Skin expansion process management method and related equipment

Abstract

The invention discloses a skin expansion process management method and related equipment. The method comprises the following steps: acquiring current image information of an expanded skin area, and determining color distribution information of the expanded skin area based on the image information; acquiring tissue fluctuation data of different point positions of the expanded skin area and temperature distribution information of the expanded skin area; and determining and evaluating the health degree and the water injection effect of the expanded skin area based on the color distribution information, the tissue fluctuation data and the temperature distribution information of the expanded skin area so as to send the health degree and the water injection effect to an associated medical care platform or a medical care terminal. The problems that an existing water injection auxiliary device for the dilator only solves pressure control and water flow control in the water injection process, the dilated skin cannot be dynamically evaluated, and personalized protection cannot be achieved through mode unification can be solved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of smart medical care, and more specifically, the present invention relates to a skin expansion process management method and related equipment. Background Art

[0002] In 1957, Neumann et al. first reported the SET technique and applied it to the reconstruction of the skin and soft tissue in the auricle area. In the first stage of ear reconstruction, a dilator is buried behind the ear to obtain a sufficient amount of high-quality skin. In clinical work, it is found that during the skin expansion process, because the skin dilator is injected with water starting on the 8th day after surgery, and the injection is ≥2 times a week, the interval is short, and the skin after expansion has not been well repaired and grown, and it is subjected to the pressure of water injection and expansion, thereby increasing the complications such as dilator exposure, rupture and necrosis of the expanded skin flap, and hematoma. If irreparable complications occur, the treatment purpose may not be achieved, and new injuries may occur, increasing the difficulty of the later surgery and seriously affecting the effect of the second and third stage ear reconstruction, increasing the treatment cycle and treatment costs, and causing psychological pressure on both doctors and patients.

[0003] Currently, the expander water injection auxiliary device only solves the pressure control and water flow control during water injection, and cannot perform a dynamic assessment of the expanded skin. The unified model cannot achieve personalized, precise and real-time protection. Summary of the invention

[0004] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0005] In order to solve the problem that the current expander water injection auxiliary device only solves the pressure control and water flow control during water injection, cannot dynamically evaluate the expanded skin, and the unified mode cannot achieve personalized protection, in the first aspect, the present invention proposes a skin expansion process management method, the above method includes:

[0006] acquiring current image information of the expanded skin area to determine color distribution information of the expanded skin area based on the image information;

[0007] Acquire tissue fluctuation data at different points of the expanded skin area and temperature distribution information of the expanded skin area;

[0008] Based on the color distribution information, tissue fluctuation data and temperature distribution information of the expanded skin area, the health degree and water injection effect of the expanded skin area are determined and evaluated, so as to send the health degree and water injection effect to the associated medical care platform or medical care terminal.

[0009] Optionally, also include:

[0010] During the water injection process, skin image information, tissue fluctuation data and temperature distribution information of the expanded skin area are continuously obtained, and the real-time health of the expanded skin area is evaluated based on the skin image information, tissue fluctuation data and temperature distribution information, so as to calculate and adjust the expander water injection capacity and injection speed in real time.

[0011] Optionally, also include:

[0012] Based on the tissue fluctuation data at different points of the expanded skin area and the depth image information of the expanded skin area, a three-dimensional expanded skin morphology is constructed, and three-dimensional modeling of the expanded skin area is performed through the reverse modeling technology;

[0013] The temperature distribution information of the expanded skin area and the color distribution information of the expanded skin area are fused into the three-dimensional model of the expanded skin area.

[0014] Optionally, also include:

[0015] obtaining abnormal tension of the expanded skin area based on the three-dimensional model;

[0016] The health of the dilated skin sub-area is evaluated based on the temperature data, color data and tissue fluctuation data of the dilated skin sub-area associated with the abnormal tension.

[0017] Optionally, also include:

[0018] generating target expansion recovery information when there is an abnormality in the health of the expanded skin sub-region;

[0019] The expander water injection capacity and water injection speed are adjusted based on the target expansion recovery information.

[0020] Optionally, the step of obtaining tissue fluctuation data at different points in the expanded skin area includes:

[0021] A preset pressure is applied to different points of the expanded skin area, and tissue fluctuation data at different points of the expanded skin area after the preset pressure is applied is obtained.

[0022] Optionally, the step of fusing the temperature distribution information of the expanded skin area and the color distribution information of the expanded skin area into the three-dimensional model of the expanded skin area includes:

[0023] Extracting skin color distribution features based on the color distribution information, wherein the skin color distribution features include RGB values ​​or HSV values;

[0024] Using the color feature as a texture map and superimposing it on the surface of the three-dimensional model;

[0025] Convert the temperature distribution into a pseudo-color thermal map to fuse the thermal map information with the 3D model surface according to the coordinate position;

[0026] Using three-dimensional visualization technology, the shape, color and temperature of the expanded skin are displayed in a superimposed form.

