the jth dynamic adjustment mechanism. The weights of the decompression mechanism 5, the cooling mechanism 8 and the wound compression mechanism 2 are 0.4, 0.1 and 0.5 respectively. i (t) is the adjustment frequency of the jth dynamic adjustment mechanism.

[0088] By introducing the adjustment frequency influencing factors of each dynamic adjustment mechanism, the comprehensive wound healing evaluation value H is calculated by the formula da (t) In order to more accurately reflect the overall recovery of the wound and the actual effect of the adjustments made by each mechanism, the comprehensive influence of wound healing status indicators and dynamic adjustment frequency is combined, so that the system can not only judge the progress of healing, but also quantify the potential interference of frequent adjustments of each mechanism on the stability of healing. j and f i (t) Provides a quantitative method to guide how to optimize and adjust strategies to reduce the adverse effects of frequent operations on wound healing.

[0089] like Figure 7 The figure shows the control interface of the system proposed in the present invention. The control interface integrates real-time photos of the patient's wound, local magnified views and core indicator panels. It presents key information such as healing rate, pressure, drainage rate and redness and swelling index through image analysis and data modeling, and intuitively reflects the healing progress and dynamic adjustment effect with trend curves and radar charts. Check the edge integration and formula analysis results, and use the slider on the right to adjust the compression force, decompression amount and target threshold in real time. The system automatically generates a comprehensive evaluation value based on the swallowing frequency, drainage volume changes and the adjustment frequency of the compression mechanism and refrigeration mechanism to assist medical staff in judging the quality of wound recovery and adjusting intervention measures in a timely manner, thereby improving postoperative management efficiency and patient comfort.

[0090] In summary, the present invention combines wound images collected by the camera and multi-source sensor data to analyze the reduction in wound area, edge regularity and redness and swelling index in real time, and automatically adjusts the parameters of the decompression mechanism and the refrigeration mechanism according to the patient's swallowing movements, fluid accumulation and blood outflow information and local pressure feedback. The image analysis module is used to extract the wound area and edge features, calculate the healing status index, and then through the dynamic adjustment module, according to the difference between the preset target value and the real-time data, the decompression piston displacement and the power on and off of the refrigeration plate are regulated, and the speed of the micro fan is dynamically adjusted to ensure that the cooling effect and energy consumption control achieve the best balance, thereby improving patient comfort and clinical management efficiency.

[0091] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0092] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A wound compression data analysis system for post-thyroid surgery, comprising a base (1), the base (1) being equipped with a wound compression mechanism (2), a swallowing detection mechanism (4), and a control mainboard (10), a drainage tube hole being provided at the center of a side wall of the base (1), the wound compression mechanism (2) being connected to a decompression mechanism (5) and a refrigeration mechanism (8), the refrigeration mechanism (8) being equipped with a trigger alarm component and being connected to a pressure monitoring mechanism (7), the wound compression mechanism (2) comprising a plastic metal frame (201), a heat-insulating elastic bag (202), a skin-friendly fabric frame (205), and a curved rod (206), characterized in that: The base (1) is also provided with a camera, which collects images of the wound area after thyroid surgery in real time and is connected to the control main board (10). The control main board (10) is provided with an image analysis module. The image analysis module compares the wound healing image after surgery with the standard wound healing image based on the wound appearance characteristics to quantify the healing state. The pressure monitoring mechanism (7) is connected to the pressure analysis module. The pressure monitoring mechanism (7) obtains drainage volume, wound effusion, and blood outflow information. The swallowing action detection mechanism, the trigger alarm component, the pressure monitoring mechanism (7), and the image analysis module are all connected to a dynamic adjustment module. The dynamic adjustment module is connected to the decompression mechanism (5) and the refrigeration mechanism (8), and is also connected to a comprehensive analysis module. The dynamic adjustment module dynamically adjusts the decompression adjustment amount and the refrigeration amount according to the healing state, effusion and blood outflow information, and swallowing action information. The comprehensive analysis module analyzes the healing effect of the wound based on the data of the dynamic adjustment module.

