41 results about "Medical simulation" patented technology

The invention relates to the technical field of medical simulation training, in particular to an ultrasonic operation intelligent training method and device based on multiple modalities, and the method comprises the steps: obtaining real-time six-degree-of-freedom pose data of an ultrasonic probe held by an operator, and generating an ultrasonic image in real time through a first deep learning model in cooperation with scene parameters; wherein the first deep learning model is trained to learn and establish a continuous mapping relation from an ultrasonic probe pose space to an ultrasonic image space; performing section classification on the ultrasound image by using a second deep learning model, and determining deviation information for a non-standard section; and based on the real-time six-degree-of-freedom pose data and a division result of a preset standard section and an ultrasonic probe pose, generating visual guide information for guiding an operator to adjust the probe pose, and displaying the visual guide information. In this way, the problems that an existing virtual training image is discontinuous and guiding is inaccurate are solved, and meanwhile the training efficiency and the reality sense of ultrasonic operation are remarkably improved.

The invention discloses an umbilical vein catheterization virtual-entity fusion training system based on a novel material, and relates to the technical field of medical simulation training. According to the system, a dynamic three-dimensional umbilical vein anatomical model is constructed through the virtual simulation unit, the entity operation unit adopts a bionic gradient material to simulate neonatal umbilical tissue, and the binding force feedback unit realizes tactile-visual dual-channel interaction. Comprising a multi-source coupling coordinate calibration algorithm, a viscoelastic layered deformation transmission algorithm and the like, and the problems of insufficient operation authenticity and feedback lagging in traditional training are solved by dynamically matching virtual and entity operation spaces and simulating real tissue mechanical response. The novel material preparation unit realizes mechanical property matching with human tissues through a nano-composite process, and the environment simulation unit can reproduce various pathological scenes. The immersion and effectiveness of operation training are remarkably improved, and the method is suitable for standardized training of medical staff in the neonatology department.

The invention discloses a task state brain-computer interface training system for closed-loop transcranial focused ultrasound, and relates to the technical field of medical simulation training. According to the task state brain-computer interface training system for closed-loop transcranial focused ultrasound, the states of software, hardware and participants are verified and protected in sequence through a safety and equipment initialization module; the baseline acquisition and feature calibration module extracts individualized EEG time-frequency features with high signal-to-noise ratio in resting and task states and screens key channels, the offline decoding training module aligns feature mapping and task labels and then generates a high-precision discriminator through cross validation optimization, and the online closed-loop modulation module embeds the discriminator into a real-time EEG assembly line. The self-adaptive optimization and advanced task module realizes'reading-judging-writing-evaluating 'closed-loop intervention, guarantees safety through physiological monitoring, and finally constructs a safe, accurate and sustainable self-perfect closed-loop transcranial focused ultrasound brain-computer interface training platform by continuously iterating a model and stimulation parameters based on real-time feedback and historical data through the self-adaptive optimization and advanced task module.

The invention relates to the technical field of medical simulation training equipment, in particular to an arm puncture simulation training device and a simulation system thereof, comprising an arm model main body and a control box base arranged at the end of the arm model main body; the puncture training assembly is arranged on the arm model main body and comprises a hand back clamping groove formed in the hand back of the arm model main body, a hand back module piece arranged in the hand back clamping groove, an ejection piece arranged in the hand back clamping groove and a storage piece arranged in the control box base; the rectangular plate is arranged in the control box base, long objects such as tourniquets and the like can be clamped and stored in the rectangular plate, so that the long objects cannot be intertwined and interfered with one another, medical students can clearly take needed objects, the first connecting rod and the second connecting rod drive the expansion plate to be unfolded in the control box base, and the expansion plate is convenient to use. Storage of necessary small articles such as cotton swabs by the control box base is improved, and the situation that the necessary articles of the arm model main body are stored in a mess is improved.

