A surgical incision intelligent monitoring method and system

Abstract

The present invention discloses a method and system for intelligent monitoring of surgical incisions, which relates to the technical field of intelligent monitoring methods. The state of the surgical incision is determined according to temperature data, exudate data, tension data, and the corresponding type of surgery, and the overall consideration of temperature data, exudate data, tension data, and the corresponding type of surgery is compatible, thereby ensuring the accuracy of the state of the surgical incision and realizing intelligent monitoring of the surgical incision. If the state of the surgical incision is an abnormal state, the abnormal level is determined based on the temperature data, exudate data, and tension data, and the early warning event of the surgical incision is determined according to the abnormal level and the current image of the surgical incision, further realizing intelligent monitoring of the surgical incision. The corresponding incision repair event is determined according to the early warning event of the surgical incision, the change roadmap of the surgical incision, and the personnel status of the corresponding medical team, thereby ensuring the accuracy of the incision repair event.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring methods, and in particular to a surgical incision intelligent monitoring method and system. Background Art

[0002] With the development of science and technology, patients receive treatment in hospitals and sometimes undergo corresponding operations. Patients will have surgical incisions after the operation. If the operation occurs in the patient's abdominal area, the surgical incision will be made in the abdominal area. In the prior art, the surrounding area of ​​the surgical incision is monitored, and the exudate of the surgical incision is collected. The status of the surgical incision is determined based on the exudate data of the surgical incision. This only controls from a single dimension, which affects the accuracy of the status of the surgical incision. Summary of the invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a method and system for intelligent monitoring of surgical incisions.

[0004] The embodiment of the present invention provides a method for intelligent monitoring of surgical incisions, including: acquiring an image of the surgical incision, and determining a monitoring area around the surgical incision according to the image of the surgical incision and the area where the surgical incision is located;

[0005] Determine the temperature monitoring point according to the monitoring area and the patient's surgical data, and determine the temperature data according to the temperature monitoring point;

[0006] determining exudate data based on an exudate path of the surgical incision relative to the monitoring area, and collecting tension data of the monitoring area;

[0007] Determine the state of the surgical incision according to the temperature data, the exudate data, the tension data and the corresponding surgical type;

[0008] If the state of the surgical incision is abnormal, the abnormality level is determined based on the temperature data, the exudate data, and the tension data, and a warning event of the surgical incision is determined according to the abnormality level and the current image of the surgical incision;

[0009] The corresponding incision repair event is determined based on the early warning event of the surgical incision, the change roadmap of the surgical incision and the personnel status of the corresponding medical team.

[0010] An embodiment of the present invention provides a surgical incision intelligent monitoring system, which is applied to the above-mentioned surgical incision intelligent monitoring method, and the surgical incision intelligent monitoring system includes:

[0011] A monitoring area module is used to collect images of the surgical incision and determine a monitoring area around the surgical incision based on the images of the surgical incision and the area where the surgical incision is located;

[0012] A first data module is used to determine a temperature monitoring point according to a monitoring area and surgical data of a patient, and to determine temperature data according to the temperature monitoring point;

[0013] A second data module is used to determine exudate data based on the exudate path of the surgical incision relative to the monitoring area, and collect tension data of the monitoring area;

[0014] A status module, used to determine the status of the surgical incision according to the temperature data, the exudate data, the tension data and the corresponding surgery type;

[0015] A temperature control module, for determining an abnormality level based on temperature data, exudate data, and tension data if the state of the surgical incision is abnormal, and determining a warning event of the surgical incision based on the abnormality level and a current image of the surgical incision;

[0016] The repair event module is used to determine the corresponding incision repair event based on the early warning event of the surgical incision, the change roadmap of the surgical incision and the personnel status of the corresponding medical team.

[0017] The present invention has the following beneficial effects:

[0018] (1) Capture the image of the surgical incision, and determine the monitoring area around the surgical incision based on the image of the surgical incision and the area where the surgical incision is located; determine the temperature monitoring point based on the monitoring area and the patient's surgical data, and determine the temperature data based on the temperature monitoring point; determine the exudate data based on the exudate path of the surgical incision relative to the monitoring area, and collect the tension data of the monitoring area; determine the state of the surgical incision based on the temperature data, exudate data, tension data and the corresponding surgical type, which is compatible with the overall consideration of temperature data, exudate data, tension data and the corresponding surgical type, ensuring the accuracy of the state of the surgical incision and realizing intelligent monitoring of the surgical incision.

[0019] (2) If the state of the surgical incision is abnormal, the abnormality level is determined based on the temperature data, exudate data, and tension data, and the warning event of the surgical incision is determined based on the abnormality level and the current image of the surgical incision, so as to trigger the corresponding warning based on the warning event, further realizing intelligent monitoring of the surgical incision.

[0020] (3) The corresponding incision repair event is determined based on the early warning event of the surgical incision, the change roadmap of the surgical incision, and the personnel status of the corresponding medical team. The interaction of the early warning event of the surgical incision, the change roadmap of the surgical incision, and the personnel status of the corresponding medical team is realized, ensuring the accuracy of the incision repair event. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1A schematic diagram of an application scenario of a surgical incision intelligent monitoring method in an embodiment;

[0022] Figure 2 is a flow chart of a surgical incision intelligent monitoring method in an embodiment of the present invention;

[0023] Figure 3 It is a schematic diagram of the structural composition of the surgical incision intelligent monitoring system in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0025] The surgical incision intelligent monitoring method provided in this application is applied to Figure 1 In the application environment shown, the computer 102 communicates with the server 104 through the network. The computer 102 is not limited to various personal computers, servers, and intelligent monitoring methods, and the server 104 is implemented by an independent server or a server cluster composed of servers.

[0026] See also Figures 1 to 3 , a surgical incision intelligent monitoring method is applied to the surgical incision intelligent monitoring scene; the surgical incision intelligent monitoring method includes:

[0027] Step S11: collecting an image of the surgical incision, and determining a monitoring area around the surgical incision according to the image of the surgical incision and the area where the surgical incision is located;

[0028] Step S12: determining a temperature monitoring point according to the monitoring area and the surgical data of the patient, and determining temperature data according to the temperature monitoring point;

[0029] Step S13: determining exudate data based on the exudate path of the surgical incision relative to the monitoring area, and collecting tension data of the monitoring area;

[0030] Step S14: determining the state of the surgical incision according to the temperature data, the exudate data, the tension data and the corresponding surgical type;

[0031] Step S15: if the state of the surgical incision is an abnormal state, determining the abnormality level based on the temperature data, the exudate data, and the tension data, and determining a warning event of the surgical incision according to the abnormality level and the current image of the surgical incision;

[0032] Step S16: Determine the corresponding incision repair event according to the early warning event of the surgical incision, the change roadmap of the surgical incision and the personnel status of the corresponding medical team.

[0033] In step S11, an image of the surgical incision is acquired, and a monitoring area around the surgical incision is determined according to the image of the surgical incision and the area where the surgical incision is located;

[0034] In the specific implementation process of the present invention, the specific steps are:

[0035] S111: determining a current position of a surgical incision based on a surgical video of the patient, an abdominal region of the patient, and a type of surgery of the patient; and acquiring an image of the surgical incision according to online monitoring of the current position of the surgical incision;

[0036] S112: determining the contour of the surgical incision based on image processing of the surgical incision image; determining the area where the surgical incision is located according to the contour of the surgical incision and the type of surgery of the patient;

[0037] S113: Determine a monitoring area around the surgical incision based on the area where the surgical incision is located, an image of the surgical incision, and current weather information.

[0038] In an embodiment of the present application, the current position of the surgical incision is determined based on the patient's surgical video, the patient's abdominal area, and the patient's surgery type; the image of the surgical incision is acquired based on the online monitoring of the current position of the surgical incision, thereby realizing the online monitoring of the current position of the surgical incision and ensuring the accuracy of the image of the surgical incision.

[0039] At this point, obtain the patient's surgical video; these videos are usually recorded in the operating room and saved in the hospital's medical record system; when analyzing these videos, focus on the location and size of the incision during the operation and the surgical steps; combined with the patient's abdominal area markings (such as preoperative markings on the skin or anatomical locations determined using medical imaging technology), further confirm the specific location of the surgical incision relative to the patient's abdomen.

[0040] Based on the type of surgery the patient is having (e.g., appendectomy, cesarean section, etc.), understand the common incision locations and characteristics for that type of surgery; this helps verify and refine the information obtained from the surgical video.

