578 results about "Surgical risk" patented technology

The invention discloses an AI-based neurosurgery auxiliary robot visual positioning system, and relates to the field of visual positioning, which comprises the steps of deploying and initializing structured light scanning equipment and near-infrared imaging equipment, carrying out multi-modal image acquisition on a surgical area, and carrying out standardization processing, space-time alignment and fusion on the acquired image. A multi-modal visual acquisition and preprocessing module, a three-dimensional tissue model construction and registration module, a visual-anatomical feature recognition and extraction module, an AI auxiliary positioning and path optimization module, an intraoperative dynamic perception and feedback control module and a target position confirmation and instruction output module are constructed. According to the method, high-precision identification and dynamic modeling of a brain tissue structure are realized, real-time identification, path planning and position correction can be carried out on a key anatomical structure in an operation process, the precision, the intelligent level and the intra-operation response capability of neurosurgery operation are remarkably improved, the operation risk is effectively reduced, and the positioning reliability and the automatic control efficiency are improved.

The invention relates to the technical field of assessment and early warning systems, and particularly discloses a rectal cancer operation risk assessment and early warning system based on multi-modal data fusion, which comprises a multi-modal data acquisition module, a data preprocessing module, a cross-modal fusion module, a dynamic risk assessment module, an intelligent early warning module and a system self-checking module. By integrating multi-modal data and dynamically allocating weights, real-time risk updating in the whole operation period is achieved, the comprehensiveness, timeliness and precision of risk assessment are comprehensively improved by combining the grading early warning function, the autonomous detection calibration function and the risk tracing and countermeasure matching function, long-term reliable operation of the system is guaranteed, powerful support is provided for clinical decision making, and the risk assessment method is suitable for clinical decision making. The surgical risk and the complication occurrence rate are effectively reduced.

The invention belongs to the technical field of medical image assistance, and particularly relates to an auxiliary stereo imaging system and method for a complex chest trauma operation. By integrating multi-modal image data, real-time three-dimensional space capture, dynamic correction and risk score driven view adjustment, accurate assistance of the thymotomy operation process is achieved, the accuracy and safety of the operation are improved, the operation risk and operation difficulty are remarkably reduced, and the operation efficiency is improved. By acquiring and processing multi-modal image data in real time, a high-precision three-dimensional anatomical structure model containing thymus tissues, a blood vessel network and nerve distribution can be constructed, a visual surgical navigation view is provided for a doctor, meanwhile, a dynamic correction technology is adopted, thymus displacement parameters caused by thoracic cavity respiratory movement of a patient are monitored in real time, and the thoracic cavity of the patient can be accurately and accurately positioned. And on the basis, the real-time three-dimensional space data is dynamically adjusted, so that the spatial synchronization of the image data and the anatomical structure is ensured, and the navigation error caused by respiratory movement is effectively avoided.

The invention belongs to the technical field of medical electronic equipment, and discloses a control system for alternative electrical stimulation of idiopathic tremor, and the system comprises a signal collection module which is used for obtaining tremor motion data of a patient in real time; the signal processing module is used for analyzing tremor frequency, amplitude and phase characteristics; the dynamic parameter generation module is used for generating an alternate stimulation mode according to the tremor characteristics; and the electrode array module comprises at least two stimulating electrodes and a reference electrode. The invention provides a non-invasive and dynamically optimized alternate electrical stimulation control system which is used for inhibiting hand tremor of an idiopathic tremor patient, regulation and control of a tremor network can be enhanced by alternately stimulating different peripheral nerves, the curative effect can be improved through closed-loop feedback optimization parameters, long-acting and safe tremor inhibition is achieved, and the treatment effect is improved. The problems of insufficient curative effect, nerve adaptability, surgical risk and the like in the prior art are solved.