2. According to the wound compression data analysis system for post-thyroid surgery of claim 1, the thermal insulation elastic bag (202) is installed inside the plastic metal frame (201), and the thermal insulation elastic bag (202) is filled with water (203), characterized in that: The heat-insulating elastic bag (202), the water (203), and the medical tape applied to the patient's postoperative wound are all transparent, and the camera is installed above the base (1) directly facing the postoperative wound area.

3. The wound compression data analysis system for post-thyroid surgery according to claim 2, characterized in that: In the image analysis module, the wound area contour is extracted from the image obtained by the camera, and the center point of its contour area is calculated. Then, the wound area contour is divided into several parts from the center point at a set number of equal angles. The point set of the current wound contour of each segment is extracted and compared with the wound contour of the current healing stage of the standard healing image. The similarity between the current contour segment and the corresponding contour segment of the standard healing image is calculated and used as the wound regularity. The average Euclidean distance between the two is calculated as the wound edge deviation. Based on the different wound compression requirements at different healing stages, the importance of regularity and deviation is different. A dynamic weight function of wound regularity and wound edge deviation is constructed to obtain the total contraction degree that is concerned by the wound compression requirement.

4. The wound compression data analysis system for post-thyroid surgery according to claim 3, characterized in that: In the image analysis module, the dynamic weight function in the total contraction degree formula of wound compression needs is divided into three stages: early inflammation stage, proliferation granulation stage, and mature remodeling stage to dynamically adjust the impact of the wound regularity obtained by image analysis at the current moment on the total contraction degree of concern for wound compression needs.

5. The wound compression data analysis system for post-thyroid surgery according to claim 4, characterized in that: In the dynamic weight function formula of the image analysis module, the wound images continuously captured by the camera are used to extract the curve of the wound area changing with the normalized time. The normalized time point at which the wound area reduction rate begins to be greater than the set significant contraction threshold is found on the curve as a, and the normalized time point at which the wound area reduction rate begins to be less than the set slow contraction threshold is found as b. According to the time interval of image acquisition and the curve of the change of wound area, the actual healing time axis of the patient is normalized and compared with the curve of the standard healing area changing with the normalized time to obtain the corresponding dynamic weight function and set the steepness adjustment parameters k1 and k2 of the threshold range near points a and b.

6. The wound compression data analysis system for post-thyroid surgery according to claim 3, characterized in that: In the image analysis module, the redness and swelling degree of the wound after thyroid surgery is obtained by the dynamic weighted sum of the wound redness and wound swelling obtained through image analysis. The wound redness is obtained by capturing the image of the wound area through the camera, extracting the red channel component of the wound area, and calculating the average intensity of the red channel in the area, and normalizing the result. The wound swelling degree is based on the wound area obtained by the camera. The segmentation contour of the wound area in the current image is compared with the segmentation contour at the previous time point to obtain the area change rate of the area. The depth information is used to measure the mean and variance of the skin protrusion height within a circular range with a set radius with the center of the contour area as the center of the circle relative to the wound. The product of the area change rate, the mean skin protrusion height, and the variance of the skin protrusion height is used as the wound swelling degree. The redness weight at the current moment is dynamically adjusted according to the current wound healing stage and the feedback of the wound pressure.

7. The wound compression data analysis system for post-thyroid surgery according to claim 6, characterized in that: In the wound redness formula of the image analysis module, the redness weight at the current moment has basic values ​​of 0.3, 0.5, and 0.7 in the early inflammation stage, proliferating granulation stage, and mature remodeling stage, respectively. Feedback adjustment is performed based on the basic value and combined with the current wound pressure. The feedback adjustment coefficient is based on the response characteristics and dynamic range of the pressure sensor, and is set within the set margin in accordance with the control stability.

8. The wound compression data analysis system for post-thyroid surgery according to claim 6, characterized in that: In the image analysis module, the wound healing status is obtained by combining the change trends of wound area healing progress, wound edge contraction and redness and swelling, and the weights of wound healing area, edge contraction and redness and swelling according to the patient's historical healing data through regression analysis.