[0041] Once the location of the surgical incision is determined, online monitoring devices are used to capture images of the incision; these devices are high-definition cameras, smart medical sensors, etc., which can capture images of the incision in real time or on demand.

[0042] According to the location and size of the surgical incision, set appropriate image acquisition parameters (such as focal length, exposure time, etc.) to ensure that the acquired images are clear and accurate; at the same time, formulate a schedule or trigger conditions for image acquisition (such as timed acquisition, automatic acquisition when abnormal conditions occur in the incision, etc.).

[0043] Specifically, suppose the patient has just undergone an appendectomy; in the surgical video, the surgeon is seen making a small incision in the patient's lower right abdomen; combined with the patient's abdominal area markings (an obvious "X" mark in the lower right abdomen) and the usual incision location for appendectomy (near McBurney's point in the lower right abdomen), it is determined that the current location of the surgical incision is in the patient's lower right abdomen.

[0044] The patient has undergone an appendectomy, and the location of the surgical incision has been determined in the right lower abdomen. Now, a high-definition camera is used as an online monitoring device, which is placed next to the patient's bed, and the focus and exposure time are adjusted to ensure that the image of the incision in the right lower abdomen can be clearly captured. A timed acquisition strategy is set to automatically acquire incision images every 4 hours, and these images are securely stored in the hospital's medical record system.

[0045] Furthermore, the contour of the surgical incision is determined based on image processing of the image of the surgical incision; the area where the surgical incision is located is determined based on the contour of the surgical incision and the type of surgery performed on the patient, which is compatible with the overall consideration of the contour of the surgical incision and the type of surgery performed on the patient, and ensures the accuracy of the area where the surgical incision is located.

[0046] At this point, the collected surgical incision images are preprocessed, including denoising, contrast enhancement, color balance adjustment, etc., to improve image quality and facilitate subsequent contour recognition; edge detection methods (such as Canny edge detection, Sobel operator, etc.) are used to identify the edges of surgical incisions in the image; these methods can detect areas in the image where brightness or color changes significantly, thereby outlining the contour of the incision.

[0047] Based on edge detection, morphological operations (such as dilation, erosion, opening, closing, etc.) are used to optimize the contour of the incision; these operations remove noise, fill small holes, and smooth edges to make the contour more accurate and clear.

[0048] The extracted surgical incision outline is compared with the patient's anatomy to determine the specific position of the incision relative to the patient's body; this is done with reference to auxiliary information such as medical atlases, preoperative CT or MRI images, etc.

[0049] Based on the patient's surgery type, understand the anatomical areas and incision locations that are typically involved in this type of surgery; this helps verify and refine the incision location information extracted from the image; based on the results of anatomical position comparison and surgery type analysis, determine the anatomical area where the surgical incision is located and mark it on the image; this helps with subsequent monitoring and analysis of the area surrounding the incision.

[0050] Specifically, suppose there is a preprocessed image of a patient's incision after appendectomy; using the Canny edge detection method, the edge of the incision in the image can be identified, and a contour line with uneven thickness and some breaks can be obtained; then, the closing operation in the morphological operation is used to fill the broken parts of the contour line, and the expansion operation is used to smooth the edges, finally obtaining a clear and continuous incision contour line.

[0051] A clear outline of the incision after appendectomy has been obtained; by comparing the patient's anatomical structure and the location characteristics of the appendectomy incision, it is determined that the incision is located in the patient's right lower abdomen, near McBurney's point; a marking tool is used to draw a rectangular frame around the incision outline on the image to represent this anatomical area; this rectangular frame will serve as the reference area for subsequent monitoring and analysis.

[0052] Therefore, the monitoring area around the surgical incision is determined based on the area where the surgical incision is located, the image of the surgical incision and the current weather information, which is compatible with the overall consideration of the area where the surgical incision is located, the image of the surgical incision and the current weather information, ensuring the accuracy of the monitoring area around the surgical incision.

[0053] At this point, based on the area where the surgical incision is located determined in step S112, an in-depth understanding of the anatomical structure, tissue type and healing process of the area is obtained; based on the type of surgery and the location of the incision, a preliminary risk area is delineated, which usually includes the incision itself and the potential exudate diffusion area or tension change area around it.

[0054] Analyze the images of surgical incisions and evaluate the healing status, degree of redness and swelling, exudate, etc. of the incisions; dynamically adjust the initially delineated risk areas based on the actual situation in the incision images to ensure that the monitoring area can cover all abnormal areas.

[0055] Obtain real-time weather information, including temperature, humidity, air pressure, wind speed, etc., through reliable weather data sources; analyze the impact of current weather conditions on the healing of surgical incisions, such as high temperature and humidity increase the risk of infection, and low air pressure affects the speed of wound healing; based on the results of weather impact assessments, expand the monitoring area as necessary to cover risk areas increased due to weather factors.

[0056] Specifically, it is assumed that the patient has undergone appendectomy in the right lower abdomen, and the surgical incision has healed to the fifth day; according to step S112, it is determined that the incision is located in the right lower abdomen, and a circular risk area with a radius of about 5 cm and the incision as the center is preliminarily delineated;

[0057] Next, the images of the surgical incision were analyzed; the images showed slight redness and swelling of the skin around the incision, but no obvious exudate was seen; based on this observation, the risk area was slightly enlarged to include the red and swollen area, and its shape was adjusted to an ellipse to better match the actual state of the incision;

[0058] Finally, the current weather information was integrated; assuming that the current weather is hot and humid, such conditions increase the risk of infection; therefore, it was decided to further expand the monitoring area, increase its radius to 7 cm, and pay special attention to the humidity and temperature changes around the incision;

[0059] Based on the above information, we finally determined an elliptical monitoring area with a radius of 7 cm centered on the surgical incision, and paid special attention to the redness, swelling, exudate and potential risks affected by weather in this area. This monitoring area will serve as the basis for subsequent temperature monitoring, exudate analysis and tension data collection.

[0060] In step S12, a temperature monitoring point is determined according to the monitoring area and the surgical data of the patient, and temperature data is determined according to the temperature monitoring point;

[0061] In the specific implementation process of the present invention, the specific steps are:

[0062] S121: Determine the surgical data of the patient based on the surgical type of the patient and the corresponding surgical database; determine multiple surgical positions of the patient according to the surgical data of the patient and the abdominal area of ​​the patient;

[0063] S122: determining temperature monitoring points according to the monitoring area and multiple surgical positions of the patient, and performing real-time monitoring on each temperature monitoring point; and determining temperature data according to the real-time monitoring of each temperature monitoring point;

[0064] S123: Determine the temperature data in an abnormal state according to the traversal of the temperature data, and trigger a review of the temperature monitoring point according to the location of the temperature data in the abnormal state, so as to dynamically optimize the temperature monitoring point.

[0065] In an embodiment of the present application, the patient's surgical data is determined based on the patient's surgical type and the corresponding surgical database; the patient's multiple surgical positions are determined based on the patient's surgical data and the patient's abdominal area, and the patient's surgical data and the patient's abdominal area are introduced to ensure accurate control of the patient's multiple surgical positions.

[0066] At this point, confirm the type of surgery the patient is undergoing, which is usually obtained by reviewing the patient's medical records or asking the surgical team; surgery types include appendectomy, cesarean section, subtotal gastrectomy, etc.; based on the type of surgery, retrieve the corresponding surgery database in the hospital's information system; the surgery database is an electronic warehouse that stores a large amount of surgery-related information, including surgical steps, expected anatomical structures, common complications, required instruments and materials, etc.

[0067] Data matching the patient's surgery type were extracted from the surgical database; these data included the expected incision location, incision size, detailed description of the surgical steps, anatomical variations, etc.

[0068] Before the operation begins, the patient's abdominal area is assessed; this includes examining the patient's skin, subcutaneous tissue, muscle layer, and peritoneum, as well as confirming any preoperatively marked incision locations; the extracted surgical data is matched to the patient's abdominal area; this involves combining the expected incision locations with the actual patient's anatomy, taking into account anatomical variations or individual differences. Based on the matching results of the surgical data and the abdominal area, the actual surgical locations are determined; these locations include the main incision locations as well as any auxiliary incisions or puncture points.