The invention relates to the technical field of medical simulation, in particular to an ablation needle puncture training auxiliary system, and aims to solve the problems of insufficient tactile feedback and low fineness when an existing ablation needle puncture training system simulates a needle tip to penetrate through multiple layers of biological tissues so as to improve the'needle feeling 'cognition and fine operation skills of doctors. The system is characterized by comprising a physical interaction module, a virtual simulation module, a central processing module and a visual presentation module, a high-fidelity virtual tissue model is constructed, real-time multi-mode tactile feedback is combined, and an accurate needle-tissue interaction mechanical simulation and multi-dimensional tactile rendering algorithm is adopted. By the adoption of the technical scheme, the problem of a touch gap is effectively solved, the authenticity and effectiveness of simulation training are improved, and the precision and safety of clinical puncture operation are remarkably improved.

This invention discloses a seamless switching medical simulation training system that integrates virtual and real-world childbirth and postpartum hemorrhage scenarios. Its features include: a maternal model, a childbirth simulation mechanism, and a postpartum simulation mechanism, one of which can be selectively mounted on the maternal model; the childbirth model mechanism includes an infant model, a birthing belly component, a birthing vagina component, and a drive device. The drive device is located within the maternal model, and the infant model is mounted on the drive device, allowing the drive device to move the infant model linearly and rotate towards the birthing vagina component; the birthing belly component is equipped with undulating components; this system achieves seamless switching between childbirth and postpartum hemorrhage scenarios through a modular and detachable structure, realistically simulating clinical scenarios such as the childbirth process and postpartum hemorrhage care. It is comprehensive in function, realistic in operation, and can effectively improve the standardized operation and emergency response capabilities of medical personnel.

The invention relates to the technical field of medical simulation devices, in particular to an artificial intelligence driven thoracic and abdominal movement simulation die body which comprises internal soft tissue equivalent to a human tissue CT value, the simulation die body can simulate movement of the heart, the lung, the liver, the intestinal tract and the tumor at the same time, surface movement simulation of the die body is considered, and the simulation effect is good. Simulation movement is achieved through multiple maneuvering modes, and movement of thoracic and abdominal organs, tumors and body surfaces is restored to the maximum extent. The model body is made of a simulation material equivalent to a human tissue CT value, it is ensured that the physical property of the model body is similar to that of the human tissue, the simulation authenticity is improved, and organ movement control modes including fixed frequency input, collected patient frequency input and movement frequency predicted through an artificial intelligence algorithm are flexible and diversified. And guarantee is provided for dosimetry verification by shooting 4D CT and position error verification by means of a body surface optical positioning system.

The present application relates to the technical field of medical simulation, in particular to a postoperative hemorrhage intelligent early warning and nursing simulation system based on virtual-real linkage, which comprises a construction module, an embedding module, a simulation module, an analysis module and a processing module. The construction module sets a time window and generates a postoperative hemorrhage quantitative identification model according to postoperative hemorrhage historical case data, embeds the model into the simulation system, and automatically switches the model calling according to the collection time. The simulation module locks the hemorrhage stage and generates clinical manifestations through index threshold matching. The analysis module makes abnormal grade labeling on the manifestations, determines the hemorrhage signs according to the rules, and the processing module triggers the graded early warning according to the hemorrhage signs and calls the adaptive postoperative hemorrhage nursing simulation operation. The present application solves the problems of experience-dependent postoperative hemorrhage judgment and early warning lag, realizes the timely early warning of postoperative hemorrhage, builds a virtual-real linkage simulation training system that fits the clinic, improves the emergency disposal ability of medical staff, and has clinical practicability.

The invention discloses a robotic wounded personnel system for quantitative evaluation of bioaerosol respiration exposure, and belongs to the technical field of medical simulation models, and the robotic wounded personnel system comprises a human body shape subsystem; the bionic breathing subsystem is arranged in the simulated human body model; the simulated lung subsystem is arranged in the simulated human body model; the rear end of the air pipe simulation structure communicates with the cylinder through a first one-way valve; an aerosol analysis unit; one end of the exhaust pipeline is communicated with the cylinder through a second one-way valve, and the other end is communicated with the air pipe simulation structure through a filter; the bionic respiration subsystem is provided with detection points, and the aerosol analysis units are connected to the detection points respectively for sampling and analyzing particle size distribution and concentration of aerosol of each detection point. The system simulates a human body breathing process in a biological aerosol environment through the machine wounded simulation model, and can realize accurate quantitative evaluation of aerosol breathing exposure in combination with the aerosol analysis unit.