[0027] In a second aspect, the present invention further provides a skin expansion process management device, comprising:

[0028] a first acquisition unit, configured to acquire current image information of the expanded skin area, so as to determine color distribution information of the expanded skin area based on the image information;

[0029] A second acquisition unit is used to acquire tissue fluctuation data at different points of the expanded skin area and temperature distribution information of the expanded skin area;

[0030] An evaluation unit is used to determine and evaluate the health and water injection effect of the expanded skin area based on the color distribution information, tissue fluctuation data and temperature distribution information of the expanded skin area, so as to send the health and water injection effect to an associated medical care platform or medical care terminal.

[0031] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the skin expansion process management method of any one of the first aspects described above when executing the computer program stored in the memory.

[0032] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the skin expansion process management method according to any one of the above items in the first aspect is implemented.

[0033] In summary, the skin expansion process management method proposed in the present application obtains the current image information of the expanded skin area to determine the color distribution information of the expanded skin area based on the image information; obtains the tissue fluctuation data of different points in the expanded skin area and the temperature distribution information of the expanded skin area; determines and evaluates the health and water injection effect of the expanded skin area based on the color distribution information, tissue fluctuation data and temperature distribution information of the expanded skin area, so as to send the health and water injection effect to the associated medical care platform or medical care end. Thus, through multimodal data fusion, the skin state is monitored in real time to avoid blind water injection and ensure the health of the expanded skin. Reduce the incidence of high-risk events such as skin necrosis, hematoma, and inflammation, thereby improving the first-stage success rate of ear reconstruction. Reduce the possibility of expansion failure and secondary surgery, shorten the overall treatment cycle, and reduce treatment costs. Provide transparent dynamic evaluation data to relieve the psychological pressure of both doctors and patients and enhance the patient treatment experience.

[0034] The skin expansion process management method of the present invention, other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will be understood by technicians in this field through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0036] Figure 1 A schematic diagram of a process flow of a skin expansion process management method provided in an embodiment of the present application;

[0037] Figure 2 A schematic diagram of the structure of a skin expansion process management device provided in an embodiment of the present application;

[0038] Figure 3 A schematic diagram of the structure of an electronic device for managing the skin expansion process provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0040] In order to solve the problem that the current expander water injection auxiliary device only solves the pressure control and water flow control during water injection, cannot dynamically evaluate the expanded skin, and the unified mode cannot provide personalized protection, please refer to Figure 1 , is a flow chart of a skin expansion process management method provided in an embodiment of the present application, which may specifically include: steps S110 to S130.

[0041] S110, acquiring current image information of the expanded skin area to determine color distribution information of the expanded skin area based on the image information.

[0042] S120, acquiring tissue fluctuation data at different points of the expanded skin area and temperature distribution information of the expanded skin area.

[0043] S130, determining and evaluating the health and water injection effect of the expanded skin area based on the color distribution information, tissue fluctuation data and the temperature distribution information of the expanded skin area, so as to send the health and water injection effect to an associated medical care platform or medical care terminal.

[0044] It is understandable that the health status of the expanded skin and the effect of water injection are dynamically evaluated through the comprehensive analysis of image information, tissue fluctuation data, and temperature distribution information. The core is to use multimodal information feedback to solve the problem of insufficient dynamic evaluation in traditional methods, so as to achieve personalized protection and optimize the treatment process. Among them, the color distribution of the expanded skin reflects the local blood supply and tissue health status of the skin. For example: normal skin: uniform ruddy or flesh-colored. Abnormal area: cyanosis (blue-purple) may indicate ischemia; erythema may indicate inflammation; yellow-white may indicate necrosis. Image information is analyzed by computer vision algorithms or deep learning models to extract color distribution characteristics. The subtle fluctuations of skin tension are captured by pressure sensors, tissue stress testing devices or acoustic sensors: high-frequency fluctuations: the skin may be in a high-tension state and there is a risk of rupture. Low-frequency fluctuations: may indicate decreased skin elasticity or weak tissue healing ability. Data feedback helps adjust the water injection speed and pressure. Infrared thermal imaging or temperature sensors monitor the temperature distribution on the surface of the expanded area: normal temperature: normal tissue metabolism; low temperature area: may indicate ischemia or blood supply disorder; high temperature area: may indicate local inflammation or infection. Based on the above three types of information, a comprehensive health score of the expansion area is obtained through multi-dimensional data fusion and machine learning algorithms. At the same time, combined with dynamic evaluation methods (such as time series analysis), the long-term impact of the water injection process on the skin is analyzed to ensure the safety and efficiency of skin expansion.