The invention relates to the technical field of medical equipment, in particular to an ultrasonic soft tissue operation accessory intelligent recognition and energy regulation and control system and method.The ultrasonic soft tissue operation accessory intelligent recognition and energy regulation and control system comprises an intelligent recognition module used for recognizing the type, specification and real-time use state of an operation accessory to serve as an output result; the energy regulation and control module is connected with the intelligent identification module and dynamically adjusts the output parameters of the ultrasonic energy according to the output result of the intelligent identification module; and the man-machine interaction module is respectively connected with the intelligent identification module and the energy regulation and control module and is used for displaying the identification result, the energy parameters and the early warning information. According to the result of the intelligent recognition module, dynamic adjustment of ultrasonic energy output parameters is achieved through the energy regulation and control module, and smooth operation is ensured; when it is detected that the accessory temperature exceeds the preset threshold value or the impedance abnormally and suddenly rises, energy supply is rapidly cut off, the surgical risk caused by energy abnormity is effectively prevented, and the safety of a patient is guaranteed.

The invention discloses an auxiliary renal puncture device for the nephrology department, and belongs to the technical field of renal puncture, the auxiliary renal puncture device comprises a sickbed, a plurality of supporting legs are fixedly arranged at the bottom of the sickbed, fixing plates are fixedly arranged on the two sides of the sickbed, and second sliding blocks are slidably connected to one sides of the two fixing plates; the breathing frequency and amplitude of a patient are captured in real time through an infrared breathing monitoring module, and displacement data generated by breathing of the kidney are accurately obtained in combination with motion sensing modules such as a lead screw encoder and a driving gear angle encoder. The intelligent control system drives the first stepping motor and the second stepping motor to adjust the position of the portal frame based on six-dimensional force sensor data of the force sensing module, meanwhile, the angle of the puncture needle is adjusted in real time through feedback of a mechanical arm joint encoder, and dynamic compensation of kidney respiratory movement is achieved. According to the mechanism, the puncture deviation caused by breathing can be controlled within the range of + / -0.5 mm, the puncture positioning precision is remarkably improved, and poor sample quality or operation risks caused by breathing movement are avoided.

The invention belongs to the technical field of ablation puncture navigation, and particularly relates to an ablation puncture surgery navigation system under AI visual guidance. Through cooperative work of the phase monitoring module, the channel construction module, the needle moving control module, the displacement prediction module and the feedback control module, an intelligent surgical navigation system is constructed, breathing phase information and multi-modal medical image data of a patient can be obtained in real time, and therefore a safe and optimized needle moving path is accurately planned, and the operation accuracy is improved. Meanwhile, through real-time monitoring and quantitative evaluation of parameters such as tissue deformation and pressure distribution in the needle moving process, potential operation risks can be found and corrected in time, smooth operation is ensured, in addition, the system can dynamically adjust the needle moving path and the puncture angle according to the real-time breathing state of a patient, and the operation safety is improved. The accuracy and the safety of the operation are further improved, so that intelligent management and personalized treatment in the ablation puncture operation process are realized.

The invention provides a liver blood flow and anesthesia depth combined monitoring system in a liver operation. The liver blood flow and anesthesia depth combined monitoring system comprises seven modules including a multi-source data collector, a signal preprocessor, a physiological coupling model calculator, an operation recognizer, a brain-liver information flow analyzer, a risk prediction early warning device and a clinical decision assist device. According to the system, liver blood flow parameters and anesthesia depth parameters are collected and analyzed in real time, a dynamic coupling relation model between the liver blood flow parameters and the anesthesia depth parameters is established, and in combination with automatic recognition of surgical operation and quantitative analysis of brain-liver information flow, early prediction and early warning of surgical risks are achieved, and individualized clinical decision support is provided.