This application relates to the field of medical simulation model manufacturing technology, specifically to a method for fabricating a fourth-level bronchus model, comprising: S1. Reverse modeling based on CT scan data of healthy human bronchi, and using Lasty-R liquid material to 3D print a lost foam of the fourth-level bronchus; S2. Applying a layered coating of platinum silicone to the surface of the lost foam and simulating the histological features of the bronchus to obtain a bronchus blank coated with a silicone layer; S3. Placing the bronchus blank in a heating environment of ≥100℃ to soften and break the internal lost foam into fragments; S4. Adding a lubricant into the cavity of the bronchus blank, removing the lost foam fragments, and obtaining a hollow fourth-level bronchus model. This method simplifies the fabrication process of the fourth-level bronchus model, shortens the cycle time, and reduces costs. The model has high simulation accuracy and strong reusability, meeting the needs of clinical training and medical teaching in multiple scenarios.

The invention relates to the technical field of medical instruments and medical simulation training, discloses a stomach tube visual training system and method, and aims to solve the problems that an existing training system is low in visual precision, lacks neurology special pathological scene modeling, and cannot intelligently recognize operation errors and provide personalized feedback. The method comprises the following steps: constructing a high-fidelity anatomical digital twin integrating hyperpharyngeal reflex and esophageal spasm simulation; through fusion sensing of the fiber bragg grating and the inertial measurement unit, the pose and mechanical parameters of the stomach tube are collected in real time, and advanced training tasks are dynamically recommended. The system comprises a high-fidelity anatomical model module, a multi-modal sensing fusion module, a visual rendering module, an intelligent error recognition module and a personalized training feedback module. According to the technical scheme, the authenticity of training, the accuracy of operation feedback and the individuation level of skill improvement are remarkably improved.

The invention discloses a real-time feedback teaching method and system for a medical dummy, and relates to the technical field of medical education, and the method comprises the steps: collecting multi-source behavior data generated when a student operates the medical dummy through a sensor group, carrying out the feature extraction, carrying out the real-time comparison, and generating decision deviation data, when the deviation exceeds a threshold value, an intervention instruction is triggered, teaching intervention is executed, operation deviation can be captured in real time, targeted guidance can be dynamically generated, multi-source behavior data are collected and analyzed in real time and compared with a standard clinical decision path, operation deviation of trainees can be detected in real time, teaching intervention is automatically triggered when the deviation is too large, and teaching efficiency is improved. Therefore, timeliness and accuracy of medical teaching feedback are improved, wrong operation is prevented from being solidified, and training efficiency is improved.

The invention relates to the technical field of medical simulation training, in particular to an injury condition medical simulation practice system, which comprises a field integrated simulation terminal, the field integrated simulation terminal comprises a controller, a display, a memory and a simulation device, and the simulation device comprises a simulation box and a plurality of simulation persons located in the simulation box and used for simulating different injury conditions; the controller, the display and the memory are arranged on the simulation box; a plurality of injury condition training modes, injury condition processing standard steps and injury condition processing medical materials are stored in the memory; the display displays injury condition mode selection; during use, trainees select injury condition training modes through the display, the controller controls the simulation box to rotate to switch the simulated persons, and the box door is automatically opened to output the corresponding simulated persons upwards; and meanwhile, the controller calls the injury condition processing standard steps of the corresponding modes to be displayed on the display, so that trainees can independently train, the training efficiency is improved, and the waste of human resources is reduced.

The invention discloses a voice generation method and electronic equipment, and the method comprises the steps: obtaining the feature information of a virtual object, the feature information comprises the basic information and medical information of the virtual object, and the medical information comprises at least one of a diagnosis result, a medical record, and a psychological assessment result; determining a target voice parameter based on the feature information; obtaining output text information; and obtaining voice data based on the target voice parameter and the output text information. According to the invention, personalized adjustment of the voice parameters is realized according to the features of the virtual object, so that the generated voice information better fits the real expression corresponding to the virtual object, and the technical effect of improving the reality sense and credibility of interaction in medical simulation is achieved.

