207 results about "Wound area" patented technology

The invention provides a multi-modal image analysis-based robot-assisted wound treatment method and system, and relates to the technical field of robots, and the method comprises the steps: collecting a multi-modal image of a to-be-treated wound, determining an image registration result, obtaining a wound region image through a multi-scale fusion algorithm and wound region segmentation, and carrying out the type classification of wound tissues. A wound tissue type classification result is obtained; performing surrounding shooting on a wound area to obtain a wound multi-view image, registering subsequent depth maps frame by frame by taking a first frame of depth map as a reference, accumulating point cloud data, determining a wound three-dimensional point cloud, generating a wound three-dimensional reconstruction result by combining a curved surface evolution algorithm, and determining a wound parameter measurement result; based on the wound tissue type classification result and the wound parameter measurement result, a robot path planning algorithm is adopted, the optimal movement track of the robot is generated, the movement parameters of the robot are adjusted in real time through a robot control algorithm of vision and force feedback, and wound adjuvant therapy is completed.

The invention discloses a preparation method and application of a multifunctional self-healing hydrogel material with antibacterial, anti-inflammatory and diabetic wound healing promotion functions. The preparation method comprises the following steps: firstly, synthesizing silver-doped carbon quantum dots (AgCD) in one step through a hydrothermal method; the preparation method comprises the following steps: firstly, preparing sodium hyaluronate (HA), secondly, oxidizing the sodium hyaluronate (HA) into oxidized hyaluronic acid (OHA) by taking sodium periodate as an oxidizing agent, and then encapsulating AgCD and metformin (Met) into hydrogel formed by Schiff base reaction between carboxymethyl chitosan (CMCS) and the oxidized hyaluronic acid (OHA). The hydrogel provided by the invention has certain adhesion, suitable capacity of absorbing wound exudate and good biocompatibility, meanwhile, due to the addition of AgCD, the hydrogel has excellent antibacterial property, and the metformin can promote angiogenesis of a wound part, so that the hydrogel can better promote healing of a diabetic wound. The hydrogel is simple and rapid in preparation method, has low biotoxicity and antibacterial property, and provides a strategic choice for promoting healing of diabetic wounds.

The invention provides a trauma severity assessment method and system based on artificial intelligence and big data analysis, and relates to the technical field of AI.The trauma severity assessment method comprises the steps that an AI model is guided through cue word engineering to extract trauma information from structured medical record data of a trauma patient, and JSON format data containing diagnosis information, trauma identification and trauma description is generated; and a vector retrieval technology is adopted to retrieve a scoring rule related to a single injury condition from the modified ISS scoring rule knowledge base, and the AI model determines the area, the part and the score of each injury condition based on the JSON data and the scoring rule. And after checking and combining the injury condition scores, finally outputting an ISS total score and a specific score result of each wound area. The method can automatically extract and score the injury condition information, improves the ISS scoring efficiency and accuracy, and assists a doctor in rapidly evaluating the injury condition of a patient.

The invention discloses a diabetic foot assessment method based on wound image recognition. The method comprises the following steps: processing a foot infrared thermal imaging image to generate a temperature anomaly graph; fusing the foot wound image and the temperature anomaly graph to generate a fused image; constructing a foot blood flow analysis model, extracting a blood flow influence factor, and correcting the fused image through the blood flow influence factor; and constructing a joint assessment model, taking the corrected fusion image and historical data of the diabetic foot patient as input of the joint assessment model, predicting a risk assessment level of the diabetic foot, and outputting a disease assessment result of the diabetic foot patient according to the risk assessment level. According to the method, multi-modal medical image fusion analysis is realized, the accuracy of wound area positioning and pathological state expression is improved, the accuracy of lesion area recognition is improved, the illness worsening risk can be predicted in advance, clinical decision can be assisted, the risk of serious complications such as amputation of a patient is reduced, and the prognosis and life quality of the patient are improved.