The utility model discloses a flushing and pressure measuring pipeline of an endoscope flushing and suction system, which comprises a machine base, a peristaltic pump is arranged on the machine base, a flushing container is connected with the peristaltic pump and the flushing container through pipelines, and a filling and pressure measuring connector is communicated with an endoscope through a three-way connector. The perfusion pressure measuring bottle comprises a balloon bottle, a pressed connector is arranged at one end of the balloon bottle, the end, away from the pressed connector, of the balloon bottle is a threaded end, and the threaded end is an open connector end. A pressure transmission connector is arranged on the threaded end, a pressing disc is arranged at the end, close to the threaded end, of the pressure transmission connector, a protruding sealing ring base is arranged on the side, away from the pressure transmission connector, of the pressing disc, the pressing disc is sleeved with an air bag in an expansion state, and the air bag wraps the sealing ring base and then is arranged on the pressing disc in a sleeving mode. And the air bag is arranged in the cavity of the balloon bottle. The air bag is arranged in the saccule bottle of the flushing and perfusion pressure measuring bottle used in the endoscopic surgery, so that an isolation effect is achieved, a bacterium-blocking pressure measuring flushing pipeline is achieved, and the surgical risk is reduced.

The invention relates to the technical field of intelligent medical information, in particular to a urinary surgery risk AI intelligent assessment method and system. The method comprises the steps that intraoperative data in the urinary surgery operation process are collected in real time; inputting the intraoperative data into a risk feature fusion AI model, performing context association analysis of different stages of the operation, and fusing each intraoperative multi-source modal feature to generate a risk assessment comprehensive feature set; analyzing the risk assessment comprehensive feature set by using a risk assessment prediction AI model, dynamically adjusting the priority and prediction weight of each risk index in combination with a doctor judgment priority weight adjustment mechanism, and predicting to obtain an intra-operative real-time comprehensive risk score; and visually displaying the intraoperative real-time comprehensive risk score and the risk prompt information in a terminal in real time. According to the AI intelligent assessment method, the causal relationship between the risks is constructed by associating the data of each stage of the operation with doctor judgment, and the AI intelligent assessment method capable of dynamically predicting the key risks in the operation process is realized.

The invention discloses a spring probe system for rapid registration of articular cartilage based on 3D printing, and relates to the technical field of medical imaging and orthopedic surgery navigation. The problem that the joint registration precision is insufficient due to the fact that cartilage cannot be developed in traditional CT imaging is solved. Through personalized customization of the 3D printing guide plate, convenient installation of positioning holes, adjustability of the spring probe assembly and real-time data monitoring, and automatic data processing of the intelligent registration module, manual operation is reduced, the operation efficiency is improved, the spring probe assembly is reasonable in structure and adjustable in elastic force, stable operation of the system in an operation is guaranteed, and the operation safety is improved. Multi-position CT scanning is combined with an advanced image processing and registration technology, an accurate initial model is constructed, a spring probe assembly collects data and is combined with an elastic deformation compensation model to correct registration errors in real time, the registration accuracy is improved, reliable support is provided for orthopedic surgery navigation, the surgery success rate can be improved, and patient wounds and surgery risks are reduced.

The invention relates to the technical field of medical equipment, and provides a multi-modal lymphedema assessment and surgical navigation system based on image processing, which comprises a 3D scanning modeling module used for acquiring three-dimensional point cloud data of the body surface of a patient through structured light 3D scanning equipment, an iconography examination analysis module used for performing U-Net image segmentation on CT / MRI image data, and an image processing module used for processing the CT / MRI image data. The ultrasonic result calculation module is used for carrying out Canny edge detection on an ultrasonic image to determine the boundary of a surgical site, and the data integration and navigation generation module is used for realizing multi-modal data fusion through mutual information maximization, generating a surgical path based on FMM and carrying out real-time navigation in combination with an AR technology. According to the method, objective evaluation of lymphedema and accurate navigation of the operation are realized through accurate integration of multi-modal data and an image processing technology, the diagnosis and treatment accuracy is effectively improved, the operation risk is reduced, complications are reduced, and a scientific basis is provided for personalized treatment.