A method is provided for transforming a high-level language representation of a tensor computation graph into a low level language. The method includes assigning a tensor shape and a loop primitive. The method also includes generating, from the tensor computation graph and the assigned loop primitives, an initial loop structure. The method further includes positioning the layers of the tensor computation graph within a nested loop structure to provide a final loop structure, collapsing loops in the final loop structure, and mapping the collapsed loops to hardware components configured to execute the collapsed loops. The method can be applied to artificial intelligence (AI) and machine learning (ML) use cases for improved optimization of neural networks including compilation optimization for improving performance of simulations such as medical simulations, healthcare simulations, weather simulations, and / or simulations related to other complex systems, which can also support decision making.

The application relates to the technical field of medical simulation teaching, in particular to a virtual teaching system of a bronchoscope. An acquisition module first acquires the multi-modal operation data of a target operator on a virtual bronchoscope collected in real time through a VR device. An evaluation module generates a capability profile and determines a weak point in capability in combination with the multi-level branch anatomical features and respiratory physiological features of a bronchus. An adjustment module selects training content matched with the capability profile and the weak point in capability from a training library. An interaction module visualizes the operation suggestions of a teacher and superimposes the operation suggestions on the display interface of the VR device through an AR device to dynamically update the display parameters. The application provides targeted teaching scenes for target operators with different degrees of proficiency in combination with the VR device and the AR device, improves the training efficiency and clinical conversion rate, and reduces the understanding difficulty of the target operator based on the visual guidance of the teacher, thereby improving the teaching efficiency of bronchoscope operation.

The invention relates to the field of medical simulation training instruments, in particular to an ultrasonic guided puncture training system and method based on multi-modal feedback. The system comprises a bionic tissue module, a puncture needle and a control host. Conductive target units in various shapes such as a circular shape, an oval shape and an irregular shape are embedded in the bionic tissue module according to the training difficulty gradient so as to correspond to graded training targets of different clinical scenes. And the control host is electrically connected with the puncture needle and each target point unit to form a trigger circuit. During training, an operator punctures and selects a target spot under the guidance of an ultrasonic image, and when a needle point accurately touches the target spot, a circuit is switched on and real-time acousto-optic feedback is generated. According to the method, standardized and stepped full-process puncture skill training is realized through a structured polymorphic target design and an electric and image dual-mode feedback mechanism, and the pertinence, the real-time performance and the clinical conversion effect of training are effectively improved.

The present invention provides a medical simulation for realizing efficient training by guiding the operation of an endoscope probe in the training of an endoscope using a medical simulator, and a training method using the medical simulator. In addition, the invention further provides a medical simulator which is miniaturized as much as possible and low in cost and a training method thereof, so that on-site training is facilitated. A medical simulator (10) is provided with a stomach (6), which is a hollow organ model in which the inside can be imaged through the tip (221) of an endoscope probe (22), and the stomach (6) is provided with first to eleventh guide sections (G1 to G11) for guiding the endoscope probe (22), the first to eleventh guide sections (G1 to G11) being respectively disposed corresponding to different first to eleventh specific sites (P1 to P11).

The application provides a covered stent release mechanical navigation method, device and equipment and a readable storage medium, and relates to the technical field of medical simulation. The covered stent release mechanical navigation method comprises the following steps: placing a pre-generated stent model in a compressed state into a lesion area of a pre-generated lumen model, converting the stent model to a release state, and obtaining mechanical simulation data; inputting a simulation fluid into the lumen model in which the stent model is placed, and obtaining fluid dynamics data; and obtaining a simulation result of covered stent release according to at least one of the mechanical simulation data and the fluid dynamics data. By simulating the stent release process and the body fluid flow, accurate stent release effect evaluation is provided for medical staff, which helps to optimize the selection and release position of the covered stent, reduces complications, and improves the success rate of surgery.

The invention provides a neurology training method and device suitable for multi-terminal interconnection, and relates to the medical simulation training technology, the neurology operation process can be trained through VR equipment, a user can enter a simulation operation scene by wearing the VR equipment, and the operation efficiency is improved. The system can generate the virtual display data in the user operation process in combination with the initial difficulty, score the virtual display data according to the operation condition of the user, adjust the simulation difficulty in combination with the score data, reduce the difficulty if the score of the user is low, improve the difficulty if the score of the user is high, and update the virtual display data in real time in combination with the adjustment difficulty. Therefore, the training difficulty can be automatically optimized in combination with the operation condition of the user, and the efficiency and flexibility during user training are improved.

