206 results about "Postoperative complication" patented technology

The invention relates to the technical field of medical information, in particular to an intelligent prediction model and method for postoperative complications of anesthetized patients, and the method comprises the steps: collecting preoperative to postoperative complete-cycle clinical data of a patient through a medical data interface; analyzing operation codes to generate risk features, extracting vital sign dynamic features, and establishing a complication probability mapping relation through a multi-modal fusion network; combining the complication probability and pharmacokinetic parameters to construct an optimization model, and solving an individualized anesthetic dosage interval by using a gradient descent algorithm; vital signs are dynamically monitored in the operation, a dose re-optimization mechanism is triggered, the infusion rate is adjusted, and a closed-loop control link is formed; and generating a visual decision report. According to the method, through deep integration of complete-cycle clinical data and multi-modal feature modeling, preoperative physiological parameters, operation coding semantic information and intraoperative vital sign dynamic modes are subjected to fusion analysis, a nonlinear mapping relation between dosage and complication probability is constructed, and the risk prediction precision and individualized adaptability are remarkably improved.

The invention relates to the technical field of medical monitoring and early warning, and discloses a postoperative care risk early warning system for neurosurgical patients. According to the system, real-time monitoring flows of electroencephalogram, intracranial pressure and body surface myoelectricity of a patient are continuously received, and a dynamic interaction network of neuroelectrophysiology and intracranial mechanical states is constructed so as to represent the coupling relation among electroencephalogram rhythm, pressure conduction and postoperative skull windowing area tissue compliance. The system analyzes three types of core parameters of cerebral cortex excitability, cerebrospinal fluid circulation load and cranial cavity compensation space from the network, further calculates a brain tissue perfusion risk and a neural structure compression risk, and generates a corresponding nursing early warning signal and a physiological regulation path. According to the scheme, deep coupling and mechanism risk early warning of multiple physiological signals are achieved, and the postoperative complication risk can be recognized earlier and more accurately.

The invention discloses an integrated management system and method for postoperative care of orthopedic patients, and relates to the technical field of medical treatment. Comprising a bone mineral density dynamic monitoring value, six-dimensional mechanical parameters of a joint movement track, emotion spectrum characteristics in voice interaction, microenvironment temperature and humidity changes collected by wearable equipment and skin surface pressure distribution; inputting the recovery data into a multi-modal decision-making model based on orthopedic biomechanics improvement, and generating a nursing scheme including a skeleton stress safety interval, a virtual rehabilitation scene dynamic parameter and an interdisciplinary intervention priority; the scheme parameters are dynamically optimized through a layered reinforcement learning framework special for the orthopedics department, and the deformation logic of the 3D printing brace and the correction strategy of the nursing robot are synchronously controlled; based on the postoperative complication space-time prediction map, a multidisciplinary collaborative response instruction strictly matched with the rehabilitation stage of the patient is triggered.

The invention relates to the technical field of medical treatment, in particular to an intelligent general surgery preoperative risk assessment system which comprises a data acquisition module, a data fusion and processing module, a feature extraction module, a risk assessment module, a prediction and optimization module and a visual display module. The data fusion and processing module adopts a multi-modal data fusion algorithm to generate a patient comprehensive information model, the feature extraction module extracts cardiovascular health status, renal function and tumor marker key features, and the risk assessment module constructs a preoperative risk assessment model to generate a preoperative risk score; the prediction and optimization module predicts the risk of postoperative complications, and the visual display module displays an evaluation result and a prediction result in real time through a graphical interface; according to the method, the accuracy and scientificity of preoperative risk assessment and postoperative complication prediction are remarkably improved, and reliable support is provided for postoperative management of patients.