[0069] Specifically, suppose a patient is about to undergo an appendectomy; after the surgical team confirms that the type of surgery is "appendectomy," they retrieve the corresponding surgical database in the hospital's information system; surgical data related to appendectomy are extracted from the database, including the expected incision location near McBurney's point in the right lower abdomen, the incision size is usually 3-5 cm, and the surgical steps include anesthesia, skin incision, finding and removing the appendix, suturing the incision, etc.

[0070] After evaluating the patient's abdominal area, the surgical team found that the skin near McBurney's point in the patient's right lower abdomen was intact, with no inflammation or scarring; combined with the appendectomy data extracted from the surgical database, the surgical team determined that the actual surgical site was near McBurney's point in the right lower abdomen, and the incision size was approximately 4 cm; in addition, due to the additional operating space or field of view of the operation, the surgical team also determined to make a small auxiliary incision near the incision if necessary.

[0071] Therefore, the temperature monitoring points are determined according to the monitoring area and the patient's multiple operating positions, and each temperature monitoring point is monitored in real time; the temperature data is determined based on the real-time monitoring of each temperature monitoring point, thus realizing the real-time monitoring of each temperature monitoring point and ensuring the accuracy of the temperature data.

[0072] At this point, a monitoring area is defined based on the location and size of the surgical incision and the expected scope of surgical impact; this area usually includes the surgical incision itself and the skin and tissue around it; the patient's multiple surgical positions are analyzed to determine the positional relationship of each position relative to the monitoring area; this helps to identify which areas are most affected by the surgical operation, thereby allowing for closer temperature monitoring.

[0073] Based on the definition of the monitoring area and the analysis of the surgical position, temperature monitoring points are arranged at key locations; these points are usually located near the surgical incision, the exudate accumulation area, and any expected anatomical structure changes.

[0074] Select appropriate temperature sensors for each temperature monitoring point; these sensors are patch, probe or wireless, depending on monitoring needs, patient comfort and sensor availability; place temperature sensors at the intended monitoring points and ensure they are properly connected to the central monitoring system or data logging device; this is either wired or wireless, depending on the equipment configuration of the operating room.

[0075] Start the monitoring system and begin to record the data of each temperature monitoring point in real time; this usually involves setting parameters such as sampling frequency, data recording format and alarm thresholds. At the same time, continuously collect data from each temperature monitoring point and record it in the central monitoring system or data recording device; this forms time series data for subsequent analysis and evaluation; analyze and evaluate the collected temperature data; this includes calculating the average temperature, identifying temperature change trends, and checking whether there are any abnormal conditions that exceed the preset alarm thresholds.

[0076] Specifically, assuming that the patient underwent an appendectomy, the surgical incision was located near McBurney's point in the right lower abdomen and was approximately 4 cm in size; based on the location and size of the surgical incision, the surgical team defined a circular monitoring area with a radius of approximately 5 cm centered on the incision; after analyzing the position of the knife, two key temperature monitoring points were identified: one directly above the incision, used to monitor temperature changes on the incision surface; the other was on the side of the incision, close to the area where exudate accumulates.

[0077] The surgical team selected two wireless patch-type temperature sensors, which were placed at the monitoring points directly above and to the side of the incision. These sensors were wirelessly connected to the central monitoring system in the operating room. Before the operation began, the team set up the monitoring system, set the sampling frequency to once per minute, and set high and low temperature alarm thresholds to ensure that abnormal temperatures could be discovered in time. The central monitoring system continuously recorded the temperature data of the monitoring points directly above and to the side of the incision. It was found that the average temperature directly above the incision was slightly higher than the monitoring point on the side, but fluctuated within the normal range. No abnormal conditions exceeding the alarm threshold were observed. The team recorded the analysis results in the patient's medical record and generated a detailed temperature monitoring report for subsequent reference.

[0078] Optionally, the temperature data of abnormal state is determined based on the traversal of the temperature data, and the review of the temperature monitoring point is triggered according to the location of the temperature data of the abnormal state, so as to dynamically optimize the temperature monitoring point and further realize the precise control of the temperature monitoring point.

[0079] At this point, check the data collected by all temperature monitoring points to identify any abnormalities or values ​​that deviate from the normal range; identify temperature data outside the normal range that indicates an abnormal state of the surgical incision or surrounding tissue; conduct further inspection and evaluation of temperature monitoring points marked as abnormal to confirm the existence of the problem and determine its nature; based on the review results and the patient's specific circumstances, adjust the layout and number of temperature monitoring points to improve the accuracy and effectiveness of monitoring.

[0080] Traverse the data collected by all temperature monitoring points; this usually involves comparing the temperature value of each monitoring point with the preset normal range; compare the traversal results with the preset normal range and mark any values ​​outside the range; these values ​​indicate potential problems such as infection, blood circulation disorders, tissue necrosis, etc.; notify the medical team to review the abnormal monitoring points; this involves recalibrating the temperature sensor, adjusting the location of the monitoring points, adding additional monitoring points or performing other necessary inspections; based on the results of the review, make necessary adjustments to the temperature monitoring points; this includes adding new monitoring points to cover potential problem areas, removing no longer necessary monitoring points or adjusting the location of existing monitoring points.

[0081] Specifically, suppose a patient underwent abdominal surgery, and multiple temperature monitoring points were set up in the abdominal area after the operation; on the second day after the operation, the medical team traversed the temperature data and found that the temperature data of one of the monitoring points continued to be higher than the normal range, indicating a risk of infection.

[0082] The medical team immediately triggered a re-examination of the monitoring point; they recalibrated the temperature sensor and added additional monitoring points to more comprehensively assess the infection; the re-examination results showed that the temperature in the area was indeed higher than the normal range, and was accompanied by signs of infection such as redness, swelling and exudate; based on the re-examination results, the medical team dynamically optimized the layout of the temperature monitoring points; they added more monitoring points to cover the entire infected area, and adjusted the positions of existing monitoring points to more accurately reflect temperature changes; at the same time, they started anti-infection treatment and closely monitored the patient's body temperature and incision condition.

[0083] In step S13, exudate data is determined based on the exudate path of the surgical incision relative to the monitoring area, and tension data of the monitoring area is collected;

[0084] In the specific implementation process of the present invention, the specific steps are:

[0085] S131: determining a liquid level monitoring area based on the contour of the surgical incision and the monitoring area, and determining an exudate event according to a liquid signal in the liquid level monitoring area and a current image of the surgical incision;

[0086] S132: In the exudate event, determine the exudate path of the surgical incision relative to the monitoring area according to the liquid level monitoring area, the location of the corresponding liquid signal, and the exudate location of the surgical incision; determine the exudate data according to the monitoring of the exudate path;

[0087] S133: Perform real-time monitoring on the monitoring area; collect tension data of the monitoring area according to the tension monitoring of the monitoring area;

[0088] In an embodiment of the present application, a liquid level monitoring area is determined based on the contour of the surgical incision and the monitoring area, and an exudate event is determined based on the liquid signal in the liquid level monitoring area and the current image of the surgical incision. This combines the overall consideration of the liquid signal in the liquid level monitoring area and the current image of the surgical incision, thereby ensuring the accuracy of the exudate event.

[0089] At this point, the precise outline of the surgical incision is obtained through medical imaging technology (such as CT, MRI, ultrasound or endoscopy); this usually involves imaging the surgical area and identifying the edges of the incision; based on the outline of the surgical incision, a monitoring area is defined that includes the surgical incision and a certain range around it; the size of this monitoring area is usually determined according to the type of surgery, the expected amount of exudate and the anatomical structure of the surgical site.

[0090] Within the monitoring area, one or more fluid level monitoring points or areas are further determined; these points or areas are usually located near the surgical incision, where the presence of exudate is easily observed and can reflect the accumulation of fluid in the surgical area.

[0091] Liquid signals in the liquid level monitoring area are continuously monitored using sensors (such as optical sensors, capacitive sensors, pressure sensors, etc.); these sensors are able to detect changes in the presence, amount, or composition of the liquid; at the same time, current images of the surgical incision are obtained through an endoscope or other imaging device; these images provide an intuitive view of the surgical area and help observe the presence, location, and amount of exudate.

[0092] Combining the fluid signal from the fluid level monitoring area and the image of the surgical incision, the surgical team determines whether an exudate event has occurred; this typically involves analysis of the fluid signal and visual inspection of the surgical incision image to determine the presence, location, and source of the exudate.