The application discloses a medical simulation person real-time feedback teaching method and system, relates to the technical field of medical education, and discloses the medical simulation person real-time feedback teaching method and system, multi-source behavior data generated by a sensor group collecting the operation of a medical simulation person of a student is collected, feature extraction is carried out, and decision deviation data is generated by real-time comparison; when the deviation exceeds a threshold value, an intervention instruction is triggered and teaching intervention is executed, operation deviation can be captured in time and targeted guidance can be dynamically generated, multi-source behavior data is collected and analyzed in real time, and comparison with a standard clinical decision path can be carried out, operation deviation of a student can be detected in time, teaching intervention can be automatically triggered when the deviation is too large, the timeliness and accuracy of medical teaching feedback are improved, error operation is avoided to be solidified, and training efficiency is improved.

The invention provides a marine medical equipment simulation cabin. The marine medical equipment simulation cabin comprises a cabin body, a medical equipment system, an environment regulation and control system, an audio and video monitoring communication system and an electrical control system. Training personnel enter the simulation cabin, and the simulation cabin is driven by the motion platform to perform composite motion and is used for simulating ship motion under different sea conditions. The medical equipment system is reliably fixed through the mooring device, and the stability in the swinging process is improved. Training personnel realize information intercommunication and video monitoring with personnel outside the cabin through the audio and video monitoring communication system, so that the technical effects that the training process is traceable and multi-terminal cooperation is convenient and fast are realized. The environment regulation and control system is used for simulating the real environment condition in the ship medical cabin, and meanwhile the comfortable medical environment is improved. According to the medical simulation cabin, internal matching equipment is perfect, targeted training of simulation is high, internal medical equipment is adaptively transformed under the condition of platform movement, and it is ensured that the training process is real and stable.

The invention relates to the technical field of medical simulation training, in particular to a diagnosis and treatment thinking dynamic simulation training method and system based on a computable physiological model, and the method comprises the steps: instantiating a virtual patient model defined by a physiological state vector, a clinical expression vector and a static parameter; receiving a user diagnosis and treatment operation instruction; according to the medical knowledge rule base, the influence of the coupling differential equation set dynamic calculation operation on the physiological state vector is solved; according to the updated physiological state, generating a corresponding clinical manifestation vector through a mapping function; the clinical manifestation is converted into a multi-mode feedback signal to be output; and forming an interactive training cycle, and performing multi-dimensional quantitative evaluation based on the complete operation sequence and the final state of the model. The system takes a computable model as a core, realizes continuous dynamic evolution and response of cases, and can effectively train and evaluate the high-order diagnosis and treatment thinking ability of clinicians.

The application discloses a trauma rescue training method and system based on somatosensory interaction and multi-modal perception, and particularly relates to the field of medical simulation training, and is used for solving the problems that rescue operation stability is difficult to quantify and on-site rescue and transportation risk is disconnected. First, a virtual-real space mapping matrix and a treatment benchmark library are constructed, equipment identity and pressure time sequence data are synchronously collected, pressure dispersion is extracted to generate an operation mechanics stability index; then, intervention behavior compliance is checked, the pressure dispersion is mapped to a wound fastening coefficient, and the virtual wounded blood loss rate is dynamically corrected; finally, the transportation vibration energy spectrum and the fastening coefficient are introduced for mechanics coupling checking, when the vibration intensity breaks through the maintenance threshold, the secondary bleeding logic is triggered, the clinical rescue outcome is judged, and a whole-chain closed-loop training system from accurate rescue to dynamic transportation is constructed.

The invention provides an organ model-oriented geometric materialization method and system. The method comprises the following steps of: obtaining a three-dimensional surface grid model of a target organ; carrying out organ anatomical feature recognition and classification on the three-dimensional surface grid model, and determining a classification result; the classification result comprises physiologic holes, sharp anatomical features, parenchymal tissues and non-physiologic defects; according to a classification result, carrying out differential repair and optimization processing on the three-dimensional grid model to obtain a processed grid model; and performing curved surface reconstruction and materialization on the processed grid model to obtain a geometric materialization model of the target organ. According to the method, the surface mesh model can be converted into a solid model with clear internal and external spaces, the applicability and simulation precision of the model in finite element analysis are remarkably improved, and reliable technical support is provided for biothermotics, mechanical behavior research and medical simulation.