[0045] Exemplarily, a high-resolution camera or handheld scanning device is used to obtain an image of the expanded skin area. The image is input into an image processing algorithm to extract color distribution features (such as RGB values ​​or HSV values) and analyze the distribution ratio of abnormal color areas. For example, if more than 10% of the cyanotic area appears in the expanded skin area, the system prompts that there may be an ischemic risk and recommends slowing down the water injection speed or suspending the expansion. A pressure sensor is placed in the expansion area to measure the fluctuation data of the skin in static and dynamic states. The fluctuation data is analyzed in the frequency domain to extract the characteristic frequency and amplitude to determine the tension and elastic state of the skin. For example, after the expander is injected with water in the third week, if the fluctuation amplitude continues to be higher than the safety threshold (such as 0.5mm pressure fluctuation), it may indicate that the skin stress is too large and the expansion plan needs to be adjusted appropriately. A non-contact infrared thermal imager is used to obtain a temperature heat map of the expansion area. By analyzing the temperature distribution by partition, it is detected whether there are abnormally low or high temperature areas. For example, after the second week of water injection, if the local temperature is found to be lower than 35°C, it indicates that there may be insufficient blood supply, and local heat preservation or adjustment of the water injection frequency is required. Input color distribution, tissue fluctuation and temperature data into the multimodal fusion model. Output a comprehensive health score (such as 0-100 points) and classify it into three levels: "normal", "warning" and "dangerous". Based on the scoring results, generate a personalized water injection plan, including water injection volume, frequency and pressure adjustment recommendations. Record each data collection result during the expansion process to form time series data. Use machine learning algorithms (such as LSTM models) to predict future expansion states and avoid potential risks in advance. For example, if the prediction model shows that the next water injection may cause skin tension to exceed the safety threshold, the system will prompt in advance to reduce the water injection volume or extend the water injection interval.

[0046] In some examples, the method further includes: obtaining blood vessel visualization or dilated skin blood flow information at different points in the dilated skin area to evaluate the health of the dilated skin area and the water injection effect.

[0047] It is understandable that by obtaining vascular visualization and blood flow information in the expanded skin area, the local blood supply status can be more accurately assessed, the expansion strategy can be optimized, and the risk of complications can be reduced. This program introduces innovative technologies and cross-domain methods to further enhance the depth and comprehensiveness of health assessment.

[0048] It should be noted that non-invasive imaging techniques (such as multispectral imaging or near-infrared imaging) can be used to obtain images of blood vessel distribution under dilated skin in real time. Combined with three-dimensional model technology, the vascular network is mapped to the three-dimensional model of the dilated skin to intuitively present the abnormal blood vessel distribution area to achieve vascular visualization. Dynamic blood flow imaging technology (such as laser Doppler imaging or photoacoustic imaging) can also be used to obtain real-time blood flow data in the dilated skin area. Analyze the blood flow velocity, blood volume and flow direction to evaluate whether the blood supply meets the needs of skin expansion. Finally, the vascular distribution and blood flow information can be combined with the tension, temperature, color and other data of the dilated skin to evaluate the health status of the skin through a multimodal fusion model. Provide positioning and risk prompts for abnormal blood supply areas to provide support for subsequent adjustments to the water injection strategy.

[0049] Exemplarily, blood vessel visualization can be obtained through multispectral imaging, for example, by analyzing the reflection intensity of light of different wavelengths after penetrating the skin, the subcutaneous blood vessel distribution can be identified, which has the characteristics of high resolution and non-invasiveness. It can also be obtained through near-infrared imaging, for example, by using the high penetration of near-infrared light to obtain clear images of subcutaneous blood vessels, which is suitable for deep blood vessel imaging and real-time monitoring. Photoacoustic imaging can also be used, that is, by inducing thermal elastic expansion through laser pulses, to obtain high-contrast images of the vascular network, which has high resolution and can distinguish between oxygenated hemoglobin and deoxygenated hemoglobin. Then, the characteristics such as vascular density and distribution uniformity are extracted. For example, in normal areas, the vascular network is evenly distributed and has high density; while in abnormal areas, the blood vessels are sparse or partially broken, indicating insufficient blood supply.