The invention discloses a personalized orthopedic surgery planning method based on machine learning, and relates to the technical field of personalized medical treatment, and the method comprises the steps: collecting medical data of a patient, generating a personalized basic data set of the patient, building a risk prediction model, and obtaining a predicted surgical risk score; preprocessing the basic data set, and extracting features of the skeleton structure of the patient based on a deep learning algorithm; training the personalized orthopedic surgery planning model, optimizing the historical patient data based on the personalized orthopedic surgery planning model, and predicting an optimal surgery plan; and outputting a personalized operation scheme according to the trained machine learning model. According to the method, machine learning and personalized orthopedic surgery planning are combined, a personalized surgery scheme is customized for each patient, the most suitable surgery scheme is provided for the patient in combination with historical data and the risk prediction model, the surgical treatment effect and the life quality of the patient are remarkably improved, and the method has wide clinical application prospects.

The invention relates to the technical field of liver surgery, and discloses a liver surgery planning system based on data fusion. The system comprises an image data fusion module, a three-dimensional model construction module, an operation path planning module, a risk assessment module and a scheme optimization module. The image data fusion module integrates CT and MRI images to generate a standardized image fusion model; a three-dimensional model building module generates a liver three-dimensional visual model according to the three-dimensional model; the operation path planning module plans an optimal resection path to form a preliminary operation path scheme; the risk assessment module assesses the surgical risk and generates a report; the scheme optimization module generates a final surgical planning scheme based on the report adjustment parameters. According to the system, through the multi-source data fusion and three-dimensional visualization technology, the liver structure and the tumor position are accurately presented, the operation path is scientifically planned, the operation risk is evaluated and avoided, the operation scheme is optimized, and accurate implementation of the liver operation is assisted.

The invention relates to the technical field of medical apparatus and instruments, in particular to a pressure sensing ureter guiding sheath which comprises a flexible sheath tube body provided with a near-end operation section and a far-end intervention section. The annular pressure sensing array is formed by equidistantly arranging a plurality of piezoresistive sensors along the circumferential direction of the far-end intervention section, and is used for monitoring the ureter wall contact pressure in real time; the signal processing module is integrated on the near-end operation section and is used for carrying out dynamic noise filtering and baseline calibration on the pressure signals from the annular pressure sensing array; and the display screen is connected to the signal processing module and is used for displaying the pressure distribution of the annular pressure sensing array in real time. The scheme is used for solving the problem of mechanical trauma caused by inappropriate size selection, pathological or physiological stenosis and the like in the sheathing canal implantation process in the prior art, and real-time monitoring and dynamic adjustment of the ureter wall contact pressure are realized, so that the surgical risk is reduced, and the surgical success rate is improved.

The invention provides a medical instrument intelligent identification method based on the Internet of Things, and the method comprises the steps: obtaining the real-time operation process information of an operation region, generating a current-stage instrument demand set through an instrument demand identification model, and carrying out the specification optimization. And adding the optimized set to a historical instrument demand atlas, updating the atlas, extracting a historical set from the atlas in combination with historical global instrument demand change information, inputting the historical set into an instrument demand change prediction model, and obtaining instrument demand change information. And comparing historical and predicted instrument demand change information, determining a difference, generating real-time instrument demand change information, and finally displaying a to-be-prepared instrument list on the Internet of Things terminal. The accuracy and efficiency of surgical instrument supply can be improved, the surgical risk is reduced, and the overall management level of an operating room is improved.

The present invention discloses a sheath placement device and a method for using the same. The sheath placement device includes an inner layer member having an operating handle and an insertion portion connected to the operating handle, the insertion portion having an imaging portion; an outer sheath having a drainage port and a distal open end; the insertion portion operatively inserted into the outer sheath and at least partially operatively extended from the distal open end; and a first passageway operatively spaced apart from the outer sheath to form a connection between the drainage port and the distal open end; and a middle layer member operatively inserted between the outer sheath and the insertion portion and at least partially operatively extended from the distal open end; when the middle layer member is withdrawn from between the inner layer member and the outer sheath, a first passageway is formed between the inner layer member and the outer sheath. Compared to existing technologies, this system is easy to use and can simplify surgical procedures while reducing surgical costs, lowering surgical risks, and alleviating patient pain.