[0093] Specifically, suppose a patient is undergoing abdominal surgery with the surgical incision located below the navel; the surgical team first obtains the outline of the surgical incision through ultrasound examination and defines a circular monitoring area with a radius of approximately 10 cm centered on the incision; within this monitoring area, they identify three fluid level monitoring points: one directly below the incision, used to directly monitor fluid accumulation at the incision; the other two are 5 cm on each side of the incision, used to monitor the fluid situation on the sides.

[0094] The surgical team used optical sensors to continuously monitor fluid signals at three fluid-level monitoring points. When the sensor detected fluid signals at the monitoring point directly below the incision, they immediately examined the surgical incision through an endoscope. Endoscopic images showed that there was obvious fluid exudation from the incision, and the fluid was clear in color, indicating that it was tissue fluid or serum. Based on this information, the surgical team determined that an exudate event had occurred and decided to take further measures to deal with the exudate, such as increasing drainage or adjusting the surgical procedure.

[0095] Furthermore, in the exudate event, the exudate path of the surgical incision relative to the monitoring area is determined based on the liquid level monitoring area, the location of the corresponding liquid signal, and the exudate position of the surgical incision; the exudate data is determined based on the monitoring of the exudate path, thereby achieving precise control of the exudate data.

[0096] At this time, in the event of exudate, the liquid signals at each monitoring point in the liquid level monitoring area are first analyzed; these signals include characteristics such as the amount, color, transparency, etc. of the liquid, which provide direct evidence of the existence and distribution of exudate.

[0097] At the same time, the location of the exudate from the surgical incision is observed through an endoscope, camera or other imaging equipment; this helps to determine from which part of the incision the exudate is flowing and the distribution of the exudate around the incision; combining the liquid signal in the liquid level monitoring area and the exudate location of the surgical incision, the exudate path of the surgical incision relative to the monitoring area is inferred; this usually involves tracking and analyzing the direction of exudate flow to determine how the exudate flows out of the incision and accumulates in the monitoring area.

[0098] After the exudate path is identified, the surgical team continuously monitors the fluid signals along that path; this is achieved by placing additional sensors at key locations along the exudate path to ensure that changes in the exudate can be captured in real time.

[0099] During the monitoring process, relevant data of exudate are collected; these data include the amount, flow rate, color, transparency, composition, etc. of the exudate; these data are crucial for assessing the severity of the exudate, predicting complications, and formulating subsequent treatment strategies. The collected exudate data are analyzed to evaluate the nature and trend of the exudate; at the same time, the data analysis results are recorded in the patient's medical record for subsequent reference and evaluation.

[0100] Therefore, the monitoring area is monitored in real time; the tension data of the monitoring area is collected based on the tension monitoring of the monitoring area, and the tension data of the monitoring area is introduced to accurately control the tension data of the monitoring area.

[0101] At this point, after an exudate event occurs, the surgical team prepares equipment for real-time monitoring of the monitored area; these devices include tension sensors, pressure sensors, strain gauges, or other sensors that can capture tension changes in real time.

[0102] The sensors are placed at key locations in the monitoring area; these locations are usually determined based on the contours of the surgical incision, the exudate path, and the area of ​​exudate accumulation; the sensors are arranged to ensure that the tension changes in the monitoring area can be accurately captured; the sensors are activated to begin real-time monitoring of tension changes in the monitoring area; this usually involves connecting the sensors to a data acquisition system that is capable of recording and analyzing the data output by the sensors in real time.

[0103] During the real-time monitoring process, the data acquisition system continuously records the tension data output by the sensor; these data include key information such as the tension size, change trend, and fluctuation range.

[0104] The collected tension data is analyzed in real time; this typically involves comparing the data to preset thresholds to assess whether the tension is within a normal range; if the tension exceeds the preset threshold, it indicates potential complications such as tissue damage, infection, or excessive accumulation of exudate; the collected tension data is recorded in the patient's medical record for subsequent reference and analysis.

[0105] Specifically, the surgical team decided to conduct real-time monitoring of the monitoring area to evaluate the impact of exudate on surrounding tissues; they selected tension sensors and arranged them at several key locations in the monitoring area, including around the surgical incision, key nodes on the exudate path, and areas where exudate accumulates; after the sensors were arranged, the surgical team started real-time monitoring to ensure that tension changes in the monitoring area could be captured in real time.

[0106] During the real-time monitoring process, the data acquisition system continuously recorded the tension data in the monitoring area; the surgical team found that at a key node on the exudate path, the tension data showed abnormal fluctuations and exceeded the preset threshold; based on these data, they assessed that there was a risk of excessive accumulation of exudate or damage to surrounding tissues; in order to reduce the risk, the surgical team decided to take further measures, such as increasing drainage, adjusting surgical operations or strengthening postoperative care; at the same time, they recorded the collected tension data in the patient's medical records and provided detailed data reports to relevant medical staff after the operation.

[0107] In step S14, the state of the surgical incision is determined according to the temperature data, the exudate data, the tension data and the corresponding surgical type;

[0108] In the specific implementation process of the present invention, the specific steps are:

[0109] S141: collecting the operation type of the patient, and determining a first state parameter of the surgical incision according to the operation type of the patient and the operation video of the patient;

[0110] S142: interacting the temperature data, the exudate data, and the tension data; forming a plurality of data combinations based on the interaction of the temperature data, the exudate data, and the tension data; and determining a plurality of second state parameters of the surgical incision according to the detection of the plurality of data combinations;

[0111] S143: collecting multiple facial expression images and body data of the patient based on real-time monitoring of the patient, determining a third state parameter of the surgical incision according to the multiple facial expression images and body data of the patient; determining a state of the surgical incision based on the first state parameter of the surgical incision, multiple second state parameters, and the third state parameter;

[0112] In an embodiment of the present application, the patient's surgery type is collected, and the first state parameters of the surgical incision are determined based on the patient's surgery type and the patient's surgery video, thereby achieving interaction between the patient's surgery type and the patient's surgery video and ensuring the accuracy of the first state parameters of the surgical incision.

[0113] At this time, the type of surgery information can be obtained by consulting the patient's medical records, communicating with the surgical team, or directly from the surgical plan. At the same time, the type of surgery information can be obtained by consulting the patient's medical records, communicating with the surgical team, or directly from the surgical plan.

[0114] For the first state parameters of the surgical incision, the first state parameters of the surgical incision are determined according to the patient's surgery type and the patient's surgery video. At this time, based on the analysis of the surgery type and the surgery video, the state parameters of the surgical incision are preliminarily determined, and these parameters will be used for subsequent state evaluation and decision making; according to the standards of the surgery type and the observation results of the surgery video, key information such as the length, depth, location of the incision, whether there is bleeding or exudate, and the degree of damage to the surrounding tissue is recorded.

[0115] Specifically, the surgical team learned from the medical records that the type of surgery the patient underwent was a laparoscopic appendectomy; this means that the surgery will be performed through a small incision in the abdomen and will be performed using laparoscopic instruments; the surgical team recorded the surgical video using high-definition laparoscopic equipment; by analyzing the video, they observed that the surgical incision was located in the right lower abdomen, was approximately 1-2 cm in length, had neat incision edges, and the surrounding tissues responded well, with no obvious bleeding or exudate.

[0116] Based on the type of surgery and analysis of the surgical video, the surgical team determined the primary status parameters of the surgical incision; these parameters included: incision location (right lower abdomen), incision length (1–2 cm), incision depth (moderate, not penetrating the peritoneum), surrounding tissue status (good, no obvious damage), and bleeding or exudate (none).

[0117] Furthermore, the temperature data, exudate data, and tension data are interacted with each other; multiple data combinations are formed based on the interaction of the temperature data, exudate data, and tension data; multiple second state parameters of the surgical incision are determined based on the detection of the multiple data combinations, thereby achieving precise control of the multiple second state parameters.

[0118] At this time, during the operation, data such as temperature, exudate and tension of the surgical incision are monitored in real time. These data are interrelated and interactively analyzed to obtain more comprehensive information. Based on the results of data interaction, data such as temperature, exudate and tension are combined to form multiple data combinations to reflect different aspects of the status of the surgical incision. Based on the detection and analysis of multiple data combinations, multiple second state parameters of the surgical incision are determined, which will be used to further evaluate the status of the surgical incision and predict potential risks.

[0119] Use a dedicated monitoring system or platform to integrate temperature, exudate, and tension data from different sensors for real-time or quasi-real-time analysis; set different data combination schemes based on surgical incision evaluation; for example, combine temperature and exudate data to analyze whether the incision has signs of infection; combine tension and exudate data to evaluate the stability of incision healing, etc.; analyze the data combination based on preset thresholds or standards to determine the status parameters of the surgical incision, such as whether the incision temperature is normal, the nature and amount of exudate, the tension level of the incision, etc.