The invention relates to a medical simulation teaching technology, in particular to a uterus and mouth examination simulation teaching system, which is characterized in that an entity part comprises a maternal model and an interactive cervix uteri simulation assembly; the data processing part comprises an intelligent control module, a teaching evaluation module and an intelligent feedback module; the visualization part comprises an AR visualization feedback module, a radial pressure sensor, an axial pressure sensor and a displacement sensor of the cervix uteri simulation assembly, and is used for synchronously collecting palpation stress and uterine mouth opening change and storing the palpation stress and the uterine mouth opening change in a warehouse; the teaching evaluation module automatically scores based on standard data, an AR terminal overlaps and displays a pressure threshold ring, a track guide line and judgment prompt, evaluation feedback and intelligent guidance to generate error correction key points, and reproducible training, objective assessment and closed-loop improvement are achieved.

This invention relates to the field of medical simulation technology, specifically to a closed-loop suctioning simulation teaching system and method for newborns. The system includes: a data analysis module, a risk screening module, a physiological calculation module, a decision-making and early warning module, and a result evaluation module. In this invention, multi-dimensional temporal features such as airway interaction pressure and suctioning duration are comprehensively collected and time-aligned. Outliers such as excessive radial pressure and insertion depth are simultaneously screened to form a risk feature vector, objectively characterizing potentially dangerous actions that could induce airway mucosal damage. Combined with risk data, physiological performance sequences such as blood oxygen saturation and heart rate are calculated in depth. A decision tree model is used to comprehensively predict the linkage between physiological indicators and operational risks to generate graded early warning instructions. This effectively overcomes the subjective assessment blind spots caused by traditional single physical feedback, accurately identifies potential harm hazards caused by improper operation, and achieves automated and standardized evaluation.

The present application provides an artificial-intelligence preoperative planning system for multiple orthopedic disease types, the system comprising: an import module, configured to import medical image data; a three-dimensional reconstruction module, configured to establish a corresponding three-dimensional image model on the basis of the medical image data; a bone segmentation module, configured to segment bones in the medical image data; and at least three of the following modules: a hip joint simulation module, a knee joint simulation module, a spinal joint simulation module, a sports medicine simulation module, and a trauma surgery simulation module. In the present disclosure, by providing multiple surgical simulation modules respectively corresponding to different types of orthopedic surgery, the coverage scope of the preoperative planning system is significantly increased.

The invention discloses a teaching asset real-time positioning and management system and method of a medical simulation center. The method comprises the following steps: acquiring real-time positions, states and electric quantity information of all teaching assets in a medical simulation center to construct a current asset configuration; obtaining a target task configuration associated with the specific teaching task, wherein the target task configuration defines an asset configuration requirement required by the task; on the basis of the current asset configuration and the target task configuration, calculating a scene potential energy for quantifying the configuration mismatching degree of each related teaching asset for each related teaching asset; and according to the size of the scene potential energy, a configuration convergence instruction is generated and distributed according to the priority so as to guide the physical position or the function state of the teaching assets to converge to the target task configuration. According to the method, the asset management problem is converted into a quantifiable configuration convergence process, so that the automation level, accuracy and efficiency of teaching scene preparation are remarkably improved.

The application relates to a control method of a medical simulation robot, comprising the following steps: adjusting the temperature of a temperature adjusting instrument of a palm part of the simulation robot through an adaptive temperature control algorithm; based on signals of each joint part of a skeleton, and through a posture control algorithm, the activity posture of each joint of the simulation hand is selected and controlled, so that the simulation robot touches a to-be-medically-comforted part; when in a patting mode, the simulation hand pats the back of a patient; when in a light touching mode, the simulation hand lightly touches the back or chest of the patient; when in a light holding mode, the simulation hand lightly holds the hands of the patient; based on a light sensing signal of the palm part, blood oxygen saturation information of the hands of the patient is acquired, and a health monitoring algorithm is used for analysis, so as to generate a patient health state report. Compared with the prior art, the simulation hand has multiple functions, including comforting, temperature adjustment, posture control, light receptor monitoring and the like, can realize adaptive adjustment, and improves the comfort and satisfaction of the patient.