The invention provides a robot-assisted wound suturing method and system based on artificial intelligence, and relates to the technical field of artificial intelligence, and the robot-assisted wound suturing method comprises the steps: obtaining multi-modal perception data of a wound area, constructing multi-modal three-dimensional representation of a wound, and determining a plurality of suturing points based on the multi-modal three-dimensional representation of the wound; for each suture point, calculating a candidate suture point, and for the adjacent suture points, generating a needle tip track of a needle tip in the wound, and sampling on the needle tip track to obtain a suture scheme adapted to the wound form and the tissue attribute; based on the obtained stitching scheme, an optimal control sequence of the stitching robot is obtained, meanwhile, a robust compensation control law is constructed through coordinate transformation and a feedback control law, and the optimal control sequence and the robust compensation control law are integrated into a stitching robot real-time control system; the output of a real-time control system of the suturing robot is converted into an actuator control instruction, and the suturing robot is controlled to assist in wound suturing.

The invention relates to the technical field of medical health assessment information, in particular to a construction method and system based on an anorectal surgery postoperative nursing rehabilitation assessment model. The method comprises the following steps: acquiring postoperative health data of an anorectal surgery patient; performing postoperative wound morphological image scanning on the postoperative health data of the anorectal surgery patient to obtain a wound morphological structure image; performing postoperative wound area measurement and calculation on the wound morphological structure image to generate postoperative wound area data; and performing granulation tissue feature recognition on the wound morphological structure image according to the postoperative wound area data to obtain granulation tissue feature data. According to the method, through a data processing technology, a feature mapping technology and a mode recognition technology, an anorectal surgery postoperative nursing rehabilitation evaluation model is constructed based on granulation tissue growth information, step number fatigue evaluation data and postoperative defecation index data; the comprehensive functional index postoperative nursing rehabilitation evaluation of the patient is realized, so that the evaluation accuracy is improved.

The invention relates to the technical field of medical treatment, and particularly discloses an intelligent wound measuring and recording system and method.The method comprises the steps that multi-dimensional image data and three-dimensional depth information of a wound area are synchronously collected, hierarchical space division and nonlinear feature coding are adopted for preprocessing the multi-dimensional image data, and wound basic information is generated; constructing a wound measurement model based on the basic information of the wound, extracting wound features with space-time relevance, and extracting a wound contour of multi-dimensional image data by using an improved U-Net architecture in combination with an HSV color space and morphological gradient method; according to the method, the multi-dimensional image data and the three-dimensional depth information are synchronously acquired, and the advanced image processing technology is combined, so that the accurate extraction of the wound contour is realized, and the problem that wound details cannot be accurately identified and measured in a traditional method is solved; based on an ICP registration algorithm and a three-dimensional point cloud reconstruction technology, submillimeter-level wound volume measurement is realized, and the wound volume evaluation precision is improved.

The invention discloses a joint dilator of an orthopedic knee arthroscope and a control method thereof, and relates to the technical field of medical instruments, the method comprises the following steps: acquiring a geometric center of a preset distraction range and a rotating fulcrum of the dilator, and constructing a preset Y axis according to the geometric center and the rotating fulcrum; when the spreader performs initial rotation by taking a preset Y axis as a rotation axis, the graph acquisition piece acquires an actual image contour in real time; comparing the actual image contour with the target image contour in real time; when the coincidence degree between the actual image contour and the target image contour is a second coincidence degree, the position of the preset Y axis is confirmed again according to the coincident contour between the actual image contour and the target image contour in the first coincidence degree, and an actual Y axis is set; the angle control device is combined with the actual Y axis to control the dilator, through the arrangement, it can be ensured that the dilated range of the dilator coincides with the range corresponding to the actual injury characteristic, and then the wound area of a patient is reduced.