The invention relates to the technical field of offshore medical equipment, in particular to a wave compensation operation cabin control method and system for an offshore medical ship, and aims to analyze and predict wave motion by detecting motion parameters of a ship body of the medical ship under the action of waves in real time and adopting a control algorithm. The motion quantity and the target value of adjustment of an adjusting mechanism used for adjusting the position and the posture of the operation cabin are calculated according to the wave motion parameters, the position and the posture of the operation cabin are adjusted according to the motion quantity, finally, the actual position and the posture of the operation cabin are detected in real time, and the detected actual value is compared with the expected target value. The control algorithm is adjusted according to the comparison result, feedback adjustment is achieved, the influence of waves on the operation cabin can be effectively counteracted, a stable operation environment is created for doctors, the operation risk is remarkably reduced, and then the operation success rate is increased.

The utility model provides a strutting test mould, including holding rod, actuating component and two oppositely arranged bracing plate, holding rod includes the near end block that is provided at the far end and axial through inner cavity, actuating component includes drive piece, far end block and transmission structure, drive piece can be movably penetrated in holding rod inner cavity, drive piece is equipped with the far end block and transmission structure, and drive piece is equipped with the far end block and transmission structure, and the drive piece is equipped with the far end block and transmission structure. The near-end block and the far-end block are both in sliding connection with the two supporting plates, the transmission structure is in transmission connection with the far-end block and the driving part, the driving part is rotated to drive the far-end block to move towards or away from the near-end block, and the two supporting plates are opened or closed accordingly. According to the expandable test mold, a doctor can accurately simulate the condition of an implant in a body only through one surgical instrument, test mold instruments with different specifications and sizes do not need to be frequently inserted and taken out in the surgical process, the surgical time can be shortened, damage to surrounding tissue can be avoided, and pain of a patient and surgical risks are reduced.

The invention discloses a polyp and surgical instrument segmentation and real-time early warning method and system based on a digestive endoscope video, and belongs to the technical field of computer-aided endoscope image analysis. The problems that an existing method is poor in segmentation performance and the safety of interactive operation of the surgical instrument and the polyp is difficult to accurately evaluate are solved. According to the method, space and time context information is integrated through the built collaborative learning network model, and collaborative precise segmentation of the polyp and the surgical instrument in the endoscopic surgery video is achieved. The polyp area, the polyp area change rate, the surgical instrument speed, the distance between the polyp and the surgical instrument and the overlapping area and the overlapping percentage of the polyp and the surgical instrument are quantitatively analyzed on the basis of the segmentation results, the surgical risk level is evaluated in real time in combination with a preset risk threshold value, the safety of interaction between the surgical instrument and the polyp is guaranteed, and the surgical efficiency is improved. Therefore, the safety and the intelligent level of the digestive endoscopy minimally invasive surgery are improved.

The invention discloses an operation level grading incentive issuing method for performance appraisal, and belongs to the technical field of medical management technologies, and the method comprises the following steps: 1) a dynamic operation grading weight model: constructing a dynamic weight algorithm based on operation risks, technical difficulty, resource consumption and ethical risks, and adjusting the performance score of each operation in real time; 2) a multi-dimensional performance assessment index system: integrating a technical dimension index and a quality dimension index, and weighting each index through a machine learning model to realize personalized assessment; 3) blockchain-driven incentive issuing: recording operation data and an assessment result by using a blockchain technology; through the dynamic operation grading weight model, the multi-dimensional performance assessment index system, the blockchain-driven incentive distribution and the cross-hospital collaborative incentive pool, the enthusiasm of high-difficulty operation development is improved, the medical resource allocation is optimized, the risk of heavy quantity and light quality is reduced, and the data credibility and incentive fairness are enhanced.