[0120] Specifically, the surgical team is conducting real-time monitoring of the surgical incision; the monitoring system collects real-time temperature, exudate and tension data of the surgical incision; for example, temperature data shows that the incision temperature is 36.5°C, exudate data shows that the amount of exudate is small and clear, and tension data shows that the incision tension is moderate; these data are integrated into the monitoring system for interactive analysis.

[0121] Based on the results of data interaction, the surgical team formed multiple data combinations; for example, they combined temperature and exudate data to analyze whether the incision showed signs of infection (because infection causes increased temperature and changes in the properties of the exudate); they combined tension and exudate data to evaluate the stability of incision healing (because excessive tension or excessive exudate affects healing).

[0122] Based on the analysis of the data combination, the surgical team identified multiple secondary status parameters of the surgical incision; for example, they found that the incision temperature was normal and there were no signs of infection; the exudate was clear and the amount was moderate, indicating that the incision was healing well; the incision tension was moderate, with no signs of excessive stretching or relaxation; these status parameters provided the surgical team with comprehensive information about the status of the surgical incision, helping them to evaluate the progress of the operation, predict potential risks and make corresponding decisions; for example, if the nature of the exudate suddenly changed or the tension increased abnormally, the surgical team would immediately take measures to intervene to ensure the patient's safety.

[0123] Therefore, based on real-time monitoring of the patient, multiple facial expression images and body data of the patient are collected, and the third state parameter of the surgical incision is determined according to the multiple facial expression images and body data of the patient; the state of the surgical incision is determined based on the first state parameter, multiple second state parameters and the third state parameter of the surgical incision, which is compatible with the overall consideration of the first state parameter, multiple second state parameters and the third state parameter of the surgical incision, ensures the accuracy of the state of the surgical incision, and realizes intelligent monitoring of the surgical incision.

[0124] At this time, the patient's physiological and psychological state during the operation can be understood by real-time monitoring of the patient's facial expressions and body data, because these states indirectly reflect the condition of the surgical incision; the degree of discomfort or pain caused by the surgical incision, as well as the patient's overall health status, can be inferred by analyzing the patient's facial expressions and body data; the first state parameters (such as position, length, depth, etc.), second state parameters (such as temperature, exudate, tension, etc.) and third state parameters (such as patient facial expressions, body data, etc.) of the surgical incision are combined to comprehensively evaluate the state of the surgical incision.

[0125] Optionally, a high-definition camera is used to capture the patient's facial expressions, while a bio-monitoring device (such as a heart rate monitor, a blood pressure monitor, a respiratory rate monitor, etc.) is used to record the patient's physical data; these data are collected in real time or periodically and stored in the electronic medical record system.

[0126] Establish an association model between facial expression images, body data and surgical incision status; for example, analyze the patient's facial expressions through machine learning to identify emotions such as pain and anxiety; at the same time, determine the patient's stress response level by analyzing body data (such as increased heart rate and blood pressure); these analysis results will serve as the third state parameter of the surgical incision.

[0127] The first state parameter, the second state parameter and the third state parameter are input into the comprehensive evaluation system to output the evaluation result of the surgical incision state; the evaluation result includes the incision healing condition, whether there is a risk of infection or complications, the patient's pain level, etc.

[0128] Specifically, high-definition cameras captured the patient's facial expressions, while heart rate monitors, blood pressure monitors and other equipment recorded the patient's physical data; for example, the patient's facial expressions showed a slight frown and clenched teeth, a slightly faster heart rate, and a slightly higher blood pressure.

[0129] By analyzing the patient's facial expressions and physical data, the surgical team inferred that the patient was experiencing a certain degree of pain and discomfort; they used machine learning to analyze the patient's facial expressions and identified pain signals; at the same time, by analyzing physical data (increased heart rate, increased blood pressure), they determined that the patient was experiencing a stress response; these analysis results served as the third state parameter of the surgical incision, indicating that the patient was experiencing pain and discomfort caused by the surgical incision.

[0130] The surgical team comprehensively evaluated the status of the surgical incision based on the first status parameters of the surgical incision (such as location at the knee joint, moderate length, depth reaching the joint surface, etc.), the second status parameters (such as normal incision temperature, small and clear exudate, moderate tension, etc.), and the third status parameters (such as the patient's expression showing pain, and physical data indicating stress response); they concluded that the surgical incision was in good condition with no signs of infection or complications, but the patient was experiencing pain and discomfort; based on this evaluation result, the surgical team decided to give the patient appropriate analgesic treatment after the operation to relieve pain and discomfort.

[0131] In another embodiment of the present application, a first state parameter (such as position, length, depth), a second state parameter (such as temperature, exudate, tension) of the surgical incision, and a third state parameter obtained through a matching table are comprehensively evaluated.

[0132] The first state parameter, the second state parameter and the third state parameter of the surgical incision calculated by weight and score are integrated; a weight is assigned to each state parameter (based on its influence on the overall state of the surgical incision), and then the weighted total score is calculated; based on the weighted total score, the state assessment result of the surgical incision is output, which is a score, grade or descriptive statement.

[0133] Example of weight and score calculation:

[0134]

[0135] The total score of the third state parameter = 1.5 (facial expression) + 1.6 (heart rate) + 1.4 (blood pressure) + 1.2 (respiratory rate) = 5.7; assuming that the score range 5-6 represents "moderate discomfort", the third state parameter is "moderate discomfort".

[0136] Assume that the combined score of the first and second state parameters of the surgical incision is 7 (indicating a good state), and the score of the third state parameter is 5.7 (indicating moderate discomfort); for simplicity, assume that the weight of the first state parameter is 0.4, the weight of the second state parameter is 0.3, and the weight of the third state parameter is 0.3; comprehensive evaluation score = 7 (first state parameter) 0.4 + 5 (assumed second state parameter score, for simplicity) 0.3 + 5.7 (third state parameter) * 0.3 = 2.8 + 1.5 +1.71 = 6.01; based on the score range, the surgical team assessed the state of the surgical incision as "overall good, but the patient has moderate discomfort, and attention should be paid to pain management."

[0137] In step S15, if the state of the surgical incision is an abnormal state, the abnormal level is determined based on the temperature data, the exudate data, and the tension data, and the warning event of the surgical incision is determined according to the abnormal level and the current image of the surgical incision;

[0138] In the specific implementation process of the present invention, the specific steps are:

[0139] S151: monitoring the state of the surgical incision in real time, and triggering emergency control of the surgical incision if the state of the surgical incision is abnormal;

[0140] S152: In the emergency control of the surgical incision, multiple training is performed on the temperature data, the exudate data, and the tension data, and the abnormality level is determined according to the multiple training of the temperature data, the exudate data, and the tension data;

[0141] S153: Acquire the current image of the surgical incision, determine the corresponding abnormal area based on the recognition of the current image of the surgical incision, determine multiple abnormal features according to the detection of the abnormal area; determine the warning event of the surgical incision according to the abnormal level and the multiple abnormal features;

[0142] In an embodiment of the present application, the state of the surgical incision is monitored in real time. If the state of the surgical incision is abnormal, emergency control of the surgical incision is triggered, thereby achieving emergency control of the surgical incision.

[0143] At this time, the status of the surgical incision is monitored in real time to ensure that any abnormal changes in the surgical incision can be discovered in time during the operation so that measures can be taken quickly; at the same time, based on the real-time monitoring data, analyze whether the surgical incision is in a normal state or an abnormal state; once it is identified that the surgical incision is in an abnormal state, take immediate action to prevent the situation from further deteriorating.

[0144] Optionally, advanced sensors and monitoring equipment are used to continuously monitor key indicators of the surgical incision, such as temperature, exudate, tension, color, shape, etc.; these devices are built into the surgical instruments or placed in the operating room as independent monitoring units; a series of thresholds or standards are preset, and the real-time monitored data are compared with these thresholds or standards; if the data exceeds the threshold or does not meet the standard, the surgical incision is judged to be in an abnormal state; emergency control includes sounding an alarm, displaying emergency information on the display, automatically adjusting the parameters of the surgical instrument (such as reducing cutting force, increasing cooling, etc.), notifying the surgical team, etc.