[0050] Exemplarily, blood flow information can be obtained by laser Doppler imaging (LDI), that is, detecting the scattering changes of moving red blood cells to lasers to obtain real-time blood flow velocity and flow, which is non-invasive and can be monitored in real time. Optical coherence tomography (OCT) can also be used, that is, based on low-coherence light interference, to obtain three-dimensional blood flow images of skin microcirculation, which has the characteristics of high resolution and can monitor tiny blood flows. It can also be based on dynamic light scattering imaging, that is, by analyzing the fluctuations in the intensity of dynamic scattered light, to obtain the blood flow characteristics of the expanded skin area. Then, the blood flow velocity and blood flow characteristics are extracted. For example, in normal areas, the blood flow velocity is stable and the flow is sufficient; while in abnormal areas, the blood flow velocity slows down or stagnates, indicating the risk of ischemia. Finally, the vascular distribution and blood flow information are integrated with the tension, temperature, and color distribution data in the three-dimensional model. Deep learning models (such as convolutional neural networks and temporal networks) are used to fuse multimodal data and calculate comprehensive health scores. For example, the evaluation indicators can include: blood vessel density and distribution, low density or uneven distribution indicates high risk; blood flow velocity and flow, velocity lower than normal or insufficient local flow indicates ischemia. Then, various indicators are integrated through a weight algorithm to output a health score.

[0051] In summary, the skin expansion process management method provided by the embodiment of the present application obtains the patient identity information of the admitted patient, and queries the patient medical record information of the admitted patient based on the patient identity information; selects the associated health education content information based on the condition indicated by the patient medical record information; and sends the health education content information to the patient user terminal associated with the patient identity information. Thus, the entire process is based on the individual condition of the patient, and highly personalized health education can be achieved. The information received by the patient is related to his condition, avoiding information overload and ineffective education. Through systematic management and push, patients can obtain the required health knowledge at the right time, improving learning efficiency and knowledge mastery. Automated health education management reduces the time and energy of nursing staff to explain repeatedly, allowing them to devote more time to direct nursing work. Digital education content is easy to understand and review, and patients can view it repeatedly as needed, which helps to reduce the anxiety and confusion of patients and improve the overall hospitalization experience. And it can save material costs, reduce the printing and distribution of paper materials, be environmentally friendly and easier to spread, and can be browsed and shared repeatedly.

[0052] According to some embodiments, further comprising:

[0053] During the water injection process, skin image information, tissue fluctuation data and temperature distribution information of the expanded skin area are continuously obtained, and the real-time health of the expanded skin area is evaluated based on the skin image information, tissue fluctuation data and temperature distribution information, so as to calculate and adjust the expander water injection capacity and injection speed in real time.

[0054] It is understandable that, in combination with skin image information, tissue fluctuation data, and temperature distribution information, the system continuously collects and processes in real time, and outputs the real-time health status of the expanded skin. Based on skin images, color changes can be quickly identified to capture immediate changes in health status (such as abnormal color expansion areas). By analyzing pressure fluctuations in real time, the pressure-bearing state of the skin can be evaluated. Based on temperature distribution, skin blood supply and metabolic changes can be dynamically monitored to quickly detect abnormalities. Based on real-time evaluation results, the injection parameters (capacity and speed) are dynamically adjusted through algorithms to establish a feedback control system: normal health: maintain current injection parameters; decreased health: gradually reduce the injection capacity or slow down the injection speed; severe decrease in health: immediately suspend injection and issue a warning. The closed-loop process of data monitoring and evaluation - adjusting injection - re-monitoring ensures that the safety status of the expanded skin is always controllable.

[0055] Exemplarily, a high frame rate camera is used to capture images of the expansion area at intervals of seconds. An image algorithm is used to analyze the color distribution in real time and identify areas with abnormal blood supply. For example, if the cyanosis area in the color distribution increases by more than 10%, the system is immediately marked as "warning". Use a pressure sensor or other tissue dynamic monitoring equipment to collect changes in the surface tension of the expanded skin in real time. The pressure state of the skin is determined by frequency domain analysis or stress distribution model. For example, if the skin pressure fluctuation value exceeds the safety threshold (such as 0.8mmHg), the system automatically reduces the injection speed or capacity. Use an infrared sensor to continuously monitor the surface temperature of the expansion area. Detect the range and trend of the temperature abnormality zone to determine whether there is a risk of ischemia or inflammation. For example, if the temperature is below 35°C, the expansion area shows poor blood supply, and the system automatically adjusts the injection plan. The three types of information collected are input into the multimodal data fusion model to calculate the comprehensive health score. For example, the score range: 0-100 points. Health threshold: ≥70: good health status, normal water injection; 50-69: mild warning, it is recommended to slow down the water injection speed or volume; <50: high-risk state, it is recommended to suspend water injection. Use machine learning algorithms (such as decision trees or neural networks) to output health assessment results based on real-time data and generate water injection adjustment suggestions. For example, in normal status (≥70 points): water injection is carried out according to plan, such as increasing 5ml each time, and the speed is 0.5ml / min. In warning status (50-69 points): the system automatically adjusts the water injection parameters: reduce the water injection volume (such as reducing it to 3ml). Reduce the water injection speed (such as reducing it to 0.2ml / min). In high-risk status (<50 points): suspend water injection, issue an alarm to remind medical staff, and record abnormal data. Based on historical data and real-time health scores, dynamically adjust subsequent water injection plans to optimize expansion efficiency. Store real-time collected data and water injection adjustment records to form a time series. Optimize the health assessment model and water injection control strategy through regression analysis of historical data. In this way, accurate management of the water injection process is achieved to avoid sudden complications. By adjusting the injection parameters in real time, the risks of skin rupture, necrosis, hematoma, etc. can be reduced. The injection plan can be dynamically adjusted according to the patient's skin condition to avoid the "one-size-fits-all" model and improve the expansion effect. Through intelligent adjustment, the expansion cycle can be shortened, and the treatment cost and psychological pressure can be reduced.