The invention relates to the technical field of virtual reality, in particular to a thyroid cancer postoperative intelligent follow-up management system, which comprises a wound feature construction module for acquiring a thyroid cancer postoperative patient wound image, extracting a wound edge contour coordinate point set, calculating a wound region area and acquiring a wound morphological parameter set; based on the wound morphological parameter set, the healing progress percentage is analyzed, and a wound dynamic evaluation matrix is established. According to the method, intelligent upgrading of postoperative rehabilitation management is achieved by collecting wound characteristics, calculating the healing progress, matching the nursing track, synchronizing the virtual reality environment, optimizing follow-up scheduling and establishing remote interaction. High-precision dynamic healing evaluation is provided for extraction of the edge contour of the wound and calculation of morphological parameters, and errors caused by judgment depending on experience are avoided. Nursing actions are combined with space coordinate conversion and real-time trajectory optimization, it is ensured that rehabilitation training of the patient has a standardized execution mode, and the situation that the recovery progress is affected by random operation is avoided.

The invention discloses a nursing communication follow-up visit system for the department of burn and plastic surgery based on artificial intelligence, and belongs to the technical field of medical follow-up visit systems. The system comprises a nursing wound acquisition module used for acquiring physiological data of a patient, wound image data, nursing operation records and text record data constructed by subjective feedback of the patient in real time; according to the method, multi-modal data are integrated, and a dynamic patient data framework is constructed; physiological indexes are monitored in real time, and a basis is provided for early infection early warning. A wound area is accurately segmented, and quantitative evaluation of the wound is achieved; the emotion and compliance of the patient are analyzed, the nursing compliance is improved, the infection risk detection rate is increased, and the false alarm rate is reduced; based on a random forest model and a dynamic threshold value, hierarchical risk management is realized, a personalized follow-up visit strategy is constructed, resource configuration is optimized, a feedback driving mechanism is introduced, a closed loop is formed, model dynamic updating is realized, nursing standard upgrading is promoted, and system model prediction precision is improved.

The invention discloses an anorectal postoperative rehabilitation intelligent supervision method and system based on multiple modes, and belongs to the technical field of intelligent supervision. A temperature, humidity, air quality and other multi-mode sensor group is arranged in each anorectal postoperative rehabilitation management inpatient area, the body temperature, heart rate and wound surface images of a patient are synchronously collected, and the wound surface area and seepage color are extracted through image processing; the method comprises the following steps: by taking a time node as a unit, adding a time label to an environment and patient basic data set, constructing a multi-modal comprehensive data set in a unified format, calculating an environment comprehensive index and a physiological comprehensive index, fusing the environment comprehensive index and the physiological comprehensive index to calculate a postoperative rehabilitation risk value, setting a threshold interval to generate low, medium and high three-level risk labels, and the patient risk label set is pushed to the doctor end in real time, a dynamic supervision system is constructed, the anomaly recognition rate and the clinical response speed are improved, the complication occurrence rate is reduced, the rehabilitation period is shortened, and reliable data support is provided for nursing quality improvement and evidence-based medical research.

The invention relates to a burn glove pressure monitoring method and device, a storage medium and electronic equipment, and relates to the technical field of pressure monitoring, and the method comprises the following steps: when each actual pressure is normal, based on a target area in a burn hand and at least one corresponding target pressure interval when an actual action posture appears, determining the pressure of the burn glove according to the target area; determining whether the actual pressure of the wound area is adjusted and optimized or not; if yes, determining a to-be-optimized area needing pressure adjustment and optimization from each wound area; determining a first appropriate pressure of the to-be-optimized area, and adjusting the actual pressure of the to-be-optimized area to the first appropriate pressure; and when abnormal pressure exists in the actual pressures, determining the wound area corresponding to the abnormal pressure as an abnormal area, determining a second suitable pressure of the abnormal area, and adjusting the actual pressure of the abnormal area as the second suitable pressure. The effect of the burn gloves on inhibiting scar hyperplasia can be improved.