[0145] Specifically, suppose a patient is undergoing laparoscopic surgery and the surgical team is using an advanced monitoring system for real-time monitoring; the monitoring system continuously monitors the temperature, exudate, and tension of the surgical incision; for example, the temperature sensor monitors the temperature of the incision surface in real time, the exudate sensor detects whether there is fluid exudation around the incision, and the tension sensor measures the degree of stretching of the incision.

[0146] During the operation, the monitoring system discovered that the incision temperature suddenly rose, exceeding the preset safety range; at the same time, the exudate sensor also detected an abnormally large amount of clear liquid exuding around the incision; based on the preset threshold, the system determined that the surgical incision was in an abnormal state.

[0147] Once an abnormal condition is identified, the monitoring system immediately triggers emergency control; the alarm sounds and an emergency message is displayed on the screen: "The temperature of the surgical incision is abnormally high and the exudate has increased. Please check and take measures immediately!" The surgical team responds quickly, stops the current operation, checks the incision condition, and takes necessary cleaning, cooling, suturing and other measures to prevent infection and other complications.

[0148] Furthermore, in the emergency control of surgical incisions, multiple training is performed on temperature data, exudate data and tension data, and the abnormality level is determined based on the multiple training of temperature data, exudate data and tension data, thereby achieving multiple training of temperature data, exudate data and tension data and ensuring the accuracy of the abnormality level.

[0149] At this time, if the state of the surgical incision is judged to be abnormal (as described in step S151), the emergency control mechanism is immediately triggered; after the emergency control mechanism is activated, the relevant monitoring equipment continues to collect temperature, exudate and tension data of the surgical incision, and ensures the real-time and accuracy of these data.

[0150] The accuracy and reliability of data analysis are improved through multiple training so as to more accurately determine the abnormality level of the surgical incision; based on the results of multiple training, the abnormal state of the surgical incision is quantified into a specific abnormality level.

[0151] Optionally, the temperature data, exudate data, and tension data are trained using machine learning or deep learning methods; this usually involves using historical data as a training set to let the method learn how to identify abnormal patterns based on these data; based on the trained model, the real-time collected temperature, exudate, and tension data are evaluated and a numerical value or classification label representing the abnormality level is output. The abnormality level is divided into several levels according to the severity, such as slight abnormality, moderate abnormality, severe abnormality, etc.; each level corresponds to different treatment measures and priorities.

[0152] Specifically, the temperature, exudate and tension data of the surgical incision were monitored in real time, and the emergency control mechanism was triggered; the monitoring system detected that the temperature of the surgical incision rose abnormally, the amount of exudate increased, and the tension also increased; these data exceeded the preset safety range, and therefore triggered emergency control.

[0153] After the emergency control is triggered, the system immediately begins multiple trainings on the data; first, the system uses historical data to train a machine learning model that can identify abnormal patterns in temperature, exudate, and tension data; then, the system performs multiple iterative trainings on real-time collected data to optimize the performance of the model; during the training process, the system continuously adjusts the model's parameters to improve its accuracy in identifying abnormal conditions.

[0154] After multiple training sessions, the system evaluates the data collected in real time and outputs a numerical value indicating the level of abnormality. For example, the system outputs a numerical value of "3", indicating that the surgical incision is in a moderately abnormal state. Based on this level classification, the surgical team knows how to take appropriate treatment measures, such as increasing cooling, clearing exudate, adjusting the tension of surgical instruments, etc., to prevent the situation from further deteriorating.

[0155] Therefore, the current image of the surgical incision is collected, the corresponding abnormal area is determined based on the recognition of the current image of the surgical incision, and multiple abnormal features are determined based on the detection of the abnormal area; the warning event of the surgical incision is determined based on the abnormal level and multiple abnormal features, thereby achieving precise control of the warning events of the surgical incision and further realizing intelligent monitoring of the surgical incision.

[0156] At this time, use a high-definition camera or other imaging equipment to capture real-time images of the surgical incision; ensure that the image quality is clear and can accurately reflect the details and status of the surgical incision; at the same time, use image recognition technology, such as computer vision or deep learning models, to analyze the collected surgical incision images; by comparing the features in the image with the preset normal state feature library, identify abnormal areas that do not conform to the normal state.

[0157] The identified abnormal area is further analyzed to extract multiple abnormal features; abnormal features include color change (such as redness, swelling, blackening), shape change (such as swelling, depression), blurred edges, abnormal texture, etc.; combined with the abnormal level determined in the previous step (such as described in step S152) and the multiple abnormal features currently identified; the abnormal level and features are mapped to specific warning events; warning events include infection risk, bleeding risk, poor healing, tissue damage, etc.

[0158] Specifically, the surgical team is using an advanced monitoring system to monitor the surgical incision in real time; the high-definition camera continuously captures real-time images of the surgical incision to ensure that the image is clear and can accurately reflect the details of the surgical incision; the monitoring system uses image recognition technology to identify a red and swollen area at the edge of the surgical incision; this area does not match the features in the preset normal state feature library and is therefore judged to be an abnormal area.

[0159] The identified red and swollen areas are further analyzed and multiple abnormal features are extracted; these features include reddening, blurred edges, and the area and shape of the red and swollen areas; combined with the abnormality level determined in the previous step (assuming it is a moderate abnormality) and the currently identified abnormal features, the monitoring system uses preset rules or methods to map this information to specific warning events; in this example, the system determines the warning event to be "moderate infection risk."

[0160] After receiving the early warning information, the surgical team immediately stopped the current operation and checked the red and swollen area; they found that it was a local infection caused by a slight abrasion from the surgical instruments; the surgical team quickly took measures such as cleaning the wound, applying antibiotic ointment, and adjusting the surgical plan to reduce the risk of infection.

[0161] In another embodiment of the present application, the warning event matching table:

[0162]

[0163] The monitoring system identified that the edge of the surgical incision had become noticeably red and slightly swollen. According to the matching table, the warning event was "infection risk, prepare for treatment."

[0164] In step S16, a corresponding incision repair event is determined according to the early warning event of the surgical incision, the change roadmap of the surgical incision, and the personnel status of the corresponding medical team;

[0165] In the specific implementation process of the present invention, the specific steps are:

[0166] S161: Determine a plurality of warning sub-items based on the analysis of the warning event of the surgical incision; determine a corresponding set of repair means according to the plurality of warning sub-items and the surgical database;

[0167] S162: collecting incision images of the surgical incision at different times based on real-time monitoring of the surgical incision, and determining a change roadmap of the surgical incision according to the incision images of the surgical incision at different times;

[0168] S163: Determine the corresponding medical team based on the patient's surgery type and the registration information of the surgical incision, and determine the personnel status of the medical team based on the corresponding medical team and the personnel status system; determine the corresponding incision repair event based on the repair means set, the surgical incision change roadmap and the personnel status of the medical team.

[0169] In an embodiment of the present application, multiple warning sub-items are determined based on the analysis of warning events of surgical incisions; a corresponding set of repair means is determined based on the multiple warning sub-items and the surgical database, and a set of repair means is introduced to further control the set of repair means.

[0170] At this point, conduct an in-depth analysis of the warning events generated by the surgical incision to understand the specific reasons and potential risks behind them; break down complex warning events into more specific and manageable small tasks so that they can be solved one by one; and find effective repair methods or solutions for each warning sub-item.

[0171] Collect all relevant information of the warning event, including the type of warning event, time of occurrence, scope of impact, etc.; use professional knowledge and experience to conduct a detailed analysis of the warning event and identify the key factors that lead to the warning event; split the warning event into multiple specific and actionable warning sub-items, each of which represents a problem point that needs special attention or treatment.

[0172] Obtain a list of warning sub-projects, each of which clearly defines the problem to be solved, the expected goal, and the operational steps involved; at the same time, access the surgical database, which should contain a large amount of historical records on surgical incision problems and their repair methods; use the search and matching functions in the database to find relevant historical cases and successful experiences for each warning sub-project; based on historical cases and successful experiences, determine a series of repair methods or solutions for the current warning sub-project; integrate these repair methods into a set of repair methods for reference and use in subsequent steps.

[0173] Specifically, the monitoring system issued a warning event: "Infection risk in the surgical incision"; the warning event occurred on the third day after the operation, and symptoms such as redness and swelling and increased exudate appeared around the incision; key factors for identifying infection risks included improper aseptic operation during the operation and inadequate postoperative incision care; the warning event was divided into two warning sub-projects: "Strengthening aseptic operation training" and "Optimizing postoperative incision care process."