[0056] In some examples, the property information includes shape and texture, and also includes:

[0057] Based on the tissue fluctuation data at different points of the expanded skin area and the depth image information of the expanded skin area, a three-dimensional expanded skin morphology is constructed, and three-dimensional modeling of the expanded skin area is performed through the reverse modeling technology;

[0058] The temperature distribution information of the expanded skin area and the color distribution information of the expanded skin area are fused into the three-dimensional model of the expanded skin area.

[0059] It is understandable that the changes in skin surface tension and texture information are collected to capture the dynamic morphology of the skin during expansion. Through a depth camera or laser scanning technology, the depth distribution data of the expanded skin is obtained to describe the surface morphology and thickness changes of the skin. Using inverse modeling technology, a three-dimensional morphological model of the expanded skin area is generated based on the depth image and tissue fluctuation data. The depth image can be converted into a three-dimensional point cloud. A three-dimensional surface model is generated through a point cloud fitting algorithm (such as triangular mesh reconstruction or B-spline surface). The real-time collected fluctuation data is superimposed on the model to show the dynamic changes in skin morphology. The color distribution of the expansion area is mapped to the surface of the three-dimensional model to reflect the blood supply and tissue health status. Using infrared thermal imaging data, the temperature distribution is converted into a heat map and superimposed on the three-dimensional model to reflect the local metabolism or inflammation.

[0060] Exemplarily, a structured light scanner, a ToF depth camera (Time-of-Flight) or a laser radar is used to obtain a depth image of the expansion area. For example, the depth resolution should reach 0.1-0.5 mm to accurately describe the morphological details of the expanded skin. The tension fluctuation data on the skin surface is collected by a pressure sensor or an acoustic sensor. For example, the data collection frequency is 10-50 times per second to capture dynamic changes. Color information is collected by an RGB camera. Temperature information is collected by an infrared thermal imaging device. Using the depth image data, point cloud data of the skin expansion area is generated. The tissue fluctuation data is superimposed on the point cloud model to form a dynamic point cloud. The point cloud data is converted into a three-dimensional surface using an inverse modeling algorithm (such as Delaunay triangulation or Poisson surface reconstruction). Ensure that the model can reflect the changes in skin curvature and thickness. The tissue fluctuation data and depth data collected in real time are updated in time series to construct a dynamic three-dimensional model of the skin morphology during the expansion process. Extract skin color distribution features (such as RGB values ​​or HSV values). The color features are used as texture maps and superimposed on the surface of the three-dimensional model. The temperature distribution is converted into a pseudo-color heat map. According to the coordinate position, the thermal map information is integrated with the 3D model surface to intuitively reflect the temperature changes in different parts. Using 3D visualization technology, the shape, color and temperature of the expanded skin are displayed in an overlay form to provide comprehensive information for evaluation. Thus, a real-time updated 3D model is constructed to provide a panoramic view of the expanded skin, helping doctors to more intuitively evaluate the skin condition. The shape, color, temperature and tissue fluctuation information are unified into the 3D model to improve the accuracy of the evaluation. According to the dynamic changes of the 3D model, the water injection strategy is accurately adjusted to optimize the expansion effect.

[0061] In some examples, this also includes:

[0062] obtaining abnormal tension of the expanded skin area based on the three-dimensional model;

[0063] The health of the dilated skin sub-area is evaluated based on the temperature data, color data and tissue fluctuation data of the dilated skin sub-area associated with the abnormal tension.

[0064] It is understandable that based on the curvature changes and expansion dynamic data of the three-dimensional model surface, the tension distribution of each point on the skin surface can be calculated. The tension value is compared with the safety threshold (for example, the upper limit of normal skin tension), and the area exceeding the threshold is marked as the abnormal tension area. The abnormal tension area is associated with the temperature data, color data and tissue fluctuation data for analysis to locate the sub-area where health risks may exist. These data comprehensively reflect the blood supply, metabolism and mechanical properties of the skin. Combining tension, temperature, color and tissue fluctuation, the comprehensive health score (0-100 points) of the expanded skin sub-area is calculated. As the expansion process progresses, the health score is updated in real time to detect and intervene in abnormal areas in a timely manner.