The invention provides an endometrial mesenchymal stem cell-derived exosome and application thereof in preparation of a medicine for treating diabetic wounds, and belongs to the technical field of biological medicines. The endometrial mesenchymal stem cell-derived exosome provided by the invention can effectively promote HUVEC tube forming ability, promote wound angiogenesis of diabetic model mice, increase collagen deposition and reduce wound area, finally achieves the purpose of promoting healing of diabetic wounds, and solves the problem of limited treatment effect of exosomes in the prior art. The endometrial mesenchymal stem cell-derived exosome provided by the invention can be used as a medicine for promoting angiogenesis and wound healing to be applied to diabetes wound treatment, and also provides a new strategy for treatment of other chronic wounds including burn.

The utility model relates to the technical field of blood vessel repair, and discloses a blood vessel plugging hemostat which comprises a plugging piece. The wire rod sequentially penetrates through the plugging piece, the plugging disc and the plugging piece to form a loop, and a locking knot is arranged above the direction, away from the plugging disc, of the plugging piece; the plugging disc can be elastically deformed and is connected with the plugging sheet through a wire rod; the other end of the wire rod is pulled in the direction away from the plugging disc, and the locking knot slides in the direction close to the plugging disc so that the plugging piece can be compressed and folded. The plugging disc can be attached to the inner wall of a blood vessel to effectively plug and stop bleeding, and the plugging piece can be tightly attached to the outer wall of the blood vessel to conduct double plugging and bleeding stopping on the inside and outside of a blood vessel wound. Meanwhile, the plugging disc can be elastically deformed, the plugging disc in the folded state is small in size, blood vessel stimulation can be reduced in blood vessels, and the large-area plugging disc can cope with the situation that the wound area is larger after expansion and release.

The present invention relates to the field of medical health assessment information technology, and in particular to a construction method and system based on anorectal surgery postoperative nursing rehabilitation assessment model. The method comprises the following steps: obtaining postoperative health data of anorectal surgery patients; scanning postoperative wound morphology images of postoperative health data of anorectal surgery patients to obtain wound morphology structure images; measuring postoperative wound area of ​​wound morphology structure images to generate postoperative wound area data; identifying granulation tissue features of wound morphology structure images according to postoperative wound area data to obtain granulation tissue feature data. The present invention constructs anorectal surgery postoperative nursing rehabilitation assessment model based on granulation tissue growth information, step fatigue assessment data and postoperative defecation index data through data processing technology, feature mapping technology and pattern recognition technology; realizes postoperative nursing rehabilitation assessment of patients based on comprehensive functional indicators, thereby improving the accuracy of the assessment.

The invention relates to an OCT (Optical Coherence Tomography) navigation uterine cavity adhesion and dissection postoperative residual adhesion prediction method, which comprises the following steps of: acquiring an interference signal of an intraoperative uterine cavity wall area by utilizing OCT equipment, and identifying an adhesion fiber microstructure which is not completely broken so as to judge the existence of an optically invisible residual adhesion microbridge; applying low-frequency bioelectrical stimulation to the wounded area of the uterine cavity during the operation, and marking the wounded area as a tissue repair electrical activity silent area if no blood flow micro-reaction is continuously detected; oCT micro-deformation sequence analysis is carried out on the region after intraoperative dissection is completed, mutation breakpoints of tissue elastic distribution are identified, and the potential risk that traction after-tack occurs in the region is predicted; detecting whether a metabolic oxidation reaction residual zone exists in the operation area or not so as to judge local tissue repair activity decline and re-adhesion tendency; local micro-intervention stimulation is applied to the tissue area judged to be high in risk, OCT imaging is carried out again to detect the reversibility of tissue optical response, and if an image is still fractured and red shift is enhanced, it is judged that the area is the postoperative irreversible adhesion residual area.