[0174] Get the list of warning sub-items:

[0175] Early warning sub-project 1: Strengthen aseptic operation training to ensure that surgical team members strictly abide by aseptic operation specifications; Early warning sub-project 2: Optimize the postoperative incision care process, including regular dressing changes, keeping the incision dry and clean, etc.

[0176] Access the surgical database and search for historical records on the risk of surgical incision infection and its repair methods; find relevant historical cases: such as an incision infection after a heart surgery, and successfully reduce the infection risk by strengthening aseptic operation training and optimizing postoperative care process.

[0177] Determine the repair method:

[0178] For early warning sub-project 1: organize aseptic operation training courses and invite experts to provide on-site guidance and demonstrations; for early warning sub-project 2: formulate a detailed postoperative incision care process, including a schedule for regular dressing changes, the correct method of cleaning the incision, etc., and train nursing staff to strictly implement it.

[0179] Furthermore, based on the real-time monitoring of the surgical incision, incision images of the surgical incision at different times are collected, and the change roadmap of the surgical incision is determined according to the incision images of the surgical incision at different times, thereby achieving precise control of the change roadmap of the surgical incision.

[0180] At this time, the status of the surgical incision is continuously observed through real-time monitoring equipment, such as high-definition cameras or endoscopes; the status information of the surgical incision at different time points is obtained for subsequent analysis and comparison; by analyzing the images of the surgical incision at different times, the changing trends and key turning points of the incision status are identified.

[0181] Set up monitoring equipment to ensure that images of the surgical incision can be clearly captured; set the acquisition frequency, and determine the appropriate image acquisition time interval based on the speed and importance of the changes in the surgical incision; during the operation or postoperative recovery period, automatically or manually acquire images of the surgical incision at the set acquisition frequency; obtain a series of surgical incision images arranged in chronological order, which reflect the changes in the incision from the start of the operation to a specific point in time.

[0182] Preprocess the collected images, such as denoising and contrast enhancement, to improve image quality; use image analysis techniques (such as edge detection, morphological processing, etc.) to extract key features of the incision, such as shape, size, color, etc.; compare the incision features at different time points to identify the changing trends of the incision status, such as healing progress, spread of infection, etc.; draw a change roadmap for the surgical incision based on the changing trends. The roadmap uses time as the horizontal axis and the incision status (or key features) as the vertical axis to intuitively display the changes in the incision status over time.

[0183] Specifically, the doctor set up a high-definition camera in the operating room to ensure that the image of the surgical incision can be clearly captured; the acquisition frequency was set to once an hour, starting from the end of the operation.

[0184] One hour, two hours, three hours after the operation...until the 7th day after the operation, the doctor collected images of the surgical incision according to the set acquisition frequency; a series of surgical incision images arranged in chronological order were obtained, which showed the changes of the incision from the end of the operation to the 7th day after the operation.

[0185] The doctor preprocessed the collected images to improve the image quality; used image analysis technology to extract key features of the incision, such as the degree of redness and swelling, and the amount of exudate; compared the incision features at different time points, the doctor found that the degree of redness and swelling of the incision gradually increased in the first three days after surgery, but then began to gradually decrease; the amount of exudate reached a peak on the second day after surgery, and then gradually decreased. Based on these changing trends, the doctor drew a roadmap for the changes in the surgical incision; the roadmap uses time as the horizontal axis and the degree of redness and swelling and the amount of exudate as the vertical axis, which intuitively shows how the incision status changes over time.

[0186] Therefore, the corresponding medical team is determined based on the patient's surgery type and the registration information of the surgical incision, and the personnel status of the medical team is determined according to the corresponding medical team and the personnel status system; the corresponding incision repair event is determined according to the repair means set, the surgical incision change roadmap and the personnel status of the medical team, which is compatible with the overall consideration of the repair means set, the surgical incision change roadmap and the personnel status of the medical team, and realizes the interaction of the surgical incision warning event, the surgical incision change roadmap and the corresponding medical team personnel status, ensuring the accuracy of the incision repair event.

[0187] At this time, the corresponding medical team is determined based on the patient's surgery type and the registration information of the surgical incision to ensure that the patient is provided with a medical team with relevant professional knowledge and experience for follow-up care and treatment; understand the current status of the medical team members to ensure that they have the ability and time to participate in the incision repair work; formulate a specific incision repair plan to ensure that the incision receives timely and effective treatment.

[0188] Check the patient's surgical records to understand information such as the type of surgery, surgical site, and surgical difficulty; match the hospital's medical team with corresponding professional background and experience based on the type of surgery and incision registration information; confirm the composition of the medical team, including the surgeon, assistant doctors, nurses and other key members.

[0189] Access the hospital's personnel status system, which should include the medical team members' scheduling information, leave status, current work tasks, etc.; query the status of medical team members to confirm whether they are on duty, whether they have free time, and whether they have the ability to handle current incision problems; based on the query results, evaluate the overall status of the medical team and determine whether it is necessary to adjust the team composition or seek additional support.

[0190] Review the set of repair methods to understand the available treatment methods and means for the current incision problems; refer to the change roadmap of surgical incisions to evaluate the current status and future development trends of the incisions; combine the personnel status of the medical team, consider the professional capabilities, available time and task allocation of team members; based on the above information, formulate one or more incision repair events, including specific repair methods, execution time, responsible personnel, etc.

[0191] In another embodiment of the present application, assume that different weights are set for each medical team member, such as professional skills (50 points), experience (30 points) and available time (20 points); then, the team members are scored according to these weights; for example:

[0192]

[0193] Based on the total score, the medical team member with the highest score is selected to participate in the incision repair work; similarly, different weights are set for each repair method, and the repair methods are scored according to these weights; for example:

[0194]

[0195] According to the total score, the repair method with the highest score is selected as the preferred option; finally, the weight scores of the medical team members and the weight scores of the repair methods, as well as the change roadmap of the surgical incision, are combined to comprehensively determine the incision repair event; for example, Dr. Zhang and Nurse Zhao with the highest scores are selected as responsible personnel, and the highest-scoring method of using antibiotic ointment to treat the incision is selected as the preferred repair method, and it is arranged to be executed at the appropriate time; through this method, the best medical team and repair method can be determined more scientifically and objectively, thereby ensuring that the incision is treated in a timely and effective manner.

[0196] In addition, the present invention is applied to a wearable intelligent incision monitoring patch, which mainly includes the following parts:

[0197] Temperature monitoring module: It uses a high-precision temperature sensor, which is attached to the skin surface around the incision and can sense the temperature changes in the incision area in real time. The temperature sensor is connected to the data processing unit through a flexible circuit board, and the collected temperature data is transmitted to the data processing unit for analysis and processing.

[0198] Exudate monitoring module: An exudate detection area is set on the incision contact surface of the patch, which contains a material that can chemically react with exudate and produce color changes or electrical signal changes. When there is exudate in the incision, the material will react immediately, detect the change through an optical sensor or an electrochemical sensor, and transmit the signal to the data processing unit to determine the amount and nature of the exudate.

[0199] Abdominal tension monitoring module: Using strain gauge pressure sensors or capacitive pressure sensors, attached to both sides of the abdominal incision, it can monitor changes in abdominal tension in real time. When the abdominal tension changes, the sensor will convert the tension change into an electrical signal and transmit it to the data processing unit for calculation and analysis, so as to determine the healing status of the incision and whether there is abnormal tension.

[0200] Data processing unit: As the core control part of the entire patch, it receives data from each monitoring module and stores, analyzes and processes the data. The data processing unit uses a low-power microprocessor and has built-in pre-set methods and thresholds. It can judge the state of the incision based on real-time monitoring data. When the monitoring data exceeds the normal range, the alarm device is triggered to sound an alarm.

[0201] Wireless communication module: connected to the data processing unit, using Bluetooth, Wi-Fi or other wireless communication technologies to transmit monitoring data in real time to the medical staff's mobile terminal or the hospital's information system, making it convenient for medical staff to remotely view and manage the patient's incision monitoring data.