The invention discloses a thoracic surgery postoperative complication assessment method and system based on multi-dimensional analysis, and relates to the technical field of thoracic surgery postoperative complication. Key sign signals such as heart rate fluctuation amplitude Cxv, respiratory rhythm drift coefficient Chx, pulse waveform disturbance degree Cmd and epidermal temperature change rate Cbt of a postoperative patient are continuously collected and denoised through a postoperative sign data acquisition module, and a structured sign data set TW is formed. By means of the method, tiny physiological fluctuation of a postoperative patient within 24 hours can be captured, early risk signals are prevented from being neglected, and the time sensitivity of complication recognition is improved from the source. A dynamic sliding window regression technology is introduced to carry out trend modeling on the sign data, so that a miniature instability section can be accurately extracted; through the improvement, the system can capture precursor signals of potential infection and bleeding earlier, and the possibility of early intervention is improved.

The invention discloses a TAVR postoperative blood flow parameter complementing method based on CT-MRI fusion, and belongs to the technical field of crossing of medical image processing and computational fluid mechanics. A CT valve frame registration technology is adopted, an invisible artificial valve leaflet three-dimensional structure is reconstructed through valve frame information in a CT image and is coupled with a dynamic heart model, a complete valve mechanical and functional simulation platform is constructed, the problem of an imaging blind area is solved, hemodynamic parameters of an inlet and an outlet of a postoperative area are further collected in combination with 4D Flow MRI, and the artificial valve leaflet three-dimensional structure is obtained. The blood flow conditions of the upstream and the downstream of the artificial valve area at each stage of contraction and relaxation of the TAVR postoperative part are comprehensively restored, the temporal-spatial resolution and the physical authenticity of the boundary condition in fluid-solid coupling simulation are greatly improved, and the more real passive response of the valve leaflet under the action of the blood flow is obtained; and a reliable basis is provided for quantitative and mechanical risk analysis of postoperative complications such as thrombosis, perivalvular leakage and valve leaflet fatigue.

The invention discloses a thoracic surgery postoperative drainage monitoring data processing method and a thoracic surgery postoperative drainage monitoring data processing system. The method comprises the following steps: synchronously acquiring thoracic respiration dynamic characteristics of a patient and fluid dynamic characteristics of a thoracic closed drainage system through a data acquisition module; the central processing server establishes a time sequence mapping relationship between the two, performs feature fusion analysis, and calculates to obtain a thoracic cavity-pipeline coupling efficiency index; performing logic judgment on the postoperative recovery state of the patient on the basis of the index, and identifying a chest-pipeline fluid transmission state including breathing work limitation, drainage channel blockage and pleural cavity air leakage; and dynamically generating a grading equipment response strategy including adjusting training intensity and triggering pipeline maintenance early warning or analgesia intervention according to an identification result. According to the method, accurate recognition and closed-loop management of postoperative complications are achieved by quantitatively evaluating the linkage relation between respiration driving and drainage response.

The invention provides a thoracic surgery respiratory training system and method, and the method comprises the steps: constructing a respiratory-physiological feature tensor through the time sequence change of a respiratory airflow parameter during respiratory training in combination with the fluctuation feature of blood oxygen saturation in the respiratory training process, and carrying out the space-time convolution fusion of the respiratory-physiological feature tensor and a chest respiratory movement track, obtaining a respiratory efficiency index; constructing a taboo risk vector based on the risk relationship map of the thoracic surgery postoperative complications and the electronic medical record of the target user, and generating a complication risk entropy of the target user under the current respiratory training according to the taboo risk vector in combination with the pain tolerance physiological data; and according to the respiratory efficiency index and the complication risk entropy, determining a dynamic adaptation margin of the target user to current respiratory training, and based on the dynamic adaptation margin, dynamically adjusting the training resistance of the self-adaptive resistance adjustment respiratory training device. By the adoption of the scheme, a multi-dimensional respiratory training feedback mechanism can be constructed to conduct self-adaptive adjustment on the training resistance.