The invention discloses an image enhancement intelligent monitoring system for wound healing evaluation. The image enhancement intelligent monitoring system comprises an image acquisition module, an image optimization module, a feature hierarchical enhancement module, a clinical feature adaptive optimization module, a healing key index construction module and a wound healing monitoring module. The invention belongs to the field of image processing, and particularly relates to an image enhancement intelligent monitoring system for wound healing assessment, according to the scheme, a wound area is enhanced by introducing a percolate interference coefficient, a surrounding area is enhanced by introducing a skin tension coefficient, and the key clinical feature identification degree of wound healing is improved; based on dynamic optimization of credibility, setting a flexible critical value, and dynamically adapting to characteristic fluctuation rules of different wounds; the credible features are only subjected to local fine adjustment, and the low-credibility features are subjected to global gradient correction, so that abnormal value interference is avoided; through flexible mean value correction, a single error is smoothed and a dynamic trend is retained so that a wound healing evaluation monitoring effect is improved.

The invention belongs to the technical field of staging identification of stress injury, and particularly relates to a staging identification method of stress injury based on an intelligent image identification technology, which comprises the following steps: S1, multi-modal data acquisition and preprocessing: acquiring a time sequence image sequence of a target wound, the time sequence image sequence is a plurality of images shot for the same wound at different time points; collecting structured risk factor data of the patient; s2, wound area accurate segmentation and local feature quantification: using a semantic segmentation network to carry out pixel-level segmentation on each wound image; based on the segmentation result, objective biomarkers of the wound are quantitatively calculated; and S3, multi-dimensional image feature extraction: spatial feature extraction: using a deep convolutional neural network. According to the invention, the crossing from static evaluation to dynamic monitoring is realized, the perspectiveness and accuracy of staging are improved, and a multi-modal information fusion decision system is constructed, so that staging judgment is more in line with clinical logic.

The invention is a system and method for establishing an electronic-enhanced methodology for wound care assessment and treatment. Initially, a wound image is received from a mobile device, and the image is analyzed via artificial intelligence to standardize the wound area and tissue type. The wound area and tissue type analytics are then combined with point-of-care wound assessment information manually entered in a proprietary platform. The technological and point-of-care data points are then electronically combined to trigger a standardized dressing guideline with embedded evidence-based standards of care for wound treatment. The electronically generated dressing guideline is then modified over time using machine learning to identify patient and wound characteristics in combination with specific standardized dressing guidelines that result in optimal wound healing.

The invention provides an implantable piezoelectric device and a manufacturing method thereof. The implantable piezoelectric device comprises a device frame, an upper electrode layer, a lower electrode layer and a piezoelectric sensitive layer. According to the implantable piezoelectric device provided by the invention, the deformation degree of the piezoelectric sensitive material under load force is enhanced by using a dot matrix process, the piezoelectric output performance of the device is improved, and the sensitivity of the device is enhanced; in addition, the W-shaped structural design of the device frame is beneficial to alignment and fixation of layers in the piezoelectric device, and the grooves are formed in the edges of the device frame, so that adhesive filling is facilitated, and the sealing performance of the device is enhanced. The size and thickness of the whole device are reduced under the reasonable structural design, so that the implanted wound area is reduced, the wound infection risk is reduced, and the service life of the device is prolonged. And the device frame adopts an integrated manufacturing process, and large-scale industrialization can be realized. Each part of the implantable piezoelectric device is detachable and supports independent replacement, and the implantable piezoelectric device is high in repeatability and convenient to use.

The invention relates to the field of biological dressings, and discloses an artificial dermis dressing as well as a preparation method and application thereof. The preparation method comprises the following steps: adding water into a container, and freezing until the water is frozen; then adding a collagen A solution, freezing and standing; continuing to add collagen B liquid, freezing and standing; continuing to add collagen A liquid, freezing and then freeze-drying; and cross-linking in a glutaraldehyde solution, and cleaning to obtain the artificial dermis dressing. The dressing provided by the invention can provide a good stent effect and promote cell migration and proliferation, and the healing rate is close to 100% after wound making. In the wound healing process, the dressing can inhibit collagen deposition, relieve inflammatory response, inhibit abnormal hyperplasia of blood vessels, inhibit excessive proliferation of fibroblasts and excessive formation of granulation tissues, and effectively prevent scar formation. The dressing can also effectively inhibit abnormal vascular hyperplasia in a wound area, and fibrosis and scar hyperplasia caused by excessive vascular hyperplasia are prevented.