The present invention relates to a main hand force feedback mechanism of a vascular intervention robot, comprising a box body and a panel, wherein the panel is fixed on the box body, a control button is provided on the outer side of the panel, and a force feedback device is installed on the inner side of the panel, the force feedback device comprises a guide wire force feedback mechanism and a catheter force feedback mechanism, the guide wire force feedback mechanism and the catheter force feedback mechanism have the same structure and are symmetrically distributed; the guide wire force feedback mechanism comprises a driving wheel 1, a driven wheel 1, a belt 1 and a belt pressing mechanism 1, the guide wire forward and backward movement knob drives the driving wheel 1 to rotate, the driving wheel 1 drives the driven wheel 1 to move, the belt pressing mechanism 1 adjusts the degree of compression of the belt 1, thereby feeding back the compression force of the belt 1 to the torsional force of the driving wheel 1, and feeding back the force to the guide wire forward and backward movement knob through the driving wheel 1; the present invention maps the force conditions of the guide wire and the catheter in the blood vessel to the main end operating mechanism, restores the doctor's on-the-spot feeling during operation, thereby reducing the surgical risk and improving the surgical accuracy.

The invention belongs to the field of biological medicine research and development, discloses a method and a system for collecting and analyzing auditory electrophysiological data of experimental animals, and is particularly suitable for non-human primates. The method comprises the following steps: delivering a drug to a middle ear cavity through an external auditory canal, and synchronously recording auditory electrophysiological data before and after drug administration; aBR and DPOAE multi-mode detection is adopted, and the frequency range of 4 kHz to 32 kHz is covered; setting anesthesia depth and three-electrode positioning to reduce interference; optimizing the signal-to-noise ratio through noise suppression and dynamic signal superposition; an auditory threshold database is constructed, and a machine learning model is combined to judge an injured part. The system integrates a multi-modal stimulation module, a minimally invasive drug delivery device and a data analysis platform, and supports cross-species data compatibility. The accuracy of otology medicine research is remarkably improved, the surgical operation risk is avoided, and the method is suitable for gene therapy, ototoxicity screening and other scenes.

The invention discloses a thighbone inverted-hitting intramedullary nail entry point guide plate and a preparation method thereof, and aims to improve the precision and efficiency of a thighbone intramedullary nail operation. The guide plate comprises an attaching plate and a guide column, the attaching plate is provided with an attaching face precisely matched with a femoral intercondylar fossa and an inner side condylar area, it is ensured that the guide plate can be stably attached to the distal end of the femur, and stable support is provided for an operation. One end of the guide column is connected with the pasting plate, the other end of the guide column extends towards the proximal femur, a guide hole is formed in the guide column, the central axis of the guide hole is strictly collinear with a preset needle inserting point at the distal femur, and reliable guidance is provided for accurate insertion of an intramedullary nail. The guide plate can be prepared before an operation, assists a doctor in quickly positioning a needle inserting point during the operation, effectively shortens the operation time, improves the operation efficiency, reduces the operation risk, and provides an efficient and accurate auxiliary tool for the femoral intramedullary nail operation.

The invention discloses a scalpel assembly special for tendon sheath release. The scalpel assembly comprises a grip and a scalpel body. The front end of the grip is rotationally connected with the cutter body; the upper portion of the knife body is provided with a covering end, the lower portion is provided with a tendon end, and the middle of the rear end is provided with a connecting rod rotationally connected with the handle. The front end of the tendon end is fusiform, and a binding surface is arranged on one surface far away from the knife body; the binding face is arranged to be an inwards-concave curved face. In the tendon sheath release operation, the binding face can be tightly attached to the surface of the tendon, the situation that due to the fact that a traditional scalpel is difficult to be tightly attached to the tendon, the tendon is cut by mistake due to slight deviation in the operation process is effectively avoided, the operation risk is greatly reduced, and the occurrence probability of postoperative tendon dysfunction and other serious complications is reduced.

The invention belongs to the technical field of medical treatment, and particularly relates to an analgesic anti-inflammatory drainage tube which comprises an outer tube, an inner tube and a medicine guide tube, the inner tube is arranged in the outer tube, connected with a first one-way valve and connected with the medicine guide tube through the first one-way valve, and the medicine guide tube is connected with a medicine slow release device; the medicine slow-release device comprises a slow-release cavity, a suction pump, a partition plate and a pressing mechanism, a medicine guiding cavity is fixed in the slow-release cavity and connected with a medicine guiding pipe, the partition plate is fixedly installed on the inner wall of the slow-release cavity, a through hole is formed in the middle of the partition plate, an injection pipe is connected to the right side of the bottom of the slow-release cavity, and a second one-way valve is arranged in the injection pipe. The device solves the problems that when a current drainage tube releases a medicament, the medicament release speed and the single release amount cannot be accurately adjusted, so that the medicament supply is too much or insufficient, and manual control and automatic control cannot be freely selected, so that the surgical risk is increased.