9. The wound compression data analysis system for post-thyroid surgery according to claim 6, characterized in that: In the dynamic adjustment module, the process of dynamically adjusting the decompression adjustment amount of the decompression mechanism (5) and the cooling capacity of the cooling mechanism (8) according to the postoperative wound healing state, fluid accumulation and blood outflow information, and swallowing action information includes: Step 1, data acquisition and preprocessing: obtain the healing status analysis value from the image analysis module, extract the real-time drainage volume data from the decompression mechanism (5), obtain the swallowing frequency and amplitude changes from the swallowing detection mechanism (4), and perform data preprocessing; Step 2, dynamically adjusting the decompression amount based on the decompression amount quantification model: constructing a decompression amount quantification model based on the difference between the target healing state analysis value and the current healing state analysis value, the effusion and blood outflow flow values ​​obtained by the pressure monitoring mechanism (7), and the product of the swallowing frequency and the swallowing amplitude, so as to dynamically adjust the decompression amount of the decompression mechanism (5); Step 3, dynamically adjusting the cooling capacity based on a cooling capacity quantification model: constructing a cooling capacity quantification model based on the negative phase deviation of the current healing state analysis value and the current amount of accumulated liquid to dynamically adjust the cooling capacity of the cooling mechanism (8); Step 4, obtain the alarm trigger information of the alarm trigger component and correct the dynamically adjusted cooling capacity: according to the product of the number of alarms in the observation window of the alarm trigger component (9) and the average duration of each alarm, increase the dynamically adjusted cooling capacity at a ratio of 0.5, and the dynamic adjustment maintenance duration is the preset observation window duration, and after the alarm is lifted, the cooling capacity is reduced by the set step length to restore to the cooling capacity obtained in step 3.

10. A wound compression data analysis system for post-thyroid surgery according to claim 9, wherein the decompression mechanism (5) includes a cavity (501), a piston (502) is provided in the cavity (501), a non-magnetic spring (503) is provided between the piston (502) and the cavity (501), an electromagnet (504) is provided on the wall of the cavity (501), an iron column (505) is provided on the end of the piston (502), a connecting pipe (506) is connected to the side wall of the cavity (501) and the thermal insulation elastic bag (202), and the electromagnetic switch (409) is electrically connected to the electromagnet (504) through the control mainboard (10). The refrigeration mechanism (8) includes an air cavity (801), and a plurality of semiconductor refrigeration sheets (802) are plugged into the side wall of the air cavity (801), the cold end of each semiconductor refrigeration sheet (802) extends into the thermal insulation elastic bag (202), the hot end of each semiconductor refrigeration sheet (802) is located in the air cavity (801), a micro fan (803) is installed in the air cavity (801), and the cavity wall of the air cavity (801) is provided with an air inlet (804) and an air outlet (805), the semiconductor refrigeration sheet (802) and the micro fan (803) are electrically connected to the control main board (10), and is characterized in that, In the dynamic adjustment module, the decompression adjustment amount of the decompression mechanism (5) is dynamically adjusted according to the postoperative wound healing state, fluid accumulation and blood outflow information, and swallowing action information: The displacement of the piston (502) is adjusted by a proportional adjustment mechanism based on the difference between the target healing state analysis value and the current healing state analysis value acquired in real time and the weighted sum of the effusion and blood outflow rates acquired by the pressure monitoring mechanism (7) using the decompression quantity quantification model obtained in step 2, and the power supply intensity of the electromagnet (504) is adjusted based on the integral level of the swallowing frequency and the swallowing amplitude; the cooling capacity of the cooling mechanism (8); The modified cooling capacity quantification model obtained in step 4 is used to independently control the groups of cooling plates based on the wound area and healing stage. The cooling plates of each group are powered on and off as needed according to the wound healing status value, redness and swelling, and the amount of fluid accumulation. The speed of the micro fan (803) is adjusted to maintain the cooling efficiency and energy consumption of the cooling plates within the set threshold range.

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