The invention provides an intelligent application management method and application system based on a flexible multi-mode sensor array, relates to the technical field of medical treatment, and aims to solve the problems that an existing wound management method and intelligent dressing are insufficient in the aspects of real-time monitoring, objective evaluation and intelligent decision making. The method comprises the following steps: acquiring multi-dimensional physiological parameter data output by a flexible multi-modal sensor array; dividing the wound area into N grid units; processing the multi-dimensional physiological parameter data in the N grid units to obtain a characteristic value of each grid unit; constructing an N-order feature matrix reflecting the feature relationship among the N grid units; performing singular value decomposition on the N-order feature matrix, and extracting a maximum singular value as a main feature parameter; performing data alignment on the main characteristic parameters and a preset standard healing curve, and calculating to obtain a healing deviation index; determining a wound healing stage according to a preset threshold interval in which the healing deviation index is located; and generating a dressing replacement prompt signal.

The invention relates to a wound recovery recognition system based on deep learning, and belongs to the field of image recognition. The system comprises a wound image processing module, a biological characteristic field conversion module, a dynamic interaction modeling module and a wound recovery comprehensive identification module, wherein the wound image processing module is used for collecting and importing a wound image, and a wound area image is obtained by preprocessing the wound image; the biological characteristic field conversion module is used for converting the wound area image into a biological characteristic field by extracting biological characteristics; the dynamic interaction modeling module is used for performing dynamic interaction modeling based on the biological characteristic field and outputting node state variation; and the wound recovery comprehensive identification module is used for comprehensively identifying the wound recovery degree based on the biological characteristic field and the node state variation. According to the method, the wound recovery process is quantified through deep learning, and the wound recovery condition and trend are conveniently and visually judged.

The invention discloses a gel microneedle loaded with silver nanoparticles and a preparation method and application thereof.The extract nano-silver (AB-AgNPs) is prepared through a green synthesis strategy, a drug-loaded microneedle system is constructed based on carboxymethyl chitosan-vanillic aldehyde-polyvinyl alcohol (CMCS-Va-PVA) composite gel, the AB-AgNPs prepared through the technology are uniform in particle size and stable in dispersion, and the drug-loaded microneedle has the advantages that the drug-loaded microneedle is good in drug-loaded performance and good in drug-loaded performance; the crystal has a typical face-centered cubic crystal structure and metal state Ag0 characteristics; the gel microneedle has good mechanical strength and forming effect, the AB-AgNPs and the gel matrix are stably combined through hydrogen bonds, the chemical properties are kept unchanged, and the system has broad-spectrum efficient bacteriostatic activity and biocompatibility; an in-vitro experiment proves that the green synthesized gel microneedle loaded with the silver nanoparticles has a remarkable capability of promoting the healing of L929 cell tissues; a rat wound experiment proves that the gel microneedle can regulate and control an inflammatory factor network and promote cell migration and tissue regeneration, healing of common and infected wounds is remarkably accelerated, and the wound residue ratio in 9 days is as low as 2.7% and 10.9% respectively.

The invention discloses a drainage tube fixing device for hepatobiliary, pancreatic and spleen surgery drainage, and relates to the technical field of medical drainage tube fixation, the drainage tube fixing device comprises a fixing unit, and the fixing unit comprises two groups of lifting caps, a first clamping cylinder, a second clamping cylinder and a fixing piece; the rotating unit comprises a connecting plate, a plurality of groups of mounting seats, a bonding surface and a binding belt; the magic tape comprises an annular hair surface. The drainage tube has the advantages that the position of the drainage tube can be flexibly adjusted, and pressure and traction on a wound area are reduced at the same time. The holder can alter the path of the drainage tube without increasing the pain of the patient. In addition, the drainage tube can be stably fixed, unnecessary movement is avoided, and therefore stimulation to a patient is reduced. And the hinged opening and closing of the first clamping cylinder and the second clamping cylinder do not need to be sleeved from the root of the drainage tube for use, so that the inconvenience and potential risk caused by stroking the wire are effectively avoided.