The invention relates to the technical field of medical information analysis, in particular to a thoracic surgery postoperative complication assessment method and system based on multi-dimensional analysis, and the method comprises the following steps: S1, obtaining a postoperative multi-dimensional monitoring data set; s2, performing standardized preprocessing on the multi-dimensional monitoring data set to generate standardized monitoring data; s3, classifying and integrating the standardized monitoring data into physiological function data, drainage feature data and motion perception data according to data types; s4, chest dynamic pressure change analysis is carried out, and pressure gradient change parameters are calculated; s5, obtaining an abnormal metabolite ratio index; and S6, generating a complication risk assessment report. According to the method, through standardized integration and weighted analysis of the multi-dimensional postoperative monitoring data, accurate quantitative evaluation and graded output of the thoracic surgery postoperative complication risk are realized, and the reliability of early warning and the timeliness of clinical intervention are improved.

The invention relates to the technical field of medical information processing, in particular to an intelligent prediction system and method for postoperative complications of anesthetized patients, and the system comprises a data collection module, a difficult case-sensitive preprocessing module, a double-level prediction module, a parameter adaptive optimization module, a multi-modal feature fusion module and a time sequence-sensitive risk assessment module. The data acquisition module is responsible for collecting intraoperative and personal information of anesthesia patients, the difficult case sensitive preprocessing module preprocesses data, identifies samples difficult to predict and allocates high weights, and the double-level prediction module comprises a basic prediction unit and a fine adjustment unit and is used for performing preliminary feature extraction, risk assessment and prediction adjustment. The parameter self-adaptive optimization module monitors performance indexes and dynamically adjusts network parameters, the multi-modal feature fusion module fuses different types of data features, the time sequence sensitive risk assessment module divides the anesthesia process, dynamically captures risk changes and generates the risk probability of postoperative complications, and the prediction sensitivity of high-risk postoperative complications is improved.

The invention belongs to the technical field of lung tissue lesion positioning, and particularly relates to a lung tissue lesion position positioning system and method based on three-dimensional reconstruction. According to the method, overall and local two-stage registration is combined, whole-lung expansion errors are corrected, local deformation is compensated, the lesion position and image alignment is achieved, the three-dimensional lesion position is displayed through the augmented reality technology, doctors are helped to visually master spatial distribution of the focus in the body of a patient, the safety and the success rate of operation or needle biopsy are improved, and the operation efficiency is improved. Based on a breathing model and an elastic registration method, the method can adapt to lung compliance differences and breathing movement conditions of different patients, is particularly suitable for severe or old patients difficult to keep stable breathing, reduces the risk of blind penetration or excessive resection through accurate positioning, and reduces tissue damage and the occurrence rate of postoperative complications.

The invention discloses a gynecological general anesthesia postoperative complication prediction modeling method based on pathological data analysis, and relates to the technical field of postoperative complication prediction, and the method comprises the following steps: collecting preoperative, intraoperative and postoperative multi-dimensional pathological and clinical data of gynecological general anesthesia; establishing a space-time incidence matrix of anxiety psychology, intraoperative pathology and complications; and constructing a gynecological general anesthesia postoperative complication prediction model based on a multi-modal deep learning prediction architecture based on the space-time incidence matrix. Through combination of multi-dimensional data fusion, dynamic correlation analysis and deep learning, transformation from an empirical decision to a data-driven decision is realized. The time-space incidence matrix provides standardized risk assessment logic for doctors; the prediction capability of the model on rare complications fills the prediction blank in a small sample scene. Finally, through real-time risk early warning and individualized intervention suggestions, the safety of the gynecological general anesthesia operation is remarkably improved, the postoperative recovery time of a patient is shortened, and the method has important clinical transformation value.