[0065] Exemplarily, the curvature change of each point can be calculated based on the three-dimensional model surface through three-dimensional curvature analysis to infer the local tension distribution. Formula: T(x,y,z)=E·K(x,y,z), where T(x,y,z) is the tension value, E is the elastic modulus of the skin, and K(x,y,z) is the curvature value. Combined with tissue fluctuation data, the dynamic tension change of the skin during expansion is calculated. The tension value is compared with the preset safety threshold (for example, tension exceeding 120% of the normal value is abnormal). Mark the abnormal tension area and generate a tension heat map. Extract the temperature distribution data corresponding to the abnormal tension area. Analyze whether there is temperature abnormality (for example, below 35.5°C may indicate ischemia, and above 37.5°C may indicate inflammation). Extract the color distribution information corresponding to the abnormal tension area. Determine whether there is color abnormality (such as cyanosis, erythema, pallor, etc.). Extract the tissue fluctuation characteristics of the abnormal tension area. If the fluctuation amplitude increases significantly, it indicates that the local skin may be at risk of excessive mechanical load. The health score of the abnormal tension area is calculated by using a comprehensive scoring method using multimodal data fusion: H = w1·T n +w2·C n +w3·V n +w4·D n , where H is the health score (0-100 points), T n is the normalized value of tension data, C n is the normalized value of color data, V n is the normalized value of temperature data, D nis the normalized value of tissue fluctuation data, and w1, w2, w3, and w4 are weights, which can be adjusted dynamically according to the importance of the data. Then the health level can be graded. For example, ≥70 points: good health status, no special intervention required. 50-69 points: mild abnormality, it is recommended to slow down the expansion speed or reduce the water injection volume. <50 points: high-risk area, it is necessary to suspend water injection and take intervention measures (such as local warming, improving blood supply, etc.). Therefore, abnormal tension detection combined with multimodal information helps to quickly locate high-risk areas of expanded skin to avoid damage. Real-time health scores guide the dynamic adjustment of expansion plans and improve the safety and efficiency of expansion. Through comprehensive evaluation and personalized management, the occurrence of complications such as skin necrosis and hematoma can be reduced. Through three-dimensional visualization and intelligent evaluation, the doctor's judgment process for complex expansion situations is simplified.

[0066] In some examples, this also includes:

[0067] generating target expansion recovery information when there is an abnormality in the health of the expanded skin sub-region;

[0068] The expander water injection capacity and water injection speed are adjusted based on the target expansion recovery information.

[0069] Exemplarily, through health score analysis (such as a score below 50 points), identify abnormalities in the expanded skin sub-area. The causes of abnormalities may include excessive tension, insufficient blood supply (temperature abnormality), inflammation (color abnormality) or mechanical damage (abnormal tissue fluctuation). Determine the target state of skin expansion recovery (such as the health score is restored to ≥70 points). Provide targeted intervention suggestions, including: adjusting the water injection capacity and speed of the expander. Auxiliary measures (such as local warming, tissue massage, blood supply improvement, etc.). According to the target expansion recovery information, dynamically adjust the water injection strategy so that the expanded skin gradually returns to the target state. A closed-loop feedback mechanism is used to monitor the effect of the adjustment in real time. Thus, personalized recovery information is generated for specific problems in the abnormal area to avoid a "one-size-fits-all" expansion strategy. By dynamically adjusting the water injection strategy, the risks of excessive tension and insufficient blood supply are reduced, and the safety of the expansion process is improved. Accurately control the water injection parameters and auxiliary interventions to accelerate the recovery of the expanded skin and shorten the overall treatment cycle. Through intelligent health monitoring and real-time adjustment, the risk of expansion failure is reduced and the psychological pressure of both doctors and patients is reduced.

[0070] Exemplarily, a health score is generated by combining color, temperature, tissue fluctuation and tension data. For example, the health score is less than 50 points, or a specific indicator (such as a temperature below 35.5°C) exceeds the abnormal threshold. Abnormal areas are marked by a three-dimensional model. For example, the health score of the upper right area is 45 points, indicating excessive tension and insufficient local blood supply. According to the characteristics of the expansion area and the expansion plan, a recovery goal is set: Target health score: For example, a score ≥ 70 points. Local parameter recovery: The temperature is restored to 35.5-37°C. The color distribution is restored to uniformity, without cyanosis or erythema. Tissue fluctuation and tension are restored to normal ranges. Generate intervention recommendations Generate personalized expansion recovery plans based on the causes of abnormal health: For abnormal tension: It is recommended to reduce the injection volume (such as from 5ml to 3ml) and reduce the injection speed (such as from 0.5ml / min to 0.2ml / min); For insufficient blood supply: It is recommended to suspend water injection. Provide auxiliary suggestions (such as local warming or drugs to improve blood supply). Inflammation or mechanical damage: Extend the interval between water injections (e.g., from twice a week to once a week). It is recommended to cooperate with skin repair methods (e.g., massage, anti-inflammatory treatment). Dynamically update the water injection parameters based on the target expansion recovery information: reduce the water injection volume to reduce tension (e.g., from 5ml to 3ml). Reduce the water injection speed to reduce expansion pressure (e.g., from 0.5ml / min to 0.2ml / min). Continuously monitor the changes in health after adjustment. If the target state is not achieved, further optimize the water injection strategy or implement auxiliary interventions.