[0202] The present invention has the following beneficial effects:

[0203] (1) Capture the image of the surgical incision, and determine the monitoring area around the surgical incision based on the image of the surgical incision and the area where the surgical incision is located; determine the temperature monitoring point based on the monitoring area and the patient's surgical data, and determine the temperature data based on the temperature monitoring point; determine the exudate data based on the exudate path of the surgical incision relative to the monitoring area, and collect the tension data of the monitoring area; determine the state of the surgical incision based on the temperature data, exudate data, tension data and the corresponding surgical type, which is compatible with the overall consideration of temperature data, exudate data, tension data and the corresponding surgical type, ensuring the accuracy of the state of the surgical incision and realizing intelligent monitoring of the surgical incision.

[0204] (2) If the state of the surgical incision is abnormal, the abnormality level is determined based on the temperature data, exudate data, and tension data, and the warning event of the surgical incision is determined based on the abnormality level and the current image of the surgical incision, so as to trigger the corresponding warning based on the warning event, further realizing intelligent monitoring of the surgical incision.

[0205] (3) The corresponding incision repair event is determined based on the early warning event of the surgical incision, the change roadmap of the surgical incision, and the personnel status of the corresponding medical team. The interaction of the early warning event of the surgical incision, the change roadmap of the surgical incision, and the personnel status of the corresponding medical team is realized, ensuring the accuracy of the incision repair event.

[0206] See also Figure 3 , Figure 3 : is a schematic diagram of the structure of the intelligent monitoring system for surgical incisions in an embodiment of the present invention, and the intelligent monitoring system for surgical incisions comprises:

[0207] A monitoring area module 21 is used to collect an image of the surgical incision and determine a monitoring area around the surgical incision according to the image of the surgical incision and the area where the surgical incision is located;

[0208] A first data module 22, used to determine a temperature monitoring point according to the monitoring area and the surgical data of the patient, and to determine temperature data according to the temperature monitoring point;

[0209] A second data module 23, for determining exudate data based on the exudate path of the surgical incision relative to the monitoring area, and collecting tension data of the monitoring area;

[0210] A status module 24, for determining the status of the surgical incision according to the temperature data, the exudate data, the tension data and the corresponding surgical type;

[0211] The temperature control module 25 is used to determine the abnormality level based on the temperature data, the exudate data and the tension data if the state of the surgical incision is abnormal, and determine the early warning event of the surgical incision according to the abnormality level and the current image of the surgical incision;

[0212] The repair event module 26 is used to determine the corresponding incision repair event according to the early warning event of the surgical incision, the change roadmap of the surgical incision and the personnel status of the corresponding medical team.

[0213] The technical features of the above embodiments are arbitrarily combined. In order to make the description concise, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A surgical incision intelligent monitoring system, characterized in that: The surgical incision intelligent monitoring system comprises: A monitoring area module is used to collect images of the surgical incision and determine a monitoring area around the surgical incision based on the images of the surgical incision and the area where the surgical incision is located; A first data module is used to determine a temperature monitoring point according to a monitoring area and surgical data of a patient, and to determine temperature data according to the temperature monitoring point; A second data module is used to determine exudate data based on the exudate path of the surgical incision relative to the monitoring area, and collect tension data of the monitoring area; A state module is used to determine the state of a surgical incision according to temperature data, exudate data, tension data and a corresponding surgical type, including: collecting the surgical type of the patient, and determining a first state parameter of the surgical incision according to the surgical type of the patient and the surgical video of the patient; interacting the temperature data, exudate data and tension data; forming a plurality of data combinations based on the interaction of the temperature data, exudate data and tension data; determining a plurality of second state parameters of the surgical incision according to the detection of the plurality of data combinations; collecting a plurality of facial expression images and body data of the patient based on real-time monitoring of the patient, and determining a third state parameter of the surgical incision according to the plurality of facial expression images and body data of the patient; and determining the state of the surgical incision based on the first state parameter, a plurality of second state parameters and a third state parameter of the surgical incision; A temperature control module, for determining an abnormality level based on temperature data, exudate data, and tension data if the state of the surgical incision is abnormal, and determining a warning event of the surgical incision based on the abnormality level and a current image of the surgical incision; The repair event module is used to determine the corresponding incision repair event based on the warning event of the surgical incision, the change roadmap of the surgical incision and the personnel status of the corresponding medical team; based on the real-time monitoring of the surgical incision, the incision images of the surgical incision at different times are collected, and the change roadmap of the surgical incision is determined based on the incision images of the surgical incision at different times.

2. The intelligent surgical incision monitoring system according to claim 1, characterized in that: The collecting of the surgical incision image and determining the monitoring area around the surgical incision according to the surgical incision image and the area where the surgical incision is located include: determining a current position of a surgical incision based on a surgical video of the patient, an abdominal region of the patient, and a type of surgery of the patient; and acquiring an image of the surgical incision based on online monitoring of the current position of the surgical incision; Determining the contour of the surgical incision based on image processing of the surgical incision image; determining the area where the surgical incision is located according to the contour of the surgical incision and the type of surgery performed on the patient; The monitoring area around the surgical incision is determined based on the area where the surgical incision is located, the image of the surgical incision, and the current weather information.

3. The intelligent surgical incision monitoring system according to claim 2, characterized in that: Determining the temperature monitoring point according to the monitoring area and the surgical data of the patient, and determining the temperature data according to the temperature monitoring point, includes: Determine the surgical data of the patient based on the surgical type of the patient and the corresponding surgical database; determine multiple surgical positions of the patient based on the surgical data of the patient and the abdominal area of ​​the patient; Determine the temperature monitoring points according to the monitoring area and multiple surgical positions of the patient, and perform real-time monitoring on each temperature monitoring point; determine the temperature data according to the real-time monitoring of each temperature monitoring point; The temperature data in abnormal state is determined according to the traversal of the temperature data, and the review of the temperature monitoring point is triggered according to the location of the temperature data in abnormal state, so as to dynamically optimize the temperature monitoring point.

4. The intelligent surgical incision monitoring system according to claim 3, characterized in that: The method of determining the exudate data based on the exudate path of the surgical incision relative to the monitoring area and collecting the tension data of the monitoring area includes: determining a liquid level monitoring area based on the contour of the surgical incision and the monitoring area, and determining an exudate event based on a liquid signal in the liquid level monitoring area and a current image of the surgical incision; In the exudate event, the exudate path of the surgical incision relative to the monitoring area is determined according to the liquid level monitoring area, the location of the corresponding liquid signal, and the exudate location of the surgical incision; the exudate data is determined according to the monitoring of the exudate path; The monitoring area is monitored in real time; tension data of the monitoring area is collected based on the tension monitoring of the monitoring area.

5. The intelligent surgical incision monitoring system according to any one of claims 1 to 4, characterized in that: If the state of the surgical incision is an abnormal state, determining the abnormality level based on the temperature data, the exudate data, and the tension data, and determining a warning event of the surgical incision according to the abnormality level and the current image of the surgical incision, including: Monitor the status of the surgical incision in real time. If the status of the surgical incision is abnormal, emergency control of the surgical incision will be triggered; In the emergency control of surgical incisions, multiple training is performed on temperature data, exudate data and tension data, and the abnormality level is determined based on the multiple training of temperature data, exudate data and tension data.

6. The intelligent surgical incision monitoring system according to claim 5, characterized in that: If the state of the surgical incision is an abnormal state, determining the abnormality level based on the temperature data, the exudate data, and the tension data, and determining a warning event of the surgical incision according to the abnormality level and the current image of the surgical incision, further comprising: The current image of the surgical incision is acquired, the corresponding abnormal area is determined based on the recognition of the current image of the surgical incision, and multiple abnormal features are determined based on the detection of the abnormal area; the warning event of the surgical incision is determined based on the abnormal level and the multiple abnormal features.

7. The intelligent surgical incision monitoring system according to any one of claims 1 to 4, characterized in that: Determining the corresponding incision repair event according to the early warning event of the surgical incision, the change roadmap of the surgical incision and the personnel status of the corresponding medical team includes: Based on the analysis of the warning event of the surgical incision, a plurality of warning sub-items are determined; and a corresponding set of repair means is determined according to the plurality of warning sub-items and the surgical database.

8. The intelligent surgical incision monitoring system according to claim 7, characterized in that: The method of determining a corresponding incision repair event according to the early warning event of the surgical incision, the change roadmap of the surgical incision, and the personnel status of the corresponding medical team also includes: The corresponding medical team is determined based on the patient's surgery type and the registration information of the surgical incision, and the personnel status of the medical team is determined based on the corresponding medical team and the personnel status system; the corresponding incision repair event is determined based on the set of repair means, the change roadmap of the surgical incision and the personnel status of the medical team.

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