The invention relates to the technical field of medical informatization and intelligent nursing, in particular to a general surgery department patient postoperative complication risk prediction and nursing decision-making system, which comprises a baseline manifold construction module for initializing an individualized steady state manifold in a preset multi-dimensional state space based on historical operation parameters and basic state data; the perturbation response topology evaluation module is used for calculating a recovery attenuation coefficient after the real-time phase trajectory deviates from the individualized steady state manifold so as to generate a steady state dissipation index and a growth rate; the offset course quantity decoding module is used for adjusting a dynamic threshold value based on a time delay parameter and an embedded dimension parameter on the basis of the basic state data; the risk prediction module is used for weighting, merging and normalizing the growth rate of the steady-state dissipation index and the modulus length of the course deviation vector to generate a risk prediction evaluation result; the decision closed-loop module is used as a secondary perturbation variable and sends the secondary perturbation variable to the perturbation response topology evaluation module for continuous monitoring; according to the invention, the baseline anchoring precision in different clinical scenes is improved.

The invention provides a cardiovascular postoperative gradient pressure reduction type hemostasis device, and relates to the technical field of medical instruments, the cardiovascular postoperative gradient pressure reduction type hemostasis device comprises a controller, a pressing assembly and fixing assemblies, the pressing assembly and the fixing assemblies are electrically connected with the controller, and the two fixing assemblies are symmetrically connected to the two sides of the pressing assembly; an initial pressure setting module and a gradient decompression curve generation module are configured in the controller; the pressing assembly comprises a positioning ring and a pressing column penetrating through the center of the positioning ring; the fixing assembly comprises a deformation claw and a flexible adsorption block connected to the deformation claw. By monitoring the biological impedance and the skin temperature in real time and combining the self-adaptive gradient decompression algorithm to dynamically adjust the pressure, personalized hemostasis is achieved, limitation of a traditional constant pressure mode is avoided, the risk of postoperative complications is reduced, and the comfort and safety of a patient are improved; the problem that in the prior art, the treatment effect is poor due to the fact that pressing hemostasis is conducted through experience or a device with fixed strength is used is solved.

The invention relates to the technical field of medical monitoring equipment, in particular to an intelligent drainage monitoring system and method after a hepatotomy based on multi-modal sensing, and the system comprises a sensing data collection module, a signal processing module, a data fusion analysis module and an abnormity recognition early warning module. The sensing data acquisition module comprehensively acquires pressure, component and diffusion state data of drainage liquid by utilizing an optical fiber pressure sensor array, a micro spectral analysis device and a biological impedance sensor, the signal processing module converts sensing data into digital signals, and the data fusion analysis module performs fusion analysis on the drainage liquid based on the signals. According to the system, the content of bilirubin and hemoglobin in drainage liquid and the diffusion state of the bilirubin and hemoglobin in the abdominal cavity are recognized and comprehensively analyzed, the abnormity recognition and early warning module compares an analysis result with a preset normal index, the abnormal condition is determined, an early warning signal is generated, the intelligence and accuracy of drainage management are effectively improved, and the working efficiency is improved. Postoperative complications can be reduced, and the rehabilitation quality of a patient can be improved.

The embodiment of the invention provides a dynamic evaluation method and device for the NVC function of a carotid artery stenosis crowd, a medium and a program product, and relates to the field of intelligent medical treatment. The method comprises the following steps: acquiring a resting middle cerebral artery average blood flow velocity Vm of a sample in a resting state and an exercise middle cerebral artery average blood flow velocity Vm of the sample in an exercise load state; according to the average blood flow velocity Vm of the middle cerebral artery during movement and the average blood flow velocity Vm of the middle cerebral artery during resting, a movement-induced blood flow response index EIFR is obtained through calculation; the motion-induced blood flow response index EIFR is an NVC parameter; and obtaining an evaluation result of whether the NVC function is abnormal or not according to whether the NVC parameter is reduced or not. On the basis of a quantifiable NVC function evaluation system in a constant motion state, objective screening standards are provided for stroke high-risk groups, a long-term follow-up visit plan is made, and an accurate quantitative basis is provided for clinical intervention decision and postoperative complication prediction.