[0071] In some examples, obtaining tissue fluctuation data at different points of the expanded skin area includes:

[0072] A preset pressure is applied to different points of the expanded skin area, and tissue fluctuation data at different points of the expanded skin area after the preset pressure is applied is obtained.

[0073] It is understandable that the method of applying a preset pressure may not be adopted, because the skin itself will produce natural small fluctuations due to changes in internal tension or physiological activities such as blood circulation during the expansion process. No additional pressure is applied, and only the skin tension changes caused by the expander or other equipment are relied on. Directly monitor the natural fluctuations of the skin surface or subcutaneous tissue, such as blood flow pulsation, tissue rebound, etc. The dynamic changes of natural fluctuations during the expansion process can be observed. The elasticity and recovery ability of the skin can be judged in combination with the expansion state. However, considering that tissue fluctuations under pressure can more directly reflect the biomechanical properties of skin tissue (such as elasticity, viscoelasticity, and tissue health status). Applying controllable pressure facilitates standardized measurement and has higher repeatability. Therefore, here, a preset pressure is applied to different points in the expanded skin area to obtain tissue fluctuation data at different points in the expanded skin area after the preset pressure is applied. As a result, when the skin is subjected to external pressure, its internal tissue will undergo stress and deformation. This deformation can be manifested as a small movement or elastic fluctuation inside the tissue. A controllable pressure is applied to the skin in the expanded area. The dynamic fluctuations of the skin surface or subcutaneous tissue at different points under pressure are monitored by sensors. The amplitude of fluctuations can reflect the elasticity and rigidity of the tissue. Time delay parameters can be used to determine the speed of pressure transmission and tissue viscoelasticity.

[0074] In some examples, the step of fusing the temperature distribution information of the expanded skin area and the color distribution information of the expanded skin area into the three-dimensional model of the expanded skin area includes:

[0075] Extracting skin color distribution features based on the color distribution information, wherein the skin color distribution features include RGB values ​​or HSV values;

[0076] Using the color feature as a texture map and superimposing it on the surface of the three-dimensional model;

[0077] Convert the temperature distribution into a pseudo-color thermal map to fuse the thermal map information with the 3D model surface according to the coordinate position;

[0078] Using three-dimensional visualization technology, the shape, color and temperature of the expanded skin are displayed in a superimposed form.

[0079] See also Figure 2 An embodiment of the skin expansion process management device in the embodiment of the present application may include:

[0080] A first acquisition unit 21 is used to acquire current image information of the expanded skin area to determine color distribution information of the expanded skin area based on the image information;

[0081] A second acquisition unit 22 is used to acquire tissue fluctuation data at different points of the expanded skin area and temperature distribution information of the expanded skin area;

[0082] The evaluation unit 23 is used to determine and evaluate the health and water injection effect of the expanded skin area based on the color distribution information, tissue fluctuation data and the temperature distribution information of the expanded skin area, so as to send the health and water injection effect to the associated medical care platform or medical care terminal.

[0083] In summary, the skin expansion process management device provided in the embodiment of the present application obtains the current image information of the expanded skin area to determine the color distribution information of the expanded skin area based on the image information; obtains the tissue fluctuation data of different points in the expanded skin area and the temperature distribution information of the expanded skin area; determines and evaluates the health and water injection effect of the expanded skin area based on the color distribution information, tissue fluctuation data and temperature distribution information of the expanded skin area, so as to send the health and water injection effect to the associated medical care platform or medical care end. Thus, through multimodal data fusion, the skin state is monitored in real time to avoid blind water injection and ensure the health of the expanded skin. Reduce the incidence of high-risk events such as skin necrosis, hematoma, and inflammation, thereby improving the first-stage success rate of ear reconstruction. Reduce the possibility of expansion failure and secondary surgery, shorten the overall treatment cycle, and reduce treatment costs. Provide transparent dynamic evaluation data to relieve the psychological pressure of both doctors and patients and improve the patient treatment experience.