The invention relates to the technical field of intelligent medical treatment, and discloses an image-based intelligent wound management method and system, and the method comprises the steps that after an operation is completed, a doctor or a nurse uses a shooting device to shoot an image of an operation wound, and the image is preprocessed; automatically identifying a wound area by using a deep learning algorithm, and automatically marking the edge of the wound; based on the image data and a deep learning model, evaluating the healing progress of the wound, and generating a healing progress report; through image analysis and subjective data uploaded by a patient, the system intelligently detects whether a wound has an infection sign or other abnormal conditions; a patient regularly uploads wound images and provides subjective feeling data, and doctors and nurses monitor the healing condition of the wound in real time; after the patient is discharged from the hospital, the patient continues to photograph or record and upload wound images through the mobile device, and the system automatically provides home nursing suggestions and reminds the patient to pay attention to daily nursing. The method has the advantage of improving the wound treatment effect.

The invention requests to protect an automatic laboratory mouse wound area tracking method and system based on image recognition, images of a wound area are regularly acquired through a multispectral imaging device, parameters such as ambient light and shooting distance are synchronously recorded in the acquisition process to ensure data consistency, the images are preprocessed by using a distributed computing system, and the data consistency is ensured. Inputting the preprocessed image into a deep segmentation model trained based on a large-scale data set to accurately identify and output a binarized contour mask of a wound region, calculating wound geometric features based on the mask, and dynamically generating a quantitative report including an area change rate and a healing trend coefficient; all time sequence data are stored in a time sequence database and used for constructing a complete wound healing track map, and visualization and trend analysis of the healing process are supported. According to the invention, high-flux, automatic and quantitative monitoring of the wound healing process of the laboratory mouse is realized, and objectivity and analysis efficiency of animal experiment data are remarkably improved.

The invention discloses a diabetic foot ulcer monitoring and treatment evaluation device and method based on structured light imaging. The device comprises an image acquisition module, a mechanical arm module, a man-machine interaction module and an information processing module. The mechanical arm module comprises a multi-degree-of-freedom mechanical arm, the image acquisition module comprises at least one structured light image acquisition device, and the mechanical arm drives the image acquisition module to move, acquires three-dimensional point cloud images of feet from different angles and synchronously acquires space coordinates and deflection angles of the image acquisition module; and the information processing module is used for constructing a foot three-dimensional point cloud model by utilizing the three-dimensional point cloud image and the corresponding space coordinates and deflection angles, importing the foot three-dimensional point cloud model into the trained diabetic foot detection and treatment evaluation model for analysis, and displaying a prediction result through the man-machine interaction module. According to the method, the foot three-dimensional point cloud model is reconstructed, the reconstructed model is identified, the area, the volume and the position of the wound surface are evaluated, and then the treatment effect of the current mode can be evaluated.

The invention relates to a device that enables and accelerates wound healing by generating a controlled vacuum used in the healing of chronic and acute wounds and protects the wound area from external effects, and a method for operating said device.

According to the application of the arcangelisia loureiri extract in preparing the burn and scald wound healing medicine, the arcangelisia loureiri crude extract is obtained through extraction and concentration with a decoction method, and wound healing can be promoted by reducing the area of a rat skin wound, shortening the healing time of the rat skin wound, reducing the hyperplasia speed of the skin corium layer and promoting healing of the wound; the effects of remarkably promoting wound healing of burns and scalds and reducing scars are achieved.