The invention relates to a thoracic surgery postoperative complication prediction method and system, and belongs to the technical field of medical care information.The thoracic surgery postoperative complication prediction method comprises the following steps that S1, preoperative physiological reserve data and postoperative time sequence monitoring data of a patient are collected; s2, constructing an initialized physiological network diagram model based on the preoperative physiological reserve data, and generating an initial state vector for each node in the model; s3, generating an updated node state vector in combination with the previous moment state vector of the node and the post-operation time sequence monitoring data by adopting a circulating updating unit; s4, based on the updated node state vector, calculating a vulnerability score of each node and an attention coefficient between the nodes; and S5, calculating a system toughness index of the physiological network based on the vulnerability scores of all the nodes, and combining the vulnerability scores with the attention coefficient to quantify the cascade propagation risk. The method is significantly superior to a traditional threshold-based static alarm system.

The invention discloses a percutaneous kidney lithotripsy surgery endoscope and a using method thereof. The percutaneous kidney lithotripsy surgery endoscope comprises an electronic endoscope, an endoscope sheath assembly, a guide wire and a puncture needle. The electronic endoscope and the puncture needle are both internally provided with instrument channels allowing the guide wire to penetrate through, and the electronic endoscope is provided with a two-way valve assembly matched with the guide wire to achieve two-way sealing. The two-way valve assembly comprises a two-way valve plate, the two sides of the two-way valve plate are locally sunken towards the middle to form an upper pressing face and a lower pressing face, and a sealing gap for a guide wire to penetrate through is formed between the two pressing faces. Reliable two-way sealing of the whole penetrating, staying and operating process of the guide wire is achieved, leakage of expanded cavity liquid and entering of external air can be effectively prevented, the working pressure in the kidney is stably maintained, the clear operation view is guaranteed, complications such as postoperative infection and perirenal liquid exosmosis are reduced, smooth operation of the guide wire is not hindered, the operation safety and controllability are improved, and the operation efficiency is improved. The structure is reasonable and practicability is high.

The application provides a sodium phosphate salt complex, which comprises 15-30 parts by weight of sodium dihydrogen phosphate or a monohydrate thereof, 3-6 parts by weight of disodium hydrogen phosphate, 0.05-0.3 parts by weight of lidocaine hydrochloride, 0-0.04 parts by weight of a fragrance and 0-0.25 parts by weight of a sweetening agent. The sodium dihydrogen phosphate or the monohydrate thereof, the disodium hydrogen phosphate and the lidocaine hydrochloride are prepared into a complex, and are administered simultaneously in use, so that the clinical effect is remarkable when the intestines are cleaned, the drug satisfaction is improved, the enteroscopy quality is improved, the postoperative exhaust defecation time is reduced and postoperative complications are reduced.

The application relates to the technical field of medical suture materials, and particularly discloses a non-absorbable suture with tissue self-adaptive performance, which comprises a core layer, a transition layer and an outer layer; the core layer and the transition layer are fixed through hot melt adhesion, and the outer layer is coated on the surface of the transition layer through electrostatic spinning; the core layer is a polyether ether ketone fiber with a diameter of 50-100 mu m and a tensile modulus of greater than or equal to 3 Gpa; the transition layer is a nickel-titanium alloy wire braided net with a thickness of 40-60 mu m, and the wire diameter of the nickel-titanium alloy wire is 20-30 mu m; and the outer layer is a poly-lactic acid-glycolic acid copolymer coating layer containing nano-hydroxyapatite with a thickness of 30-50 mu m; and the application further provides a preparation method of the non-absorbable suture. The non-absorbable suture has the advantages of tissue self-adaptive performance, persistent mechanical support and bioactivity, can effectively avoid tissue cutting, abrasion and suture loosening, and can reduce the incidence of postoperative complications such as inflammation and pain.