[0084] like Figure 3 As shown, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any one of the above-mentioned methods for managing the skin expansion process are implemented:

[0085] acquiring current image information of the expanded skin area to determine color distribution information of the expanded skin area based on the image information;

[0086] Acquire tissue fluctuation data at different points of the expanded skin area and temperature distribution information of the expanded skin area;

[0087] Based on the color distribution information, tissue fluctuation data and temperature distribution information of the expanded skin area, the health degree and water injection effect of the expanded skin area are determined and evaluated, so as to send the health degree and water injection effect to the associated medical care platform or medical care terminal.

[0088] Since the electronic device introduced in this embodiment is a device used to implement a skin expansion process management device in the embodiment of the present application, based on the method introduced in the embodiment of the present application, technical personnel in this field can understand the specific implementation of the electronic device of this embodiment and its various variations, so how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0089] In the specific implementation process, when the computer program 311 is executed by the processor, it can achieve Figure 1 Any implementation method in the corresponding embodiment:

[0090] acquiring current image information of the expanded skin area to determine color distribution information of the expanded skin area based on the image information;

[0091] Acquire tissue fluctuation data at different points of the expanded skin area and temperature distribution information of the expanded skin area;

[0092] Based on the color distribution information, tissue fluctuation data and temperature distribution information of the expanded skin area, the health degree and water injection effect of the expanded skin area are determined and evaluated, so as to send the health degree and water injection effect to the associated medical care platform or medical care terminal.

[0093] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0094] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0095] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0096] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0097] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0098] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of skin expansion process management in the corresponding embodiment.

[0099] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0100] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0101] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0102] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0103] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0104] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0105] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for managing a skin expansion process, characterized in that: include: acquiring current image information of the expanded skin area to determine color distribution information of the expanded skin area based on the image information; Acquire tissue fluctuation data at different points of the expanded skin area and temperature distribution information of the expanded skin area; Based on the color distribution information, tissue fluctuation data and temperature distribution information of the expanded skin area, the health degree and water injection effect of the expanded skin area are determined and evaluated, so as to send the health degree and water injection effect to the associated medical care platform or medical care terminal.

2. The method according to claim 1, characterized in that Also includes: During the water injection process, skin image information, tissue fluctuation data and temperature distribution information of the expanded skin area are continuously obtained, and the real-time health of the expanded skin area is evaluated based on the skin image information, tissue fluctuation data and temperature distribution information, so as to calculate and adjust the expander water injection capacity and injection speed in real time.

3. The method according to claim 1, characterized in that Also includes: Based on the tissue fluctuation data at different points of the expanded skin area and the depth image information of the expanded skin area, a three-dimensional expanded skin morphology is constructed, and three-dimensional modeling of the expanded skin area is performed through the reverse modeling technology; The temperature distribution information of the expanded skin area and the color distribution information of the expanded skin area are fused into the three-dimensional model of the expanded skin area.

4. The method according to claim 3, characterized in that Also includes: obtaining abnormal tension of the expanded skin area based on the three-dimensional model; The health of the dilated skin sub-area is evaluated based on the temperature data, color data and tissue fluctuation data of the dilated skin sub-area associated with the abnormal tension.

5. The method according to claim 4, characterized in that Also includes: generating target expansion recovery information when there is an abnormality in the health of the expanded skin sub-region; The expander water injection capacity and water injection speed are adjusted based on the target expansion recovery information.

6. The method according to claim 1, characterized in that The step of obtaining tissue fluctuation data at different points in the expanded skin area includes: A preset pressure is applied to different points of the expanded skin area, and tissue fluctuation data at different points of the expanded skin area after the preset pressure is applied is obtained.

7. The method according to claim 3, characterized in that The step of fusing the temperature distribution information of the expanded skin area and the color distribution information of the expanded skin area into the three-dimensional model of the expanded skin area includes: Extracting skin color distribution features based on the color distribution information, wherein the skin color distribution features include RGB values ​​or HSV values; Using the color feature as a texture map and superimposing it on the surface of the three-dimensional model; Convert the temperature distribution into a pseudo-color thermal map to fuse the thermal map information with the 3D model surface according to the coordinate position; Using three-dimensional visualization technology, the shape, color and temperature of the expanded skin are displayed in a superimposed form.

8. A skin expansion process management device, characterized in that: include: a first acquisition unit, configured to acquire current image information of the expanded skin area, so as to determine color distribution information of the expanded skin area based on the image information; A second acquisition unit is used to acquire tissue fluctuation data at different points of the expanded skin area and temperature distribution information of the expanded skin area; An evaluation unit is used to determine and evaluate the health and water injection effect of the expanded skin area based on the color distribution information, tissue fluctuation data and temperature distribution information of the expanded skin area, so as to send the health and water injection effect to an associated medical care platform or medical care terminal.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the skin expansion process management method as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the skin expansion process management method according to any one of claims 1 to 7 is implemented.

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