The invention relates to the technical field of medical auxiliary diagnosis, and discloses a hypospadias penis curvature measuring method based on physical simulation inversion. The invention aims to solve the technical pain point that the penile erection curvature and the internal fibrosis focus distribution are difficult to quantify noninvasively and accurately before the operation in the existing hypospadias diagnosis and treatment. According to the method, a standard white mold containing fine anatomical partitions is constructed, personalized geometric mapping is realized by using a static look-around image, and constraint physical parameter inversion is performed in combination with a multi-attitude dynamic stress image, so that the digital twin with real biomechanical properties is reconstructed in a virtual environment. According to the method, the erection bending form can be accurately predicted in the non-erection state, the mechanical property abnormal area range is positioned, operation planning is assisted, experience medical treatment is spanned to accurate digital medical treatment, and the wound diagnosis and treatment and operation risks are remarkably reduced.

The invention relates to a brain wave signal acquisition device, belongs to the technical field of medical instruments, and solves the problems that in the prior art, a brain wave signal acquisition device is implanted into the cerebral cortex of a human body through craniotomy, the trauma of a patient is large, the surgical risk is high, and various complications can be caused. The brain wave signal acquisition device comprises a bracket main body, an electrode plate and a conductive wire; the stent body is of an open curled cylindrical structure composed of a plurality of grid units, openings are formed in the two axial ends of the stent body, and gaps are formed in the curled butt joint positions on the side wall face of the stent body. The electrode plates are arranged on the grid units; the conductive wire is wound on the stent main body, one end of the conductive wire is connected with the electrode plate, and the other end of the conductive wire is wound to the near end of the stent main body. The brain wave signal acquisition can be realized without a craniotomy operation, so that the trauma to a patient is small, and the operation risk is obviously reduced.

The invention relates to the technical field of medical treatment, in particular to preoperative witness service equipment and a preoperative witness service method, which realize standardized management of the whole process of preoperative conversation, ensure that preoperative risk notification of each operation is strictly executed according to a standard process, reduce medical dispute risks caused by inadequate notification and improve the safety of medical treatment. The medical quality and management level of hospitals are improved, the intelligent system is easy and convenient to operate, the time and energy of preoperative communication can be saved, meanwhile, accurate risk informing prompts are provided, medical staff are assisted in better performing informing obligations, the working efficiency and the medical service quality are improved, the preoperative conversation content is clearly and completely recorded and presented, and the medical quality of the hospitals is improved. Therefore, the system can comprehensively and detailedly know operation risks and related matters, enhances the trust to hospitals and medical staff, and reduces misunderstanding and disputes caused by information asymmetry. Therefore, the problem that an existing preoperative conversation recording mode is not standard and is easy to tamper is solved.

The invention relates to the field of orthopedic surgery risk assessment, in particular to an orthopedic surgery risk assessment method and system. The method comprises the following steps: acquiring preoperative data and intra-operative data of an orthopedic surgery of a patient, performing data preprocessing on the preoperative data and the intra-operative data, and extracting bone microstructure spatial features in initial orthopedic surgery data by using a cascade feature extraction network; calculating an association weight of the image data and the biological signal through a cross-modal attention mechanism, and constructing a patient specific skeleton model based on finite element analysis to perform real-time scene simulation on the characteristic orthopedic surgery data; the influence of joint contact stress distribution under different osteotomy angles, a bone implant interface micro-motion threshold after implantation of an internal fixation instrument and hemodynamic changes on a bone healing microenvironment is simulated in real time, complications caused by misoperation are remarkably reduced, and the success rate of an operation is increased.