The utility model discloses a finger tip passive rehabilitation device after a TIR (total infrared ray) operation, a rehabilitation training piece comprises a palm sleeve capable of being worn on the hand of a patient, the palm sleeve is provided with a finger training piece corresponding to fingers, the finger training piece comprises an annular piece and a finger sleeve which are sequentially arranged, the annular piece is connected with the palm sleeve through a finger connecting piece, and the finger sleeve is connected with the palm sleeve through a finger connecting piece. Finger tip detection pieces are arranged at the ends of the finger sleeves, a detection control piece is arranged on the back of the palm sleeve, the detection control piece is connected with the finger tip detection pieces, and a display area and a voice prompt structure are arranged on the detection control piece. According to the TIR post-operation finger tip passive rehabilitation device, in the massage rehabilitation operation process, a patient operates according to the prompt of the voice prompt structure on the detection control piece, the finger tip detection piece can sense the finger tip hyperemia and the finger tip blood sample saturation of the patient, and the finger tip detection piece can detect the finger tip hyperemia and the finger tip blood sample saturation. The display area can display the blood sample saturation and rehabilitation training conditions of the patient, disease rehabilitation is facilitated, and postoperative complications are reduced.

The present application relates to a kind of anterior cervical dynamic fixation plate, including first bone plate and second bone plate, first bone plate and second bone plate can be limit expansion and limit rotation and nested connection between, first bone plate corresponds the end of second bone plate and is equipped with connecting plate, both sides of connecting plate are respectively equipped with lug, second bone plate inside is equipped with the cavity of accommodating connecting plate, both sides of cavity are respectively equipped with limit sliding slot, connecting plate can limit rotation and be set in cavity inside and the lug can limit sliding and be covered in limit sliding slot, first bone plate and second bone plate are opened on the each cervical vertebra segment of corresponding patient anterior cervical fixed and have fixed hole.The present application can be based on guaranteeing cervical vertebra fixed segment stability, realize that cervical vertebra fixed segment has a certain range of expansion and lateral bending activity, while it can also avoid excessive activity, it is favorable to reduce postoperative complication, and it is favorable to the reservation of cervical vertebra motor function.

The application discloses an STM2457-PLGA nano drug, an artificial lens and a preparation method and application thereof, and relates to the technical field of biological medicine. The preparation method of the STM2457-PLGA nano drug comprises the following steps: preparing nano microspheres by injecting an oil phase comprising STM2457 and PLGA and a water phase comprising PVA into a microfluidic chip, and obtaining the STM2457-PLGA nano drug after freeze-drying of the nano microspheres, wherein the particle size of the STM2457-PLGA nano drug is 50-300 nm. The long-acting release of STM2457 carried by the surface-modified artificial lens is realized through the controlled release effect of the PLGA nano microspheres, and the slow-release period can cover the high-incidence period of postoperative complications of cataract surgery through process optimization, far exceeding the traditional short-term release system, and can continuously meet the long-term prevention and treatment needs after surgery, and effectively reduce the risk of complications such as after-cataract.

The present invention belongs to the technical field of oral implants, and discloses a dental implant bridge base assembly, comprising: an implant, serving as a supporting structure for the entire assembly; a base, connected to the implant, serving as a transition component connecting the implant and an upper restoration; a screw, connected to the base and the implant, for connection and fixation of the implant and the base; a fixed-point warning mechanism comprising: a supporting structure, a circular ring, a base plate, a trapezoidal plate, a vertical plate, a metal bar and a knocking piece; a supporting structure is connected to the outer side of the base, a circular ring is connected above the supporting structure, and a stable support is provided for the circular ring. The beneficial effects of the present invention are: the sound warning can intuitively remind the doctor to install the device in place, reduce structural damage and postoperative complications caused by improper operation, improve the success rate of implantation, reduce the patient's physiological pain and economic burden, and ensure the service life of the implant restoration.

The application discloses a needle insertion method and an auxiliary device for puncture surgery, and comprises the following steps: S1, acquiring medical image data of a target part; S2, determining a tomographic image where the target part is located; pre-processing the image, confirming an accessible area of a puncture needle, and then confirming a target needle insertion track. The application has the beneficial effects that different levels of tomographic images are analyzed, and inaccessible areas in each area are avoided, so that the safety of needle insertion in puncture surgery can be ensured, the safety of surgery is improved, the incidence of postoperative complications of patients is reduced, radiation can be reduced, and the pain and distress of patients caused by the radiation can be reduced.

This application discloses a method and system for postoperative management of gynecological tumors. The method includes: acquiring postoperative vital sign monitoring data of the patient within a preset time period, the vital sign monitoring data including bleeding parameters; determining the postoperative bleeding risk assessment result based on the bleeding parameters, and determining the postoperative incision management strategy based on the bleeding risk assessment result and the vital sign monitoring data; acquiring multidimensional vital sign data of the postoperative patient during the implementation of the incision management strategy; identifying potential postoperative complications based on the multidimensional vital sign data, generating postoperative management strategies for potential complications, and generating corresponding home care guidance for the postoperative management strategies. This application can effectively improve the rehabilitation quality of postoperative patients with gynecological tumors, reduce the occurrence of complications, and promote rapid patient recovery.

This invention provides a prone pressure-sensing mattress, belonging to the field of medical device technology. It includes a base, a reclining board fixed to the top of the base, a mattress on the upper surface of the reclining board, a headband pad and multiple adjustable support pads arranged sequentially along the upper surface of the mattress. The internal skeleton structure of the support pads includes a base plate, multiple pressure sensors fixed to the upper surface of the base plate, and a fixing plate mounted on the top of the multiple pressure sensors. A soft pad is fixed to the upper surface of the fixing plate. An alarm is fixed to the end of the reclining board near the headband pad, and the alarm is communicatively connected to the pressure sensors. A fixing frame is fixed to the other end of the reclining board. A roller is rotatably installed inside the mattress, and a disposable film is wound onto the roller. When used for patients after silicone oil filling surgery, this invention not only provides comfortable prone positioning but also detects and reminds them of their posture, which helps improve medical outcomes and reduce the risk of postoperative complications.

This invention discloses a hysteroscopic plasma snare device, comprising an operating handle, an operating ring electrode rod, a plasma coil, a basket, and a coagulation electrode. The operating ring is fitted onto the operating handle, the electrode rod is located at one end of the operating handle, and the plasma coil is located at one end of the electrode rod. The plasma coil is controllably contracted within the electrode rod. The basket for retrieving excised tissue is located on the plasma coil, and the coagulation electrode is located at the end of the plasma coil, allowing for controlled coagulation at the tissue excision site. Advantages include: supplying physiological saline to the plasma coil at one end of the electrode rod to generate plasma for excision of the affected tissue; ease of use and preservation of the excised tissue; using the basket to hold the excised tissue for complete removal, facilitating pathological analysis; and timely coagulation at the excision site using the coagulation electrode, reducing postoperative complications and avoiding equipment changes during surgery, making it convenient and quick to use.

The utility model relates to the technical field of medical instruments, in particular to a pen holding type electric flushing gun which is provided with a pipe body, a water inlet pipe, a water outlet pipe and a water inlet pump are respectively arranged in the pipe body, and the front ends of the water inlet pipe and the water outlet pipe respectively extend to the closed end face of the front end of the pipe body. The water inlet pipe is connected with a water inlet pump in the pipe body and then extends out of the pipe body to be connected with an external water source, a detachable flushing connector is arranged at the front end of the pipe body and comprises an outer sleeve and an inner sleeve, the front end of the outer sleeve is open and is in supporting connection with the outer wall of the inner sleeve through a connecting rod, and the rear end of the outer sleeve is connected with a sealing plate. A water inlet hole and a water outlet hole are symmetrically formed in the sealing plate, the water outlet hole is communicated with the outer sleeve, the front end of the inner sleeve extends out of the outer sleeve, and the rear end of the inner sleeve extends to the water outlet of the sealing plate of the outer sleeve. The device has the advantages that the structure is simple, the flushing effect is good, local residual flushing fluid and waste tissue residues after an operation are avoided, the pain of a patient is reduced, and postoperative complications are reduced.